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  • Reactive echeduling for the coordination of Energy supply and demand management in microgrids

     Silvente Saiz, Javier; Kopanos, Georgios M.; Pistikopoulos, Efstratios N.; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2014
    Journal article

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    This work focuses on the development of scheduling strategies for the coordination of energy production and consumption tasks in microgrids through the management of flexible demand profiles. Delays in the nominal energy demands are allowed under associated penalty costs. The basic microgrid structure studied consists of renewable energy generators (photovoltaic panels, wind turbines) and energy storage units that alleviate the main drawback of such systems which is the mismatch between energy production and demand. A mathematical formulation is presented and used in a rolling horizon scheme that periodically updates input data information.

  • Tactical management for coordinated supply chains

     Zamarripa Pérez, Miguel Ángel; Hjaila, Kefah; Silvente Saiz, Javier; Espuña Camarasa, Antonio
    Computers & chemical engineering
    Date of publication: 2014-07-04
    Journal article

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    Current supply chain (SC) optimization models deal with material and information flows along few echelons of the SC ("own SC"), minimizing the role of the complex behavior of third parties (raw materials and utilities suppliers, clients, waste and recovery systems, etc.) in the decision-making process of this SC of interest. Third parties are just represented by simplified parameters (capacity, cost, etc.) usually considered constant, but the decisions based on this picture are not adequate when the third parties' behavior is significantly affected by these decisions or other circumstances, especially when global coordination is attained. In this work, the role of these third parties, which might face different objectives, has been integrated and a solution based on the full SC management problem is proposed. This results on a generic model which may be used to optimize the planning decisions of the multi-product multisite SC of interest (production/distribution echelons), taking into account the production vs. demand coherence among this SC and the third parties. The features of the proposed model are illustrated using a case study which considers the coordination of a series of resource (energy) generation SCs linked to a production/distribution SC ("SC of interest"). The results show how the behavior of the considered SCs determines the best planning decisions of each organization, which will depend on the way used to coordinated them (e.g. toward less total or individual costs), adding to the PSE science a new point of view which allows all involved organizations to share responsibilities in the system. (C) 2014 Elsevier Ltd. All rights reserved.

    Current supply chain (SC) optimization models deal with material and information flows along few echelons of the SC (

  • Using mathematical knowledge management to support integrated decision-making in the enterprise

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    Computers & chemical engineering
    Date of publication: 2014-07-04
    Journal article

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    The basis of decision-making in the enterprise consists in formally representing the system and its subsystems in models which adequately capture those features which are necessary to reach consistent decisions. This work represents the elements of the enterprise which are included in mathematical models (i.e. decisions, parameters, constraints, performance indicators) in an ontology which captures the knowledge of the mathematical domain. Thus, this ontology relates the mathematical elements of the models to their corresponding semantic representation within the enterprise ontology. As a result, the mathematical symbolic abstractions of a given enterprise element in different models are directly linked to their actual unique meaning, and the integration of decisions in the enterprise is transparent and improved. The purpose of this work is illustrated in a case study related to capacity planning in the supply chain and scheduling problems. (C) 2014 Elsevier Ltd. All rights reserved.

    The basis of decision-making in the enterprise consists in formally representing the system and its subsystems in models which adequately capture those features which are necessary to reach consistent decisions. This work represents the elements of the enterprise which are included in mathematical models (i.e. decisions, parameters, constraints, performance indicators) in an ontology which captures the knowledge of the mathematical domain. Thus, this ontology relates the mathematical elements of the models to their corresponding semantic representation within the enterprise ontology. As a result, the mathematical symbolic abstractions of a given enterprise element in different models are directly linked to their actual unique meaning, and the integration of decisions in the enterprise is transparent and improved. The purpose of this work is illustrated in a case study related to capacity planning in the supply chain and scheduling problems. (C) 2014 Elsevier Ltd. All rights reserved.

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    Towards automatic construction of domain ontologies: Application to ISA88  Open access

     Farreres De La Morena, Javier; Graells Sobre, Moises; Rodriguez Hontoria, Horacio; Espuña Camarasa, Antonio
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2014-06-17
    Presentation of work at congresses

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    Process Systems Engineering has shown a growing interest on ontologies to develop knowledge models, organize information, and produce software accordingly. Although software tools supporting the structure of ontologies exist, developing a PSE ontology is a creative procedure to be performed by human experts from each specific domain. This work explores the opportunities for automatic construction of domain ontologies. Specialised documentation can be selected and automatically parsed; next pattern recognition methods can be used to extract concepts and relations; finally, supervision is required to validate the automatic outcome, as well as to complete the task. The bulk of the development of an ontology is expected to result from the application of systematic procedures, thus the development time will be significantly reduced. Automatic methods were prepared and applied to the development of an ontology for batch processing based on the ISA88 standard. Methods are described and commented, and results are discussed from the comparison with a previous ontology for the same domain manually developed.

    Process Systems Engineering has shown a growing interest on ontologies to develop knowledge models, organize information, and produce software accordingly. Although software tools supporting the structure of ontologies exist, developing a PSE ontology is a creative procedure to be performed by human experts from each specific domain. This work explores the opportunities for automatic construction of domain ontologies. Specialised documentation can be selected and automatically parsed; next pattern recognition methods can be used to extract concepts and relations; finally, supervision is required to validate the automatic outcome, as well as to complete the task. The bulk of the development of an ontology is expected to result from the application of systematic procedures, thus the development time will be significantly reduced. Automatic methods were prepared and applied to the development of an ontology for batch processing based on the ISA88 standard. Methods are described and commented, and results are discussed from the comparison with a previous ontology for the same domain manually developed.

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    Gestió de projectes experimentals al laboratori  Open access

     Graells Sobre, Moises; Pérez Moya, Montserrat; Bernal, Fernando; Boada Altarriba, Enric; Borras Cristofol, Nuria; Calvet Tarragona, Aurelio; Carral Mahia, Mª Eva; Dosta Parcerisa, Jordi; Espuña Camarasa, Antonio; López Mesas, Montserrat; de Miguel Gisbert, Leopoldo; Pujol, Carme; Sánchez, Margarita; Del Valle Mendoza, Luis Javier; Capon Garcia, Elisabeth; Nadal Cabezas, Sergi; Pérez, Mar; Yélamos, Ignacio; Bello, M. Camino; Ortega, Esther; San Antonio, Virginia
    Jornada d'Innovació Docent UPC
    Presentation's date: 2014-04-24
    Presentation of work at congresses

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  • Applying metamodels and sequential sampling for constrained optimization of process operations

     Shokry, Ahmed F.; Espuña Camarasa, Antonio
    International Conference on Artificial Intelligence and Soft Computing
    Presentation of work at congresses

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    This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the complex nonlinear model based on first principles with Kriging metamodels. Coupled to Kriging, the "Constrained Expected Improvement" technique and a sequential sampling strategy are used to explore the metamodels, in order to find global solutions for the constrained nonlinear optimization problem. The methodology has been tested and compared with classical optimization procedures based on sequential quadratic programming. Both have been applied to three mathematical examples, and to a case study of chemical process operation optimization. The proposed framework shows accurate solutions and significant reduction in the computational time.

