Inferring an ELECTRE TRI Model from Assignment Examples
Journal of Global Optimization
Classifying inventory using an artificial neural network approach
Computers and Industrial Engineering
A case-based distance model for multiple criteria ABC analysis
Computers and Operations Research
Expert Systems with Applications: An International Journal
Controlling inventory by combining ABC analysis and fuzzy classification
Computers and Industrial Engineering
ABC inventory classification with multiple-criteria using weighted linear optimization
Computers and Operations Research
A multi-criteria sorting procedure with Tchebycheff utility function
Computers and Operations Research
Management of multicriteria inventory classification
Mathematical and Computer Modelling: An International Journal
ABC inventory classification in the presence of both quantitative and qualitative criteria
Computers and Industrial Engineering
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The ABC method is a well-known approach to classify inventory items into ordered categories, such as A, B and C. As emphasized in the literature, it is reasonable to evaluate the inventory classification problem in the multi-criteria context. From this point of view, it corresponds to a sorting problem where categories are ordered. Here, one important issue is that the weights of the criteria and categorization preferences can change from industry to industry. This requires the analysis of the problem in a specific framework where the decision maker (expert)'s preferences are considered. In this study, the preferences of the decision maker are incorporated into the decision making process in terms of reference items into each class. We apply two utility functions based sorting methods to the problem. We perform an experiment and compare results with other algorithms from the literature.