Providing an Appropriate Model for Improving Multi-Criteria Inventory Classification Using SBM Model (Case Study: Pars Khazar Industrial Company)

Document Type : Research Paper


1 Associate Prof., Department of Management, Faculty of Literature and Humanities, University of Guilan, Rasht, Iran.

2 Department of Management, Faculty of Literature and Humanities, University of Guilan, Rasht Iran.

3 MSc., Department of Management, Faculty of Literature and Humanities, University of Guilan, Rasht, Iran.


Objective: In Workplaces, organizations need to balance warehouse inventory and maintenance costs. Therefore, inventory control is one of the major concerns of organizations. In many organizations, they use the ABC classification method for controlling a large volume of inventory. in the traditional ABC classification, items are categorized only by a single criterion; but considering other criteria is also essential, so in such cases, the multi-criteria inventory classification is used. The purpose of this study is to present a new model in multi-criteria inventory classification.
Methods: In this study, the data envelopment analysis method has been used to present an appropriate model for inventory classification. In the literature of Radial and non-radial models of data envelopment analysis have been used in inventory classification and the comparison of the results of the models indicates that non-radial models provide a more rational classification. Hence, other types of non-radial models have been proposed in this paper to improve inventory classification.
Results: the proposed method does not have the weakness of the radial models and improves the multi-criteria inventory classification using non-radial models.
Conclusion: 47 items of inventory related to a common numerical example in the literature as well as 80 items of inventory items of Pars Khazar industrial company have been used in order To implement the new models and compare them with existing models. The results of comparing the proposed model with the existing ones in the literature show the superiority of the proposed model.


Chen, J. X. (2011). Peer-estimation for multiple criteria ABC inventory classification. Computers & Operations Research, 38, 1784–1791.
Cooper, W.W. Park, K.S. Pastor, J.T, (1999). RAM: A range adjusted measure of inefficiency for use with additive models, and relations to other models and measures in DEA. Journal of Productivity Analysis, 11(1), 5-42.
Esmailzadeh, Mansour. (2015). Multi-Criteria inventory ABC Classification Using Fuzzy Logic. 7th international Conference on Management.
Flores, B.E. and Whybark, D.C. (1986), Multiple criteria ABC analysis”, International Journal of Operations & Production Management, Vol. 6 No. 3, pp. 38-46.
Gelders, L.F. and Van Looy, P.M. (1978), An Inventory policy for slow and fast movers in a petrochemical plant: a case study, The Journal of the Operational Research Society, Vol. 29 No. 9, pp. 867-874.
Guvenir, H. A. & Erel, E. (1998). Multi criteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105, 29–37.
Hadi-Vencheh, A. (2010). An improvement to multiple criteria ABC inventory classification. European Journal of Operational Research, 201, 962–965.
Ishizaka, F. Lolli, E. Balugani, R. Cavallieri and R. Gamberini. (2018) DEASort: Assigning items with data envelopment analysis in ABC classes، International Journal of Production Economics.
M. Tavassoli،Gh. R. Faramarzi and R. Farzipoor Saen. (2014), Multi-criteria ABC inventory classification using DEA-discriminant analysis to predict group membership of new items، Int. J. Applied Management Science, Vol. 6, No. 2.
Mottaghi, Hydeh (2012).Production & Operations Management. Tehran: Avaye Sherwin Press. (in Persian)
Mehregan, Mohammad (2012). Data Envelopment Analysis (Quantitative Models for Organizational Performance Evaluation). Tehran: University Book Press. (in Persian)
Ng, W.L. (2007), A simple classifier for multiple criteria ABC analysis, European Journal of Operational Research, Vol. 177 No. 1, pp. 344-353.
Niko, Hossein, Salamat, Majid, Rasulian, Ali. (2014).Applying the TOPSIS method in Multi- criteria ABC Analysis (Case Study: Delpasand Food Production Unit).International Conference on Economics, Accounting, Management and Social Sciences, Poland. (in Persian)
Park, Jaehun, Hyerim Bae, and Joonsoo Bae. (2014), Cross-evaluation-based weighted linear optimization for multi-criteria ABC inventory classification. Computers & Industrial Engineering/ 76: 40-48.
Puente, D. de la Fuente, P. Priore, R. Pino. (2002), ABC Classification with uncertain data: a fuzzy model vs. a probabilistic model. Applied Artificial Intelligence; 16(6) 443–456.
Ramanathan, R. (2006), ABC inventory classification with multiple criteria using weighted linear optimization, Computers & Operations Research. 33, 695–700.
Ramzanian, Mohamadrahim, Yakideh, Keikhosro, Alidost, Atefeh. (2019). providing a New Model to Improving DEA-based Models in Multi-criteria Inventory Classification (case study: Pars Khazar). Journal of Industrial Management, Volume 10, Issue 3, Spring 353-366.
Sarmah S. P. Moharana, U. C. (2015), Multi-criteria classification of spare parts inventories – a web based approach, Journal of Quality in Maintenance Engineering, Vol. 21 ISS4 pp. 456 – 477.
Sharifi, Fatemeh, (2016).Multi-criteria ABC Classification analysis in Drug inventory Control System (Case Study: Slman Farsi Hospital of Busher).Master thesis, Persian Gulf university of Busher. (in Persian)
Torabi, S. A., Hatefi, S. M., & Saleck Pay, B. S. (2012). ABC inventory classification in the presence of both quantitative and qualitative criteria. Computers & Industrial Engineering, 63(2), 530-537.
Wong, W.P. (2010), Decision support model for inventory management using AHP approach: a case study on a Malaysian semiconductor firm, California Journal of Operations Management, Vol. 8 No. 2, pp. 55-71.
Zheng, S., Fu, Y., Lai, K. K., & Liang, L. (2017). An improvement to multiple criteria ABC inventory classification using Shannon entropy. Journal of Systems Science and Complexity, 30(4), 857-865.
Zhou, P. and Fan, L. (2007), A note on multi-criteria ABC inventory classification using weighted linear optimization, European Journal of Operational Research, Vol. 182 No. 3, pp. 1488-1491.