Abstract
The improvement of assembly line is a crucial issue for the mass production in factory, which can effectively increase the balancing rate of production line and overall equipment effectiveness (OEE) for product. Therefore, the improvement of assembly line plays an important role in the management and cost control of factories. In this paper, the process analysis method is adopted to analysis the assembly line to find the bottleneck process firstly. Furthermore, the content of the bottleneck process and the stations’ equipment are optimized to satisfy the requirements of Takt. Meanwhile, the occasional factors which cause to reduce the OEE are founded and corresponding work standards are established to eliminate these influences. The F factory example can verify that improvement of assembly line can effectively increase the OEE and reduce the operate time of bottleneck process. Finally, the improvement achieves the line balance in F factory.
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Battaïa, O., Dolgui, A.: A taxonomy of line balancing problems and their solution approaches (Periodical style). Int. J. Prod. Econ. 142(2), 259–277 (2013)
Kumar, N., Mahto, D.: Assembly line balancing: a review of developments and trends in approach to industrial application (Periodical style). Global J. Res. Eng. (2013)
Avikal, S., Jain, R., Mishra, P., Yadav, H.: A heuristic approach for U-shaped assembly line balancing to improve labor productivity (Periodical style). Comput. Ind. Eng. 64(4), 895–901 (2013)
Zha, J., Yu, J.-J.: A hybrid ant colony algorithm for U-line balancing and rebalancing in just-in-time production environment (Periodical style). J. Manuf. Syst. 33(1), 93–102 (2014)
Akpınar, S., Bayhan, G.M.: A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints (Periodical style). Eng. Appl. Artif. Intell. 24(3), 449–457 (2011)
Chutima, P., Chimklai, P.: Multi-objective two-sided mixed-model assembly line balancing using particle swarm optimisation with negative knowledge (Periodical style). Comput. Ind. Eng. 62(1), 39–55 (2012)
Rajput, H.S., Jayaswal, P.: A total productive maintenance (TPM) approach to improve overall equipment efficiency (Periodical style). Int. J. Modern Eng. Res. 2(6), 4383–4386 (2012)
Zuashkiani, A., Rahmandad, H., Jardine, A.K.: Mapping the dynamics of overall equipment effectiveness to enhance asset management practices (Periodical style). J. Qual. Maintenance Eng. 17(1), 74–92 (2011)
Puvanasvaran, P., Teoh, Y., Tay, C.: Consideration of demand rate in Overall Equipment Effectiveness (OEE) on equipment with constant process time (Periodical style). J. Ind. Eng. Manage. 6(2), 507–524 (2013)
Rashid, M.F.F., Hutabarat, W., Tiwari, A.: A review on assembly sequence planning and assembly line balancing optimisation using soft computing approaches (Periodical style). Int. J. Adv. Manuf. Technol. 59(1–4), 335–349 (2012)
Zupan, H., Herakovic, N.: Production line balancing with discrete event simulation: a case study (Periodical style). IFAC-PapersOnLine 48(3), 2305–2311 (2015)
Jevgeni, S., Eduard, S., Roman, Z.: Framework for continuous improvement of production processes and product throughput (Periodical style). Procedia Eng. 100, 511–519 (2015)
Tuncel, G., Aydin, D.: Two-sided assembly line balancing using teaching–learning based optimization algorithm (Periodical style). Comput. Ind. Eng. 74, 291–299 (2014)
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Zhao, M., Ma, Yh., Wang, Xc., Zhang, Yx., Xu, Rl. (2020). Improvement of M Assembly Line Based on Assembly Line Balancing and Overall Equipment Effectiveness. In: Chien, CF., Qi, E., Dou, R. (eds) IE&EM 2019. Springer, Singapore. https://doi.org/10.1007/978-981-15-4530-6_12
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DOI: https://doi.org/10.1007/978-981-15-4530-6_12
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