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Improved design of CMS by considering operators decision-making styles

机译:通过考虑运营商的决策风格来改进CMS的设计

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Cell formation is one of the oldest problems in cellular manufacturing systems (CMS) including assigning parts, machines and operators to cells. Cell manufacturing contains a number of cells where each cell is responsible for processing the family of similar parts. Another important aspect of cell formation is worker assignment to cells. Since operators work together in long periods, it is suggested to consider operators' personal characteristics to increase their satisfaction and the productivity of system. This paper considers decision-making styles of operators (as an index of operator's personal characteristics) and presents a new mathematical programming model for clustering parts, machines and workers simultaneously. The model includes two objectives; (1) minimization of intracellular movements and cell establishment costs, (2) minimization of decision-making style inconsistency among operators in each cell. The paper applies epsilon-constraint method for solving the problem and gathering non-dominated solutions such as Pareto optimal solutions. Furthermore, this paper uses common weighted multicriteria decision analysis (MCDA)-data envelopment analysis method to choose the best solution from the candidate Pareto optimal solutions that have been achieved by solving the mathematical model. A real case study is investigated to show the capability of the proposed model to design CMS in the assembly unit. The proposed design assists decision-makers to develop cellular systems with more operators' satisfaction and productivity.
机译:细胞形成是细胞制造系统(CMS)中最古老的问题之一,包括为细胞分配零件,机器和操作员。单元制造包含许多单元,每个单元负责处理相似零件族。细胞形成的另一个重要方面是工人对细胞的分配。由于运营商需要长期合作,因此建议考虑运营商的个人特征,以提高其满意度和系统的生产率。本文考虑了操作员的决策风格(作为操作员个人特征的指标),并提出了一种同时对零件,机器和工人进行聚类的新的数学编程模型。该模型包括两个目标; (1)最小化细胞内移动和细胞建立成本,(2)最小化每个细胞中操作员之间的决策风格不一致。本文采用ε约束方法来解决该问题并收集非支配解,如帕累托最优解。此外,本文使用通用加权多准则决策分析(MCDA)-数据包络分析方法从通过求解数学模型获得的候选帕累托最优解中选择最佳解。进行了一个实际案例研究,以显示提出的模型在组装单元中设计CMS的能力。拟议的设计有助于决策者开发具有更高运营商满意度和生产率的蜂窝系统。

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