A simulation-based optimisation framework for process plan generation in reconfigurable manufacturing systems (RMSs) in an uncertain environment
Author:
Affiliation:
1. Industrial Engineering Department, K. N. Toosi University of Technology, Tehran, Iran
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1883762
Reference25 articles.
1. Bensmaine, A., Mohammed Dahane, and Lyes Benyoucef. 2011. “Simulation-Based NSGA-II Approach for Multi-Unit Process Plans Generation in Reconfigurable Manufacturing System.” IEEE International Conference on Emerging Technologies and Factory Automation, ETFA v. doi: 10.1109/ETFA.2011.6059047.
2. A non-dominated sorting genetic algorithm based approach for optimal machines selection in reconfigurable manufacturing environment
3. A Simulation-based Genetic Algorithm Approach for Process Plans Selection in Uncertain Reconfigurable Environment
4. A new heuristic for integrated process planning and scheduling in reconfigurable manufacturing systems
5. An adapted NSGA-2 algorithm based dynamic process plan generation for a reconfigurable manufacturing system
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