Construction prequalification using data envelopment analysis

Brenda Y. McCabe · Joseph Ramani

64 citations0/0 files storedCanadian Journal of Civil Engineering

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Efficiency Analysis Using DEA Construction Project Management and Performance Multi-Criteria Decision Making

Abstract

Contractor prequalification is essential in most construction projects, and the process has been performed by many different methods in practice. Data envelopment analysis (DEA) had been recognized as a useful technique to prequalify contractors by assigning relative efficiency scores. Data envelopment analysis, however, usually requires a large amount of data and has not been fully developed to achieve reliable results. An enhanced contractor prequalification model using DEA was developed together with a methodology for determining a "practical frontier" of best contractors. The established practical frontier can be used as a regional performance standard for the owner in prequalification and as improvement guidelines for contractors.Key words: contractor prequalification, construction engineering, data envelopment analysis, practical frontier.

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1978Measuring the efficiency of decision making units 1984Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis 1990Qualifier‐2: Knowledge‐Based System for Contractor Prequalification 1990QUALIFIER‐1: Contractor Prequalification Model 2004Establishing the “practical frontier” in data envelopment analysis

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2013Competitive positioning and performance assessment in the construction industry 2010Decision to bid or not to bid: a data envelopment analysis approach 2007Integrating Value Analysis and Quality Function Deployment for Evaluating Design Alternatives 2012Empirical Framework for Making the Bid/No-Bid Decision 2008Contractor selection: fuzzy-control approach 2012Modeling Profitability and Stock Market Performance of Listed Construction Firms on the Athens Exchange: Two-Stage DEA Approach 2013Nature of Firm Performance in Construction 2013A contractor pre-qualification model based on the quality function deployment method

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