CONCLUSION

In the manufacturing industry, effective operations depend on efficient maintenance management, especially when using CNC machining. A structured CNC machining procedure ensures accuracy, productivity, and reliability in output. This covers machining, programming, tooling setup, design, and quality control. From conventional techniques to more modern techniques like Total Productive Maintenance (TPM) and Computerized Maintenance Management Systems (CMMS), maintenance strategies have changed over time. These techniques, which include preventive, predictive, and proactive maintenance, support maximizing production efficiency and minimizing downtime. Through the integration of regular maintenance, real-time monitoring, and data-driven decision-making, manufacturers may increase equipment lifespan, save costs, and improve quality. By implementing TPM concepts like autonomous maintenance and continuous improvement, long-term performance is ensured by developing a collaborative and responsible society.

In order to improve automation and predictive analytics, maintenance management advancements depend on AI, machine learning, and IoT. Real-time monitoring, less handling, and equipment breakdown prediction are all made possible by these advancements, which increase maintenance efficiency. Manufacturers need to adopt new maintenance techniques and digital transformation to stay competitive. Property tracking, work order automation, and preventative maintenance scheduling are all made easier with Fiix CMMS, a top cloud-based maintenance tool.  Organizations may minimize unexpected breakdowns by connecting Fiix CMMS with IoT devices, which gives them immediate insight into equipment power. Fiix CMMS's AI-driven analytics facilitate data-driven decision-making, which improves resource allocation and maintenance procedures. Long-term company sustainability, operational productivity, and equipment performance are all improved by putting intelligent maintenance systems like Fiix CMMS into practice.

Advanced CMMS technology and organized CNC machines significantly improve production performance. Providing resources and managing resources are optimized through the strategic use of Fiix CMMS. Manufacturers may increase productivity and competitiveness through digitalization and proactive maintenance techniques. Organizations may improve flexibility and resilience in an industry that is changing quickly by integrating CNC machining, IoT, AI-driven analytics, and CMMS software. These connections increase machine uptime and overall production in addition to reducing maintenance. Modern maintenance techniques will help companies succeed in the future as competition grows. Reliability, cost-effectiveness, and sustainability are ensured by implementing CMMS software and organized machining procedures, setting up companies for future growth in a manufacturing environment that is always changing.

Fiix Software

REFERENCES

Mobley, R. K. (2002). Maintenance engineering handbook. McGraw-Hill Professional.

Mishra, R.C. (2005). Reliability and Maintenance Engineering, New Age International Publishers, New Delhi.

Nakajima, S. (1988). Introduction to Total Productive Maintenance (TPM). Productivity Press.

Smith, R., & Mobley, K. (2008). Rules of Thumb for Maintenance and Reliability Engineers.    

Smith, J., & Brown, R. (2021). Advanced Manufacturing Scheduling Strategies. Industrial Press.

Jones, P., Taylor, M., & White, L. (2020). Predictive Maintenance in Smart Manufacturing. Springer.