Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach-Reference-Cited by-同舟云学术

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Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach

Published:2016-12-23 Issue:11 Volume:55 Page:3173-3196
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zhang Sicheng¹,Wong Tak Nam²

Affiliation:

1. National Center of Mathematics and Interdisciplinary Sciences, Academy of Mathematics & System Sciences, China Academy of Sciences, Beijing, China

2. Department of Industrial & Manufacturing System Engineering, The University of Hong Kong, Hong Kong, HKSAR of China

Funder

Research Grants Council of Hong Kong

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1267414

Reference33 articles.

1. Dynamic job-shop scheduling using reinforcement learning agents

2. Executing production schedules in the face of uncertainties: A review and some future directions

3. A bio-inspired mobile agent-based integrated system for flexible autonomic job shop scheduling

4. Production rescheduling for machine breakdown at a job shop

5. A discrete time reactive scheduling model for new order insertion in job shop, make-to-order industries

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1. A matheuristic with re-lot-sizing strategies for flexible job-shop rescheduling problem with lot-streaming and machine reconfigurations;European Journal of Operational Research;2024-12

2. Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning;Advanced Engineering Informatics;2024-10

3. Assessing the level of centralisation in scheduling decisions: The role of hybrid approaches;Journal of Industrial Information Integration;2024-09

4. A two-level evolutionary algorithm for dynamic scheduling in flexible job shop environment;Evolutionary Intelligence;2024-08-23

5. Enhancing stability and robustness in online machine shop scheduling: A multi-agent system and negotiation-based approach for handling machine downtime in industry 4.0;European Journal of Operational Research;2024-07

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