Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0045-7949(01)00036-0
Title: An application of genetic algorithms to precast production scheduling
Authors: Chan, W.-T. 
Hu, H.
Keywords: Genetic algorithms
Optimisation
Planning and scheduling
Precast production
Issue Date: Jul-2001
Source: Chan, W.-T., Hu, H. (2001-07). An application of genetic algorithms to precast production scheduling. Computers and Structures 79 (17) : 1605-1616. ScholarBank@NUS Repository. https://doi.org/10.1016/S0045-7949(01)00036-0
Abstract: There are two alternatives for production organisation in precast factories, namely the comprehensive method and the specialised method. Production scheduling under the specialised alternative has been found to be a difficult optimisation problem if heterogeneous elements are involved. A flow shop sequencing model is developed for this kind of production scheduling that considers the constraints encountered in actual practice. The model is optimised using a genetic algorithm (GA) approach. The results are compared with those obtained using classical heuristic rules in two examples that involve the objective of minimising the makespan or the total tardiness penalty. The comparison shows that the GA can obtain good schedules for the model, giving a family of solutions that are at least as good as those produced by the heuristic rules. © 2001 Civil-Comp Ltd. and Elsevier Science Ltd. All rights reserved.
Source Title: Computers and Structures
URI: http://scholarbank.nus.edu.sg/handle/10635/65114
ISSN: 00457949
DOI: 10.1016/S0045-7949(01)00036-0
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