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A multistage stochastic programming model for the strategic supply chain design

Author
Ramon, D.; Heredia, F.-Javier; Gimeno, R.; Buil, R.; Consola, J.
Type of activity
Presentation of work at congresses
Name of edition
ISMP2018 - 23th International Symposium on Mathematical Programming
Date of publication
2018
Presentation's date
2018-07-05
Book of congress proceedings
ISMP2018 - 23th International Symposium on Mathematical Programming
First page
338
Last page
339
Project funding
STRATEGIC ANALYTICAL MODELS SUPPLY CHAIN DESIGN THROUGH MATHEMATICAL OPTIMIZATION
Abstract
Supply chain management has been widely developed through the evolution of manufacturing, distribution, forecasting and customer behavior, encouraging the introduction of postponement strategies in its various forms. At these strategies, semi-finished goods are stored in certain operations of the chain, called decoupling points, waiting for the placement of demand orders, which trigger production flows from decoupling points to the remainder operations. Such a design problem faci...
Keywords
multistage stochastic programming, postponment, supply chain
Group of research
GNOM - Mathematical Optimization Group

Participants