    This paper presents a framework for nonlinear constrained optimization of complex systems, in which the objective function and the constraints are represented by black box functions. The proposed approach replaces the complex nonlinear model based on first principles with Kriging metamodels. Coupled to Kriging, the

  • Application of pricing policies for coordinated ganagement of supply chains

     Hjaila, Kefah; Zamarripa Pérez, Miguel Ángel; Abdelaleem Taha Ziez, Ahmed Shokry; Espuña Camarasa, Antonio
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2014-06-17
    Presentation of work at congresses

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    An optimization approach is proposed to coordinate multi-site multi-product SC networks taking into account the cooperation between suppliers and production/distribution SCs. For this purpose, all the interacting entities are integrated into the optimization model as full SCs, so any production/distribution echelon/SC can work as supplier for any other echelon/SC and so on. Financial issues based on price elasticity of demand, usually considered in these models just at the final SC echelon (end product), are incorporated in the proposed model at all interacting levels, so cost is subject to the trade-off between the price and the quantity demanded. Different approximations to model this demand elasticity have been tested, and the resulting NLP/MINLP models have been applied to a case study where the coordination of service (energy generation) SCs and production/distribution SCs is proposed. The results prove that pricing policies management add to PSE an additional instrument towards improving decision making.

  • Reactive scheduling for the coordination of energy supply and demand management in microgrids

     Silvente Saiz, Javier; Kopanos, Georgios M.; Pistikopoulos, Efstratios N.; Espuña Camarasa, Antonio
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2014-06-17
    Presentation of work at congresses

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    This work focuses on the development of scheduling strategies for the coordination of energy production and consumption tasks in microgrids through the management of flexible demand profiles. Delays in the nominal energy demands are allowed under associated penalty costs. The basic microgrid structure studied consists of renewable energy generators (photovoltaic panels, wind turbines) and energy storage units that alleviate the main drawback of such systems which is the mismatch between energy production and demand. A mathematical formulation is presented and used in a rolling horizon scheme that periodically updates input data information.

  • Integration of Methods for Optimization in a Knowledge Management Framework

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2014-06-17
    Presentation of work at congresses

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    The solution of process systems engineering problems involves their formal representation and application of algorithms and strategies related to several scientific disciplines, such as computer science or operations research. In this work, the domain of operations research is modelled within a semantic representation in order to systematize the application of the available methods and tools to the decision-making processes within organizations. As a result, an operation research ontology is created. Such ontology is embedded in a wider framework that contains two additional ontologies, namely, the enterprise ontology project and a mathematical representation, and additionally it communicates with optimization algorithms. The new ontology provides a means for automating the creation of mathematical models based on operations research principles.

  • Knowledge management framework for assessing environmental impact in the enterprise

     Capon Garcia, Elisabeth; Muñoz Mata, Edrisi; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis; Hungerbühler, K.
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2014-06-17
    Presentation of work at congresses

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    Since enterprises are highly involved systems, decision-making becomes a highly challenging task, and decision process is usually separated in several levels. Nevertheless, such levels are closely related, since they share data and information. Therefore, effective integration among the different hierarchical levels, by means of tools improving information sharing and communication, may play a crucial role for the enhanced enterprise operation, and consequently for fulfilling the enterprise¿s goals. Ontologies stand for an excellent choice for building complex models maintaining a high level of flexibility, re-usability, usability and easiness of maintenance. This work proposes the re-use of an ontological model for the integrated enterprises structure in order to include the environmental assessment function. The ontological framework facilitates integration among the different decision levels, and works as the mechanism for information and knowledge sharing for multiple applications. An example related to the waste-to-energy problem in the industry illustrates the opportunity for providing decision makers with new technologies to assess and evaluate the plant performance.

  • Integrated Batch Process Development based on Mixed-Logic Dynamic Optimization.

     Moreno Benito, Marta
    Defense's date: 2014-03-06
    Universitat Politècnica de Catalunya
    Theses

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    La industria de productes químics especials es basa en la fabricació discontinua, ja que permet adaptar de forma freqüent elssistemes de producció en funció de les fluctuacions de mercat. Per ser líder al sector, són necessàries eines de suport a ladecisió que ajudin a l¿àgil desenvolupament i implementació de nous processos. A més, aquests han de ser competitius pergarantir la seva viabilitat a llarg termini. Altres peces clau per una operació eficient són l¿ús de plantes flexibles així com l¿estudidels fenòmens fisicoquímics. Aquesta tesis aborda justament el desenvolupament sistemàtic de processos químics discontinusque siguin eficients, econòmicament competitius i ecològics, per contribuir a la seva ràpida introducció en els sistemes deproducció, tant en escenaris de plantes existents com des de les bases. En concret, es planteja la resolució simultània de lasíntesi conceptual d¿esquemes de procés i l¿assignació d¿equips, tenint en compte el disseny de la planta.Amb aquest objectiu, es proposa una metodologia de solució basada en optimització, on les alternatives estructurals esrepresenten en una Xarxa d¿Estats i Equips (SEN per les sigles en anglès) que es formula mitjançant un problema d¿OptimitzacióDinàmica Mixta-Lògica (MLDO per les sigles en anglès) que es resol minimitzant una funció objectiu. La solidesa de lametodologia proposada rau en la estratègia de modelat del problema MLDO, que integra els diferents tipus de decisions en unsol model d¿optimització. En concret, es consideren: (i) la combinació d¿alternatives de síntesi i assignació d¿equips, (ii) modelsde procés i trajectòries de control dinàmics, (iii) esdeveniments discrets associats al canvi de fase i operació, (iv) informacióquantitativa i qualitativa, (v) sincronització de transferències de material en tasques consecutives, i (vi) elements de processatdiscontinus i semi-continus.Existeixen diverses estratègies per resoldre el problema MLDO resultant. En aquesta tesi es proposa en primer lloc un mètodedeterminístic directe-simultani, on el model mixt-lògic es transforma en un mixt-enter. Aquest es discretitza al seu torn de formacompleta per obtenir un problema de Programació No-Lineal Mixta-Entera (MINLP per les sigles en anglès) el qual es potresoldre utilitzant algoritmes d¿optimització convencionals. A més, es presenten un Algoritme Genètic Diferencial (DGA per lessigles en anglès) i un mètode híbrid. Totes dues estratègies esdevenen alternatives de cerca amb l¿objectiu de mantenir labondat de la solució i millorar l¿eficàcia de computació per tractar problemes de dimensió industrial.La metodologia de solució proposada s¿aplica al desenvolupament de processos discontinus en escenaris de plantes existents,tenint en compte les restriccions físiques dels equips. Un primer exemple aborda la manufactura de productes químics basadaen un sistema de reaccions competitives. Concretament, es desenvolupa i millora el procés de producció implementat en unaxarxa de reactors considerant diferents escenaris econòmics, criteris de decisió, i modificacions de planta. En un segon exemple,s¿optimitza el procés foto-Fenton per ser executat en una planta pilot per eliminar contaminants emergents.Buscant integrar el desenvolupament de procés i el disseny de plantes flexibles en escenaris de base, es presenta unaformulació estocàstica en dues etapes per a optimitzar el benefici esperat d¿acord a diversos escenaris de demanda. Pergestionar la complexitat d¿aquest problema es proposa la utilització d¿una heurística. Com a exemple, es planteja el dissenyd¿una planta de base on implementar l¿anterior sistema de reaccions competitives. Decisions com les trajectòries dinàmiques decontrol o la configuració d¿equips permeten adaptar la recepta màster en funció de la demanda. Un darrer exemple defineix elprocés de producció de fibra acrílica, il¿lustrant decisions com la selecció de tasques, tecnologia, reactius o reutilització dedissolvents.

