Abstract
As the conveniences of life increase, the pressures exerted on the environment also increase. Therefore, many environmental protection workshops strive to produce environmentally friendly products. Generally, to obtain low logistics transportation volume and a small workshop floor space, some meta-heuristic algorithms have generally been used to quickly arrange an environmentally friendly production workshop. Thus, this paper studies a facility layout design (FLD) that can reduce the total production cost of an environmental protection workshop. Firstly, this paper proposes to integrate the handling routes and information features of multiple transportation modes including Conveyor Belt, Automatic Guided Vehicles (AGVs) and other transportation equipment into the general plant layout planning model. This scheme can effectively avoid equipment handling and waste of workshop resources in the later stage. Furthermore, a PSO–GWO hybrid optimization meta-heuristic algorithm is proposed to solve the model in this paper. By comparing the optimization results of several meta-heuristic algorithms, which include PSO, GWO, and improved PSO, it is shown that the algorithm of this paper can effectively avoid premature convergence, jump out of a local optimum and expand the search space to obtain a better layout solution. Finally, the simulation results are obtained through the FLEXSIM layout simulation model, which proves that the model considering multiple transportation modes and the application of this hybrid algorithm can obtain better layout results. Therefore, this study proves the feasibility and progress of the scheme obtained by the model and algorithm in this paper. In addition, the method proposed in this paper may also provide a good layout plan for production workshops of other sizes.
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Funding
This work was funded by Natural Science Foundation of Guangxi Province to Junyan Ma with grant number 2018GXNSFAA138158.
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Ma, J., Han, Z., Deng, Q. et al. New hybrid algorithm combining multiple transportation modes for an environmental protection workshop layout. J Ambient Intell Human Comput 14, 14189–14208 (2023). https://doi.org/10.1007/s12652-023-04655-0
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DOI: https://doi.org/10.1007/s12652-023-04655-0