A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint

József Mezei, Kaj-Mikael Björk

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this paper, we will develop a new multi-item economic production quantity model with limited storage space. This new model will then be extended to allow for fuzzy demand and solved numerically with a non-linear programming solver for two cases: in the first case the optimization problem will be defuzzified with the signed distance measure and in the second case, the storage constraint needs to be fulfilled, only to a certain degree of possibility. Both cases are solved and illustrated with an example.

Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings
Number of pages10
Place of PublicationCham
PublisherSpringer Verlag
Publication date01.01.2014
EditionPART 1
Pages406-415
ISBN (Print)978-3-319-08794-8
ISBN (Electronic)978-3-319-08795-5
DOIs
Publication statusPublished - 01.01.2014
MoE publication typeA4 Article in conference proceedings
Event15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2014 - Montpellier, France
Duration: 15.07.201419.07.2014

Publication series

NameCommunications in Computer and Information Science
NumberPART 1
Volume442 CCIS
ISSN (Print)1865-0929

Keywords

  • 512 Business and Management
  • Economic Production Quantity
  • Triangular fuzzy numbers
  • Inventory constraint
  • Signed distance
  • Chance constrained optimization

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    Mezei, J., & Björk, K-M. (2014). A New Approach to Economic Production Quantity Problems with Fuzzy Parameters and Inventory Constraint. In Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Proceedings (PART 1 ed., pp. 406-415). (Communications in Computer and Information Science; Vol. 442 CCIS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-319-08795-5_42