Measuring supply chain complexity based on multi-criteria decision approach

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

1 Citation (Scopus)

Abstract

This study identified twenty-two drivers that cause the complexity in supply chain. The level of such complexity is quantified by using hybrid AHP and GRA method. A case company is studied in order to demonstrate the applicability of the proposed method. The results from the case company were analyzed and it is seen that the level of supply chain complexity of the case company is 0.44, which is signifying that there is a considerable scope of improvement in terms of minimizing complexity in its supply chain. From the study outcomes, it is realized that the case company mainly needs substantial improvement on the issues of “government regulation, “ “internal communication and information sharing, “ and “company culture“ in order to minimize the level of accompanied complexity in its supply chain.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management
PublisherIEOM Society
Pages2937-2944
Number of pages8
EditionMarch
ISBN (Print)9781532359491, 9781532359514, 9781532359521
Publication statusPublished - 2020
Externally publishedYes
Event10th Annual International IEOM Conference, IEOM 2020 - Dubai, United Arab Emirates
Duration: Mar 10 2020Mar 12 2020

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
NumberMarch
Volume0
ISSN (Electronic)2169-8767

Conference

Conference10th Annual International IEOM Conference, IEOM 2020
Country/TerritoryUnited Arab Emirates
CityDubai
Period3/10/203/12/20

Keywords

  • Analytical hierarchy process
  • Case study
  • Complexity measurement
  • Grey relational analysis
  • Supply chain complexity

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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