  • Decision making support based on a process engineering ontology for waste treatment plant optimization

     Muñoz, E.; Capon Garcia, Elisabeth; Hungerbühler, K.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    Chemical engineering transactions
    Date of publication: 2013
    Journal article

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    Nowadays, decision-making is highly challenging in the alignment of decisions to support the success of plant performance and business goals. In this sense, enterprises comprise several functions which interact with each other, such as production, marketing, sales, human resources, logistics, safety and environment. Therefore, it is important to provide systems capable of representing and considering the different elements involved in the enterprise decision making task. In this area, knowledge management technologies have proved to be highly promising for improving information sharing and communication, enhancing the enterprise operation. The industrial waste management stands for an end-of-pipe problem involving gas, liquid or solid effluents which contain contaminants originated from industrial activities. Waste streams must meet discharge constraints imposed by environmental regulations before being disposed of in the environment. Thus, waste treatment plants comprise several technologies, and treatment allocation decisions are usually taken based on company-specific selection criteria. Therefore, there is a large amount of data and information which has to be collected and organized, and the choice of the adequate option for an entire manufacturing site with hundreds of continuously changing effluents becomes an overwhelming task. The use of an ontological model for representing a waste treatment plant has been detected as an opportunity for providing decision makers with new technologies to assess and evaluate the plant performance using information quality. This work aims at improving the information management based on a semantic representation of a waste treatment plant, namely its operational and logistics functions. As a result, more accurate information is provided to the optimization tools which will lead to better solutions based on the plant constraints.

    Nowadays, decision-making is highly challenging in the alignment of decisions to support the success of plant performance and business goals. In this sense, enterprises comprise several functions which interact with each other, such as production, marketing, sales, human resources, logistics, safety and environment. Therefore, it is important to provide systems capable of representing and considering the different elements involved in the enterprise decision making task. In this area, knowledge management technologies have proved to be highly promising for improving information sharing and communication, enhancing the enterprise operation. The industrial waste management stands for an end-of-pipe problem involving gas, liquid or solid effluents which contain contaminants originated from industrial activities. Waste streams must meet discharge constraints imposed by environmental regulations before being disposed of in the environment. Thus, waste treatment plants comprise several technologies, and treatment allocation decisions are usually taken based on company-specific selection criteria. Therefore, there is a large amount of data and information which has to be collected and organized, and the choice of the adequate option for an entire manufacturing site with hundreds of continuously changing effluents becomes an overwhelming task. The use of an ontological model for representing a waste treatment plant has been detected as an opportunity for providing decision makers with new technologies to assess and evaluate the plant performance using information quality. This work aims at improving the information management based on a semantic representation of a waste treatment plant, namely its operational and logistics functions. As a result, more accurate information is provided to the optimization tools which will lead to better solutions based on the plant constraints.

  • Integrating process dynamics within batch process scheduling via mixed-integer dynamic optimization

     Capon Garcia, Elisabeth; Guillen Gosalbez, Gonzalo; Espuña Camarasa, Antonio
    Chemical engineering science
    Date of publication: 2013-10
    Journal article

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    During batch process scheduling, products' batch size, processing conditions as well as operating times are usually established offline and considered out of the scope of the decision making stage. In practice, process dynamics may vary from the ones forecasted, in such a manner that the predicted optimal conditions will not be the best in practice. As a result of this mismatch, the plant usually operates under sub-optimal conditions, but if the process is flexible, its processing conditions can still be adapted to the actual plant needs in order to improve the overall performance. Given this situation, there is a strong motivation for developing models and optimization tools to fully integrate process dynamics into batch scheduling. In this work, the potential of directly including control variables with time varying values and variable batch sizes in the scheduling of batch plants is explored. The optimization of process dynamics, which is time varying, along with scheduling tasks is accomplished using rigorous mixed-integer dynamic optimization techniques. Through several examples, we show that integrating both decision-making levels can lead to significant economic savings.

  • Considering environmental assessment in an ontological framework for enterprise sustainability

     Muñoz, E.; Capon Garcia, Elisabeth; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    Journal of cleaner production
    Date of publication: 2013-05
    Journal article

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    Enterprises comprise several functions, such as production, marketing, sales, human resources, logistics, safety and environment, which interact with each other. As a result, decision-making becomes highly challenging in the alignment of decisions to support the success of business goals. Specifically, environmental management is closely related to several levels in the enterprise structure, since they share a large amount of data and information. Hence, effective integration of environmental issues by means of tools improving information sharing and communication, may play a crucial role for the enhanced enterprise operation from an environmental perspective. In this sense, knowledge management technologies have proved to be highly promising for supporting this integration task. In this work, an ontological framework is developed as the technology for information and knowledge models sharing for the environmental assessment of the enterprise. The ontological model is applied to a case study considering a supply chain network design-planning and a process scheduling problem. The ontology provides an enterprise decision-making supporting tool by combining different information systems, which adapts and recognizes the different elements associated with the enterprise functions, and facilitates assessing the environmental performance of enterprises

    Enterprises comprise several functions, such as production, marketing, sales, human resources, logistics, safety and environment, which interact with each other. As a result, decision-making becomes highly challenging in the alignment of decisions to support the success of business goals. Specifically, environmental management is closely related to several levels in the enterprise structure, since they share a large amount of data and information. Hence, effective integration of environmental issues by means of tools improving information sharing and communication, may play a crucial role for the enhanced enterprise operation from an environmental perspective. In this sense, knowledge management technologies have proved to be highly promising for supporting this integration task. In this work, an ontological framework is developed as the technology for information and knowledge models sharing for the environmental assessment of the enterprise. The ontological model is applied to a case study considering a supply chain network design-planning and a process scheduling problem. The ontology provides an enterprise decision-making supporting tool by combining different information systems, which adapts and recognizes the different elements associated with the enterprise functions, and facilitates assessing the environmental performance of enterprises.

