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首页> 外文期刊>European Journal of Industrial Engineering >Investigating the performance improvement by conversion of assembly line configuration to a pure cell system in manufacturing industry
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Investigating the performance improvement by conversion of assembly line configuration to a pure cell system in manufacturing industry

机译:通过将装配线配置转换为制造业纯细胞系统来调查性能提高

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摘要

Seru production systems implement reconfiguration of traditional assembly lines to a flexible cell system that aim at reducing the required workforce while at the same time augmenting the productivity manifold. For evaluating the overall performance improvement, cell formatting and assigning workers to serus takes form of a complicated decision problem. In this paper, with the objective of reducing the total cost for training the worker, minimising the processing time and the total throughput time, mathematical insights on the solution space of a multi-objective line-cell conversion model are identified, in turn proving it to be an NP-hard model. By applying the proposed heuristic algorithm on several numerical simulations, a Pareto-optimal solution of this multi-objective model is obtained. With experimental results and comparative studies, the proposed approach proves its effectiveness that may lead to further improvement in seru production systems competitive advantage to cope with fluctuating market demands by enhancing the flexibility as well as the efficiency of the system. [Submitted: 18 June 2016; Revised 29: August 2017; Revised: 25 August 2018; Revised: 5 December 2018; Accepted: 8 January 2019]
机译:Seru生产系统将传统装配线的重新配置到一个灵活的电池系统,该系统旨在减少所需的员工,同时同时增强生产率歧管。为了评估整体性能改进,细胞格式化和将工人分配给Serus采用复杂的决策问题。在本文中,目的是降低工作人员的总成本,最小化处理时间和总吞吐时间,确定了对多目标线 - 小区转换模型的解决方案的数学见解,反过来证明它成为一个np-hard模型。通过在几个数值模拟上应用所提出的启发式算法,获得了该多目标模型的帕累托最优解。通过实验结果和比较研究,提出的方法证明了其有效性,可能导致Seru生产系统竞争优势进一步改善,以应对强大的市场需求,通过提高系统的灵活性以及系统的效率。 [提交:2016年6月18日;修订29:2017年8月;修订:2018年8月25日;修订:2018年12月5日;接受:2019年1月8日]

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