Risk evaluation of warehouse operations using fuzzy FMEA

Alp Ustundag*

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

Warehouse processes in supply chain operations contain risks which lead to a poor supply chain performance. Therefore, risk analysis in warehouse operations is a critical issue to increase both the supply chain efficiency and the customer service level. In this study, fuzzy FMEA method is used to evaluate the risks of warehouse operations. Ten failure factors are determined for warehouse operations of a food retail distributor. As the first five cause permanent shrinkage of products, the second five are related to the processes. According to the evaluations of the FMEA team members, fuzzy and crisp risk priority numbers (RPN) of ten failure factors are determined.

Original languageEnglish
Title of host publicationAdvances in Computational Intelligence - 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012, Proceedings
Pages403-412
Number of pages10
EditionPART 4
DOIs
Publication statusPublished - 2012
Event14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012 - Catania, Italy
Duration: 9 Jul 201213 Jul 2012

Publication series

NameCommunications in Computer and Information Science
NumberPART 4
Volume300 CCIS
ISSN (Print)1865-0929

Conference

Conference14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
Country/TerritoryItaly
CityCatania
Period9/07/1213/07/12

Keywords

  • fuzzy FMEA
  • risk evaluation
  • risk priority number (RPN)
  • warehouse operations

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