Supplier Selection in the Context of Industry 4.0 Using Hybrid DEA-SMART Method

Document Type : Research Paper

Authors

1 Department of Industrial Engineering, Ankara Yıldırım Beyazit University

2 ANKARA YILDIRIM BEYAZIT UNİVERSİTY

10.22034/ijsom.2024.110280.3021

Abstract

In the era of Industry 4.0, choosing suppliers for online commerce is of utmost importance and calls for the application of efficient, data-centric techniques. Businesses are under increasing pressure to improve their supply chain management strategies and select the best suppliers in the online commerce environment of Industry 4.0. Traditional approaches, however, sometimes don't include a thorough assessment of suppliers across several dimensions. In order to close this gap, this paper proposes a new approach that combines Data Envelopment Analysis (DEA) with the Simple Multi-Attribute Rating Technique (SMART). The first phase is applying DEA to determine how effective suppliers are using the data that has been gathered. DEA offers a quantitative indicator of how efficiently providers convert their inputs into outputs. This combination score enables rating suppliers while simultaneously considering multi-attribute evaluation and quantifying efficiency assessment, then using a number of different criteria, providers are evaluated using the SMART approach. The findings of this analysis help to improve supplier selection procedures in the context of online commerce, which falls under the purview of Industry 4.0.

Keywords

References

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International Journal of Supply and Operations Management
Volume 11, Issue 2
May 2024
Pages 216-230

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