  • Decision making support based on a process engineering ontology for waste treatment plant optimization

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Hungerbühler, K.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    AIDIC Conference Series
    Date of publication: 2013
    Journal article

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    Use of ontological structures for integrated supply chain management  Open access

     Silvente Saiz, Javier; Crexells Domingo, Guillem; Zamarripa Pérez, Miguel Ángel; Muñoz Mata, Edrisi; Espuña Camarasa, Antonio
    Chemical Engineering Transactions
    Date of publication: 2013
    Journal article

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    The integration of the different hierarchical decision making levels involved within a Chemical Supply Chain is essential for its adequate management in dynamic and competitive markets. Any approach encompassing design issues, planning, coordination and responses to customer demands, requires the consideration of huge amounts of data, which are a valuable source of information only if properly managed. But these data could also cause a lack of coordination if not stored and interpreted appropriately, so standardizing information structures and tools to improve the availability and communication of data information between different hierarchical decision levels is essential. Thus, this work addresses the problem of making the best use of the information systems associated to a Supply Chain, in order to improve the knowledge and the information comprehension capabilities in the area of Process Systems Engineering.

    The integration of the different hierarchical decision making levels involved within a Chemical Supply Chain is essential for its adequate management in dynamic and competitive markets. Any approach encompassing design issues, planning, coordination and responses to customer demands, requires the consideration of huge amounts of data, which are a valuable source of information only if properly managed. But these data could also cause a lack of coordination if not stored and interpreted appropriately, so standardizing information structures and tools to improve the availability and communication of data information between different hierarchical decision levels is essential. Thus, this work addresses the problem of making the best use of the information systems associated to a Supply Chain, in order to improve the knowledge and the information comprehension capabilities in the area of Process Systems Engineering.

  • Hybrid time representation for the scheduling of energy supply and demand in smart grids

     Silvente Saiz, Javier; Aguirre, Adrián; Crexells Domingo, Guillem; Zamarripa Pérez, Miguel Ángel; Méndez, Carlos A.; Graells Sobre, Moises; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2013
    Journal article

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    A new optimization model is presented for the short-term management of the energy supply and demand in smart grids. The detailed model includes a flexible demand profile in order to manage the energy requirements by incorporating penalizations in the economic objective function for delays in satisfying energy demand. The MILP model for the optimization of deterministic scenarios is reformulated in order to incorporate discrete and hybrid time representations. This approach allows considering a different granularity of the problem. Finally, the improved performance of the hybrid approach introduced is shown by comparing the performance of these two time representations.

  • Optimal recipe design for paracetamol degradation by advanced oxidation processes (AOPs) in a pilot plant

     Moreno Benito, Marta; Yamal Turbay, Evelyn; Espuña Camarasa, Antonio; Pérez Moya, Montserrat; Graells Sobre, Moises
    Computer aided chemical engineering
    Date of publication: 2013
    Journal article

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    This work addresses the optimization of the batch process recipe of an Advanced Oxidation Process (AOP) aimed at reducing paracetamol (PCT) and Total Organic Carbon (TOC) concentrations from a given effluent. The kinetic model by Cabrera Reina et al. (2012) is adapted to model the treatment, the problem is next formulated as a dynamic optimization problem and dosage of hydrogen peroxide is addressed by means of a piecewise constant strategy, which is compared with other dosage protocols. Results show that cost reductions can be obtained when applying the model-based optimization techniques proposed, and hint new opportunites for AOPs enhancement

  • Simplified model for integrated supply chains planning

     Zamarripa Pérez, Miguel Ángel; Hjaila, Kefah; Silvente Saiz, Javier; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2013
    Journal article

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    The scope of any Supply Chain management strategy usually takes into account the few single echelons directly linked to the process of interest (raw materials acquisition, market distribution,¿) which are assumed to present a previously known behaviour (even this behaviour may include some uncertainty). Decisions based on this limited picture disregard the important information associated to the interaction among different cooperative SCs. This work aims to optimize the overall performance of several SC's in a cooperative scenario acting as an ¿entire SC¿. Accordingly, the main features of this entire SC (raw materials SC, production-distribution SC, products and wastes) have been considered. The approach is demonstrated using a case study which integrates an energy poligeneration SC model (RM acquisition, and different production systems in a competitive situation) and the traditional production-distribution SC model¿

  • Mathematical knowledge management for enterprise decision making

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    Computer aided chemical engineering
    Date of publication: 2013
    Journal article

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    The basis of decision-making in the enterprise consists of formally representing the system and its subsystems in a model which adequately captures those features which are necessary to reach consistent decisions. This works aims at integrating the elements of the enterprise (i.e., decisions, parameters, constraints, performance indicators) which are included in mathematical models to a semantic representation of the enterprise by the creation of an ontology which captures the meaning of the mathematical language. As a result, the integration of decisions in enterprise may be achieved. The purpose of this work is illustrated in a case study related to plant capacity in the supply chain and scheduling problems.

  • Mathematical programming and game theory optimization-based tool for supply chain planning in cooperative/competitive environments

     Zamarripa Pérez, Miguel Ángel; Aguirre, Adrián; Méndez, Carlos A.; Espuña Camarasa, Antonio
    Chemical engineering research and design
    Date of publication: 2013-08
    Journal article

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    This work proposes to improve the tactical decision-making of a supply chain (SC) under an uncertain competition scenario through the use of different optimization criteria, which allows to manage not only the specific objectives of the SC of interest, but also the way how its clients address their selection between different potential suppliers, identifying best market share for the SC of interest and the strategy to attain it. The resulting multi-objective optimization problem has been solved using the e{open}-constraint method in order to approximate the Pareto space of non-dominated solutions while a framework based on game theory is used as a reactive decision making support tool to deal with the uncertainty of the competitive scenario. The use of the proposed system is illustrated through its application to a multi-product, multi-echelon supply chain case study, which is intended to cooperate or to compete with another SC of similar characteristics.

