Lean tool selection in a die casting unit: a fuzzy-based decision support heuristic

Lean tool selection in a die casting unit: a fuzzy-based decision support heuristic
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压铸单元中的精益工具选择:基于模糊的决策支持启发式

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发表时间:
2006
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通讯作者:
Manoj Kumar Tiwari
Manoj Kumar Tiwari
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文献类型:
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作者:
Ritesh Kumar Singh;Surender Kumar;A. Choudhury;Manoj Kumar Tiwari

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精益生产理念要求通过关注产品价值流,消除制造系统中隐藏的浪费,并通过持续改进努力消除非增值活动。价值流映射方法遵循持续改进的原则,以提高过程的生产率和产品的质量。它为数据收集和分析提供了各种工具,并确定在制造过程的不同阶段发生的浪费。价值流图在确定和随后减少浪费方面的作用非常重要。选择详细的测绘工具进行微观层面的废物识别是一个复杂的决策问题。本文以某压铸单位为例进行了研究。与决策问题相关的层次结构已经被开发出来以选择价值流映射工具。本文提出了一种基于模糊逻辑的多偏好、多准则、多人决策启发式方法来解决上述案例研究中的问题。所提出的方法得到了现有决策工具的逻辑支持,并有针对性地映射了潜在问题的内部细节。
Lean manufacturing philosophy asks for elimination of wastes hidden in the manufacturing system by focusing on product value stream and eliminating non-value adding activities through continuous improvement efforts. Value stream mapping methodology is subjected to principles of continuous improvement in order to improve the productivity of the process and quality of the product. It provides various tools for data collection and analysis, and identifies the wastes occurring in different stages of manufacturing process. The role of value stream mapping is very important in the identification and subsequently reduction of the wastes. To select the detailed mapping tools for the identification of waste at micro level is a complex decision making problem. In this paper, a case study related to a die casting unit has been taken. A hierarchy related to the decision problem has been developed to select the value stream mapping tools. Here, a fuzzy logic based multi-preference, multi-criteria, and multi-person decision making heuristic has been developed to solve a problem pertaining to above case study. The proposed methodology enjoys logical support from existing decision making tools and pertinently maps the inside details of the underlying problem.