Abstract

Identifying appropriate decision criteria and making optimal decisions in a structured way is a complex process. This paper presents an approach for doing this in the form of a hybrid Quality Function Deployment (QFD) and Cybernetic Analytic Network Process (CANP) model for project manager selection. This involves the use of QFD to translate the owner's project management expectations into selection criteria and the CANP to weight the expectations and selection criteria. The supermatrix approach then prioritises the candidates with respect to the overall decision-making goal. A case study is used to demonstrate the use of the model in selecting a renovation project manager. This involves the development of 18 selection criteria in response to the owner's three main expectations of time, cost and quality.

Highlights

  • Every owner, consultant, and contractor is alert to the need for good project managers, making the task of finding the right project manager for a construction project a critical one for all concerned (Ogunlana et al 2002)

  • This paper develops a decision model based on Quality Function Deployment (QFD), a customer oriented design tool that enables decision makers to systematically identify project client demands and translate their needs

  • When QFD tables are used for the purpose of project manager selection, the project client is regarded in the house of quality (HoQ) as a customer who, with the aid of experts, has his/her requirements translated into selection criteria

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Summary

Introduction

Consultant, and contractor is alert to the need for good project managers, making the task of finding the right project manager for a construction project a critical one for all concerned (Ogunlana et al 2002). This paper develops a decision model based on Quality Function Deployment (QFD), a customer oriented design tool that enables decision makers to systematically identify project client demands and translate their needs. In the first stage of QFD, HoQ, aims at prioritizing engineering characteristics This involves four steps: prioritizing important customer demands (WHATs), determining engineering characteristics or the way in which customer demands are met (HOWs), development of a relationship matrix between the WHATs and HOWs and two separate correlation matrices between the elements of the WHATs and the elements of the HOWs. When QFD tables are used for the purpose of project manager selection, the project client is regarded in the HoQ as a customer who, with the aid of experts, has his/her requirements translated into selection criteria. ANP is a multiple criteria decision-making (MCDM) method that is able to model the whole process of QFD and derive the final priorities of alternatives, with the quantification process of QFD being regarded as decision problem

Incorporating ANP into QFD
Decision model
Decomposition of the model
Knowledge acquisition under a Pair-Wiser framework
Supermatrix formation and analysis
Case study
Validation of the model
C2 C3 C4 C5 C6
Findings
Conclusions and recommendations
Full Text
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