2021
DOI: 10.1016/j.cie.2021.107316
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Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction

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Cited by 48 publications
(15 citation statements)
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“…eir method helps a device obtain accurate answers to the problem, and a hybrid approach and genetic algorithm are used. Yuan et al [18] modeled a multiobjective project scheduling problem with fuzzy activities. e proposed interval values are considered of execution time for activities as fuzzy theory.…”
Section: Literature Reviewmentioning
confidence: 99%
See 2 more Smart Citations
“…eir method helps a device obtain accurate answers to the problem, and a hybrid approach and genetic algorithm are used. Yuan et al [18] modeled a multiobjective project scheduling problem with fuzzy activities. e proposed interval values are considered of execution time for activities as fuzzy theory.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Constraint (17) represents the project's total cost, which is the sum of the costs of renewable and nonrenewable resources. Constraint (18) indicates the total reliability of the project; for example, the reliability of a renewable resource is obtained from the probability of its accessibility at time 1, . .…”
Section: Parametersmentioning
confidence: 99%
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“…Yuan et al [15] formulated a multi-objective multi-mode mathematical model for resource-constrained project scheduling (RCPS) with prefabricated building (PB) construction. Multiple modes and uncertain in execution activity duration were considered.…”
Section: A Constrained Resourcesmentioning
confidence: 99%
“…Furthermore, problems, such as a large number of stakeholders, including designers, clients, contractors, transporters, involved in the supply chains of prefabricated building projects and the complex distributed supply chain models, make the prefabrication building construction projects impossible to be managed without considering multi-stage cooperation and objectives simultaneously Yuan et al, 2021). (Naji et al, 2021)…”
Section: Prefabrication and Supply Chainmentioning
confidence: 99%