Fuzzy ABC Classification in Inventory Management for a Service Sector Firm
DOI:
https://doi.org/10.14738/abr.62.4181Keywords:
ABC Analysis, Fuzzy Clustering C – Means, ClassificationAbstract
Companies face with the need for evaluation of inventories in terms of multiple criteria in short time in the varying economic conditions. The ABC Analysis clusters these inventories and produces required reports. However, ABC inventory clustering process has weakness in terms of class distinction. The purpose of this study is obtaining strong optimum results in ABC Analysis by fuzzy clustering of inventories. The case is performed in a firm operating in telecommunications sector.
References
. Bezdek, J. C., “Numerical taxonomy with fuzzy sets”, Journal of Mathematical Biology, Volume 5 (1), pp.57-71, 1974.
. Bezdek, J. C., Pattern recognition with fuzzy objective function algorithms, NY: Plenum Press, 1981.
. Çokoy, B., “Determination of Production and Inventory Control Policy: An Application in Plastic Industry”, Master Thesis, Başkent University, Ankara, Turkey, 2013.
. Erilli, N. A., “Fuzzy Clustering Analysis of Statistical Area Units According to Financial Variables”, Kirikkale University Journal of Social Sciences, Volume 4 (2), 2014.
. Erilli, N. A., Tunç, T., Öner, Y., Yolcu, U., “Classification of cities with Fuzzy Clustering Analysis, based on the Provincial Socio-Economic Data”, E-Journal of New World Sciences Academy, Volume 4 (1), 2009.
. Erilli, N. A., Yolcu, U., Eğrioğlu “Determining the Most Proper Number of Cluster in Fuzzy Clustering by Artificial Neural Networks”, Expert Systems with Applications, Volume 38, pp.2248-2252, 2011.
. Known, S. H., “Cluster Validity Index for Fuzzy Clustering”, Electronic Letters, Volume 34 (22), pp.2176-2178, 1998.
. Öztemel, E., Artificial Neural Networks. Daisy Publishing, İstanbul, 2006.
. Rezaee, M.R., Lelieveldt, B.P.F., Reiber, J.H.C., “A New Cluster Validity Index for the FCM”, Pattern Recognition Letters, Volume 19, pp.237-246, 1998.
.Sintas, A.F., Cadenas, J.M., Martin, F., “Membership functions in the Fuzzy C-Means Algorithm”, Fuzzy Sets and Systems, Volume 1 (1), pp.49-58, 1999.
.Xie, L., Beni, G., “A Validity Measure for Fuzzy Clustering”, IEEE Transactions on Pattern Analysis and Machine International, Volume 13 (4), pp.841-846, 1991.