A lot-sizing and scheduling model for multi-stage flow lines with zero lead times

2013 ◽  
Vol 225 (3) ◽  
pp. 404-419 ◽  
Author(s):  
Hartmut Stadtler ◽  
Florian Sahling
Keyword(s):  
Lot Sizing ◽  
Lead Times ◽  
Flow Lines ◽  
Scheduling Model ◽  
Multi Stage ◽  
Lot Sizing And Scheduling

Echelon stock formulation for multi-stage lot-sizing with component lead times

1993 ◽  
Vol 24 (9) ◽  
pp. 1759-1775 ◽  
Author(s):  
ALISTAIR R. CLARK ◽  
VINICIUS A. ARMENTANO
Keyword(s):  
Lot Sizing ◽  
Lead Times ◽  
Multi Stage

scholarly journals A framework for developing lot-sizing and scheduling model for multiproduct

2020 ◽  
Vol 796 ◽  
pp. 012009
Author(s):  
Huda Muhamad Badri ◽  
Nor Kamaliana Khamis ◽  
Mariyam Jameelah Ghazali
Keyword(s):  
Lot Sizing ◽  
Scheduling Model ◽  
Lot Sizing And Scheduling

scholarly journals Application of Interval Arithmetic to Production Planning in a Foundry

2017 ◽  
Vol 17 (1) ◽  
pp. 41-44
Author(s):  
J. Duda ◽  
A. Stawowy
Keyword(s):  
Production Planning ◽  
Interval Arithmetic ◽  
Lot Sizing ◽  
Accurate Information ◽  
Test Problems ◽  
Planning And Scheduling ◽  
Production Planning And Scheduling ◽  
Scheduling Model ◽  
Novel Approach ◽  
Lot Sizing And Scheduling

Abstract A novel approach for treating the uncertainty about the real levels of finished products during production planning and scheduling process is presented in the paper. Interval arithmetic is used to describe uncertainty concerning the production that was planned to cover potential defective products, but meets customer’s quality requirement and can be delivered as fully valuable products. Interval lot sizing and scheduling model to solve this problem is proposed, then a dedicated version of genetic algorithm that is able to deal with interval arithmetic is used to solve the test problems taken from a real-world example described in the literature. The achieved results are compared with a standard approach in which no uncertainty about real production of valuable castings is considered. It has been shown that interval arithmetic can be a valuable method for modeling uncertainty, and proposed approach can provide more accurate information to the planners allowing them to take more tailored decisions.

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.

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