journal article·2024-03-26Open access

Performance Evaluation of Reconfiguration Policy in Reconfigurable Manufacturing Systems including Multi-Spindle Machines: An Assessment by Simulation

Paolo Renna

Applied Sciences· Volume 14· Issue 7

Abstract

Reconfigurable manufacturing systems (RMSs) are extensively studied and employed to address demand uncertainties. RMS machines are designed to be modular and adaptable to changing requirements. A recent innovation is the introduction of multi-spindle reconfigurable machines (MRMTs). This study evaluates the impact of MRMTs’ introduction into an RMS, considering factors such as the number of MRMT machines and reconfiguration policies. A simulation model incorporating failures, process time variability, and part inter-arrival supports the analysis. The numerical results aid decision makers in determining the optimal RMS configuration with MRMTs. The simulation outcomes indicate that a balanced number of multi-spindle machines can significantly enhance performance compared with an unbalanced distribution.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Flexible and Reconfigurable Manufacturing Systems · Product Development and Customization · Manufacturing Process and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Engineering, University of Basilicata, 85100 Potenza, Italy

References (24)

Show source-provided references
1. Implementing Industry 4.0 principles10.1016/j.cie.2021.107379 ↗
2. Towards smart layout design for a reconfigurable manufacturing system10.1016/j.jmsy.2023.03.012 ↗
3. A hybrid framework to prioritize the performance metrics of reconfigurable manufacturing system (RMS) using fuzzy AHP-TOPSIS method10.1007/s00170-022-10440-8 ↗
4. Reconfigurable manufacturing systems: Principles, design, and future trends10.1007/s11465-018-0483-0 ↗
5. A methodology of setting module groups for the design of reconfigurable machine tools10.1007/s00170-019-03337-6 ↗
6. NSGA-III-based multi-objective approach for reconfigurable manufacturing system design considering single-spindle and multi-spindle modular reconfigurable machines10.1007/s00170-023-11847-7 ↗
7. Reconfigurable manufacturing systems: Literature review and research trend10.1016/j.jmsy.2018.09.005 ↗
8. Reconfigurable manufacturing systems from an optimisation perspective: A focused review of literature10.1080/00207543.2020.1813913 ↗
9. Decision-making method of reconfigurable manufacturing systems’ reconfiguration by a Gale-Shapley model10.1016/j.jmsy.2017.09.005 ↗
10. A decision investment model to design manufacturing systems based on a genetic algorithm and Monte-Carlo simulation10.1080/0951192X.2016.1187299 ↗
11. Modularity assessment in reconfigurable manufacturing system (RMS) design: An archived multi-objective simulated annealing-based approach10.1007/s00170-017-0803-2 ↗
12. Modularity-based quality assessment of a disruptive reconfigurable manufacturing system-A hybrid meta-heuristic approach10.1007/s00170-021-07229-6 ↗
13. An improved genetic algorithm for flexible job shop scheduling problem considering reconfigurable machine tools with limited auxiliary modules10.1016/j.jmsy.2022.01.014 ↗
14. Modelling and solving approaches for scheduling problems in reconfigurable manufacturing systems10.1080/00207543.2023.2224446 ↗
15. Integrated production and reconfiguration planning in modular plug-and-produce production systems10.1016/j.cirp.2019.04.087 ↗
16. Configuration selection for a reconfigurable manufacturing flow line involving part production with operation constraints10.1007/s00170-018-2361-7 ↗
17. An integrated approach to optimize the configuration of mass-customized products and reconfigurable manufacturing systems10.1007/s00170-021-06984-w ↗
18. Concurrent optimisation of modular product and Reconfigurable Manufacturing System configuration: A customer- oriented offer for mass customization10.1080/00207543.2021.1886369 ↗
19. Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing10.1080/00207543.2021.1943037 ↗
20. Optimal layout and reconfiguration of a fixturing system constructed from passive Stewart platforms10.1016/j.jmsy.2021.05.020 ↗
21. Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model10.1016/j.rcim.2019.101895 ↗
22. Caesar, B., Tilbury, D.M., Barton, K., and Fay, A. (2022, January 22–24). Requirements for reconfiguration management for manufacturing systems. Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Nantes, France.10.1016/j.ifacol.2022.10.147 ↗
23. Ameer, M., and Dahane, M. (2021, January 13–16). Process Plan Generation in Reconfigurable Manufacturing System Composed of Multi-spindle and Modular Reconfigurable Machines. Proceedings of the 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.10.1109/IEEM50564.2021.9672854 ↗
24. Reconfigurability improvement in Industry 4.0: A hybrid genetic algorithm-based heuristic approach for a co-generation of setup and process plans in a reconfigurable environment10.1007/s10845-021-01869-x ↗