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Production and Operations Management: Models and Algorithms

Chapter
Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 636)

Abstract

This chapter intends to give an overview of the literature on dynamic lot-sizing models and stochastic transshipment models. These two types of models are used as a basis for developing models with substitution in the following chapters. Section 2.1 contains a classification of models for dynamic lot-sizing / production planning, and selected models. In Sect. 2.2, we give a brief overview of available methods for solving deterministic dynamic lot-sizing problems modeled using mixed-integer linear programming (MILP). Section 2.3 introduces transshipment problems and presents a classification scheme for transshipment models. Section 2.4 reviews selected solution approaches that can be applied to stochastic inventory control models such as transshipment problems.

Keywords

Valid Inequality Replenishment Policy Transshipment Problem Common Random Numbers Production Planning Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Department of Law, Business and Economics Chair of Operations ResearchTechnische Universität DarmstadtDarmstadtGermany

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