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

IF 6.1 3区管理学 Q1 ENGINEERING, INDUSTRIAL Production Planning & Control Pub Date : 2021-07-19 DOI:10.1080/09537287.2021.1946330

E. Ekanayake, Geoffrey Q. P. Shen, M. Kumaraswamy

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引用次数: 12

Abstract

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.

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提高工业化建筑供应链弹性能力的模糊综合评价:以香港为例

摘要:受发展弹性供应链带来的多重利益(包括竞争优势)的启发，本研究旨在开发有效的评估模型来评估供应链能力(SCC)，以提高高密度城市之一香港的工业化建筑(IC)的弹性。本研究首先确定合适的SCC，旨在建立多阶段数学模型来评估香港集成电路采用SCC的情况。采用模糊综合评判法征求专家意见并进行分析。41个测量项目分为9个关键SCC组成部分，并确定了它们的“重要性”和“当前实践”指数。SCC的重要性指数很高，突出了SCC对弹性的贡献的重要性，而目前的实践指数相对较低，突出了迫切需要通过能力改进来弥合这一差距。据作者所知，这些评估模型是第一套旨在评估集成电路SCC的结构化模型，为从业者在制定策略时提供有价值的见解，以启动和培育香港集成电路的弹性供应链。

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来源期刊

Production Planning & Control 管理科学-工程：工业

CiteScore

19.30

自引率

9.60%

发文量

审稿时长

6-12 weeks

期刊介绍： Production Planning & Control is an international journal that focuses on research papers concerning operations management across industries. It emphasizes research originating from industrial needs that can provide guidance to managers and future researchers. Papers accepted by "Production Planning & Control" should address emerging industrial needs, clearly outlining the nature of the industrial problem. Any suitable research methods may be employed, and each paper should justify the method used. Case studies illustrating international significance are encouraged. Authors are encouraged to relate their work to existing knowledge in the field, particularly regarding its implications for management practice and future research agendas.