Approach for determining the availability of machine tools based on skill level of operator and service personnel
DOI:
https://doi.org/10.58368/MTT.22.2.2023.67-72Keywords:
Availability, Multi-Objective Optimization, Skill Level, Genetic AlgorithmAbstract
Machine tools (MTs) availability is a critical measure for production scheduling. On the other hand, the machine tool availability depends on its reliability (mean time between failure, MTBF) and maintainability (mean time to repair, MTTR), which depends on multiple factors and uncertainties. One can consider the skill level of operators and service personnel that influence MTBF and MTTR of machine tools, which in turn can affect operating cost. The studies on the effect of the skill level of operators and service personnel on MT availability are limited. Generally, MT availability should be higher to maintain reasonable operating costs. In the current work, a multi-objective optimization (MOO) problem was formulated to maximize the MT availability and minimize the MT life cycle cost, considering the skill levels of the MT operators and service personnel. The results of this study help the management identify the skill level of operators and service engineers for maximum MT availability.
Metrics
References
Fleischer, J., Niggeschmidt, S., &Wawerla, M. (2007). Optimizing the life-cycle-performance of machine tools by reliability and availabilityprognosis.Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses - Proceedings of the 14th CIRP Conference on Life Cycle Engineering, 329-334. https://doi. org/10.1007/978-1-84628-935-4_57
Houshyar, A. (2004). Reliability and maintainability of machinery and equipment, part 1: Accessibility and assessing machine tool R&M performance. International Journal of Modelling and Simulation, 24(4), 201-210. https://doi.org/ 10.1080/02286203.2004.11442304
Houshyar, A. (2005). Reliability and maintainability of machinery and equipment, part 2: Benchmarking, life-cycle cost, and predictive maintenance. International Journal of Modelling and Simulation, 25(1), 1-11. https://doi.org/10. 1080/02286203.2005.11442313
Lad, B. K., & Kulkarni, M. S. (2010). A mechanism for linking user's operational requirements with reliability and maintenance schedule for machine tool.International Journal of Reliability and Safety, 4(4), 343-358. https://doi. org/10.1504/IJRS.2010.035573
Lad, B. K., & Kulkarni, M. S. (2013). Reliability and maintenance based design of machine tools. International Journal of Performability Engineering, 9(3), 321-332.
Misra, K. B. (1974).Reliability design of a maintained system.Microelectronics Reliability, 13(6), 495-500. https://doi.org/10.1016/0026- 2714(74)90438-7
Paman, U., Uchida, S., &Inaba, S. (2011). Operators' capability and facilities availability for repair and maintenance of small tractors in riau province, Indonesia: A case study. Journal of Agricultural Science, 4(3). https://doi. org/10.5539/jas.v4n3p71
Wan, S., Li, D., Gao, J., & Li, J. (2019). A knowledge based machine tool maintenance planning system using case-based reasoning techniques. Robotics and Computer-Integrated Manufacturing, 58, (January), 80-96. https:// doi.org/10.1016/j.rcim.2019.01.012
Zimmerman, R. (2019). Using control charts to increase and monitor employee engagement: A case study. California State University, Dominguez Hills.
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in Manufacturing Technology Today (MTT) Journal are held by the Publisher. Central Manufacturing Technology Institute (CMTI) as a publisher requires its authors to transfer the copyright prior to publication. This will permit CMTI to reproduce, publish, distribute, and archive the article in print and electronic form and also to defend against any improper use of the article.
