Production Planning Under Demand Uncertainty: A Budgeted Uncertainty Approach

Romain Guillaume (), Adam Kasperski and Paweł Zieliński ()
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Romain Guillaume: Université de Toulouse-IRIT
Paweł Zieliński: Wrocław University of Science and Technology

A chapter in Operations Research Proceedings 2019, 2020, pp 431-437 from Springer

Abstract: Abstract The paper deals with a version of the capacitated single-item lot sizing problem with backordering under uncertainty. The interval representation of uncertain cumulative demands is considered. Two its variants: the discrete budgeted uncertainty and the continuous budgeted uncertainty, are examined. In order to choose a robust production plan, for the problem under consideration, that hedges against the uncertainty the well-known minmax criterion is adopted. Polynomial and pseudopolynomial methods for finding a robust production plan, respectively, under the discrete and continuous budgeted uncertainty are proposed.

Keywords: Optimization under uncertainty; Supply chain; Production planning (search for similar items in EconPapers)
Date: 2020
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Working Paper: Production planning under demand uncertainty: a budgeted uncertainty approach (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-48439-2_52

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DOI: 10.1007/978-3-030-48439-2_52

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