A fuzzy approach for assessing contractors' competitiveness

Purpose – Proper assessment of contractors' competitiveness is important for assisting contractors in taking internal analysis and for assisting clients in selecting suitable contractors. This paper seeks to address this issue.Design/methodology/approach – With previously identified contractor key competitiveness indicators (KCIs), this study presents a fuzzy competitiveness rating (FCR) method for measuring contractor competitiveness with reference to the Hong Kong construction industry. A set of linguistic terms is used for facilitating the assessment process.Findings – For illustration, an example is used to show the application of the FCR method. The results provide valuable information for helping contractors in the local construction industry to understand their competitive advantages and weaknesses, and to formulate effective competition strategies to improve their competitiveness.Research limitations/implications – The model used in this study is not validated by real cases. In a future paper, the...

[1]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[2]  Hans-Jürgen Zimmermann,et al.  Fuzzy Set Theory - and Its Applications , 1985 .

[3]  A. Pettigrew Competitiveness and the management process , 1988 .

[4]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[5]  Bilal M. Ayyub,et al.  Multi-attribute fuzzy decisions in construction strategies , 1992 .

[6]  R. M. Skitmore,et al.  Prequalification and c-competitiveness , 1993 .

[7]  W. Pedrycz Why triangular membership functions , 1994 .

[8]  Azriel Rosenfeld,et al.  On a metric distance between fuzzy sets , 1996, Pattern Recognit. Lett..

[9]  Stanislaw Heilpern,et al.  Representation and application of fuzzy numbers , 1997, Fuzzy Sets Syst..

[10]  Martin Skitmore,et al.  The effect of contract type and size on competitiveness in bidding , 1997 .

[11]  Aminah Robinson Fayek,et al.  COMPETITIVE BIDDING STRATEGY MODEL AND SOFTWARE SYSTEM FOR BID PREPARATION , 1998 .

[12]  D Walker,et al.  Multiple performance criteria for evaluating construction contractors , 1999 .

[13]  Derek S. Drew,et al.  OPTIMAL BID MODEL FOR PRICE-TIME BIPARAMETER CONSTRUCTION CONTRACTS , 1999 .

[14]  Shan Feng,et al.  Decision support for fuzzy comprehensive evaluation of urban development , 1999, Fuzzy Sets Syst..

[15]  Joseph H. M. Tah,et al.  A proposal for construction project risk assessment using fuzzy logic , 2000 .

[16]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[17]  Chen-Tung Chen,et al.  A fuzzy approach to select the location of the distribution center , 2001, Fuzzy Sets Syst..

[18]  Krzysztof Jajuga,et al.  Fuzzy clustering with squared Minkowski distances , 2001, Fuzzy Sets Syst..

[19]  J. Clausen,et al.  Small and Medium Sized Companies in Europe: Environmental Performance, Competitiveness and Management: International EU Case Studies , 2003 .

[20]  Weisheng Lu,et al.  A computer-aided decision support system for assessing a contractor's competitiveness , 2003 .

[21]  Ching-Torng Lin,et al.  Bid/no-bid decision-making – a fuzzy linguistic approach , 2004 .

[22]  Q. Shen,et al.  Awarding Construction Contracts on Multicriteria Basis in China , 2004 .

[23]  Seongwon Seo,et al.  Fuzzy decision-making tool for environmental sustainable buildings , 2004 .

[24]  Robert L. K. Tiong,et al.  A Fuzzy Decision Framework for Contractor Selection , 2005 .

[25]  Deng Yong Plant location selection based on fuzzy TOPSIS , 2006 .

[26]  Patrick X.W. Zou,et al.  Fuzzy Analytical Hierarchy Process Risk Assessment Approach for Joint Venture Construction Projects in China , 2007 .

[27]  Zeshui Xu,et al.  An interactive method for fuzzy multiple attribute group decision making , 2007, Inf. Sci..

[28]  Yongtao Tan,et al.  Contractor key competitiveness indicators (KCIs) : a Hong Kong study , 2007 .

[29]  Yawei Li,et al.  Fuzzy Approach to Prequalifying Construction Contractors , 2007 .

[30]  Dan Wang,et al.  MBNQA‐oriented self‐assessment quality management system for contractors: fuzzy AHP approach , 2008 .

[31]  Weisheng Lu,et al.  Multiple‐objective bidding strategy using goal programming technique , 2008 .

[32]  Aminah Robinson Fayek,et al.  Predicting and Evaluating Construction Trades Foremen Performance: Fuzzy Logic Approach , 2009 .

[33]  H.-J. Zimmermann Fuzzy set theory , 2010 .