A Fuzzy Stochastic Programming Approach for Multi-level Capacitated Lot-Sizing Problem Under Uncertainty

2014 ◽  
pp. 393-407 ◽  
Author(s):  
N. Sahebjamnia ◽  
S. A. Torabi
Keyword(s):  
Stochastic Programming ◽  
Lot Sizing ◽  
Programming Approach ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing ◽  
Multi Level ◽  
Fuzzy Stochastic Programming

scholarly journals Lead time considerations for the multi-level capacitated lot-sizing problem

2015 ◽  
Vol 241 (3) ◽  
pp. 727-738 ◽  
Author(s):  
Christian Almeder ◽  
Diego Klabjan ◽  
Renate Traxler ◽  
Bernardo Almada-Lobo
Keyword(s):  
Lead Time ◽  
Lot Sizing ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing ◽  
Multi Level

A possibilistic programming approach for capacitated lot-sizing problem in mixed assembly shops

2013 ◽  
Vol 6 (4) ◽  
pp. 388 ◽  
Author(s):  
Navid Sahebjamnia ◽  
Yalda Yahiazadeh Andavari ◽  
Zahra Safaie Koleti ◽  
Hamed Gholami Orimi
Keyword(s):  
Lot Sizing ◽  
Programming Approach ◽  
Possibilistic Programming ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing

scholarly journals A multistage stochastic lot-sizing problem with cancellation and postponement under uncertain demands

2021 ◽  
Author(s):  
Carlos E Testuri ◽  
Héctor Cancela ◽  
Víctor M. Albornoz
Keyword(s):  
Information Structure ◽  
Lot Sizing ◽  
Valid Inequalities ◽  
Mixed Integer ◽  
Uncertain Demand ◽  
Programming Approach ◽  
Lead Times ◽  
Multi Stage ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing

A multistage stochastic capacitated discrete procurement problem with lead times, cancellation and postponement is addressed.  The problem determines the procurement of a product under uncertain demand at minimal expected cost during a time horizon.  The supply of the product is made through the purchase of optional distinguishable orders of fixed size with delivery time.  Due to the unveiling of uncertainty over time it is possible to make cancellation and postponement corrective decisions on order procurement.  These decisions involve costs and times of implementation.  A model of the problem is formulated as an extension of a discrete capacitated lot-sizing problem under uncertain demand and lead times through a multi-stage stochastic mixed-integer linear programming approach.  Valid inequalities are generated, based on a conventional inequalities approach, to tighten the model formulation.  Experiments are performed for several problem instances with different uncertainty information structure.  Their results allow to conclude that the incorporation of a subset of the generated inequalities favor the model solution.

scholarly journals Solving a multi-level capacitated lot sizing problem with multi-period setup carry-over via a fix-and-optimize heuristic

2009 ◽  
Vol 36 (9) ◽  
pp. 2546-2553 ◽  
Author(s):  
Florian Sahling ◽  
Lisbeth Buschkühl ◽  
Horst Tempelmeier ◽  
Stefan Helber
Keyword(s):  
Lot Sizing ◽  
Lot Sizing Problem ◽  
Capacitated Lot Sizing ◽  
Multi Level ◽  
Carry Over
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