共 50 条
- [1] NSGA-III-based multi-objective approach for reconfigurable manufacturing system design considering single-spindle and multi-spindle modular reconfigurable machines [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 128 (5-6): : 2499 - 2524
- [2] Process Plan Generation in Reconfigurable Manufacturing System Composed of Multi-spindle and Modular Reconfigurable Machines [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM21), 2021, : 813 - 817
- [3] Performance Evaluation of Reconfiguration Policy in Reconfigurable Manufacturing Systems including Multi-Spindle Machines: An Assessment by Simulation [J]. APPLIED SCIENCES-BASEL, 2024, 14 (07):
- [4] On Spindles: Single or Multi? Several factors come into play when a machine shop is faced with keeping its single-spindle machines or investing in a multi-spindle unit [J]. MANUFACTURING ENGINEERING, 2024, 173 (01): : 52 - 58
- [5] A multi-objective approach for design of reconfigurable transfer lines [J]. IFAC PAPERSONLINE, 2016, 49 (12): : 509 - 514
- [6] NSGA-II vs NSGA-III for the Sustainable Multi-Objective Process Plan Generation in a Reconfigurable Manufacturing Environment [J]. IFAC PAPERSONLINE, 2021, 54 (01): : 683 - 688
- [7] Multi-Objective optimization and formal specification of reconfigurable manufacturing system using adaptive NSGA-II [J]. PROCEEDINGS OF 2017 FIRST INTERNATIONAL CONFERENCE ON EMBEDDED & DISTRIBUTED SYSTEMS (EDIS 2017), 2017, : 256 - 261
- [8] Modularity assessment in reconfigurable manufacturing system (RMS) design: an Archived Multi-Objective Simulated Annealing-based approach [J]. The International Journal of Advanced Manufacturing Technology, 2018, 94 : 729 - 749
- [9] Modularity assessment in reconfigurable manufacturing system (RMS) design: an Archived Multi-Objective Simulated Annealing-based approach [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 94 (1-4): : 729 - 749
- [10] Multi-objective Reconfigurable Manufacturing System Scheduling Optimisation: A Deep Reinforcement Learning Approach [J]. IFAC PAPERSONLINE, 2023, 56 (02): : 11082 - 11087