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Production and Operations Management: Models and Algorithms

In: Production and Inventory Management with Substitutions

Author

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  • J. Christian Lang

    (Technische Universität Darmstadt)

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.

Suggested Citation

  • J. Christian Lang, 2010. "Production and Operations Management: Models and Algorithms," Lecture Notes in Economics and Mathematical Systems, in: Production and Inventory Management with Substitutions, chapter 0, pages 9-79, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-04247-8_2
    DOI: 10.1007/978-3-642-04247-8_2
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    Cited by:

    1. Sitek Pawel & Wikarek Jaroslaw, 2014. "A Hybrid Method for the Modelling and Optimisation of Constrained Search Problems," Foundations of Management, Sciendo, vol. 5(3), pages 7-22, August.

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