Affiliations: [a] College of Informatics, Huazhong Agricultural University, Wuhan, Hubei, China | [b] Faculty of Engineering and Computing, Coventry University, CV, UK | [c] School of Computer Science and Technology, Wuhan University, Wuhan, Hubei, China
Correspondence:
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Corresponding author: W.D. Li, Faculty of Engineering and Computing, Coventry University, CV1 5FB, UK. E-mail:[email protected]
Abstract: Process planning and scheduling are important stages in
manufacturing, and good strategies can significantly improve the energy
performance of manufacturing to achieve sustainability. In this paper, an
innovative optimization approach has been developed to facilitate
sustainable process planning and scheduling. In the approach, honey-bee
mating and annealing processes are simulated to optimize multi-objectives
including energy consumption, makespan and the balanced machine utilization.
Experiments on practical cases show that the optimization results from this
approach are promising in comparison with those from a genetic algorithm, a
honey bee mating optimization algorithm, ant colony optimization and a
simulated annealing algorithm, respectively.
