Fuzzy logic applications in supply chain performance measurement

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Supply chain, undoubtedly, is an area of wide research and application. It apparently is an incredible network, which comes in to existence with the formation of every organization and, becomes automatically complex as the organization progresses. There are many aspects in supply chain that interest researchers, out of which, development of a supply chain performance measurement method, is having a lot of avenues still left to explore. Fuzzy logic techniques, on the other hand, has wide applications across many fields and, is known to be one of the best means for dealing with uncertainty issues found in data sets. This study is aimed at exploring instances where fuzzy logic technique has been applied to measure supply chain performance. The objective of this study is to capture milestones of fuzzy logic application in supply chain performance measurement, in order to support the interested researchers and practitioners on their further research, and potential real world applications. The findings are anticipated to be of value for academia working on supply chain performance measurement, who are particularly looking at improving the accuracy of results.

Original languageEnglish (US)
Title of host publicationInternational Annual Conference of the American Society for Engineering Management 2015, ASEM 2015
EditorsE.-H. Ng, S. Long, A. Squires
PublisherAmerican Society for Engineering Management
Pages615-621
Number of pages7
ISBN (Electronic)9781510816022
StatePublished - Jan 1 2015
EventInternational Annual Conference of the American Society for Engineering Management 2015, ASEM 2015 - Indianapolis, United States
Duration: Oct 7 2015Oct 10 2015

Publication series

NameInternational Annual Conference of the American Society for Engineering Management 2015, ASEM 2015

Conference

ConferenceInternational Annual Conference of the American Society for Engineering Management 2015, ASEM 2015
CountryUnited States
CityIndianapolis
Period10/7/1510/10/15

Fingerprint

Supply chains
Fuzzy logic
Supply chain performance
Performance measurement
Supply chain

All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation
  • Strategy and Management
  • Information Systems and Management

Cite this

Dissanayake, C. K. (2015). Fuzzy logic applications in supply chain performance measurement. In E-H. Ng, S. Long, & A. Squires (Eds.), International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015 (pp. 615-621). (International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015). American Society for Engineering Management.
Dissanayake, C. Kalpani. / Fuzzy logic applications in supply chain performance measurement. International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015. editor / E.-H. Ng ; S. Long ; A. Squires. American Society for Engineering Management, 2015. pp. 615-621 (International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015).
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Dissanayake, CK 2015, Fuzzy logic applications in supply chain performance measurement. in E-H Ng, S Long & A Squires (eds), International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015. International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015, American Society for Engineering Management, pp. 615-621, International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015, Indianapolis, United States, 10/7/15.

Fuzzy logic applications in supply chain performance measurement. / Dissanayake, C. Kalpani.

International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015. ed. / E.-H. Ng; S. Long; A. Squires. American Society for Engineering Management, 2015. p. 615-621 (International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Dissanayake CK. Fuzzy logic applications in supply chain performance measurement. In Ng E-H, Long S, Squires A, editors, International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015. American Society for Engineering Management. 2015. p. 615-621. (International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015).