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Flowshop scheduling model for bespoke precast concrete production planning

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  • Vacharapoom Benjaoran
  • Nashwan Dawood
  • Brian Hobbs

Abstract

Bespoke precast concrete products are particularly designed and custom made for a construction project. The production planning of these products is complicated that considers important concerns, i.e. the reliability of the product delivery programme, the short lead-time competitiveness, and the effective utilization of purpose-built precast moulds. The planning has a high impact on the success of the production. The characteristics of the bespoke precast production are formulated with the flowshop scheduling technique so that an effective production plan can be arranged to meet these concerns. Genetic algorithm is used in the scheduling optimization. Its multi-objective function includes total flowtime, total machine idle time, and total tardiness and earliness. After the model formulation, sensitivity analyses are conducted on the three model's parameters namely the number of mould availability, the processing time changes, and the weighting of the multi-objective function. The proposed model is anticipated to support the planners to arrange economic and efficient production plans. Also, it can be used to determine the suitable number of moulds, the accuracy of the processing time estimation, and the weighting strategy of the multi-objective optimization.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:conmgt:v:23:y:2005:i:1:p:93-105
    DOI: 10.1080/0144619042000287732
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    References listed on IDEAS

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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. 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.

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