2017
DOI: 10.1016/j.autcon.2017.03.016
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Optimal single-machine batch scheduling for the manufacture, transportation and JIT assembly of precast construction with changeover costs within due dates

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Cited by 56 publications
(25 citation statements)
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“…Research has been focusing on the workflow from manufacturing in factory, transportation, to site assembly for OSC projects. Inefficient use of resources and delayed delivery have been an issue in prefabricated construction (Kong et al, 2017). Methods such as the application of simulations, computational algorithms and programming to optimise the production and delivery efficiency have been considered as effective approaches in research (Shewchuk and Guo, 2012;Arashpour et al, 2016;Kong et al, 2017;Mitterhofer et al, 2017).…”
Section: Managerial and Technical Issues In Osc Implementationmentioning
confidence: 99%
“…Research has been focusing on the workflow from manufacturing in factory, transportation, to site assembly for OSC projects. Inefficient use of resources and delayed delivery have been an issue in prefabricated construction (Kong et al, 2017). Methods such as the application of simulations, computational algorithms and programming to optimise the production and delivery efficiency have been considered as effective approaches in research (Shewchuk and Guo, 2012;Arashpour et al, 2016;Kong et al, 2017;Mitterhofer et al, 2017).…”
Section: Managerial and Technical Issues In Osc Implementationmentioning
confidence: 99%
“…Several models have been proposed in terms of improving deliveries of precast concrete, e.g. optimizing batch deliveries for precast concrete using just-in-time (JIT) management approach [36], modelling the manufacture, transportation and onsite assembly of the precast concrete as a whole process from the point of view of a single machine batchscheduling model to improve the efficiency of the precast concrete production [37].…”
Section: Discussionmentioning
confidence: 99%
“…Much of the research is based on the China case. (2) PC supply chain process design and optimization (green nodes): focus on the modeling and simulation [53] of the four main parts of PCSCM: ordering [54], manufacturing [55], transportation and installation [56]. Genetic algorithm is the most commonly used algorithm.…”
Section: Abstract Co-occurrence Experimentsmentioning
confidence: 99%