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Anumba, C J, Issa, R R A, Pan, J and Mutis, I (2008) Ontology-based information and knowledge management in construction. Construction Innovation, 8(03), 218–39.

Issa, R R A and Haddad, J (2008) Perceptions of the impacts of organizational culture and information technology on knowledge sharing in construction. Construction Innovation, 8(03), 182–201.

Matipa, W M, Kelliher, D and Keane, M (2008) How a quantity surveyor can ease cost management at the design stage using a building product model. Construction Innovation, 8(03), 164–81.

Ng, S T, Fang, Y and Skitmore, R M (2008) Negotiation of on-site buffer stocks: A fuzzy non-structural fuzzy decision support system approach. Construction Innovation, 8(03), 202–17.

  • Type: Journal Article
  • Keywords: Buffer stock; Construction industry; Decision support systems; Fuzzy logic; Utility theory
  • ISBN/ISSN: 1471-4175
  • URL: http://www.emeraldinsight.com/10.1108/14714170810888967
  • Abstract:
    Purpose – 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. Design/methodology/approach – 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. Findings – 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. Research limitations/implications – 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. Originality/value – 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. Record 4.