文章基本信息

标题：COMPARISON OF MULTIPLE-CRITERIA DECISION-MAKING METHODS - RESULTS OF SIMULATION STUDY
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作者：Michał Adamczak ; Roman Domański ; Norbert Wagener 等
期刊名称：LogForum
电子版ISSN：1734-459X
出版年度：2016
卷号：12
期号：4
DOI：10.17270/J.LOG.2016.4.5
出版社：Poznań School of Logistics
摘要：Background: Today, both researchers and practitioners have many methods for supporting the decision-making process. Due to the conditions in which supply chains function, the most interesting are multi-criteria methods. The use of sophisticated methods for supporting decisions requires the parameterization and execution of calculations that are often complex. So is it efficient to use sophisticated methods? Methods: The authors of the publication compared two popular multi-criteria decision-making methods: the Weighted Sum Model (WSM) and the Analytic Hierarchy Process (AHP). A simulation study reflects these two decision-making methods. Input data for this study was a set of criteria weights and the value of each in terms of each criterion. Results: The iGrafx Process for Six Sigma simulation software recreated how both multiple-criteria decision-making methods (WSM and AHP) function. The result of the simulation was a numerical value defining the preference of each of the alternatives according to the WSM and AHP methods. The alternative producing a result of higher numerical value was considered preferred, according to the selected method. In the analysis of the results, the relationship between the values of the parameters and the difference in the results presented by both methods was investigated. Statistical methods, including hypothesis testing, were used for this purpose. Conclusions: The simulation study findings prove that the results obtained with the use of two multiple-criteria decision-making methods are very similar. Differences occurred more frequently in lower-value parameters from the "value of each alternative" group and higher-value parameters from the "weight of criteria" group.
关键词：weighted sum model; analytic hierarchy process; multiple-criteria decision-making; simulation study