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Layout Optimization Model for the Production Planning of Precast Concrete Building Components

Author

Listed:
  • Dong Wang

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400044, China)

  • Guiwen Liu

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400044, China)

  • Kaijian Li

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400044, China
    Postdoctoral Station of Urban and Rural Planning, Chongqing University, Chongqing 400044, China)

  • Tongjing Wang

    (Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 20092, China)

  • Asheem Shrestha

    (School of Architecture and Construction Management, Deakin University, Geelong, VIC 3220, Australia)

  • Igor Martek

    (School of Architecture and Construction Management, Deakin University, Geelong, VIC 3220, Australia)

  • Xiaobo Tao

    (School of Economics and Management, North China University of Technology, Beijing 100144, China)

Abstract

Precast concrete comprises the basic components of modular buildings. The efficiency of precast concrete building component production directly impacts the construction time and cost. In the processes of precast component production, mold setting has a significant influence on the production efficiency and cost, as well as reducing the resource consumption. However, the development of mold setting plans is left to the experience of production staff, with outcomes dependent on the quality of human skill and experience available. This can result in sub-optimal production efficiencies and resource wastage. Accordingly, in order to improve the efficiency of precast component production, this paper proposes an optimization model able to maximize the average utilization rate of pallets used during the molding process. The constraints considered were the order demand, the size of the pallet, layout methods, and the positional relationship of components. A heuristic algorithm was used to identify optimization solutions provided by the model. Through empirical analysis, and as exemplified in the case study, this research is significant in offering a prefabrication production planning model which improves pallet utilization rates, shortens component production time, reduces production costs, and improves the resource utilization. The results clearly demonstrate that the proposed method can facilitate the precast production plan providing strong practical implications for production planners.

Suggested Citation

  • Dong Wang & Guiwen Liu & Kaijian Li & Tongjing Wang & Asheem Shrestha & Igor Martek & Xiaobo Tao, 2018. "Layout Optimization Model for the Production Planning of Precast Concrete Building Components," Sustainability, MDPI, vol. 10(6), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1807-:d:149784
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    References listed on IDEAS

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    1. Vacharapoom Benjaoran & Nashwan Dawood & Brian Hobbs, 2005. "Flowshop scheduling model for bespoke precast concrete production planning," Construction Management and Economics, Taylor & Francis Journals, vol. 23(1), pages 93-105.
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    Cited by:

    1. Kennedy A. G. Araújo & Tibérius O. Bonates & Bruno A. Prata & Anselmo R. Pitombeira-Neto, 2021. "Heterogeneous prestressed precast beams multiperiod production planning problem: modeling and solution methods," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 660-693, October.
    2. Alasdair Reid, 2023. "Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    3. Daniel Wałach & Aleksandra Mach, 2023. "Effect of Concrete Mix Composition on Greenhouse Gas Emissions over the Full Life Cycle of a Structure," Energies, MDPI, vol. 16(7), pages 1-20, April.

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    1. Kennedy A. G. Araújo & Tibérius O. Bonates & Bruno A. Prata & Anselmo R. Pitombeira-Neto, 2021. "Heterogeneous prestressed precast beams multiperiod production planning problem: modeling and solution methods," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 660-693, October.

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