A hybrid genetic algorithm with variable neighborhood search for dynamic integrated process planning and scheduling-Reference-Cited by-同舟云学术

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A hybrid genetic algorithm with variable neighborhood search for dynamic integrated process planning and scheduling

Published:2016-12 Issue: Volume:102 Page:99-112
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Xia Hao,Li Xinyu,Gao Liang

Funder

National Natural Science Foundation of China

National Key Technology Support Program

Youth Science & Technology Chenguang Program of Wuhan

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference44 articles.

1. Rescheduling job shops under random disruptions;Abumaizar;International Journal of Production Research,1997

2. Executing production schedules in the face of uncertainties: A review and some future directions;Aytug;European Journal of Operational Research,2005

3. Bidding-based process planning and scheduling in a multi-agent system;Gu;Computers & Industrial Engineering,1997

4. Optimisation of integrated process planning and scheduling using a particle swarm optimisation approach;Guo;International Journal of Production Research,2009

5. Production scheduling/rescheduling in flexible manufacturing;Jain;International Journal of Production Research,1997

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