THE INFLUENCE OF DIGITALISED MAINTENANCE DATA ON OPTIMISING PREDICTIVE MAINTENANCE IN THE SOUTH AFRICAN PETROCHEMICAL INDUSTRY

This study investigates the impact of digitalising maintenance data on the optimisation of predictive maintenance practices within the South African petrochemical industry. A conceptual model framework was developed through a systematic literature review. The framework explored the relationship between current maintenance practices, centred around Computerised Maintenance Management Systems (CMMS), and the projected benefits of digitalised predictive maintenance. A questionnaire was administered to maintenance and operations personnel to determine the status of maintenance data usage, perceptions of digitalisation benefits and organisational readiness indicators within the South African petrochemical industry. Findings indicate that while maintenance data are already utilised for operational decisions, much of it is manually collected and input into CMMS platforms. There is a clear opportunity for digital transformation, even though the supporting infrastructure remains partially developed. The results affirm that digitalising maintenance data can significantly improve predictive maintenance capabilities and decision-making effectiveness. Recommendations highlight the need for further research into how maintenance personnel, especially those from older or less technologically exposed cohorts, can be supported in embracing digital tools. The study’s managerial implications underscore the necessity for leadership to address human-centric challenges when deploying data-driven maintenance strategies and to foster a culture that enables digital transformation in maintenance environments.