Site layout planning for prefabricated components subject to dynamic and interactive constraints

• Published in: Automation in construction Vol. 126; p. 103693
• Main Authors: Zhang, Hong, Yu, Lu
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.06.2021; Elsevier BV
• Subjects: Algorithms; Dynamic component site layout; Layouts; Mathematical analysis; Mathematical model; Mathematical models; Multi-phase layout; Multiphase; Optimization; Particle swarm optimization; Particle swarm optimization (PSO); Prefabricated construction; Prefabrication; Schedules; Prefabricated construction; Dynamic component site layout; Mathematical model; Particle swarm optimization (PSO); Multi-phase layout
• ISSN: 0926-5805; 1872-7891
• DOI: 10.1016/j.autcon.2021.103693

The component site layout for the prefabricated construction subject to constraints such as site constraints, component constraints, construction schedule and component arrival schedule that may change over time and interact has seldom been studied. This study is aimed to solve the dynamic prefabricated component site layout problem (DPCSLP) subject to the above constraints. Based on analyses on the DPCSLP concerning the dynamic and interactive constraints, multi-phase layout, and dynamic allocation of yard locations, a mathematical model for the DPCSLP is proposed. Then the particle swarm optimization (PSO)-based solving algorithm regarding DPCSLP mapping and optimization framework incorporated with multi-phase layout and two-step optimization is developed. A case study is presented to demonstrate and justify the developed method. This study contributes to the domain knowledge for solving the DPCSLP regarding the mathematical model and the PSO-based algorithm as well as reducing project duration of the prefabricated construction by enhancing site coordination. •A dynamic optimization model is proposed for prefabricated component site layout problem.•A particle swarm optimization-based solving algorithm is developed for the model.•A case study is presented to demonstrate and justify the proposed method.•It gives shorter construction duration by the dynamic optimization than other methods.