By E. Gilabert, E. Jantunen, C. Emmanouilidis, A. Starr (auth.), Jay Lee, Jun Ni, Jagnathan Sarangapani, Joseph Mathew (eds.)

This textual content represents cutting-edge tendencies and advancements within the rising box of engineering asset administration as awarded on the 6th international Congress on Engineering Asset administration (WCEAM) held in Cincinnati, OH, united states from October 3-5, 2011

The lawsuits of the WCEAM 2011 is a wonderful reference for practitioners, researchers and scholars within the multidisciplinary box of asset administration, masking themes akin to: Asset tracking and clever upkeep; Asset information warehousing, info mining and fusion; Asset functionality and level-of-service versions; layout and lifecycle integrity of actual resources; Deterioration and renovation versions for resources; schooling and coaching in asset administration; Engineering criteria in asset administration; Fault analysis and prognostics; monetary research tools for actual resources; Human dimensions in built-in asset administration; details caliber administration; info platforms and data administration; clever upkeep; clever sensors and units; upkeep concepts in asset administration; Optimization judgements in asset administration; Prognostics & future health administration; hazard administration in asset administration; Strategic asset administration; and Sustainability in asset management.

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In: Proceedings of the intelligent maintenance systems (IMS) international conference, Arles, France, 15–17 July 2004 3. Parida A, Galar D, Berges L (2011) Decision support systems in maintenance: fusion of business data and physical data. In: The 8th international conference on condition monitoring and machinery failure prevention technologies, Cardiff, England, 20–22 June 2011 4. Liyanage JP, Kumar U (2003) Towards a value-based view on operations and maintenance performance management. J Qual Maintenance Eng 9(4):333–350 5.

However, current research is limited to exploring data quality issues in specific phases of the maintenance process. This paper takes a broader perspective and contributes by exploring data quality issues in all phases of the maintenance process. The underlying research was conducted as qualitative case studies at a number of Scandinavian processing industries, where the relevance for data quality issues in maintenance was explored. It was found that data quality issues affected all phases of the maintenance process and that a wide variety of quality issues are required to be stressed.

In the second round, four interviews were conducted with technicians to understand the information flows and IT support for maintenance execution. The interviews were semi-structured with open-ended questions and lasted for about 1 h. The interviews structure was based on the subphases of the maintenance process, see Fig. 1. These themes guided the semi-structured interviews, but were open to pursuing follow-up questions and issues raised by the respondents. All interviews were tape-recorded and followed up during the data analysis.

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