Even though new processing and packaging equipment today has maintenance tools built in, proper planning and integration into an enterprise maintenance management system makes repair activities easier to track and helps prevent a stockroom full of expensive parts that are never needed.
A well-defined maintenance strategy for industrial equipment and machinery is essential for preventing potentially catastrophic incidents, ensuring safety, and improving efficiency.
Big data and deep learning make artificial intelligence useful to understanding data, making predictions and suggesting recommended actions without explicit human instructions.
Total productive maintenance takes PM to the next level, while integrating CMMS, EAM and ERP systems increases the level of performance of maintenance activities
In Part one of this article, published in the July 2018 issue of Food Engineering, we looked at the costs of reactive maintenance strategies, preventive maintenance (PM), risk-based PM strategies—and whether any form of PM could provide the depth-of-maintenance knowledge as that of a predictive maintenance (PdM) system. In the second part of this article, we’ll look at TPM, integrating CMMS and EAM systems with ERP systems, training and manpower issues and IIoT integration.