A heuristic genetic algorithm for subcontractor selection in a global manufacturing environment

Dingwei Wang · Kai Leung Yung · W.H. Ip

113 citations0/0 files storedIEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)

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Resource-Constrained Project Scheduling Construction Project Management and Performance Multi-Criteria Decision Making

Abstract

Presents an investigation of how partner selection problems may be optimized by the use of a precedence network of subprojects. At the start, the problem is described by a model with the subscript type of variables and a non-analytical objective function. It cannot be solved by general mathematical programming methods. By using the fuzzy rule quantification method, a fuzzy logic-based decision-making approach for the project scheduling is proposed. We then develop a fuzzy decision embedded heuristic genetic algorithm (GA/FD) to find the solution for partner selection. The approach was demonstrated by the use of an experimental example drawn from a coal-fired power station construction project. The results show us that the suggested approach can quickly achieve the optimal solution for large-sized problems.

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References

1999Resource-constrained project scheduling: Notation, classification, models, and methods 1985Fuzzy Set Theory — and Its Applications 1998Agile manufacturing: Enablers and an implementation framework 1977Activity networks: Project planning and control by network models 1995Agile Competitors and Virtual Organizations 1997Supply chain partnerships: Opportunities for operations research 1999A genetic algorithm approach to a general category project scheduling problem 2002A quantitative framework for designing efficient business process alliances

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