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Heterogeneous Material Order Job Scheduling Problem in Additive Manufacturing

In: Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024)

Author

Listed:
  • Jingwen Guan

    (Nanjing University of Science and Technology, School of Economics and Management)

  • Xiuli Wang

    (Nanjing University of Science and Technology, School of Economics and Management)

Abstract

To enhance the efficiency of additive manufacturing production, this paper establishes a Mixed Integer Linear Programming (MILP) model with the objective of minimizing the maximum completion time in an equivalent parallel additive manufacturing machine environment. The problem is tackled using a particle swarm algorithm, and the results are compared with those obtained from a solver to validate the superiority of the algorithm.

Suggested Citation

  • Jingwen Guan & Xiuli Wang, 2024. "Heterogeneous Material Order Job Scheduling Problem in Additive Manufacturing," Advances in Economics, Business and Management Research, in: Junfeng Liao & Hongbo Li & Edward H. K. Ng (ed.), Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024), pages 437-443, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-488-4_49
    DOI: 10.2991/978-94-6463-488-4_49
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