A CRITIC-based improved version for multiple criteria ABC inventory classification

Document Type : Research Paper

Author

Department of Industrial Engineering, Zabol Branch, Islamic Azad University, Zabol, Iran

10.22034/amfa.2020.1878440.1290

Abstract

In this paper, we present an improved version of the Ramanathan [R. Ramanathan, ABC inventory classification with multiple-criteria using weight linear optimization, Computer and Operations Research, 2006, 33, 695-700] and Zhou and Fan models [P. Zhou and L. Fan, A note on multi-criteria ABC inventory classification (MCABCIC) using weighted linear optimization, European Journal of Operation Research, 2007, 182, 1488-1491]. The model that Ramanathan [1] offered, hereafter the R-model, in spite of its advantages may be led to a situation in which the weights of some criteria regarding an item would not play any role in determining its overall score. On the other hand, for the R inventory items, the Zhou and Fan [2] approach, hereafter the ZF-model, may be resulted to a situation where an item with the high value for an unimportant criterion is inappropriately classified as class A. Moreover, none of the above studies take into account the ranking order (RO) of criteria. Hence, in order to remove drawbacks of both approaches, an integrated model based on criteria importance through inter-criteria correlation (CRITIC) is applied. At last, the proposed method is implemented in an illustrative example and the results are compared with the others.

Keywords


[1] Ahmadi, R., Kordloei, H., The Effect of Financial Distress on the Investment Behavior of Companies Listed on Tehran Stock ExchangeAdvances in Mathematical Finance and Applications, 2018, 3(4), P. 17-28. Doi: 10.22034/amfa.2019.565459.1108
[2] F.T.S. Chan, B. Jiang and N.K.H. Tang, The development of intelligent decision support tools to aid the design of flexible manufacturing systems, Int. J. Prod. Econ., 65 (2000), 73-84.
[3] D. Diakoulaki, G. Mavrotas and L. Papayannakis, Determining objective weights in multiple criteria problems: the critic method, Comput. Oper. Res., 22 (1995), 763–770.
[4] Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic Modified MAJ Model for Measuring the Efficiency and Ranking of DMUs, Indian Journal of Science and Technology, 2015, 8(8), P. 1-7, Doi: 10.17485/ijst/2015/v8iS8/71505
[5] Dibachi, H., Behzadi, M.H., Izadikhah, M., Stochastic multiplicative DEA model for measuring the efficiency and ranking of DMUs under VRS technology, Indian Journal of Science and Technology, 2014, 7 (11), P. 1765–1773. Doi: 10.17485/ijst/2014/v7i11.19
[6] Jokar, H., Shamsaddini, K., Daneshi, V., Investigating the Effect of Investors' Behavior and Management on the Stock Returns: Evidence from IranAdvances in Mathematical Finance and Applications, 2018, 3(3), P. 41-52. Doi: 10.22034/amfa.2018.544948
[7] Parsa, B., Sarraf, F., Financial Statement Comparability and the Expected Crash Risk of Stock PricesAdvances in Mathematical Finance and Applications, 2018, 3(3), P. 77-93. Doi: 10.22034/amfa.2018.544951
[8] R. Ramanathan, ABC inventory classification with multiple-criteria using weight linear optimization, Comput. Oper. Res., 33 (2006), 695-700.
[9] M. Soleimani-damaneh and M. Zarepisheh, Shannon’s entropy for combining the efficiency results of different DEA models: Method and application, Expert. Syst. Appl., 36 (2009), 5146–5150.
[10] Salehi, A., Mohammadi, S., Afshari, M., Impact of Institutional Ownership and Board Independence on the Relationship Between Excess Free Cash Flow and Earnings ManagementAdvances in Mathematical Finance and Applications, 2017, 2(3), P. 91-105. Doi: 10.22034/amfa.2017.533104
[11] Tone, K., Toloo, M., Izadikhah, M., A modified slacks-based measure of efficiency in data envelopment analysis, European Journal of Operational Research, 2020, 287 (2), P. 560-571, Doi: 10.1016/j.ejor.2020.04.019.
[12] P. Zhou and L. Fan, A note on multi-criteria ABC inventory classification using weighted linear optimization, Eur. J. Oper. Res., 182 (2007), 1488-1491.