Integrated Supplier Selection Framework in a Resilient Construction Supply Chain: An Approach via Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA)

Abstract

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.

A Critical Review of the Integration of Geographic Information System and Building Information Modelling at the Data Level

“…Unfortunately, BIM cannot handle those data efficiently. Another reason BIM will benefit from GIS capability is that it needs some of the rich spatial analysis functions from GIS to extend its capability, such as distance calculation for construction material supplier selection [36].…”

Novel Integrated Multi-Criteria Model for Supplier Selection: Case Study Construction Company

“…Quality of material [6,21, Price of material [6,21,[26][27][28][29][30][31][33][34][35][36][37][38][39][40][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56] Certification of products [26,31,40,42,44,50,52,57] Delivery time [21,[26][27][28][29][30][31][33][34][35][36]…”

An Ontology-Based Knowledge Modelling for a Sustainability Assessment Domain

“…Reviewing the literature and existing approaches, there were narrow attempts to adapt knowledge engineering mechanisms to enhance obtaining information of sustainability assessment solutions. Existing single knowledge-based approaches, like frameworks [65], knowledge management factors [24,69] and sets of gathered measures and taxonomies [14], emphasize both the taken activities and necessity of implementation of that type of solution [70]. For example, the importance and key issues of promoting sustainability through knowledge management were proposed by [65], introducing a conceptual framework for managing sustainability knowledge.…”

“…The proposed solution should be treated as an empirical, rather than a normative, taxonomy [14], suggesting that the future development is needed. In a study by Wang [24], it was highlighted that knowledge management factors enabling green supply chain collaboration underlines the requirement of adapting knowledge engineering mechanisms in this field [24]. This refers to the consequent dimensions, like strategic, managerial, organizational, technological, environmental, financial, human-socio and operational ones.…”