Resilient Supplier Selection under Uncertainty Using the Extended TOPSIS Method: The Case of Electronic Components Procurement

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Nantana Waleekhajornlert
Panitas Sureeyatanapas


Abstract—Due to globalization, supply chains are interrupted by unpredictable natural or man-made disasters, as well as other kinds of disruptive events. The selection of suppliers based on resilience strategies, therefore, has been considered a necessary factor for mitigating such uncertainties. However, the studies that provide practical methods using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to support resilient supplier selection in the electronic industry is still limited. Most of electronic products are made up of a variety of components. Logical supplier selection process is therefore necessary in this industry. This study aims to identify critical criteria for the resilient supplier selection that is applicable to electronic manufacturers. The extended TOPSIS method is then adopted to facilitate the selection process. Uncertain and unavailable data, which tends to exist in actual resilient supplier selection problems, can be managed logically. The effective use of the supplier resilience strategies helps electronic firms be prepared for unpredictable disasters. The proposed method can be applied not only for resilient supplier selection but also any cases of multi-criteria decision making.

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Waleekhajornlert, N., & Sureeyatanapas, P. (2020). Resilient Supplier Selection under Uncertainty Using the Extended TOPSIS Method: The Case of Electronic Components Procurement. INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 4(1), 44–49. Retrieved from
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