A fuzzy synthetic evaluation of capabilities for improving supply chain resilience of industrialised construction: a Hong Kong case study

E. M.A.C. Ekanayake, Geoffrey Q.P. Shen, Mohan M. Kumaraswamy

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Inspired by multiple benefits, including competitive advantages from developing resilient supply chains, this study was designed for the development of effective assessment models to evaluate Supply Chain Capabilities (SCC), improving resilience in Industrialised Construction (IC) in one of the high-density cities: Hong Kong (HK). First identifying appropriate SCC, this study aimed to develop multi-stage-mathematical models to evaluate the adoption of SCC of IC in HK. Experts’ judgements were solicited and analysed using fuzzy synthetic evaluation. Forty-one measurement items were grouped under nine critical SCC components, and their ‘importance’ and ‘current practice’ indices were determined. The importance index of SCC is high, spotlighting the significance of the contribution of SCC to resilience whereas the current practice index is comparatively low, highlighting the dire need to bridge this gap with capability improvements. To the authors' knowledge, these evaluation models are the first set of structured models designed to assess SCC of IC, providing valuable insights to practitioners for well-informed decision-making in formulating strategies to initiate and nurture resilient supply chains in IC in HK.

Original languageEnglish
JournalProduction Planning and Control
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • fuzzy synthetic evaluation (FSE)
  • industrialised construction (IC)
  • supply chain capabilities (SCC)
  • Supply chain resilience (SCR)

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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