• Meta-Lamarckian-based iterated greedy for optimizing distributed two-stage assembly flowshops with mixed setups 

      Pourhejazy, Pourya; Cheng, Chen-Yang; Ying, Kuo-Ching; Nam, Nguyen Hoai (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-03)
      Integrated scheduling of distributed manufacturing operations has implications for supply chain optimization and requires further investigations to facilitate its application area for various industry settings. This study extends the limited literature of the distributed two-stage production-assembly scheduling problems offering a twofold contribution. First, an original mathematical extension, the ...
    • N-list-enhanced heuristic for distributed three-stage assembly permutation flow shop scheduling 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Fu, Po-Jiu (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-04)
      System-wide optimization of distributed manufacturing operations enables process improvement beyond the standalone and individual optimality norms. This study addresses the production planning of a distributed manufacturing system consisting of three stages: production of parts (subcomponents), assembly of components in Original Equipment Manufacturer (OEM) factories, and final assembly of products ...
    • Tailored Iterated Greedy metaheuristic for a scheduling problem in metal 3D printing 

      Ying, Kuo-Ching; Pourhejazy, Pourya; Huang, Ya-Hsuan (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-24)
      This article contributes to the additive manufacturing-based production planning literature by developing a Mixed-Integer Linear Programming (MILP) formulation for the Identical Parallel 3D-Printing Machines Scheduling Problem considering batching, multiple build platforms of restricted sizes, and sequence-independent setup times. Besides, a customized metaheuristic, named the Tailored Iterated ...