Feng, Cuiying; Ni, Ting; Li, Zongmin; Cai, Jianhu; Ma, Yanfang Conflict resolution towards an integrated project scheduling and material ordering system in a large-scale construction project. (English) Zbl 1477.90019 Appl. Comput. Math. 18, No. 2, 202-217 (2019). 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 Keywords:project scheduling problem; material ordering problem; Stackelberg game; bi-level multi-objective programming; particle swarm optimization; genetic algorithm PDFBibTeX XMLCite \textit{C. Feng} et al., Appl. Comput. Math. 18, No. 2, 202--217 (2019; Zbl 1477.90019) Full Text: Link