Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments
Fuzzy multi-criteria decision-making procedure for evaluating advanced manufacturing system investments
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DOI：
10.1016/s0925-5273(00)00081-5
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发表时间：
2001-01
影响因子：
12
通讯作者：
E. Karsak;E. Tolga
中科院分区：
文献类型：
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作者：
E. Karsak;E. Tolga
提出了一种模糊决策算法，从互斥方案中选择最合适的先进制造系统方案。选择时既考虑经济评价标准，也考虑灵活性、质量改进等非定量的战略评价标准。使用模糊贴现现金流分析解决了AMS选择过程的经济方面。该决策算法综合专家对经济和战略标准权重的偏好评分，以及AMS投资方案与选择标准的适宜性，计算模糊适宜性指数。然后用模糊指数对AMS投资方案进行排序。在整个分析中使用三角模糊数来量化财务估计中固有的模糊性，例如定期现金流量，利率和通货膨胀率，专家对战略证明标准的语言评估以及每个标准的重要性权重。给出了一个全面的数值算例来说明分析结果。
In this paper, a fuzzy decision algorithm is proposed to select the most suitable advanced manufacturing system (AMS) alternative from a set of mutually exclusive alternatives. Both economic evaluation criterion and strategic criteria such as flexibility, quality improvement, which are not quantitative in nature, are considered for selection. The economic aspects of the AMS selection process are addressed using the fuzzy discounted cash flow analysis. The decision algorithm aggregates the experts’ preference ratings for the economic and strategic criteria weights, and the suitability of AMS investment alternatives versus the selection criteria to calculate fuzzy suitability indices. The fuzzy indices are then used to rank the AMS investment alternatives. Triangular fuzzy numbers are used throughout the analysis to quantify the vagueness inherent in the financial estimates such as periodic cash flows, interest rate and inflation rates, experts’ linguistic assessments for strategic justification criteria, and importance weight of each criterion. A comprehensive numerical example is provided to illustrate the results of the analysis.