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Layout Optimization of Factory A Based on SLP-Whale Algorithm

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

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  • QiWei Li

    (Liaoning University of Engineering and Technology, College of Business Administration)

Abstract

In this paper, SLP method is used to improve the layout of a company’s box processing workshop facilities. Firstly, work units are divided through the collected basic data, and then the logistics and non-logistics relations between each work unit are analyzed and integrated to obtain comprehensive mutual relations, and the location correlation diagram of SLP method is obtained. Then, the mathematical model of workshop facility layout is built on the basis of SLP method. Taking the minimization of handling cost, the maximization of comprehensive logistics relationship and the minimization of reconstruction cost as constraint objectives, the layout scheme is obtained by using the improved whale algorithm. Finally, by comparing with the traditional system layout design method, it is concluded that the optimization scheme of the improved whale algorithm is more reasonable. The results show that the layout method combined with improved whale algorithm can effectively solve the workshop layout problem, help a company reduce the workshop handling cost, strengthen the close relationship between operating units, improve the workshop production efficiency, and at the same time, the layout optimization method combined with improved whale algorithm can be effectively implemented in the workshop layout. Solving layout planning problems for other manufacturing enterprises also has reference significance.

Suggested Citation

  • QiWei Li, 2024. "Layout Optimization of Factory A Based on SLP-Whale Algorithm," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 603-615, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_62
    DOI: 10.2991/978-94-6463-256-9_62
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