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Robust Car Sequencing Problem: Description, models and metrics

Author
Bautista, J.
Type of activity
Journal article
Journal
Dirección y organización. Revista de ingeniería de organización
Date of publication
2019-07-01
Volume
68
Number
Julio 2019
First page
105
Last page
116
Project funding
Human factor and uncertainty on the sequencing and balancing mixed model lines
Production optimization in hybrid workshops linked by units in sequence
Repository
http://hdl.handle.net/2117/168256 Open in new window
URL
https://www.revistadyo.es/index.php/dyo/article/view/555 Open in new window
Abstract
The concept of partial demand uncertainty is introduced from the car sequencing problem (CSP) and incorporates special vehicle fleets in a demand plan. After establishing the working hypotheses with fleets, a mixed integer linear programming model, robust car sequencing problem (r-CSP), is proposed to satisfy the maximum number of CSP restrictions. Subsequently, multi-sequence production and metrics to evaluate its robustness are defined. The r-CSP considers various demand scenarios and function...
Citation
Bautista, J. Robust Car Sequencing Problem: Description, models and metrics. "Dirección y organización. Revista de ingeniería de organización", 1 Juliol 2019, vol. 68, núm. Julio 2019, p. 105-116.
Keywords
Assembly lines, Car Sequencing Problem, Demand uncertainty, Production Mix, Robust Optimization, Sequencing, Vehicle Fleets
Group of research
OPE-PROTHIUS - Production and Business Management

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