TY - JOUR
T1 - Modeling Supply Chain Resilience in Industrialized Construction
T2 - A Hong Kong Case
AU - EKANAYAKE MUDIYANSELAGE, Anushika Chathurangi Ekanayake
AU - Shen, Geoffrey Q.P.
AU - Kumaraswamy, Mohan M.
AU - Owusu, Emmanuel K
AU - Saka, Abdullahi B.
N1 - Funding Information:
The research described in this paper is supported by the National Natural Science Foundation of China (Grant No.71671156) and the Research Institute for Sustainable Urban Development of the Hong Kong Polytechnic University. The authors also gratefully acknowledge the contributions of the HK Ph.D. Fellowship Scheme and the Hong Kong Polytechnic University in the preparation of this paper. The authors gratefully acknowledge the survey respondents and anonymous reviewers for their significant contribution to the draft and improvements to this paper.
Publisher Copyright:
© 2021 American Society of Civil Engineers.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - 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.
AB - 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.
KW - Industrialized construction (IC)
KW - Social network analysis (SNA)
KW - Supply chain capabilities (SCCs)
KW - Supply chain resilience (SCR)
KW - Supply chain vulnerabilities (SCVs)
KW - System dynamics modeling (SDM)
UR - https://www.scopus.com/pages/publications/85114881721
U2 - 10.1061/(ASCE)CO.1943-7862.0002188
DO - 10.1061/(ASCE)CO.1943-7862.0002188
M3 - Journal article
AN - SCOPUS:85114881721
SN - 0733-9364
VL - 147
JO - Journal of Construction Engineering and Management
JF - Journal of Construction Engineering and Management
IS - 11
M1 - 05021009
ER -