Developing a Formative Construction Supply Chain Resilience Index to Improve Cost and Schedule Stability in Post-Disaster Projects
DOI:
https://doi.org/10.33292/ost.v6i1.188Keywords:
AHP, Multiple regression, Post-disaster projects, Project performance, Supply chain resilienceAbstract
Background: Construction material supply chain resilience has emerged as a critical determinant of infrastructure project success in disaster-prone regions; however, its quantitative measurement at the post-disaster project level remains limited, particularly at the district scale. Despite East Lombok being an earthquake-affected area with intensive reconstruction activities, no empirical model has systematically quantified supply chain resilience and tested its influence on project cost and schedule performance.
Aims: This study aimed to identify priority factors of construction material supply chain resilience and to examine the effect of a resilience index on post-earthquake project performance.
Methods: An explanatory quantitative approach was applied to 25 reconstruction projects in East Lombok, involving eight experts for AHP weighting and multiple regression analysis of CPI and SPI using SPSS/Stata.
Result: The results indicated that supplier diversification was the dominant factor (weight = 0.32) with acceptable consistency (CR = 0.069), while the average resilience index reached 0.64. The resilience index explained 46% of cost performance variance and 52% of schedule performance variance, demonstrating significant positive relationships (p < 0.05).
Conclusion: These findings confirm that supply chain resilience functions as a risk-buffering mechanism for cost and schedule stability in post-disaster projects. The study provides an empirical operationalization of Supply Chain Resilience into a measurable AHP-based index.
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