Decoding methods for the flow shop scheduling with peak power consumption constraints-Reference-Cited by-同舟云学术

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Decoding methods for the flow shop scheduling with peak power consumption constraints

Published:2019-02-12 Issue:10 Volume:57 Page:3200-3218
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Wang Jing-jing¹^ORCID,Wang Ling¹^ORCID

Affiliation:

1. Department of Automation, Tsinghua University, Beijing, People’s Republic of China

Funder

the Key R&D Project of China

the National Science Fund for Distinguished Young Scholars of China

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1571252

Reference30 articles.

1. Peak Load Management in Electrolytic Process Industries

2. Speed scaling to manage energy and temperature

3. A survey of design techniques for system-level dynamic power management

4. Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops

5. Flow shop scheduling with flexible processing times

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1. Energy-efficient scheduling in an identical parallel machine environment with peak power consumption and deadline constraints;Computers & Operations Research;2024-10

2. The Integrated Scheduling for the Multi-Stage Transshipment System Considering AGVs and ETs;2023 IEEE Symposium Series on Computational Intelligence (SSCI);2023-12-05

3. A problem-specific knowledge based artificial bee colony algorithm for scheduling distributed permutation flowshop problems with peak power consumption;Engineering Applications of Artificial Intelligence;2023-11

4. A knowledge-driven multiobjective algorithm for distributed hybrid flowshop with group and carryover setup in glass manufacturing systems;Computers & Industrial Engineering;2023-07

5. An improved cuckoo search algorithm for the hybrid flow-shop scheduling problem in sand casting enterprises considering batch processing;Computers & Industrial Engineering;2023-02

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