Proactive maintenance as success factor for use-oriented Product-Service Systems

In use-oriented Product-Service Systems (PSS) the ownership of the product remains with the provider who is responsible for maintenance, repair and overhaul [1]. Thus the risk of machine unavailability is transferred from the customer towards the PSS provider. In order to minimize this risk the provider needs to reduce unscheduled downtimes to enhance machine availability. Hence proactive maintenance is an important success factor for providing this PSS type [2]. In practice, manufacturing equipment providers struggle to derive the required information for providing proactive maintenance from the existing data and thus potentials remain unused. One of the problems for many companies in this context is the missing knowhow for managing and analyzing this high amount of data. This issue is discussed in research and practice under the topic "Big Data" [3]. This paper focusses on discussing different approaches for data gathering, analysis and interpretation as well as associated challenges. Drivers and hindering factors are introduced and solution approaches are provided. These aspects are analyzed in a case study in collaboration with a material handling manufacturer which was conducted in one of the transfer projects of the Collaborative Research Center Transregio 29 which addressed the dynamic interdependencies of products and services in the production area.