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Negotiation of on-site buffer stocks: A fuzzy non-structural fuzzy decision support system approach

  • S. Thomas Ng*
  • , Yuan Fang
  • , R. Martin Skitmore
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The purpose of this paper is to examine the possibility of applying non-structural fuzzy decision support theory in modelling the negotiation between various participants with conflicting objectives so as to establish the optimum buffer stocks for a construction project. In view of the divergence in objectives between various decision makers when determining the amount of materials to be delivered to site, the concept of integrating the non-structural fuzzy decision support system (NFDSS) to multi-attribute decision making is reviewed. With the help of a case study example, the process involved in the NFDSS and the methodology of evaluation are illustrated. Finally, the paper proposes the use of the Nash criterion to measure the utility of various decision makers so as to identify an equilibrium solution on the quantity of materials to be supplied. The results indicate that the requisite number of on-site stocks can be determined by referring to the utility of the parties involved in decision making. The NFDSS systematically evaluates each scenario under different affected factors such as cost, schedule, quality, safety, etc. Finally, a scenario utility is computed to establish the preference of each party. The paper is of value in showing how NFDSS can systematically analyse human judgements to generate relative weightings for the decision factors and elements. The NFDSS model can be applied to real-world cases to determine the frequency of delivery and the amount of buffer stocks that would meet the interest of various project participants. © 2008, Emerald Group Publishing Limited
Original languageEnglish
Pages (from-to)202-217
JournalConstruction Innovation
Volume8
Issue number3
DOIs
Publication statusPublished - 11 Jul 2008
Externally publishedYes

Bibliographical note

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Research Keywords

  • Buffer stock
  • Construction industry
  • Decision support systems
  • Fuzzy logic
  • Utility theory

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