ENGINEERING CELLULAR HARMONY: A COMPREHENSIVE LITERATURE REVIEW ON CELL PRODUCTION SYSTEM DESIGN
Mehrnaz Nozari , Faculty Member of Academic Center for Education, Culture and Research (ACECR), Tabriz, Iran Hamed Nahr , Researcher of Department of Industrial Engineering, Karaj Branch,University of Karaj, Karaj, IranAbstract
This literature review delves into the intricate domain of cell production system design, offering a comprehensive exploration of the methodologies, technologies, and advancements that contribute to engineering cellular harmony. The study synthesizes key findings from a broad spectrum of research, providing insights into the diverse strategies employed in designing cell production systems. By analyzing current trends, challenges, and future directions, this review aims to guide researchers, engineers, and practitioners in advancing the field of cell production system design.
Keywords
Cell production, system design, tissue engineering
References
Negahban, A., & Smith, J. S. (2014). Simulation for manufacturing system design and operation: Literature review and analysis. Journal of Manufacturing Systems, 33(2), 241-261.
Askin, R. G. (2013). Contributions to the design and analysis of cellular manufacturing systems. International Journal of Production Research, 51(23-24), 6778-6787.
Nouri, H. A., Leman, Z., Moghadam, H. P., & Sulaiman, R. (2014). Literature review on machine reliability in cellular manufacturing system. Am J Appl Sci, 11(12), 1964-1968.
Wu, L., Zhao, Y., Feng, Y., Niu, B., & Xu, X. (2021). Minimizing makespan of stochastic customer orders in cellular manufacturing systems with parallel machines.Computers & Operations Research,125, 105101.
Zhao, Y., Xu, X., & Li, H. (2018). Minimizing expected cycle time of stochastic customer orders through bounded multi-fidelity simulations. IEEE Transactions on Automation Science and Engineering, 15(4), 1797-1809.
Nasiri, M. M., & Naseri, F. (2019). Metaheuristic algorithms for the generalised cell formation problem considering machine reliability. International Journal of Process Management and Benchmarking, 9(4), 469-484.
7. Zhao, Y., Xu, X., Li, H., & Liu, Y. (2018). Stochastic customer order scheduling with setup times to minimize expected cycle time. International Journal of Production Research, 56(7), 2684-2706.
Chen, J., Wang, M., Kong, X. T., Huang, G. Q., Dai, Q., & Shi, G. (2019). Manufacturing synchronization in a hybrid flowshop with dynamic order arrivals. Journal of Intelligent Manufacturing, 30(7), 2659-2668.
Aalaei, A., Kayvanfar, V., & Davoudpour, H. (2019). Integrating multi-dynamic virtual cellular manufacturing systems into multi-market allocation and production planning. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 233(2), 643-664.
Xue, G., & Offodile, O. F. (2020). Integrated optimization of dynamic cell formation and hierarchical production planning problems. Computers & Industrial Engineering, 139, 106155.
Article Statistics
Copyright License
Copyright (c) 2024 Mehrnaz Nozari, Hamed Nahr
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.