Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Empirically-driven hierarchical classification of stock keeping units

Bacchetti, A., Plebani, F., Saccani, N. and Syntetos, Argyrios 2013. Empirically-driven hierarchical classification of stock keeping units. International Journal of Production Economics 143 (2) , pp. 263-274. 10.1016/j.ijpe.2012.06.010

Full text not available from this repository.

Abstract

This paper proposes a hierarchical multi-criteria classification method developed for inventory management purposes and applied in a case study of the spare parts business of a household appliance manufacturer. The classification method is built on the basis of SIX dimensions, resulting in 12 different classes of spare parts, for which differentiated forecasting and inventory policies are proposed and tested. The results of our simulation study demonstrate the reduction of the total logistics costs by about 20% whilst still achieving the specified target service level for each class. Even more importantly, the proposed approach is simple enough to be understood and applied by company managers, thus increasing the probability of its adoption (in the same or similar fashion) in other real world settings.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Business (Including Economics)
Subjects: H Social Sciences > HD Industries. Land use. Labor
Uncontrolled Keywords: Spare parts; Multi-criteria demand classification; Inventory control; Case study; Durable goods
Publisher: Elsevier
ISSN: 0925-5273
Last Modified: 04 Jun 2017 04:48
URI: http://orca.cf.ac.uk/id/eprint/45025

Citation Data

Cited 27 times in Google Scholar. View in Google Scholar

Cited 17 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item