Inventory Classification In Metal Sector With Fuzzy ABC-VED Analysis

Öz

Stock refers to the raw materials, semi-finished products, products or assets they hold in their warehouses in order to continue production and service activities. Although it is important to have stock for the continuity of the company's activities, it is undesirable for companies to lose their opportunities due to the fact that their resources are connected to the stock. This situation necessitates the classification of inventories according to various parameters and establishment of stock control policies according to the importance of stocks in firms. In this study, ABC and VED (vital, essential and desirable) analyzes were used for stock classification. Fuzzy ABC-VED approach was developed by using fuzzy logic decision rules in the integration of ABC and VED analysis results. In establishing fuzzy logic decision rules, classes in classes ABC (A, B and C) are divided into three categories and the sensitivity of the evaluations has been increased. The approach developed in the study was implemented in a company operating in the metal sector and the results of the application were included in the study.

Anahtar Kelimeler

• Inventory classification,ABC analysis,VED analysis,Fuzzy logic

BULANIK ABC-VED ANALİZİ İLE METAL SEKTÖRÜNDE STOK SINIFLANDIRMASI

Öz

Stok, firmaların üretim ve hizmet faaliyetlerine devam edebilmek için depolarında bulundurdukları hammadde, yarı mamul, mamul ya da varlıkları ifade etmektedir. Firma faaliyetlerinin devamlılığı için stok bulundurulması önemli olsa da firma kaynaklarının stoka bağlanması dolayısıyla fırsat kayıplarının yaşanması istenmeyen bir durumdur. Bu durum firmalarda stokların çeşitli parametrelere göre sınıflandırılmasını ve stokların önem seviyesine göre stok kontrol politikalarının oluşturulmasını gerekli kılmaktadır. Bu çalışmada stok sınıflandırmasında ABC ve VED (vital, essential and desirable) analizleri kullanılmıştır. ABC ve VED analiz sonuçlarının entegrasyonunda bulanık mantık karar kurallarından faydalanılarak bulanık ABC-VED yaklaşımı geliştirilmiştir. Bulanık mantık karar kuralları oluşturulurken ABC sınıfında yer alan sınıflar (A, B ve C) da kendi içinde üç kategoriye ayrılarak değerlendirmelerin hassasiyeti arttırılmıştır. Çalışmada geliştirilen yaklaşım metal sektöründe faaliyet gösteren bir firmada uygulanmış ve uygulama sonuçlarına çalışmada yer verilmiştir.

Anahtar Kelimeler

• Stok sınıflandırması,ABC analizi,VED analizi,Bulanık mantık

Kaynakça

1. Aytaç, E. (2006) Kalite kontrolde bulanık mantık yaklaşımı ve bir uygulama. Yüksek Lisans Tezi, Pamukkale Üniversitesi Sosyal Bilimleri Enstitüsü, Denizli.
2. Cakir, O. ve Canbolat, M. S. (2008) A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology. Expert Systems with Applications, 35(3), 1367-1378. doi: 10.1016/j.eswa.2007.08.041
3. Chitale, A. ve Gupta, R. (2014) Materials Management a Supply Chain Perspective: Text and Cases: PHI Learning Pvt. Ltd.
4. Deshpande, V. A. (2008) Optimal Inventory Control Using ABC, VED & SDE Analysis for Indian Industries. Paper presented at the National Conference on Emerging Trends in Mechanical Engineering (ETME-2008).
5. Devnani, M., Gupta, A. ve Nigah, R. (2010) ABC and VED analysis of the pharmacy store of a tertiary care teaching, research and referral healthcare institute of India. Journal of Young Pharmacists: JYP, 2(2), 201-205. doi: 10.4103/0975-1483.63170
6. Flores, B. E. ve Clay Whybark, D. (1986) Multiple criteria ABC analysis. International Journal of Operations & Production Management, 6(3), 38-46. doi: doi.org/10.1108/eb054765
7. Gandhi, P. ve Basur, A. (2000) Application of ABC analysis in medical store of ESIC, Delhi. Health Administrator, 9(1-2), 90.
8. Gupta, N. ve Krishnappa, P. (2016) Inventory Analysis in a Private Dental Hospital in Bangalore, India. Journal of Clinical and Diagnostic Research: JCDR, 10(11), IC10. doi: 10.7860/JCDR/2016/23273.8898