    This work proposes to improve the tactical decision-making of a supply chain (SC) under an uncertain competition scenario through the use of different optimization criteria, which allows to manage not only the specific objectives of the SC of interest, but also the way how its clients address their selection between different potential suppliers, identifying best market share for the SC of interest and the strategy to attain it. The resulting multi-objective optimization problem has been solved using the ɛ-constraint method in order to approximate the Pareto space of non-dominated solutions while a framework based on game theory is used as a reactive decision making support tool to deal with the uncertainty of the competitive scenario. The use of the proposed system is illustrated through its application to a multi-product, multi-echelon supply chain case study, which is intended to cooperate or to compete with another SC of similar characteristics.

  • Considering environmental assessment in an ontological framework for enterprise sustanability

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    Renewable energy global innovations
    Date of publication: 2013-04-17
    Journal article

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    Knowledge-based approach for the integration of the planning and scheduling decision-making levels  Open access

     Zamarripa Pérez, Miguel Ángel; Coccola, Mariana; Hjaila, Kefah; Silvente Saiz, Javier; Méndez, Carlos A.; Espuña Camarasa, Antonio
    Chemical engineering transactions
    Date of publication: 2013-06
    Journal article

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    This work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios. The results have been analyzed and accordingly the operation cost vs. production levels nonlinear equations have been obtained. The aforementioned equations have been included as constraints of the SC planning problem. Hence, production, inventory and distribution variables along the complete SC have been optimized using a NLP model.

    This work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios. The results have been analyzed and accordingly the operation cost vs. production levels nonlinear equations have been obtained. The aforementioned equations have been included as constraints of the SC planning problem. Hence, production, inventory and distribution variables along the complete SC have been optimized using a NLP model.

  • Integration of enterprise levels based on an ontological framework

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Lainez, Jose M.; Espuña Camarasa, Antonio; Puigjaner Corbella, Luis
    Chemical engineering research and design
    Date of publication: 2013-08
    Journal article

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    Enterprises are highly complex systems in which one or more organizations share a definite mission, goals and objectives to offer a product or service. In this study, an ontological framework is built as a mechanism for exchanging information and knowledge models for multiple applications and effective integration between hierarchical levels. The potential of the general semantic framework that is developed is demonstrated using a case study concerning the enterprise supply chain network design-planning problem.

    Enterprises are highly complex systems in which one or more organizations share a definite mission, goals and objectives to offer a product or service. In this study, an ontological framework is built as a mechanism for exchanging information and knowledge models for multiple applications and effective integration between hierarchical levels. The potential of the general semantic framework that is developed is demonstrated using a case study concerning the enterprise supply chain network design-planning problem

  • Toward integrated production and distribution management in multi-echelon supply chains

     Cóccola, M.E.; Zamarripa Pérez, Miguel Ángel; Méndez, C.; Espuña Camarasa, Antonio
    Computers & chemical engineering
    Date of publication: 2013-09-11
    Journal article

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    The effective management of multi-site systems involves the proper coordination of activities performed in multiple factories, distribution centers (DCs), retailers and end-users located in many different cities, countries and/or continents. To optimally manage numerous production and transportation decisions, a novel monolithic continuous-time MILP-based framework is developed to determine the best short-term operational planning to meet all customer requests at minimum total cost. The formulation lies on the unit-specific general precedence concept for the production scheduling problem whereas the immediate precedence notion is used for transportation decisions. To illustrate the applicability and potential benefits of the model, a challenging example corresponding to a supply chain comprising several locations geographically spread in six European countries has been solved to optimality with modest CPU times. Several scenarios with different logistics features were addressed in order to remark the significant advantages of using the integrated approach.

  • Decision making support based on a process engineering ontology for waste treatment plant optimizationy

     Muñoz Mata, Edrisi; Capon Garcia, Elisabeth; Hungerbühler, K.; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    International Conference on Chemical and Process Engineering
    Presentation's date: 2013-06-04
    Presentation of work at congresses

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  • Docencia en inglés en la formación de grado: Valoración de las clases impartidas por profesores visitantes

     Graells Sobre, Moises; Espuña Camarasa, Antonio; Pérez Moya, Montserrat
    Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas (CUIEET)
    Presentation's date: 2013-07-12
    Presentation of work at congresses

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    La incorporación de la lengua inglesa en la formación superior es algo que en el siglo XXI no admite discusión. Sin embargo, no parece que exista un único modelo para llevarlo a cabo, tanto en el fondo como en la forma. Este trabajo discute algunos modelos, ventajas e inconvenientes, y analiza y valora la experiencia de incluir en la formación clases en inglés impartidas por profesores visitantes, cuya principal ventaja estriba en el hecho de que la comunicación en inglés se convierte en una necesidad real para acceder a los conocimientos que viene a aportar a la clase un especialista de otro país. El programa Erasmus, además, es un medio poco explotado que facilita el intercambio de profesorado y fomenta el aprendizaje en inglés.

  • Use of ontological structures for integrated supply chain management

     Silvente Saiz, Javier; Zamarripa Pérez, Miguel Ángel; Crexells Domingo, Guillem; Muñoz Mata, Edrisi; Espuña Camarasa, Antonio
    International Conference on Chemical and Process Engineering
    Presentation's date: 2013-06-03
    Presentation of work at congresses

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    The integration of the different hierarchical decision making levels involved within a Chemical Supply Chain is essential for its adequate management in dynamic and competitive markets. Any approach encompassing design issues, planning, coordination and responses to customer demands, requires the consideration of huge amounts of data, which are a valuable source of information only if properly managed. But these data could also cause a lack of coordination if not stored and interpreted appropriately, so standardizing information structures and tools to improve the availability and communication of data information between different hierarchical decision levels is essential. Thus, this work addresses the problem of making the best use of the information systems associated to a Supply Chain, in order to improve the knowledge and the information comprehension capabilities in the area of Process Systems Engineering.

  • Knowledge-based approach for the integration of the planning and scheduling decision making levels

     Zamarripa Pérez, Miguel Ángel; Coccola, Mariana; Hjaila, Kefah; Silvente Saiz, Javier; Mendez, Carlos Alberto; Espuña Camarasa, Antonio
    International Conference on Chemical and Process Engineering
    Presentation's date: 2013-06-03
    Presentation of work at congresses

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    This work aims to integrate the tactical and operational decision making levels. A typical Scheduling mixed integer linear programming (MILP) model has been solved using several demand scenarios. The results have been analyzed and accordingly the operation cost vs. production levels nonlinear equations have been obtained. The aforementioned equations have been included as constraints of the SC planning problem. Hence, production, inventory and distribution variables along the complete SC have been optimized using a NLP model.

