Evaluating and Ranking the Supplier Selection Criteria for Additive Manufacturing Firms Using Best-Worst Method

Priya Ambilkar (), Priyanka Verma () and Debabrata Das ()
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Priya Ambilkar: National Institute of Industrial Engineering
Priyanka Verma: National Institute of Industrial Engineering
Debabrata Das: National Institute of Industrial Engineering

A chapter in Advances in Best-Worst Method, 2023, pp 161-175 from Springer

Abstract: Abstract Additive manufacturing (AM) is a well-known technology applied in different industrial applications which have gained more attention over the last three decades. The crucial aspect of AM is designing and managing the supply chain for AM parts. The most critical strategic decision in the initial process of supply chain management is selecting and evaluating suppliers. Selecting an appropriate supplier can lead to reducing costs in supply chain management. Therefore, there is a need to choose a reliable supplier to enhance the performance of their supply network. For the first-time, supplier selection criteria evaluation for the AM domain is examined in this study. This study proposes multi-criteria decision-making based on the best-worst methods to prioritize AM firm’s raw material supplier selection criteria. The best-worst method is generally applied to get the criteria weight. The reliability of the comparisons is checked using a consistency ratio. Then the most important and least important criteria are obtained and considered while selecting a supplier in AM based on the result. Finally, the study concluded the importance of supplier selection for AM. This study further provides a promising avenue for future research opportunities.

Keywords: Additive manufacturing; Supply chain Management; Supplier evaluation; Best-worst method (BWM) (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-24816-0_13

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