Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85351
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dc.contributor.authorCai, Yiyuen_US
dc.contributor.authorChen, Chenen_US
dc.contributor.authorTran Huy, Ducen_US
dc.contributor.authorTiong, Lee Kongen_US
dc.contributor.authorChen, I-Mingen_US
dc.date.accessioned2019-06-28T05:11:50Zen
dc.date.accessioned2019-12-06T16:02:13Z-
dc.date.available2019-06-28T05:11:50Zen
dc.date.available2019-12-06T16:02:13Z-
dc.date.copyright2019en
dc.date.issued2019-
dc.identifier.citationChen, C., Tran Huy, D., Tiong, L. K., Chen, I.-M., & Cai, Y. (2019). Optimal facility layout planning for AGV-based modular prefabricated manufacturing system. Automation in Construction, 98310-321. doi:10.1016/j.autcon.2018.08.008en_US
dc.identifier.issn0926-5805en_US
dc.identifier.urihttps://hdl.handle.net/10356/85351-
dc.description.abstractCross-industry learning of the Toyota production system has inspired the precast factories in the construction industry to adopt an automated guided vehicle (AGV)-based flow production system for the manufacturing of their modular prefabricated products. Compared to the production process of automobiles, the manufacturing process of modular prefabricated products is very unbalanced leading to a large pool of queues. And additionally, after some operations, settling is needed. Hence, due to these unique features, facility layout is a crucial element that needs to be well planned in order to achieve a feasible and efficient system. In this regard, this paper proposes an approach to plan the facility layout of the investigated AGV-based modular prefabricated manufacturing system. The paper firstly gives an optimization method for the size arrangement of the workstation area and the storage area. There are two conflicting objectives in the optimization model: one is to minimize the production time and the other is to maximize the workstation utilization. A simulation based non-dominated sorting genetic algorithm is developed to solve the model. Then, the paper proposes a heuristic method to guide the placement, reshuffle, and retrieval of the modular prefabricated products in the storage area. According to the heuristic, there is no need of dedicated paths for AGVs. The storage area can be fully occupied by the work-in-progress and the AGV traveling paths are dynamically generated. And thirdly, the paper is also able to provide a suitable size of the AGV fleet which is able to accomplish the moving tasks in time. The experimental test on an industrial case shows the potential of the proposed planning approach to guide the real practice.en_US
dc.format.extent22 p.en
dc.language.isoenen_US
dc.relation.ispartofAutomation in Constructionen_US
dc.rights© 2019 Elsevier. All rights reserved. This paper was published in Automation in Construction and is made available with permission of Elsevier.en_US
dc.subjectFacility Layouten_US
dc.subjectModular Prefabricated Manufacturingen_US
dc.subjectEngineering::Civil engineeringen_US
dc.titleOptimal facility layout planning for AGV-based modular prefabricated manufacturing systemen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi213590-
dc.identifier.doi10.1016/j.autcon.2018.08.008-
dc.identifier.doi213590-
dc.description.versionAccepted versionen_US
dc.identifier.rims213590en
item.fulltextWith Fulltext-
item.grantfulltextopen-
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