Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/B48D4212-9C92-46BE-8EF6-B7E4B6A243BF | ||
| Year | 2025 | ||
| Type of Item | Master Thesis | ||
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| Bibliographic Citation | Anastasios Kokkalis, "Construction Supply Chain Risk: BowTie Analysis of Critical Material Delay", Master's Thesis, Schools of Production Engineering & Management and Electrical & Computer Engineering, Technical University of Crete, Chania, Greece, 2025 https://doi.org/10.26233/heallink.tuc.102091 | ||
| Appears in Collections |
Calculating the risk has essentially no value if there is no decision to be made and the supportive tool for that is a risk analysis which can set the stage for optimal, or at least most accurate, equilibrium between payoffs and losses. Supply Chains (SCs) struggle with risks related to the delivery of the required materials and information to the right places, at the right time, with the suitable quality. The construction industry, although it differs from the manufacturing industry in terms of its project-based nature, has to deal with some risks common to all SCs, but also with some others that are specifically present to construction projects. In this context, we conducted a semi-systematic literature review (LR) to investigate on the extant theory of the construction supply chain (CSC) risks. The LR, among others, has covered the effects of the delay of generic materials at the construction site however, the causes and the consequences of the delay of critical long-lead items to the project and by extension to the construction company as an organization have been disregarded. The link for those interfaces is the CSC hence, these risks appertain to it and thus, they should be investigated under the research topic of CSC.For this investigation, a qualitative research for a single-case study was conducted by utilizing semi-structured interviews with CSC professionals of an Engineering-Procurement-Construction contractor (EPCC). The data gathered helped in producing a Bow-Tie model which depicts how the delay of the critical long-lead item is caused and what are its consequences. This is supported by a Fault Tree Analysis (FTA) and an Event Tree Analysis (ETA). The analysis identified 6 causal categories namely Management, Planning, Logistics, Manufacturing, Post-delivery and Force Majeure and 4 consequential categories namely Financial Damage, Legal Issues, Commercial Implications, and Decay of people. According to the risk level of each of the above-mentioned causes and consequences, measures of different urgency were identified and proposed.
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