Current Proceedings on Technology

Yazarlar: Péter Volf, Zoltán Kovács, István Szalkai

Konular:-

Anahtar Kelimeler:Multicriterial ABC analysis,MATLAB,Visualization,Case-based distance model

Özet: Establishing an effective inventory control strategy requires appropriate information about the composition and characteristics of inventories. It is extremely important in the case of organizations with tight budget such as hospitals.In general, obtaining information for inventory-related decisions mainly has two obstacles. Firstly, the number of Stock Keeping Units (SKUs) being on hand at companies often exceeds the amount that can be manageable in singles. Observing the similarity among the SKUs based on one or more criteria can release the complex decision-making processes. One of the most frequently used approach of sorting SKUs into homogenous groups in inventory management is the ABC analysis. Secondly, the non-appropriate interpretation of the classification results of ABC analysis can lead to confusion. Comprehension of the results, especially in inventory management, can be facilitated by data visualization. The purpose of this study is to present an IT-based decision aid framework built on the traditional ABC analysis which supports the application of inventory-related case-based distance model and its visualization. A linear programing method is applied on MATLAB basis to determine the model parameters which is followed by a plotting method of linear and nonlinear separating surfaces. The results of the study are demonstrated through a case study from health care where the database comes from the inventory records of a general hospital.

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