Publication | Open Access
Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)
191
Citations
78
References
2017
Year
Logistics ProcessesConstruction Project ManagementEngineeringIndustrial EngineeringSupply NetworkSupply Chain RiskDecision AnalyticsQuality Function DeploymentSupply Chain ResilienceOperations ResearchManagementLogisticsSupply ChainSystems EngineeringSupply Chain ViabilitySupplier Selection FrameworkAnalytic Hierarchy ProcessBuilding Information ModellingSupply Chain DesignSupply Chain ManagementOperations ManagementResilience CapabilityConstruction OperationsSupply ManagementGrey Relational AnalysisSupplier RelationshipBusinessConstruction ManagementConstruction EngineeringSupply Chain Analysis
Construction supply chain management is a unique and problematic issue within the construction industry due to its inevitable external risks and variations. The resilience capability of a supplier is of significance in supplier selection; a supplier selected in the context of a resilient construction supply chain (RCSC) is referred to in this research as a “resilient construction supplier”. This paper proposes a supplier selection framework tailored to effective information integration for supply chain management. The proposed framework works by integrating building information modeling (BIM) and a geographic information system (GIS) in a RCSC. BIM and GIS together provide highly transparent construction material information, enhanced supply chain status visualization, and workable access information for supplier selection. Supplier performance is evaluated via seventeen resilient criteria under a combined methodology consisting of the analytic hierarchy process (AHP) and grey relational analysis (GRA); AHP and GRA weigh the criteria and rank the suppliers respectively. By varying the weightings given to each criterion, sensitivity analysis was conducted to identify the criteria of resilience which impact the selection priorities of suppliers. An illustrative example is also provided to show the overall process of the proposed framework.
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