Heterogeneous Material Order Job Scheduling Problem in Additive Manufacturing

Jingwen Guan () and Xiuli Wang ()
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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

A chapter in Proceedings of the 2024 2nd International Conference on Digital Economy and Management Science (CDEMS 2024), 2024, pp 437-443 from Springer

Abstract: 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.

Keywords: Additive manufacturing; Production planning; Scheduling; Particle swarm optimization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-488-4_49

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DOI: 10.2991/978-94-6463-488-4_49

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