  • Hybrid time representation for the scheduling of energy supply and demand in smart grids

     Silvente Saiz, Javier; Aguirre, Adrián; Crexells Domingo, Guillem; Zamarripa Pérez, Miguel Ángel; Méndez, Carlos A.; Graells Sobre, Moises; Espuña Camarasa, Antonio
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2013-06-11
    Presentation of work at congresses

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    A new optimization model is presented for the short-term management of the energy supply and demand in smart grids. The detailed model includes a flexible demand profile in order to manage the energy requirements by incorporating penalizations in the economic objective function for delays in satisfying energy demand. The MILP model for the optimization of deterministic scenarios is reformulated in order to incorporate discrete and hybrid time representations. This approach allows considering a different granularity of the problem. Finally, the improved performance of the hybrid approach introduced is shown by comparing the performance of these two time representations.

  • Simplified model for integrated Supply Chains Planning

     Zamarripa Pérez, Miguel Ángel; Hjaila, Kefah; Silvente Saiz, Javier; Espuña Camarasa, Antonio
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2013-06-12
    Presentation of work at congresses

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    The scope of any Supply Chain management strategy usually takes into account the few single echelons directly linked to the process of interest (raw materials acquisition, market distribution,¿) which are assumed to present a previously known behaviour (even this behaviour may include some uncertainty). Decisions based on this limited picture disregard the important information associated to the interaction among different cooperative SCs. This work aims to optimize the overall performance of several SC's in a cooperative scenario acting as an ¿entire SC¿. Accordingly, the main features of this entire SC (raw materials SC, production-distribution SC, products and wastes) have been considered. The approach is demonstrated using a case study which integrates an energy poligeneration SC model (RM acquisition, and different production systems in a competitive situation) and the traditional production-distribution SC model¿

  • Optimal recipe design for paracetamol degradation by advanced oxidation processes (AOPs) in a pilot plant

     Moreno Benito, Marta; Yamal Turbay, Evelyn; Espuña Camarasa, Antonio; Pérez Moya, Montserrat; Graells Sobre, Moises
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2013-06-11
    Presentation of work at congresses

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    This work addresses the optimization of the batch process recipe of an Advanced Oxidation Process (AOP) aimed at reducing paracetamol (PCT) and Total Organic Carbon (TOC) concentrations from a given effluent. The kinetic model by Cabrera Reina et al. (2012) is adapted to model the treatment, the problem is next formulated as a dynamic optimization problem and dosage of hydrogen peroxide is addressed by means of a piecewise constant strategy, which is compared with other dosage protocols. Results show that cost reductions can be obtained when applying the model-based optimization techniques proposed, and hint new opportunites for AOPs enhancement.

  • Mathematical knowledge management for enterprise decision making

     Muñoz Mata, Edrisi; Capon Garcia, Elisabet; Lainez Aguirre, Jose Miguel; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2013-06-12
    Presentation of work at congresses

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    The basis of decision-making in the enterprise consists of formally representing the system and its subsystems in a model which adequately captures those features which are necessary to reach consistent decisions. This works aims at integrating the elements of the enterprise (i.e., decisions, parameters, constraints, performance indicators) which are included in mathematical models to a semantic representation of the enterprise by the creation of an ontology which captures the meaning of the mathematical language. As a result, the integration of decisions in enterprise may be achieved. The purpose of this work is illustrated in a case study related to plant capacity in the supply chain and scheduling problems.

  • Integrated management of chemical processes in a competitive environment  Open access

     Zamarripa Pérez, Miguel Ángel
    Defense's date: 2013-07-01
    Department of Chemical Engineering, Universitat Politècnica de Catalunya
    Theses

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    El objetivo general de esta Tesis es mejorar el proceso de la toma de decisiones para la gestión de cadenas de suministro, tomando en cuenta principalmente dos diferencias: ser competitivo considerando las decisiones propias de la cadena de suministro, y ser competitivo dentro de un entorno global. La estructura de ésta tesis se divide en 4 partes principales:La Parte I consiste en una introducción general de los temas cubiertos en esta Tesis (Capítulo 1). Una revisión de la literatura, que nos permite identificar las problemáticas asociadas al proceso de toma de decisiones (Capítulo 2). El Capítulo 3 presenta una introducción de las técnicas y métodos de optimización utilizados para resolver los problemas propuestos durante este trabajo de investigación.La Parte II se enfoca en la integración de los niveles de decisión, buscando mejorar la toma de decisiones de la propia cadena de suministro. El Capítulo 4 presenta una formulación matemática que integra las decisiones de síntesis de procesos y las decisiones operacionales. Además, este capítulo presenta un modelo integrado para la toma de decisiones operacionales incluyendo las características del control de procesos. El Capítulo 5 muestra la integración de las decisiones del nivel táctico y el operacional, dicha propuesta está basada en el conocimiento adquirido, capturando la información obtenida al resolver el problema operacional para atender multiples niveles de demanda. Una vez obtenida esta información se incluye en el modelo de toma de decisiones a nivel táctico. Finalmente en el capítulo 6 se desarrolla un modelo simplificado para coordinar múltiples cadenas de suministro. El modelo propuesto incluye la información detallada de cada participante en una cadena de suministro (suministradores, plantas de produccion, residuos, centros de distribución y mercados) introduciéndolos en un modelo matemático para su coordinación.La Parte III propone la integración explicita de múltiples cadenas de suministro que tienen que enfrentar numerosas situaciones propias de un mercado global. Asimismo, esta parte presenta una nueva herramienta de optimización basada en el uso integrado de métodos de programación matemática y conceptos relacionados a la Teoría de Juegos. En el Capítulo 7 se hace un análisis considerando múltiples cadenas de suministro que cooperan o compiten por la demanda global del mercado. El Capítulo 8 incluye una comparación entre el problema resuelto en el Capítulo anterior y un modelo estocástico, los resultados obtenidos nos permiten situar el comportamiento de los competidores como fuente exógena de la incertidumbre típicamente asociada la demanda del mercado. Además, los resultados de ambos Capítulos muestran una mejora sustancial en el coste total de las cadenas de suministro asociada al hecho de cooperar para atender de forma conjunta la demanda disponible. Es por esto, que el Capítulo 9 presenta una nueva herramienta de negociación, basada en la resolución del mismo problema (Capítulo 7) bajo un análisis multiobjetivo. Finalmente, la parte IV muestra las conclusiones finales y una descripción general del trabajo futuro.

