Comprehensive View on Architectural Requirements for Maintenance Information Systems

Concepts of Industry 4.0 and digitization are leading to a much higher complexity of production facilities, related processes, and activities such as maintenance. As a result, the demands made on the process of maintenance and the maintenance workers involved are getting more demanding. To meet these requirements, many information systems have been developed with different purposes and technologies. Yet the development of these systems is occurring in isolation and the main challenges of the integration of these maintenance solutions and their information with each other are not addressed. The resulting solutions and their architectures lack a sustainable holistic viewpoint from the start. To solve these challenges and to give developers a framework in which to develop information systems for maintenance, a holistic view of the architectural and requirements is needed. Therefore, a framework for the general requirements of all maintenance information systems has been developed in this paper. To achieve this, a literature review was conducted where the requirements for a broad set of maintenance information systems were gathered and compared with each other. Based on this information, general principles for the architectures of maintenance information systems were derived.

[1]  Andrew Y. C. Nee,et al.  An agent-based platform for Web-enabled equipment predictive maintenance , 2005, IEEE/WIC/ACM International Conference on Intelligent Agent Technology.

[2]  H. Krcmar,et al.  Erstellung einer Referenzarchitektur anhand von individuellen Unternehmensanforderungen , 2017 .

[3]  Oliver Thomas,et al.  Elicitation and Consolidation of Requirements for Mobile Technical Customer Services Support Systems - A Multi-Method Approach , 2013, ICIS.

[4]  I. Hausladen,et al.  E-maintenance platform as a basis for business process integration , 2004, 2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004.

[5]  Diego Gal Ar.  CONTEXT DRIVEN MAINTENANCE: AN eMAINTENANCE APPROACH , 2014 .

[6]  Benoît Iung.  From remote maintenance to MAS-based e-maintenance of an industrial process , 2003, J. Intell. Manuf..

[7]  Benoît Iung,et al.  Conceptual framework for e-Maintenance: Illustration by e-Maintenance technologies and platforms , 2009, Annu. Rev. Control..

[8]  Oliver Thomas,et al.  Information Needs of the Mobile Technical Customer Service -- A Case Study in the Field of Machinery and Plant Engineering , 2015, 2015 48th Hawaii International Conference on System Sciences.

[9]  Soh-Khim Ong,et al.  A context-aware augmented reality system to assist the maintenance operators , 2014 .

[10]  P. Horváth.  Geschäftsmodellinnovationen durch Digitalisierung – Neue Herausforderungen an den Controller , 2017 .

[11]  Jay Lee,et al.  A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems , 2015 .

[12]  Hossam A. Gabbar,et al.  Computer-aided RCM-based plant maintenance management system , 2003 .

[13]  Jay Lee,et al.  Intelligent prognostics tools and e-maintenance , 2006, Comput. Ind..

[14]  Oliver Thomas,et al.  Towards a Mobile Technical Customer Service Support Platform , 2013, MobiWIS.

[15]  Thomas Bauernhansl,et al.  Die Vierte Industrielle Revolution - Der Weg in ein wertschaffendes Produktionsparadigma , 2017, Handbuch Industrie 4.0.

[16]  Gang Niu,et al.  Development of an optimized condition-based maintenance system by data fusion and reliability-centered maintenance , 2010, Reliab. Eng. Syst. Saf..