Abstract
Delivery of the prefabricated components may be disrupted by low productivity and various of traffic restrictions, thus delaying the prefabricated construction project. However, planning of the prefabricated component supply chain (PCSC) under disruptions has seldom been studied. This paper studies the construction schedule-dependent resilience for the PCSC plan by considering transportation costs and proposes a multi-objective optimization model. First, the PCSC planning problem regarding schedule-dependent resilience and resultant transportation cost is analyzed. Second, a quantification scheme of the schedule-dependent resilience of the PCSC plan is proposed. Third, formulation of the resilience-cost tradeoff optimization model for the PCSC planning is developed. Fourth, the multi-objective particle swarm optimization (MOPSO)-based method for solving the resilience-cost tradeoff model is presented. Finally, a case study is presented to demonstrate and justify the developed method. This study contributes to the knowledge and methodologies for PCSC management by addressing resilience at the planning stage.
Highlights
Prefabricated construction involves producing the components in an off-site factory, transporting them to the construction site and installing them according to design (Li et al, 2014)
Prior to developing the resilience-cost tradeoff based prefabricated component supply chain (PCSC) planning model, some assumptions are made as follows: (1) The disruption and resultant supply shortage on each node or edge in the transportation network of the PCSC are independent to each other; (2) Each type of prefabricated components needs to be transported to the construction site with several delivery batches according to the construction schedule, and each batch carries only one type of prefabricated components; (3) The transportation time of each delivery batch is dependent on transit nodes, transportation means and routes
In order to obtain the optimum PCSC plan with resilience-cost tradeoff problem, the disruptions are modeled by probabilities and simulated through the Monte Carlo simulation technique, which is incorporated into the multi-objective particle swarm optimization (MOPSO)-based method
Summary
Prefabricated construction involves producing the components in an off-site factory, transporting them to the construction site and installing them according to design (Li et al, 2014). Some traffic routes are unfeasible for some period of time due to traffic jam, uncertain restrictions These uncertainties or risks lead to disruptions or interruptions on the PCSC and delay delivery of the components to the construction site (Luo et al, 2019; Wang et al, 2017a). Some operational research methods and information technologies have been applied to evaluate and optimize supply chain resilience, such as Meta-Heuristic techniques (Torabi et al, 2015; Hackl et al, 2018), linear programming (Ratick et al, 2008), simulation (Colicchia et al, 2010; Francis & Bekera, 2014) and building information modeling (BIM) (Wang et al, 2017a) Most of these studies considered the resilience concept in the unimodal transportation network with risk of link failures (Peeta et al, 2010) and node failures (Peng et al, 2011; Snyder & Daskin, 2005), but rarely considered intermodal transportation network with alternative routes and traffic means between two nodes. An application study is presented to demonstrate and justify the proposed method in solving the resilience-cost tradeoff PCSC planning problem
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