Fuzzy comprehensive evaluation of port-centric supply chain disruption threats
- Authors
- Loh, Hui Shan; Zhou, Qingji; Thai, Vinh V.; Wong, Yiik Diew; Yuen, Kum Fai
- Issue Date
- Nov-2017
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Port risks; Resilience; Fuzzy comprehensive evaluation; Risk assessment; Risk indicators
- Citation
- OCEAN & COASTAL MANAGEMENT, v.148, pp 53 - 62
- Pages
- 10
- Journal Title
- OCEAN & COASTAL MANAGEMENT
- Volume
- 148
- Start Page
- 53
- End Page
- 62
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/3659
- DOI
- 10.1016/j.ocecoaman.2017.07.017
- ISSN
- 0964-5691
1873-524X
- Abstract
- A port with reliable operations and management plays a pivotal role in ensuring supply chain continuity, given the integral role of ports in supply chains nowadays. As supply chain parties are closely linked to each other in today's globalised trade, any disruption at ports will have negative impacts on other supply chain players. This paper evaluates the likelihood and severity of these port-centric supply chain disruption (PSCD) threats using data collected from port operators worldwide through a survey questionnaire. The PSCD threats were first identified from existing literature and interviews and subsequently structured into the questionnaire for the respondents to rate these threats' likelihood and consequence. The data were analysed using fuzzy comprehensive evaluation method. Each threat was ranked according to the relative risk value assigned to it. The results show that the combined risk level rated by port operators is between low and medium, with threats pertaining to planning and infrastructure having the greatest contribution to the disruptions, and those related to security the lowest. Congestion within terminals, congestion at hinterland transfer, shortage of facilities or equipment, port equipment breakdown and inadequate port cargo-handling equipment are the key factors in causing disruptions. Indicators are then presented to act as early-detection of these threats to manage supply chain disruptions. (C) 2017 Elsevier Ltd. All rights reserved.
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