A Multi-Criteria Approach to Sustainable Risk Management of Supplier Portfolio: A Case Study at Defense Industry

Year 2022, , 1504 - 1519, 01.12.2022

Gözde Öztek Mehmet Kabak

https://doi.org/10.35378/gujs.883894

Cited By: 2

Abstract

Supply Chain Management plays an important role in the success and performance of businesses. Supply chains have to adapt to changes in technological advancements and customer expectations to maintain competitive advantage. On the other hand, driving factors such as risk reduction, increasing the financial performance of the supply chain, societal influence, governmental requirements and attracting customers who give importance to sustainability have been influential in the increasing interest in the concept of Sustainable Supply Chain. Therefore, businesses maintain their supply chain operations while focusing on economic, environmental and social dimensions. Additionally, the risk evaluation methods employed in supply chain management are considered to be more qualitative rather than quantitative. This study conducted in a Turkish defense industry company introduces a quantitative framework that allows the evaluation of risks and risk management practices required for sustainable supplier performance with the help of a Multi Criteria Decision Making (MCDM) approach. In this study, Analytical Hierarchy Process (AHP) and Rating Methods are applied together in order to evaluate risks through classification of critical suppliers with respect to business volume, capabilities and schedule certainty. Using this framework, Sustainable Supplier Risk Scores (SSRS) of each class of suppliers have been calculated and specific risk management practices have been determined for each class. The objective is to establish effective supply chain risk management practices, which provide long term partnership with suppliers in a business with strategic customers, high cost of production, high expectations in terms of quality and high level of supply chain risks.

Keywords

Sustainable supply chain, Risk assessment, Multi-criteria decision making, Defense industry

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