    El objetivo general de esta Tesis es mejorar el proceso de la toma de decisiones en la gestión de cadenas de suministro, tomando en cuenta principalmente dos diferencias: ser competitivo considerando las decisiones propias de la cadena de suministro, y ser competitivo dentro de un entorno global. La estructura de ésta tesis se divide en 4 partes principales: La Parte I consiste en una introducción general de los temas cubiertos en esta Tesis (Capítulo 1). Una revisión de la literatura, que nos permite identificar las problemáticas asociadas al proceso de toma de decisiones (Capítulo 2). El Capítulo 3 presenta una introducción de las técnicas y métodos de optimización utilizados para resolver los problemas propuestos en esta Tesis. La Parte II se enfoca en la integración de los niveles de decisión, buscando mejorar la toma de decisiones de la propia cadena de suministro. El Capítulo 4 presenta una formulación matemática que integra las decisiones de síntesis de procesos y las decisiones operacionales. Además, este capítulo presenta un modelo integrado para la toma de decisiones operacionales incluyendo las características del control de procesos. El Capítulo 5 muestra la integración de las decisiones del nivel táctico y el operacional, dicha propuesta está basada en el conocimiento adquirido capturando la información relacionada al nivel operacional. Una vez obtenida esta información se incluye en la toma de decisiones a nivel táctico. Finalmente en el capítulo 6 se desarrolla un modelo simplificado para integrar múltiples cadenas de suministro. El modelo propuesto incluye la información detallada de las entidades presentes en una cadena de suministro (suministradores, plantas de producción, distribuidores y mercados) introduciéndola en un modelo matemático para su coordinación. La Parte III propone la integración explicita de múltiples cadenas de suministro que tienen que enfrentar numerosas situaciones propias de un mercado global. Asimismo, esta parte presenta una nueva herramienta de optimización basada en el uso integrado de métodos de programación matemática y conceptos relacionados a la Teoría de Juegos. En el Capítulo 7 analiza múltiples cadenas de suministro que cooperan o compiten por la demanda global del mercado. El Capítulo 8 incluye una comparación entre el problema resuelto en el Capítulo anterior y un modelo estocástico, los resultados obtenidos nos permiten situar el comportamiento de los competidores como fuente exógena de la incertidumbre típicamente asociada la demanda del mercado. Además, los resultados de ambos Capítulos muestran una mejora sustancial en el coste total de las cadenas de suministro asociada al hecho de cooperar para atender de forma conjunta la demanda disponible. Es por esto, que el Capítulo 9 presenta una nueva herramienta de negociación, basada en la resolución del mismo problema (Capítulo 7) bajo un análisis multiobjetivo. Finalmente, la parte IV presenta las conclusiones finales y una descripción general del trabajo futuro.

    This Thesis aims to enhance the decision making process in the SCM, remarking the difference between optimizing the SC to be competitive by its own, and to be competitive in a global market in cooperative and competitive environments. The structure of this work has been divided in four main parts: Part I: consists in a general introduction of the main topics covered in this manuscript (Chapter I); a review of the State of the Art that allows us to identify new open issues in the PSE (Chapter 2). Finally, Chapter 3 introduces the main optimization techniques and methods used in this contribution. Part II focuses on the integration of decision making levels in order to improve the decision making of a single SC: Chapter 4 presents a novel formulation to integrate synthesis and scheduling decision making models, additionally, this chapter also shows an integrated operational and control decision making model for distributed generations systems (EGS). Chapter 5 shows the integration of tactical and operational decision making levels. In this chapter a knowledge based approach has been developed capturing the information related to the operational decision making level. Then, this information has been included in the tactical decision making model. In Chapter 6 a simplified approach for integrated SCs is developed, the detailed information of the typical production‐distribution SC echelons has been introduced in a coordinated SC model. Part III proposes the explicit integration of several SC’s decision making in order to face several real market situations. As well, a novel formulation is developed using an MILP model and Game Theory (GT) as a decision making tool. Chapter 7 includes the tactical and operational analysis of several SC’s cooperating or competing for the global market demand. Moreover, Chapter 8 includes a comparison, based on the previous results (MILP‐GT optimization tool) and a two stage stochastic optimization model. Results from both Chapters show how cooperating for the global demand represent an improvement of the overall total cost. Consequently, Chapter 9 presents a bargaining tool obtained by the Multiobjective (MO) resolution of the model presented in Chapter 7. Finally, final conclusions and further work have been provided in Part IV.

  • Stochastic and hybrid approaches to solve integrated synthesis and operation of batch processes

     Moreno Benito, Marta; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2012
    Journal article

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    This work aims at exploring two solution strategies to tackle the problem of simultaneous batch process synthesis and operational design, represented as a mixed-integer dynamic optimization (MIDO). A stochastic and a hybrid approach are presented, which are meant to keep the optimum solution performance while seeking for faster solutions and the capability of solving industrial sized problems. Specifically, a genetic algorithm (GA) and its combination with deterministic NLP solvers (GA-NLP) are developed and tested. The core idea in both alternatives is to combine in the GA chromosome a myriad of variables corresponding to the different kinds of decisions characterizing the problem solution, in order to reduce the combinatorial explosion to be managed by the standard NLP/MINLP solver. The decisions included are dynamic control profiles, time-invariant controls, and integers. Comparative results of the two strategies with respect to the purely deterministic solution are presented.

  • Improving supply chain planning in a competitive environment

     Zamarripa Pérez, Miguel Ángel; Aguirre, A.M.; Méndez, Carlos A.; Espuña Camarasa, Antonio
    Computers & chemical engineering
    Date of publication: 2012-07-11
    Journal article

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  • Operational, Tactical and Strategical Integration for Enterprise Decision-Making

     Muñoz Mata, Edrisi; Capon Garcia, Elisabet; Lainez Aguirre, Jose Miguel; Moreno Benito, Marta; Espuña Camarasa, Antonio; Puigjaner Corbella, Luis
    Computer aided chemical engineering
    Date of publication: 2012
    Journal article

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    Enterprises are highly complex systems in which one or more organizations share a definite mission, goals and objectives to offer a product or service. As a result, decision-making in the enterprise becomes a highly challenging task, which is usually classified in several levels. In this work, an ontological framework is built as a mechanism for exchanging information and knowledge models for multiple applications and effective integration between the different hierarchical levels. The potential of the general semantic framework developed (model maintenance, usability and re-usability) is demonstrated using a case study concerning the enterprise supply chain network design-planning problem.

