Optimal production-inventory policy for an integrated multi-stage supply chain with time-varying demand

Shi Tao Zhao*, Kan Wu, Xue Ming Yuan

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

29 Scopus citations

Abstract

An integrated multi-stage supply chain with time-varying demand over a finite planning horizon is considered in this paper. The objective is to devise the optimal production-inventory policy to minimize the total operational cost. The model is formulated as a mixed integer nonlinear programming problem. The problem is represented as a weighted directed acyclic graph. The global minimum total operational cost is computed in polynomial time by the developed algorithm. Two numerical examples of a seasonal product and a product over its life cycle are studied to illustrate the results. A sensitivity analysis of the system parameters is conducted to assist the supply chain decision makers.

Original languageEnglish
Pages (from-to)364-379
Number of pages16
JournalEuropean Journal of Operational Research
Volume255
Issue number2
DOIs
StatePublished - 01 12 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 Elsevier B.V.

Keywords

  • Inventory
  • Networks
  • Supply chain management
  • Time-varying demand

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