@inproceedings{scholars19792, year = {2024}, journal = {AIP Conference Proceedings}, publisher = {American Institute of Physics}, note = {cited By 0; Conference of 7th International Conference on Green Design and Manufacture 2021, IConGDM 2021 ; Conference Date: 8 September 2021 Through 9 September 2021; Conference Code:198312}, volume = {2750}, number = {1}, doi = {10.1063/5.0182021}, title = {Research advances on the application of FLEXSIM in maintenance processes: A mini review}, abstract = {Manufacturing companies in the current business environment should be more open, more versatile, and more competitive, and these goals can be accomplished by enhancing production and maintenance processes. Simulation is an excellent method used for decades for visualizing, estimating, and evaluating the dynamics of production processes and thereby aiding in the decision-making process. The use of FlexSim DES to improve the performance of manufacturing via maintenance optimization has been summarized in this work. All FlexSim maintenance-based studies have been discussed to provide a better understanding on its application in production optimization. The review shows that, less maintenance research attention has been given to the use of FlexSim for maintenance optimization. Areas such as spare parts inventory management, queue scheduling policy, task allocation, Overall equipment effectiveness (OEE) and process capability (PC) and maintenance planning and scheduling has been successful optimized to improved productivity using FlexSim. However, using FlexSim, so much can be done to solve problems, such as evaluating and identifying the most important Key Performance Indicators (KPIs) for organizations to minimize excessive costs, increase efficiency, enhance product quality without interruption, increase customer satisfaction, and have a better understanding of what kind of maintenance should be used in machinery or in any other field of the industry. This research will be a good guide for researchers to have focus on areas that need to apply the FlexSim simulation software for easy and less time-consuming results. {\^A}{\copyright} 2024 Author(s).}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189299387&doi=10.1063\%2f5.0182021&partnerID=40&md5=ea2f4a4610e9912420da5ef8873ae7ff}, isbn = {9780735448797}, author = {Aliyu, R. and Mokhtar, A. and Hussin, H.}, issn = {0094243X} }