INVENTORY CLASSIFICATION WITH ABC ANALYSIS

Abstract

For a substantial organization, managing the expansive inventory is a serious problem. One of the methods to solve this problem used widely is classifying the inventory according to some criteria and managing inventory according to this classisifation. In this study, ABC classification methods are researched and Ng's model, which is one of the most widely used, selected for further investigation. An illustrative example is presented to show the usability of the Ng's method.

Keywords

• -

ABC ANALİZİ YÖNTEMİ İLE ENVANTER SINIFLANDIRMASI

Abstract

Hatırı sayılır miktarda organizasyon için büyük ölçekli envanteri yönetmek çok ciddi bir sorun teşkil etmektedir. Bu sorunu çözmek için sıkça kullanılan yöntemlerden biri, envanteri bazı kriterlere göre sınıflandırmak ve envanteri bu sınıflandırmaya göre yönetmektir. Bu çalışmada, ABC sınıflandırma yöntemleri araştırılmış ve en çok kullanılan yöntemlerinden biri olan Ng'nin modeli daha detaylı inceleme için seçilmiştir. Ng'nin metodunun kullanılabilirliğini göstermek amacıyla açıklayıcı bir örnek sunulmuştur.

Keywords

• ABC analizi, envanter yönetimi, çoklu kriter envanter sınıflandırması

References

1. Schomer A.J., “An Approach to Inventory Management”, The Journal of Accountancy, August 1965.
2. Flowers A.D., O’Neill J.B., “An Application of Classical Inventory Analysis to a Spare Parts Inventory”, Interfaces, Vol.8 No.2, February 1978. [3] Partovi F.Y., Anandarajan M., “Classifying Inventory Using an Artificial Neural Network Approach”, Computers & Industrial Engineering, Vol.41 389-404, 2002.
3. Ng W.L., “A Simple Classifier for Multiple Criteria ABC Analysis”, European Journal Of Operational Research, Vol. 177, 344-353, February 2006.
4. Ramanathan R., “ABC inventory classification with multiple-criteria using weighted linear optimization”, Computers & Operations Research, Vol. 33, 695–700, March 2006.
5. Bhattacharya A., Sarkar B., Mukherjee S.K., “Distance Based Concensus Method for ABC Analysis”, International Journal Of Production Research, Vol. 45 No.15, 3405-3420, August 2007.
6. Zhou P., Fan L., “A Note on Multi-Criteria ABC Inventory Classification Using Weighted Linear Optimization”, European Journal Of Operational Research, Vol. 182, 1488-1491, November 2007.
7. Simunovic K., Draganjac T., Simunovic G., “Application of Different Quantitative Techniques to Inventory Classification”, Technical Gazette, Vol. 15, 41-47, April 2008.
8. Hadi-Vencheh A., “An Improvement To Multiple Criteria ABC Inventory Classification”, European Journal of Operational Research, Vol. 201, 962-965, May 2009.

9. [10] Chen J.X., “Multiple Criteria ABC Inventory Classification Using Two Virtual Items”, International Journal Of Production Research, Vol. 50 No. 6, 1702-1713, March 2012.
10. Hadi-Vencheh A., Mohamaddghasemi A., “A Fuzzy AHP-DEA Approach for Multiple Criteria ABC Inventory Classification”, Expert Systems with Applications, Vol. 38, 3346-3352, August 2011.
11. Mohamadghasemi A., Hadi-Vencheh A., “Determining the Ordering Policies of Inventory Items in Class B Using If-Then Rules Base”, Expert Systems with Applications, Vol. 38, 3891-3901, August 2011.
12. Molenaers A., Baets H., Pintelon L., Waeyenbergh G., “Criticality
13. Classification of Spare Parts: A Case Study”, International Journal
14. Production Economics, Vol. 140, 570-578, September 2011.
15. Torabi S.A., Hatefi S.M., Pay B.S., “ABC Inventory Classification in the Presence of Both Quantitative and Qualitative Criteria”, Computers & Industrial Engineering, Vol. 63, 530-537, May 2012.
16. Kırış Ş., “Multi Criteria Inventory Classification by Using a Fuzzy Analytic Network Process (ANP) Approach”, Informatica, Vol. 24, 199- 217, January 2013.
17. Soylu B., Akyol B., “Multi Criteria Inventory Classification with Reference Items”, Computers & Industrial Engineering, Vol. 69, 12-20, December 2013.