A multi-criteria approach to contractor selection

Abstract

This paper describes a multiple‐criteria decision support system (MCDSS) for the selection of the most appropriate contractor. The system can accommodate the unique characteristics of a project in addition to the qualifications and capabilities of those contractors assessed. The system first evaluates the list of contractors by matching their qualifications with specific project conditions. A short list of eligible contractors is thus selected and further the MCDSS compares the current capabilities of the short listed contractors and their plans for the project under consideration, to select the most appropriate contractor. The Delphi method was used to evoke expertise and obtain reliable assessment values for all criteria related to the contractor qualification, while the analytic hierarchy process (AHP) was used to assess the specific project conditions. The system can be easily modified to adopt specific conditions of the proposed project and also to facilitate the decision maker in explaining the reasons for the elimination of excluded contractor.

Multi‐attribute Contractors Ranking Method by Applying Ordering of Feasible Alternatives of Solutions in Terms of Preferability Technique / Daugiatikslis Rangovų Parinkimo Metodas Taikant Įmanomų Sprendinių Alternatyvų Rangavimo Prioriteto Požiūriu Būdą

“…Another approach suggested by Al-Harbi (2001), Mahdi et al (2002) and Topcu (2004) used Analytical Hierarchy Process methods to select contractors. Shiau et al (2002) developed an sub-contractor selection management aid system.…”

Innovative Approach for IBS Vendor Selection Problem

“…04018-p. 3 lot of research on DSS in planning has been conducted to date in construction management [14][15][16]. However, most of the models are impractical since they are complicated and difficult for a layman such as project managers to use.…”

“…Some researchers only concentrate on model development and discards important computer science fundamentals, e.g. software engineering, information management and human-centred computing [14,16,17]. Some researchers have attempted to adopt computing essence in their model development [18].…”

A Fuzzy Multicriteria Grade Cluster Analysis for the Budget Allocation of Tourism and Leisure Resources

“…In particular, in transportation construction, this method was used by Huang et al (2003) to assess the competitive abilities of ports [9] and by Pearman et al (1989) to rank road investment programming [10]; the AHP method was utilized to evaluate the influence of constructing an expressway and the selection of contractors or procurement methods [11][12][13][14][15][16]. For the subject of budget allocation, Kwak & Diminnie (1987) resorted to a goal programming model to research the budget allocation of academic units [17]; Sundberg et al (1989) to explore the allocation mechanisms in public provision of transport and communication infrastructure [18]; Ramanathan & Ganesh (1995) applied the AHP method to resource allocation [19]; Perng et al (2007) used the Genetic Algorithm (GA) to solve the budget allocation in the restoration of historical buildings [20]; Han et al (2005) adopted a non-linear programming model to figure out the optimal financial budget for software development plans [21]; Karydas and Gifun (2006) applied multi-attribute utility theory to the budget allocation of the infrastructure renewal programmes on university campuses [22]; the governments responded to actual or potential investments in tourism development [23,24].…”