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A unified framework for the selection of a Flexible Manufacturing System

机译:选择柔性制造系统的统一框架

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This research addresses the problem of selecting the most appropriate Flexible Manufacturing System (FMS) for a manufacturing organization. A unified framework is proposed to facilitate decision making in the design and planning stage. The recommended framework contains three individual modules: an Analytic Hierarchy Process (AHP), a simulation module, and an accounting procedure. These modules are unified through an efficiency measurement method called Data Envelopment Analysis (DEA). The AHP model examines the nonmonetary criteria associated with corporate goals and long-term objectives, while the simulation model is employed to analyze the tangible benefits. Both AHP and simulation models are used to generate the necessary outputs for the DEA, whereas the accounting procedure determines the required inputs, such as expenditures and resources, for realizing the potential benefits. After solving an original DEA, a modification of the DEA structure is found to be imperative, because inappropriate multipliers (weights) are assigned by the conventional use of DEA and multiple efficient Decision Making Units (DMUs) are identified in the DEA solution. By applying weight flexibility restriction and cross efficiency methods to rectify the difficulty, this study finally identifies the most efficient FMS system.
机译:这项研究解决了为制造组织选择最合适的柔性制造系统(FMS)的问题。提出了一个统一的框架,以促进设计和规划阶段的决策。推荐的框架包含三个单独的模块:一个层次分析过程(AHP),一个模拟模块和一个会计程序。这些模块通过一种称为数据包络分析(DEA)的效率测量方法进行了统一。 AHP模型检查与公司目标和长期目标相关的非货币标准,而模拟模型则用于分析有形收益。层次分析法和模拟模型均用于生成DEA的必要输出,而会计程序确定所需的输入,例如支出和资源,以实现潜在收益。在解决原始DEA之后,必须对DEA结构进行修改,因为常规的DEA使用会分配不适当的乘数(权重),并且在DEA解决方案中会识别出多个有效的决策单元(DMU)。通过应用重量灵活性限制和交叉效率方法来纠正困难,本研究最终确定了最有效的FMS系统。

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