Research Article Open Access

Comparative Analysis of Risk Management Strategies for Additive Manufacturing Supply Chains

Bandar Altubaishe1, Jahlani Clarke1, Christina McWilliams1 and Salil Desai1
  • 1 Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, United States

Abstract

Supplier selection is an important strategic decision to be made in additive manufacturing supply chains. This paper presents a hybrid Analytic Hierarchy Process-Preference Ranking Organization Method for Enrichment of Evaluations (AHP-PROMETHEE) algorithms-based Failure Mode and Effects Analysis (FMEA) for supplier selection in a risk-based environment. Our approach is contrasted with an FMEA based on a Fuzzy Analytic Hierarchy Process (FAHP) for modeling assessment and mitigation of risk. In the FAHP method, the selection of the best supplier is based on the value of the weighted RPN whereas, in the hybrid AHP-PROMETHEE method, the selection of the best supplier is based on the value of outranking. An illustrative case study is used for a comparative analysis between the two methods. The AHP-PROMETHEE algorithms-based FMEA was the preferred method based on ease of implementation, accuracy of results and higher decision-maker involvement as compared to the FAHP method. This research develops a hybrid AHP-PROMETHEE algorithms-based FMEA to incorporate risk criteria toward systematic evaluation of suppliers for supply chain management.

American Journal of Applied Sciences
Volume 16 No. 8, 2019, 273-282

DOI: https://doi.org/10.3844/ajassp.2019.273.282

Submitted On: 20 July 2019 Published On: 17 October 2019

How to Cite: Altubaishe, B., Clarke, J., McWilliams, C. & Desai, S. (2019). Comparative Analysis of Risk Management Strategies for Additive Manufacturing Supply Chains. American Journal of Applied Sciences, 16(8), 273-282. https://doi.org/10.3844/ajassp.2019.273.282

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Keywords

  • Additive Manufacturing
  • Supply Chain Management
  • Risk Assessment
  • PROMETHEE
  • Analytic Hierarchy Process
  • FMEA