Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines-Reference-Cited by-同舟云学术

Mathematical modelling and optimisation of energy-conscious hybrid flow shop scheduling problem with unrelated parallel machines

Published:2018-07-23 Issue:4 Volume:57 Page:1119-1145
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Meng Leilei¹,Zhang Chaoyong¹,Shao Xinyu¹,Ren Yaping¹,Ren Caile¹

Affiliation:

1. The State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science & Technology, Wuhan, People’s Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

111 Project of China

International Cooperation and Exchange of 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/10.1080/00207543.2018.1501166

Reference54 articles.

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

2. Simulation-based model for the optimization of machining parameters in a metal-cutting operation

3. Energy-efficient bi-objective single-machine scheduling with power-down mechanism

4. Optimization of cutting process by GA approach

5. Dahmus, J. B., and T. G. Gutowski. 2004. “An Environmental Analysis of Machining.” ASME 2004 International Mechanical Engineering Congress and Exposition, Anaheim, CA, USA

Cited by 111 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A single-individual based variable neighborhood search algorithm for the blocking hybrid flow shop group scheduling problem;Egyptian Informatics Journal;2024-09

2. A matheuristic-oriented iterated greedy algorithm for multi-mode resource-constrained project scheduling problem under uncertainty;Computers & Industrial Engineering;2024-07

3. MIP modeling of energy-conscious FJSP and its extended problems:From simplicity to complexity;Expert Systems with Applications;2024-05

4. Energy-saving strategy and method of spindle deceleration during no-load operation of machine tools for energy lean management;Energy Conversion and Management: X;2024-04

5. A dual population collaborative genetic algorithm for solving flexible job shop scheduling problem with AGV;Swarm and Evolutionary Computation;2024-04