An economic production quantity problem with backorders and fuzzy cycle times

József Mezei, Kaj-Mikael Björk

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)

Abstract

Optimization models combining Economic Production Quantity models and fuzzy set theory are important to the process industry as they are capable of modeling the numerous uncertainties inherent in this context. In this paper, we incorporate backorders (i.e the inventory to go below zero) in a fuzzy Economic Production Quantity (EPQ) model. The uncertainties in the backorders for different products are modeled using triangular possibility distributions. We present an example describing a typical decision making problem in the paper industry to illustrate our model.
Original languageEnglish
Peer-reviewed scientific journalJournal of Intelligent and Fuzzy Systems
Volume28
Issue number4
Pages (from-to)1861-1868
Number of pages8
ISSN1064-1246
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Inventory management
  • fuzzy numbers
  • EOQ-model
  • production-inventory optimization
  • supply chain management

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