Multi Criteria Classification for Spare Parts Inventory

38th Computer and Industrial Engineering Conference, October 31-November 2, 2008, Beijing, China, pg. 1780-1787

9 Pages Posted: 19 Mar 2009

See all articles by Dilay Celebi

Dilay Celebi

affiliation not provided to SSRN

Demet Bayraktar

Istanbul Technical University

Selcen Ozturkcan

Department of Marketing, School of Business and Economics, Linnaeus University

Date Written: October 31, 2008

Abstract

Maintenance operations directly influence the performances of railway vehicles and play a crucial role in railway services to provide uninterrupted and high quality service to passengers. With the exception of preventive activities, the demand of spare parts for maintenance tasks is usually random; hence, the fast and secure management of the spare parts inventory is an important factor for the successful execution of the maintenance process. The purpose of this research is to extend the classical ABC analysis by developing a multi-criteria inventory classification approach for supporting the planning and designing of a maintenance system. Relevant classification criteria and control characteristics of maintenance spare parts are identified and selected and discussed in terms of their effects on maintenance operations, purchasing characteristics, positioning of materials, responsibility of control, and control principles.

Keywords: ABC Classification, Spare Parts Inventory Management

JEL Classification: M11

Suggested Citation

Celebi, Dilay and Bayraktar, Demet and Ozturkcan, Selcen, Multi Criteria Classification for Spare Parts Inventory (October 31, 2008). 38th Computer and Industrial Engineering Conference, October 31-November 2, 2008, Beijing, China, pg. 1780-1787. Available at SSRN: https://ssrn.com/abstract=1362575 or http://dx.doi.org/10.2139/ssrn.1362575

Dilay Celebi

affiliation not provided to SSRN ( email )

Demet Bayraktar

Istanbul Technical University ( email )

34367 Istanbul
Turkey

Selcen Ozturkcan (Contact Author)

Department of Marketing, School of Business and Economics, Linnaeus University ( email )

Kalmar, SE-391 82
Sweden
+46 (48) 049-7189 (Phone)

HOME PAGE: http://lnu.se/en/staff/selcen.ozturkcan/

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