Abstract
The article puts forward the new layout methodology of the multi-floor linear cellular manufacturing layout. The proposed equipment layout methodology not just breaks the conventional single-floor linear cellular manufacturing layout but also meets the layout requirements of the intelligent manufacturing workshop for the stereoscopic aisle manufacturing cell. The layout methodology takes into account the least space occupation as well as the shortest total distance of logistics as the objective function, besides considering the limitations that exist between the equipment, different planes, different levels, and so on; also, a mathematical model is put forward. The multi-floor linear cellular manufacturing layout is solved based on the self-adapting multi-objective fruit fly optimization algorithm that refers to an algorithm combining fruit fly optimization algorithm and NSGA-II. Self-adapting multi-objective fruit fly optimization algorithm makes use of the fast nondominated sorting for the multi-target food concentration calculation, together with designing the adaptive olfactory search and visual search, and employing the perturbation operations for flight strategies, aimed at ensuring the population diversity. Simulation cases suggest that self-adapting multi-objective fruit fly optimization algorithm has stronger advantages as compared with multi-objective fruit fly algorithm and elitist non-dominated sorting genetic algorithm (NSGA-II) in the solution of multi-floor linear cellular manufacturing layout problems. The final engineering case application sheds light on the fact that multi-floor linear cellular manufacturing layout saves 57.6% of the area, in addition to 23.7% of space, and 29.2% of the handling distance as compared with single-floor linear cellular manufacturing layout. Accordingly, multi-floor linear cellular manufacturing layout has a specific reference value in the layout of facilities in the intelligent manufacturing plants.
Highlights
Cell manufacturing system (CMS) refers to a novel manufacturing strategy, which is based on the concept of group technology
Husamettin and Ramazan[7] investigated the cell layout issue of a multistage dynamic CMS, together with solving it with the use of a hybrid solution methodology integrated into linear programming
This research is mainly oriented at the workshop with intelligent logistics system and the transport mainly relies on automated facilities, so the weight of materials has little effect on transport
Summary
Cell manufacturing system (CMS) refers to a novel manufacturing strategy, which is based on the concept of group technology. In accordance with the traditional SLCML, the present article puts forward a multi-floor linear cellular manufacturing layout (MLCML), together with building a mathematical model, exploring a solution algorithm, and providing a specific reference for the workshop layout of intelligent manufacturing. Intricate logistics in accordance with the processing process path In this intricate handling scenario, the aggregate handling capacity requires minimization, and in the meantime, the layout of the facility figures out the overall footprint of the multi-floor linear cellular manufacturing, and the minimum total occupied workshop space is needed. This problem refers to an intricate multiobjective problem. It is 1 if parallel and 0 otherwise. fij: The 0–1 variable, suggesting whether device i and device j are in the same plane; if yes, go to 1, otherwise 0
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