Parallel machine scheduling with multiple processing alternatives and sequence-dependent setup times
Author:
Affiliation:
1. Process Platform Research Division, Korea Institute of Industrial Technology, Ansan, Republic of Korea
2. Department of Industrial & Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
Funder
National Research Foundation of Korea
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1781278
Reference37 articles.
1. Design of an efficient genetic algorithm for resource-constrained unrelated parallel machine scheduling problem with machine eligibility restrictions
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