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Reliability Consideration in the Design of Cellular Manufacturing Systems using Genetic Algorithm.

机译：使用遗传算法的蜂窝制造系统设计中的可靠性考虑。

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摘要

This thesis proposes a multi-objective, mixed integer, non-linear programming model of cellular manufacturing systems (CMS) design to maximize the system reliability and minimize the total system cost simultaneously. The model involves multiple machine types, multiple machines for each machine type, multiple part types, and alternative process routes for each part type. Each process route consists of a sequence of operations. System reliability associated with machines along process routes can be improved by increasing the number of parallel machines subject to acceptable cost. Assuming machine reliability to follow a lognormal distribution, the CMS design problem is to optimally decide the number of each machine type, assign machines to cells, and select, for each part type, the process route with the highest overall system reliability while minimizing the total cost. The total cost consists of the variable cost of manufacturing operations, the inter-cell material handling cost, the penalty cost of machine under-utilization, and machine annuity cost. Genetic algorithm (GA) is proposed as the solution procedure, and is applied to solve this practical-sized CMS design problem. It is shown that, with its characteristics of random selection, crossover, and mutation, GA is capable of finding a heuristic solution within a reasonable amount of computational time.
机译：本文提出了一种蜂窝制造系统（CMS）设计的多目标，混合整数，非线性规划模型，以最大程度地提高系统可靠性，同时最大程度地降低总系统成本。该模型涉及多种机器类型，每种机器类型有多台机器，多种零件类型以及每种零件类型的替代工艺路线。每个过程路径都包含一系列操作。可以通过增加并行机器的数量（受可接受的成本影响）来提高与沿着工艺路线的机器相关的系统可靠性。假设机器可靠性遵循对数正态分布，则CMS设计问题是最优地确定每种机器类型的数量，将机器分配给单元，并为每种零件类型选择具有最高整体系统可靠性的工艺路线，同时将总系统可靠性降至最低。成本。总成本包括制造操作的可变成本，电池间材料处理成本，机器使用不足的罚款成本以及机器年金成本。提出了遗传算法（GA）作为求解过程，并将其应用于解决此实际规模的CMS设计问题。结果表明，GA具有随机选择，交叉和变异的特征，能够在合理的计算时间内找到启发式解决方案。

著录项

  • 作者

    Wang, Xiao.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Industrial engineering.
  • 学位 M.Appl.Sc.
  • 年度 2009
  • 页码 64 p.
  • 总页数 64
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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