Analyzing supply chain complexity drivers using interpretive structural modelling

Sujan Piya*, Ahm Shamsuzzoha, Mohammad Khadem

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Managing supply chain is a critical issue in any business domains. To manage the overall supply chain it is important that the management understands the drivers that is associated with the complex interactions within a chain. In this paper, generic supply chain complexity drivers are identified through literature survey and expert opinion. These drivers are then analyzed using interpretive structure modelling tool to understand the contextual relationships that exists between the identified drivers. Finally, ISM diagraph is developed based on the analyzed contextual relationship.

Original languageEnglish
Pages (from-to)304-310
Number of pages7
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018
Issue numberJUL
Publication statusPublished - Jan 1 2018
Event2nd European International Conference on Industrial Engineering and Operations Management.IEOM 2018 -
Duration: Jul 26 2018Jul 27 2018

Keywords

  • Complexity drivers
  • Interpretive structural modelling
  • Supply chain

ASJC Scopus subject areas

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

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