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10.1080_0951192x.2023.2228263.pdf (2.15 MB)

A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain

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submitted on 2024-02-06, 08:07 and posted on 2024-02-07, 09:23 authored by Asma Mecheter, Shaligram Pokharel, Faris Tarlochan, Fujio Tsumori

This research proposes a multi-period multiple parts mixed-integer linear programming optimization model for the trade-off analysis of spare parts supply through computer numerical control (CNC) manufacturing and additive manufacturing (AM). The multiple spare parts have different characteristics such as volume, shape size, and geometry complexity. The model focuses on minimizing lead times and thus reducing downtime costs. Scenario analyses are developed for some parameters to assess the robustness of the model. The analysis shows that the mix between AM-based spare parts and CNC-based spare parts is sensitive to changes in demand. For the given data, the findings demonstrate that AM is cost-effective with spare parts having high geometry complexity while CNC-based manufacturing is economically feasible for spare parts with low geometry complexity and large sizes. The proposed model can support decision-makers in selecting the optimal manufacturing method for multiple spare parts having different characteristics and attributes. The paper concludes with limitations and future directions.

Other Information

Published in: International Journal of Computer Integrated Manufacturing
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Open Access funding provided by the Qatar National Library.



  • English


Taylor & Francis

Publication Year

  • 2023

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • College of Engineering - QU