Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations-Reference-Cited by-同舟云学术

Multi-objective optimisation for energy-aware flexible job-shop scheduling problem with assembly operations

Published:2020-11-02 Issue:23 Volume:59 Page:7216-7231
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Ren Weibo¹,Wen Jingqian¹,Yan Yan¹,Hu Yaoguang¹,Guan Yu¹,Li Jinliang²

Affiliation:

1. Industrial and Systems Engineering Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, People’s Republic of China

2. Lovol Heavy Industry Co., Ltd, Shandong, People’s Republic of China

Funder

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/10.1080/00207543.2020.1836421

Reference59 articles.

1. Recent Research Trends in Genetic Algorithm Based Flexible Job Shop Scheduling Problems

2. A Hybrid and Flexible Genetic Algorithm for the Job-Shop Scheduling Problem

3. Tabu Search and an Exact Algorithm for the Solutions of Resource-Constrained Project Scheduling Problems

4. Machine Sequencing Via Disjunctive Graphs: An Implicit Enumeration Algorithm

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