供应商组合选择的改进promethev方法

IF 0.8 Q4 ENGINEERING, INDUSTRIAL Acta Logistica Pub Date : 2022-09-30 DOI:10.22306/al.v9i3.310
F. Zapletal, Rijad Trumic, R. Lenort
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引用次数: 0

摘要

本文主要研究供应商组合选择问题,即公司必须在各种约束条件下选择尽可能好的供应商集合。直观的启发式方法可以建议使用任何一种方法对供应商进行排名,然后将第一种方法放入投资组合中。如果不满足某些所需的约束,则根据排名添加第二个供应商,以此类推,直到满足所有约束。然而,这种方法可能导致非最优决策。从可行性的角度来看,这些限制可能会导致排名较低的备选方案的组合比排名较高的备选方案更好。为了建立优化模型,本文作者使用了PROMETHEE V方法:多准则决策方法PROMETHEE和混合整数规划的流行组合。然而,研究表明,原始的PROMETHEE V方法,即设置目标函数的逻辑,在这里是不合适的,并导致对排名较差的供应商的歧视。因此,本文提出了一种更合理的修正方案。通过一个数值例子来表明所提出的方法的适用性,并将结果与原始算法以及其他作者过去引入的一个先前修改进行比较。通过使用灵活的参数编程进行彻底的灵敏度分析,进一步支持了该分析。
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MODIFIED PROMETHEE V METHOD FOR SUPPLIER PORTFOLIO SELECTION
This paper focuses on the problem of supplier portfolio selection where a company has to choose the best possible set of suppliers with respect to various constraints. An intuitive heuristic can suggest to use any of the methods for suppliers ranking and then to put the first one into the portfolio. If some required constraint is not met, then the second supplier according to the ranking is added, and so on, until all the constraints are satisfied. However, such approach can result in a non-optimal decision. The constraints can cause that a combination of the alternatives with lower rankings can be better, than some higher-ranked alternative from the perspective of feasibility. To build the optimization model, the authors of this paper use the PROMETHEE V method: a popular combination of multi-criteria decision making method PROMETHEE and mixed integer programming. However, it is shown that the original PROMETHEE V method, namely the logic under which an objective function is set, is not suitable here and leads to discrimination of suppliers with worse ranking. Therefore, a modification, which brings more reasonable results, is proposed in this paper. A numerical example is used to show the suitability of the proposed approach and compare the results with the original algorithm and also with one prior modification introduced by by other authors in the past. The analysis is further supported by a thorough sensitivity analysis using flexible and parametric programming.
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来源期刊
Acta Logistica
Acta Logistica Engineering-Industrial and Manufacturing Engineering
CiteScore
1.80
自引率
28.60%
发文量
36
审稿时长
4 weeks
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