Dynamic energy-efficient scheduling of multi-variety and small batch flexible job-shop: A case study for the aerospace industry
Author:
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference60 articles.
1. Greedy randomized adaptive searchfor dynamic flexible job-shop scheduling;Adil;Journal of Manufacturing Systems.,2020
2. Almeder, C., Klabjan, D., Traxler, R., and Almada-lobo, B., 2015. Lead time considerations for the multi-level capacitated lot-sizing problem. European Journal of Operational Research. 241, 727–738.https://doi.org/10.1016/j.ejor.2014.09.030.
3. Amir, A., Hideki, K., Kosuke, K., and Masatoshi, S., 2006. Longest path analysis in networks of queues: Dynamic scheduling problems. European Journal of Operational Research. 174, 132–149.https://doi.org/10.1016/j.ejor.2005.02.018.22.
4. A modified Artificial Bee Colony algorithm for real-parameter optimization;Bahriye;Information Sciences.,2012
5. Greedy randomized adaptive ̆ search procedure for simultaneous scheduling of production and preventive maintenance activities in dynamic flexible job shops;Baykasoglu;Soft Computing.,2021
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