A systematic literature review on energy-efficient hybrid flow shop scheduling
Author:
Affiliation:
1. Department of Industrial Engineering, Universitas Muhammadiyah Malang, Malang, Indonesia
2. Elementary School Teacher Education Study Program, PGRI University Kanjuruhan Malang, Malang, Indonesia
Funder
funding
Publisher
Informa UK Limited
Subject
General Engineering,General Chemical Engineering,General Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/23311916.2023.2206074
Reference116 articles.
1. A novel Tiki-Taka algorithm to optimize hybrid flow shop scheduling with energy consumption;Ab Rashid M. F. F.;Engineering Applied Science Research,2022
2. Hybrid flowshop scheduling with machine and resource-dependent processing times
3. Flow shop scheduling with grid-integrated onsite wind power using stochastic MILP
4. Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops
5. Multi-objective genetic algorithm for energy-efficient hybrid flow shop scheduling with lot streaming
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3. A modified Aquila optimizer algorithm for optimization energy-efficient no-idle permutation flow shop scheduling problem;Jurnal Sistem dan Manajemen Industri;2023-12-01
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