Abstract
ABC analysis is a commonly used inventory classification technique which consists in dividing a set of inventory items into three categories: category A contains the most important items, category B includes the moderately important items and category C contains the least important ones. The purpose of this classification is to manage inventory items in an efficient way by relaxing controls on low valued items and applying more meticulous controls on high valued items. In this paper, we propose a new hybrid weighted optimization model which combines the usefulness of two well-known inventory classification models (ZF-model [13] and H-model [10]). To measure the performance of the proposed model with respect to some existing classification models, a comparative study—based on a service-cost analysis—is conducted.
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Notes
- 1.
In this model, a weight is assigned to each criterion \( j \) and not—as the other optimization models—to each evaluation \( x_{ij} \).
References
Babai, M.Z., Ladhari, T., Lajili, I.: On the inventory performance of multi-criteria classification methods: empirical investigation. Int. J. Prod. Res. (2014)
Bhattacharya, A., Sakar, B., Mukherjee, S.K.: Distance based concensus method for ABC analysis. Int. J. Prod. Res. 45, 3405–3420 (2007)
Flores, B.E., Olson, D.L., Dorai, V.K.: Management of multi criteria inventory classification. Math. Comput. Model. 16(12), 71–82 (1992)
Guvenir, H.A., Erel, E.: Multicriteria inventory classification using a genetic algorithm. Eur. J. Oper. Res. 105(1), 29–37 (1998)
Mohammaditabar, D., Ghodsypour, S.H., O’Brien, C.: Inventory control system design by integrating inventory classification and policy selection. Int. J. Prod. Econ. 140, 655–659 (2011)
Ng, W.L.: A simple classifier for multiple criteria ABC analysis. Eur. J. Oper. Res. 177(1), 344–353 (2007)
Partovi, F.Y., Burton, J.: Using the analytic hierarchy process for ABC analysis. Int. J. Oper. Manage. 13, 29–44 (1993)
Ramanathan, R.: ABC inventory classification with multiple-criteria using weighted linear optimization. Comput. Oper. Res. 33(3), 695–700 (2006)
Tsai, T.H, Yeh, S.W: A multiple objective particle swarm optimization approach for inventory classification. Int. J. Prod. Econ. 114(2), 656–666 (2008)
Vencheh, A.H: An improvement to multiple criteria ABC inventory classification. Eur. J. Oper. Res. 201(3), 962–695 (2010)
Vencheh, A.H., Mohamadghasemi, A.: A fuzzy AHP-DEA approach for multiple criteria ABC inventory classification. Expert Syst. Appl. 38, 3346–3352 (2011)
Yu, M.C.: Multi-criteria ABC analysis using artificial-intelligence-based classification techniques. Expert Syst. Appl. 38(4), 3416–3421 (2011)
Zhou, P., Fan, L.: A note on multi-criteria ABC inventory classification using weighted linear optimization. Eur. J. Oper. Res. 182(3), 1488–1491 (2007)
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Kaabi, H., Jabeur, K. (2016). A New Hybrid Weighted Optimization Model for Multi Criteria ABC Inventory Classification. In: Abraham, A., Wegrzyn-Wolska, K., Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Advances in Intelligent Systems and Computing, vol 427. Springer, Cham. https://doi.org/10.1007/978-3-319-29504-6_26
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DOI: https://doi.org/10.1007/978-3-319-29504-6_26
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