Classifying spare parts in the after-sales service network of passenger cars based on an integrated approach of the Kraljic and the SWARA technique

Authors

    Aliakbar Vafaei Master's student, Department of Management, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran
    Seyed Mohammad Hassan Hosseini * Associate Professor, Department of Industrial Engineering, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran sh.hosseini@shahroodut.ac.ir
    Mohsen Lotfi Assistant Professor, Department of Accounting, Faculty of Industrial Engineering and Management, Shahrood University of Technology, Shahrood, Iran

Abstract

Often, the purchasing process is considered merely as a repetitive operational task and is rarely addressed strategically. For this reason, many possibilities for using purchasing as a strategic tool to achieve the long-term goals of the organization are simply ignored. This is especially important in the automotive industry and its supply chain elements, where both the diversity and consumption of their items are high. In this regard, the present study presents an approach to classifying spare parts required by the passenger car after-sales service network and developing purchasing strategies appropriate to each group. In the proposed approach, the SWARA technique is used to evaluate and weight the criteria and then the parts under consideration are categorized using the Kraljic portfolio matrix. In this assessment, current issues such as sanctions and the effect of dependence on international supply sources are also considered in the dimensions of supply risk and profitability. The population of the present study is two large organizations supplying and distributing spare parts for Peugeot vehicles based on the after-sales service network, and among them, 50 high-consumption parts are examined. Finally, while classifying parts into the four areas of the Kraljic portfolio matrix, appropriate strategies for each category are suggested. Using the results of this study, it is possible to improve efficiency and reduce costs in the spare parts supply chain, as well as increase customer satisfaction.

Published

2025-05-11

Issue

Section

Articles

How to Cite

Vafaei, A., Hosseini, S. M. H., & Lotfi, M. . (2025). Classifying spare parts in the after-sales service network of passenger cars based on an integrated approach of the Kraljic and the SWARA technique. The Decision Science and Intelligent Systems. https://dsisj.com/index.php/dsisj/article/view/11