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- W3176190074 abstract "Since the storage space for materials is often limited in reality in many construction sites, a bi-objective optimization model for the project scheduling and material ordering problem (PSMOP) with limited storage space is proposed in this paper. The model is able to determine the activity schedule and the material ordering time and quantity through minimizing the makespan of the project and the corresponding costs including the material inventory cost, the ordering cost and the indirect cost. The presented model is NP-hard, so the non-dominated sorting genetic algorithm (NSGA-II), tuned by the Taguchi method, is suggested to serve as the solution methodology. Furthermore, after the validation of efficiency and convergence of the NSGA-II, computational experiments are conducted to demonstrate the effects of the unit cost and the storage space on the Pareto frontier." @default.
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- W3176190074 date "2021-09-01" @default.
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- W3176190074 title "Project scheduling and material ordering problem with storage space constraints" @default.
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- W3176190074 doi "https://doi.org/10.1016/j.autcon.2021.103796" @default.
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