9. Hadi-Vencheh, A. (2010) An improvement to multiple criteria ABC inventory classification. European Journal of Operational Research, 201(3), 962-965. doi: 10.1016/j.ejor.2009.04.013
10. Hadi-Vencheh, A. ve Mohamadghasemi, A. (2011) A fuzzy AHP-DEA approach for multiple criteria ABC inventory classification. Expert Systems with Applications, 38(4), 3346-3352. doi: 10.1016/j.eswa.2010.08.119
11. Hatefi, S. M., Torabi, S. A. ve Bagheri, P. (2014) Multi-criteria ABC inventory classification with mixed quantitative and qualitative criteria. International Journal of Production Research, 52(3), 776-786. doi: 10.1080/00207543.2013.838328
12. Jeddou, M. B. (2014) Multi-Criteria ABC Inventory Classification- A Case of Vehicles Spare Parts Items. Journal of Advanced Management Science, 181-185. doi:10.12720/joams.2.3.181-185
13. Kabir, G. ve Hasin, M. A. A. (2011) Comparative analysis of AHP and fuzzy AHP models for multicriteria inventory classification. International Journal of Fuzzy Logic Systems, 1(1), 1-16.
14. Kant, S., Haldar, P., Singh, A. ve Kankaria, A. (2015) Inventory management of drugs at a secondary level hospital associated with Ballabgarh HDSS-An experience from North India. Journal of Young Pharmacists, 7(2), 113. doi: 10.5530/jyp.2015.2.9
15. Kumar, P., John Rajan, A. ve Balan, K. (2014) VED & ABC Analysis of inventories for a wind turbine company. Applied Mechanics and Materials, 591, 27-32. doi: 10.4028/www.scientific.net/AMM.591.27
16. Kumar, Y., Kumar Khaparde , R., Dewangan, K., Kumar Dewangan, G., Dhiwar, J.S. ve Sahu, D. (2017) FSN Analysis for Inventory Management – Case Study of Sponge Iron Plant. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 5(2),53-57.
17. Metaxiotis, K., Psarras, J. ve Samouilidis, E. (2003) Integrating fuzzy logic into decision suppport systems: current research and future prospects. Information Management & Computer Security, 11(2), 53-59. doi: 10.1108/09685220310468592
18. Ng, W. L. (2007) A simple classifier for multiple criteria ABC analysis. European Journal of Operational Research, 177(1), 344-353. doi:10.1016/j.ejor.2005.11.018
19. Pund, S. B., Kuril, B. M., Hashmi, S. J., Doibale, M. K. ve Doifode, S. (2017) ABC-VED matrix analysis of Government Medical College, Aurangabad drug store. International Journal of Community Medicine And Public Health, 3(2), 469-472. doi: 10.18203/2394-6040.ijcmph20160434
20. Ramanathan, R. (2006) ABC inventory classification with multiple-criteria using weighted linear optimization. Computers & Operations Research, 33(3), 695-700. doi: 10.1016/j.cor.2004.07.014
21. Shenoy, D. ve Rosas, R. (2018) Problems & Solutions in Inventory Management: Springer.
22. Singh, S., Gupta, A. K. ve Devnani, M. (2015) ABC and VED analysis of the pharmacy store of a tertiary care, Academic Institute of the Northern India to identify the categories of drugs needing strict management control. Journal of Young Pharmacists, 7(2), 76. doi: 10.5530/jyp.2015.2.4
23. Sumathi, S., Kumar, L. A. ve Surekha P. (2016) Computational intelligence paradigms for optimization problems using MATLAB®/SIMULINK®. CRC Press.
24. Waters, D. (2003) Inventory control and management (2nd ed. ed.): John Wiley & Sons.
25. Yu, M.-C. (2011) Multi-criteria ABC analysis using artificial-intelligence-based classification techniques. Expert Systems with Applications, 38(4), 3416-3421. doi: 10.1016/j.eswa.2010.08.127
26. Zadeh, L. (1965) Fuzzy Sets. Information and Control, 8, 338-353. doi: doi.org/10.1016/S0019-9958(65)90241-X