预测(人工智能)
互操作性
弹性(材料科学)
业务
供应链
供应链管理
过程管理
计算机科学
风险分析(工程)
系统工程
工程类
营销
热力学
操作系统
物理
人工智能
作者
E.M.A.C. Ekanayake,Qiping Shen,Mohan M. Kumaraswamy,Emmanuel Kingsford Owusu,Abdullahi B. Saka
出处
期刊:Journal of the Construction Division and Management
[American Society of Civil Engineers]
日期:2021-09-09
卷期号:147 (11)
被引量:23
标识
DOI:10.1061/(asce)co.1943-7862.0002188
摘要
Given the heightened imperatives for supply chain resilience (SCR) in industrialized construction (IC) in Hong Kong, this study modeled the dynamic impact of supply chain vulnerabilities (SCVs) and supply chain capabilities (SCCs) on IC supply chains. The data collected through expert surveys, interviews, and case studies were analyzed using social network analysis (SNA) and system dynamics modeling (SDM) to develop the research models. Onsite assembly was identified as the most vulnerable supply chain phase, and anticipation as the most influential capability. Further, the use of an interoperable smart software package and other suggested strategies were shown to enhance IC’s resilient capabilities. As key practical contributions, these findings provide evidence-based insights for adopting well-focused performance-enhancing measures to achieve SCR in IC. Moreover, this is the first initiative to explore the potential applications of SDM and SNA to assess IC supply chain dynamics, targeting a goal of enhanced resilience. This study, therefore, contributes substantially to the IC and SCR knowledge domains. Findings should also motivate and provide insights for scholars pursuing similar industry-specific improvements in other jurisdictions.
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