Conflict resolution towards an integrated project scheduling and material ordering system in a large-scale construction project. (English) Zbl 07139896

Feng, Cuiying; Ni, Ting; Li, Zongmin; Cai, Jianhu; Ma, Yanfang

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:

03C98	Applications of model theory
68U35	Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.)
90B50	Management decision making, including multiple objectives
91A80	Applications of game theory

Keywords:

project scheduling problem; material ordering problem; Stackelberg game; bi-level multi-objective programming; particle swarm optimization; genetic algorithm