Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems-Reference-Cited by-同舟云学术

Two novel MILP models with different flexibilities for solving integrated process planning and scheduling problems

Published:2022-09-19 Issue: Volume: Page:1-13
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Liu Qihao¹,Li Xinyu¹,Gao Liang¹,Fan Jiaxin¹

Affiliation:

1. State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Program for HUST Academic Frontier Youth Team

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2022.2122738

Reference43 articles.

1. Multi-objective biased randomised iterated greedy for robust permutation flow shop scheduling problem under disturbances

2. A hybrid genetic algorithm for integrated process planning and scheduling problem with precedence constraints

3. Decomposition algorithms for the integrated process planning and scheduling problem

4. Mixed integer linear programming and heuristic methods for feature selection in clustering

5. An introduction of dominant genes in genetic algorithm for FMS

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