PROCEDURE FOR PRODUCTION LOT SIZING WITH PROBABILISTIC DYNAMIC DEMAND.

Research output: Contribution to journalArticle

42 Citations (Scopus)

Abstract

Numerous production-inventory systems experience significant demand variations from period to period. In many cases, actual demand is random as well. Due to the computational complexity and sensitivity of the optimal solution to the problem of selecting batch sizes, heurisic approaches are often employed. In this study the author proposes a method for selecting batch sizes when demand is probabilistic with an unstructured dynamic mean. The procedure is a least period cost approach where the optimal order up to point is found for the desired cycle length.

Original languageEnglish (US)
Pages (from-to)132-137
Number of pages6
JournalAIIE Transactions (American Institute of Industrial Engineers)
Volume13
Issue number2
StatePublished - Jun 1981
Externally publishedYes

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Computational complexity
Costs

ASJC Scopus subject areas

  • Engineering(all)

Cite this

PROCEDURE FOR PRODUCTION LOT SIZING WITH PROBABILISTIC DYNAMIC DEMAND. / Askin, Ronald.

In: AIIE Transactions (American Institute of Industrial Engineers), Vol. 13, No. 2, 06.1981, p. 132-137.

Research output: Contribution to journalArticle

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