An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand

József Mezei*, Kaj Mikael Björk

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Optimization models based on fuzzy set theory are relevant to the process industry, where there are many uncertainties that are inherently fuzzy. In this paper, we incorporate backorders (i.e the inventory to go below zero) and cycle time in a fuzzy Economic Production Quantity (EPQ) model. The uncertainties in the backorders and in the demand for different products are modeled using triangular possibility distributions. We illustrate the model with an example that describes a typical decision making problem in the paper industry.

Original languageEnglish
Title of host publicationAdvances in Information Systems and Technologies
Number of pages10
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
Publication date01.01.2013
Pages557-566
ISBN (Print)978-3-642-36980-3
ISBN (Electronic)978-3-642-36981-0
DOIs
Publication statusPublished - 01.01.2013
MoE publication typeA4 Article in conference proceedings
Event2013 World Conference on Information Systems and Technologies, WorldCIST 2013 - Olhao, Algarve, Portugal
Duration: 27.03.201330.03.2013

Publication series

NameAdvances in Intelligent Systems and Computing (AISC)
Volume206
ISSN (Print)2194-5357

Keywords

  • 512 Business and Management
  • Economic Production Quantity
  • Fuzzy Sets
  • Signed Distance
  • Production optimization
  • Supply Chain Management

Fingerprint Dive into the research topics of 'An Economic Production Quantity Problem with Fuzzy Backorder and Fuzzy Demand'. Together they form a unique fingerprint.

Cite this