Integration of Predictive Maintenance and Erp Systems For Smart Manufacturing

Abstract

Contemporary production system strategies have been conducted in coordination with a host of initiatives to optimize efficiency by reducing cycle time and enhancing throughput. Surprisingly, a huge chunk of today’s operational statistics remains particularly hidden and hind some nations who have substantial maintenance infrastructure and workshop capabilities. This realm of research, however, dared to cross those boundaries and aimed at applying predictive maintenance to EPR and therefore creating an entire intelligent industrial environment. This is because, in between the Enterprise Predictive Maintenance and absolute continuity of any other ERP application of the Company, PM falls into the cracks, as stand groups or other components with which PM should have been providing strategic value are not even considered. In this regard, as the concept of integration is quite often astonishing owing to its data analytics components), the paper also explores such aspects as specific implementation challenges, integration layer design, and data quality assurance. The results of this study are contradictory in terms of the use of integrative and stand-alone predictive maintenance systems even though the systems that help in reduction of cycle time control inventory, Refined industrial scheduling and Remembered financial control systems are those that shall be used together with the predictive maintenance systems while the integral systems are more powerful. One of the integral results is that it is not only about how the different devices ‘plug’ and work together”, but it does also involve change and sustainability through out the organization using the factual supported maintenance strategies. The research makes do with academic compromises and directs emphasis to business enterprises on how to migrate to digital technologies by providing answers to the concerns of cyber-physical systems integration.