A note on multi-criteria inventory classification using weighted linear optimization
DOI:
https://doi.org/10.2298/YJOR1002293RKeywords:
inventory classification, weighted linear optimization, multi-criteria decision-makingAbstract
Recently, Ramanathan (R., Ramanathan, ABC inventory classification with multiple-criteria using weighted linear optimization, Computer and Operations Research, 33(3) (2006) 695-700) introduced a simple DEA-like model to classify inventory items on the basis of multiple criteria. However, the classification results produced by Ramanathan are not consistent with the domination concept encouraged some researchers to extend his model. In this paper, we produce the correct results and compare them to the original results and those of the extended models. We also improve this model to rank items with an optimal score of 1 using a cross-efficiency technique. The classification results are considerably different from the original results. Despite the fact that the correct results are obtained in this paper, there is no significant difference between the original model and its extensions, while the original model is more simple and suitable for the situations in which decision-maker cannot assign specific weights to individual criteria.References
Andersen, P., and Petersen, N.C., “A procedure for ranking efficient units in data envelopment analysis”, Management Science, 39 (10) (1993) 1261-1264.
Bhattacharya, A., Sarkar, B., and Mukherjee, S.K., “Distance-based consensus method for ABC analysis”, International Journal of Production Research, 45 (15) (2007) 3405-3420.
Cakir, O., and Canbolat, M.S., “A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology”, Expert Systems with Applications, 35 (3) (2008) 1367-1378.
Flores, B.E., and Whybark, D.C., “Implementing multiple criteria ABC analysis”, Journal of Operations Management, 7 (1) (1987) 79-84.
Flores, B.E., and Whybark, D.C., “Multiple criteria ABC analysis”, International Journal of Operations and Production Management, 6 (3) (1986) 38-46.
Flores, B.E., Olson, D.L., and Dorai, V.K., “Management of multicriteria inventory classification”, Mathematical and Computer Modeling, 16 (12) (1992) 71-82.
Ng, W.L., “A simple classifier for multiple criteria ABC analysis”, European Journal of Operational Research, 177 (1) (2007) 344-353.
Partovi, F.Y., and Burton, J., “Using the analytic hierarchy process for ABC analysis”, International Journal of Production and Operations Management, 13 (9) (1993) 29-44.
Ramanathan, R., “ABC inventory classification with multiple-criteria using weighted linear optimization”, Computer and Operations Research, 33 (3) (2006) 695-700.
Rezaei, J., and Dowlatshahi, S., “A rule-based multi-criteria approach to inventory classification”, International Journal of Production Research, 48 (23) (2010) 7107-7126.
Rezaei, J., “A fuzzy model for multi-criteria inventory classification”, 6th International Conference on Analysis of Manufacturing Systems, AMS 2007, Lunteren, The Netherlands, 11-16 May 2007, 167-172.
Sexton, T.R., Silkman, R.H., and Hogan, A.J., “Data envelopment analysis: critique and extensions”, In: R.H. Silkman (ed.), Measuring Efficiency: An Assessment of Data Envelopment Analysis, Jossey-Bass, San Francisco, CA, 1986, 73-105.
Zhou, P., and Fan, L., “A note on multi-criteria ABC inventory classification using weighted linear optimization”, European Journal of Operational Research, 182 (3) (2007) 1488-1491.
Zhu, J., “Robustness of the efficient decision-making units in data envelopment analysis”, European Journal of Operational Research, 90 (3) (1996) 451-460.
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