Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
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
Prioritizing equipments for preventive maintenance (PM) activities using fuzzy rules
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
ABC inventory classification with multiple-criteria using weighted linear optimization
Computers and Operations Research
Hi-index | 12.05 |
Multiple criteria ABC inventory classification is one of the most common techniques of planning and controlling of inventory. In this type of classification, other criteria in addition to the criterion of annual dollar usage are taken into account, and then items, based on their priority, are divided into 3 classes with different ordering policies (OPs). In this paper, multiple criteria ABC inventory classification is first performed using the Hadi-Vencheh model (2010). Then suitable OPs are determined for items of classes A and C and Finally, we apply the Zafiropoulos and Dialynas (2005) approach to extract fuzzy rules from the policies of these two classes for determining the policies of items class B. To show applicability of the proposed model, it is then implemented in a soft-drink manufacturing factory.