| Fuzzy Approach in Organizing Construction Industry Activities (2007) | |||||||||||||
Abstract | |||||||||||||
| Abstract: Several big construction companies have already undergone a massive programme of restructuring and expansion inorder to capitalize the market both in the domestic and international scenario. In order to survive the competition, modern construction companies are required to be fully adaptive according to the market situation. To accomplish that, construction industries are characterised by having mobile assets and even mobile work force relative to many other industries ' activities. In many situations, organising construction industry activities may be based on sound judgement and common sense. This implies imprecise and vague decisions. Fuzzy logic has been well accepted to model imprecision and to optimise vague decisions. Decision processes of organising construction industry activities, therefore, could be explained by fuzzy multiple objective decision methods. The purpose of the paper is to point to the usefulness of applying a linear mathematical formulation of fuzzy multiple criteria objective decision methods in organising construction industry activities. In this respect fuzzy parameters of linear programming are modelled by preference-based membership functions. The membership functions represent subjective degrees of satisfaction within given tolerance. This paper begins with an introduction and some related research followed by some fundamentals of fuzzy set theory and technical concepts of fuzzy multiple objective decision models. Further we have presented a real case study of a concrete manufacturing plant and our implementation of the proposed technique. Empirical results are promising and clearly show the superiority of the fuzzy technique in terms of optimisation of the individual objective functions when compared to non-fuzzy approach. For the problem considered, the optimal solution obtained point to insignificant difference between non-fuzzy and fuzzy objective 1 | |||||||||||||
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