Product Service Systems includes the operation of machinery with maintenance, repairs and other services related. There are several components available in the machines which can be categorized into consumer, industrial products and services. Total predictive maintenance is a method for maintaining and improving the durability of production and quality systems. This leading to overall equipment effectiveness and elimination of waste through lean processes. The research presents a model integrating product service systems, total productive maintenance and overall equipment effectiveness. A tier one rail company chosen as case study to solve maintenance problems on the operational and maintenance problems. Some of the common problems associated with the machines include bearing failure, flange damage, structural fatigue, component malfunction, degradation or wear and system malfunction. It is not all technologies that are relevant to the problems in machines although some can be adapted to solve the problems. Therefore, a need to examine which technologies can be integrated into the machinery arises. The extended usage of machines during production requires managing of the machine fleet leveraging technology to help manufacturers, suppliers, maintenance technicians and the entire value chain to be established for manufacturing and assembled components. This is part of sustainable development goals number nine (9), which is to build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation. The results present improvement and future work for the proposed model.

Keywords

Product service systems, Total productive maintenance, Overall equipment effectiveness, Lean manufacturing and Rail transport.