  • Integration of Mathematical Programming and Game Theory for Supply Chain Planning Optimization in Multi-objective competitive scenarios

     Zamarripa Pérez, Miguel Ángel; Aguirre, A.M.; Méndez, C.; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2012-06
    Journal article

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    This work develops a multi-objective MILP (Mixed Integer Linear Programming) model, devised to optimize the planning of supply chains using Game Theory optimization for decision making in cooperative and/or competitive scenarios. Three different optimization criteria are considered (total cost, tardiness and expenses of the buyers for the competitive problem). The multi objective problem has been solved using the Pareto frontier solutions, and both cooperative and non cooperative scenarios between supply chains are considered, so multiple optimization tools/techniques have been combined to analyze the different trade-offs associated to the resulting decision making: Game Theory, MILP based approach and Pareto frontiers. The resulting model is tested in a case study, based on the operation of two different supply chains in both competitive and cooperative situations.

  • Use of a distributed simulation environment for training in Supply Chain decision making

     Silvente Saiz, Javier; Zamarripa Pérez, Miguel Ángel; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2012
    Journal article

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  • Supply chain planning under uncertainty using genetic algorithms

     Zamarripa Pérez, Miguel Ángel; Silvente Saiz, Javier; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2012
    Journal article

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  • Aplicación de sistemas de gestión ambiental en la elaboración de proyectos de obras públicas

     Espuña Camarasa, Antonio; Díaz Cano, Sonia
    Carreteras (Madrid. 1982)
    Date of publication: 2012-05
    Journal article

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  • Multiobjective Evolutionary Optimization of Batch Process Scheduling Under Environmental and Economic Concerns

     Capon Garcia, Elisabeth; Bojarski, Aaron David; Espuña Camarasa, Antonio; Puigjaner Corbella, Lluis
    AICHE journal
    Date of publication: 2012-06-01
    Journal article

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    The simultaneous consideration of economic and environmental objectives in batch production scheduling is today a subject of major concern. However, it constitutes a complex problem whose solution necessarily entails production trade-offs. Unfortunately, a rigorous multiobjective optimization approach to solve this kind of problem often implies high computational effort and time, which seriously undermine its applicability to day-to-day operation in industrial practice. Hence, this work presents a hybrid optimization strategy based on rigorous local search and genetic algorithm to efficiently deal with industrial scale batch scheduling problems

    The simultaneous consideration of economic and environmental objectives in batch production scheduling is today a subject of major concern. However, it constitutes a complex problem whose solution necessarily entails production trade-offs. Unfortunately, a rigorous multiobjective optimization approach to solve this kind of problem often implies high computational effort and time, which seriously undermine its applicability to day-to-day operation in industrial practice. Hence, this work presents a hybrid optimization strategy based on rigorous local search and genetic algorithm to efficiently deal with industrial scale batch scheduling problems. Thus, a deeper insight into the combined environmental and economic issues when considering the trade-offs of adopting a particular schedule is provided. The proposed methodology is applied to a case study concerning a multiproduct acrylic fiber production plant, where product changeovers influence the problem results. The proposed strategy stands for a marked improvement in effectively incorporating multiobjective optimization in short-term plant operation.

  • Ontological framework for enterprise-wide integrated decision-making at operational level

     Muñoz, Edrisi; Capon Garcia, Elisabet; Espuña Camarasa, Antonio; Puigjaner Corbella, Luis
    Computers & chemical engineering
    Date of publication: 2012-07-11
    Journal article

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    In the domain of chemical process engineering, there is an increased interest in the integration of the enterprise hierarchical levels for decision-making purposes. At the scheduling level, decisions on the allocation of tasks to resources, sequencing and timing of tasks must be managed. However, such decisions are directly related to other enterprise actions, such as control and planning, but they are difficult to coordinate because they are modeled at different time and space scales, and their goals are not the same. In order to achieve integrated decisions supported by high quality information, there is a need to improve and develop robust computational tools and consistent models. In general, scheduling optimization approaches for decision-making differ depending on problem features, such as physical layout or time representation. Therefore, this work focuses on providing a framework based on a semantic model that captures the diversity in scheduling problem representation. Such semantic model uses the master recipe concept from the ANSI/ISA-88 standard perspective and encapsulates the scheduling decision task features. As a result, by the use of a single representation approach, any scheduling problem can be modeled and solved by its adequate optimization tool. The potential of a general model representation is presented by means of several case studies related to the scheduling function. Such case studies shed light to the model capabilities to represent different kinds and particular scheduling problems, achieving integration at the different decision support levels.

  • Towards Integrated Production and Distribution Management

     Cóccola, M.E.; Méndez, Carlos A.; Zamarripa Pérez, Miguel Ángel; Espuña Camarasa, Antonio
    Computer aided chemical engineering
    Date of publication: 2012
    Journal article

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  • Environmental management systems' application to public civil engineering projects

     Espuña Camarasa, Antonio; Díaz Cano, Sonia
    Carreteras (Madrid)
    Date of publication: 2012
    Journal article

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  • A promising OPC-based computer system applied to fault diagnosis

     Silvente Saiz, Javier; Monroy Chora, Isaac; Escudero Bakx, Gerard; Espuña Camarasa, Antonio; Graells Sobre, Moises
    Computer aided chemical engineering
    Date of publication: 2012
    Journal article

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    Fault detection and diagnosis is a challenging problem for plant economics and safety. In this context, a promising OPC-based modular architecture for a Fault Diagnosis System (FDS) is designed and implemented. This FDS has been validated by performing on-line real-time diagnosis on a simulated process. The modular architecture allows openly connecting a simulator or a real process via OPC. The Tennessee Eastman Process (TEP) is used as data generator and case study, so that several abnormal operation conditions can be diagnosed by the system. The proposed architecture is discussed regarding the integration of future modules for the timely adoption of appropriate corrective actions.

  • An optimization model for the management of energy supply and demand in smart grids

     Silvente Saiz, Javier; Graells Sobre, Moises; Espuña Camarasa, Antonio; Salas, Pep
    Date of publication: 2012
    Book chapter

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  • Supply chain scheduling in a competitive environment

     Zamarripa Pérez, Miguel Ángel; Espuña Camarasa, Antonio
    European Conference on Operational Research
    Presentation's date: 2012-07-10
    Presentation of work at congresses

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  • Sustainable design of a reactive distillation system

     Zondervan, Edwin; Bojarski, Aaron David; Espuña Camarasa, Antonio; de Haan, Andre B.; Puigjaner Corbella, Luis
    European Symposium on Computer Aided Process Engineering
    Presentation's date: 2012-06-19
    Presentation of work at congresses

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