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Remote service concepts for intelligent tool-machine systems

  • Guenther Schuh
  • Kevin Podratz
Conference paper

Abstract

In the near future, tooling companies will offer their customers not just maintenance services, but complex remote service packages for their engineering asset management, which is the total management of physical – not financial – assets [1]. The overall goal is to enhance the efficiency of the engineering asset, e.g. to reduce TCO, on the customers´ site by means of value creating partnerships [14]. These partnerships may be, e.g. the classical output or reliability partnership, but also process optimizing partnerships or lifecycle partnerships [4, 8]. The process optimizing partnership offers, e.g. the optimization of the system’s performance or the output quality, an optimized ramp-up and restart procedure or optimization of the production process parameters. The lifecycle partnership, on the other hand, accompanies the intelligent tool-machine-system throughout the whole lifecycle, which includes, e.g. provision of spare parts during the entire usage phase, storing, refurbishment, recycling and even the support of relocation of production facilities. Intelligent remote services have great potential for realizing all these partnerships. To realize such engineering asset-related partnerships, two major tasks have to be done. First, there has to be the intelligent tool-machine system, which delivers the information that is required for these services. And furthermore, this information has to be integrated into the maintenance processes, so that it is delivered at the right place and time and in the required form. Second, the activities and processes that are combined to the engineering asset-related partnerships have to be configured out of standardized service and process modules. Therefore configuration logic is essential. This paper is based on the results of a research project in which an intelligent tool-machine system is developed and forms the foundation for the development of such asset-related partnerships. So this paper describes the intelligent asset and the different types of partnerships and presents the logic to efficiently configure the required maintenance and business processes.

Keywords

Service System Basic Service Combination Rule Remote Service Service Module 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Guenther Schuh
    • 1
  • Kevin Podratz
    • 1
  1. 1.Research Institute for Operations Management at RWTH Aachen University (FIR)AachenGermany

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