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Conflict resolution towards an integrated project scheduling and material ordering system in a large-scale construction project. (English) Zbl 1477.90019

Summary: This paper emphasizes a novel integration of project scheduling and material ordering (PSMO) under a fuzzy random environment, which provides more flexibility to the project scheduling and considers additional trade-offs between these two issues. Hence, a novel Stackelberg game model within bi-level multi-objective programming is developed to examine the inherent conflicts and interactions in the integrated PSMO, in which the project scheduling problem (PSP) is the upper-level programming, while the material ordering problem (MOP) is the lower-level programming. To search for the optimal equilibrium strategy, a bi-level hybrid algorithm combined of particle swarm optimization (PSO) and genetic algorithm (GA) is developed. Finally, the applicability and efficiency of the proposed optimization methods are evaluated through a practical large-scale construction project.

MSC:

90B35 Deterministic scheduling theory in operations research
90B50 Management decision making, including multiple objectives
90C59 Approximation methods and heuristics in mathematical programming
90C70 Fuzzy and other nonstochastic uncertainty mathematical programming
91A80 Applications of game theory
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