Recently, Ramanathan (R., Ramanathan, ABC inventory classification with multiple-criteria using weighted linear optimization, Computer and Operations Research, 33(3) (2006) 695-700) introduced a simple DEA-like model to classify inventory items on the basis of multiple criteria. However, the classification results produced by Ramanathan are not consistent with the domination concept encouraged ...

Purpose This project attempts to present a space component inventory classification system for replenishment and management. The authors propose adopt that can incorporate all the different variables in multi-criteria configuration. Fuzzy logic is applied as an effective way formulating problems replenishment. Design/methodology/approach A fuzzy-based approach with ABC proposed of soil preparat...

Multi-criteria ABC classification is a useful model for automatic inventory management and optimization. This enables rapid of items into three groups, having varying managerial levels. Several methods, based on different criteria principles, were proposed to build the classes. However, existing methods operate as black-box AI processes that only provide assignments classes without providing fu...

A dominance-based rough set approach (DRSA) to multiple criteria ABC analysis (MCABC) is designed and compared to other approaches using a practical case study. ABC analysis is a well-known inventory planning and control approach, which classifies inventory items, or stock-keeping units (SKUs), based solely on their annual dollar usage. Recently, it has been suggested that MCABC can provide mor...

Inventory management requires thousands or millions of individual transactions each year. Classification the items influences results inventory management. Traditionally, this is usually classified with considering an annual dollar usage criterion but maybe other criteria such as lead time, criticality, perishability, cost, and demand type can be affected on that classification. have more than ...