Green scheduling of distributed two-stage reentrant hybrid flow shop considering distributed energy resources and energy storage system
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Engineering,General Computer Science
Reference42 articles.
1. HSSAGA: Designation and scheduling of nurses for taking care of COVID-19 patients using novel method of hybrid salp swarm algorithm and genetic algorithm;Abadi;Applied Soft Computing,2021
2. Research of an integrated decision model for production scheduling and maintenance planning with economic objective;Ao;Computers & Industrial Engineering,2019
3. Flow shop scheduling with grid-integrated onsite wind power using stochastic MILP;Biel;International Journal of Production Research,2018
4. Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints;Chamnanlor;Journal of Intelligent Manufacturing,2017
5. Bi-criteria single-machine batch scheduling with machine on/off switching under time-of-use tariffs;Cheng;Computers & Industrial Engineering,2017
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