Aspects of Data Quality in eMaintenance: A Case Study of Process Industry in Northern Europe

Abstract

AbstractIncreased environmental awareness in industry combined with the globalized market economy has created an increase in demand for sustainable and efficient resource utilization. In this context, maintenance plays a critical role by linking business objectives to the strategic and operational activities aimed at retaining system availability performance, cost-efficiency, and sustainability. Performing maintenance effectively and efficiently requires corresponding infrastructure for decision-support provided through eMaintenance solutions. A proper eMaintenance solution needs to provide services for data acquisition, data processing, data aggregation, data analysis, data visualization, context-sensing, etc. For Quality of Service (QoS) in eMaintenance solutions, the performance of both system-of-interest, enabling systems, and related processes have to be measured and managed. However, the QoS has to be considered on all aggregation levels and must encompass the aspects of Content Quality (CQ), Data Quality (DQ), and Information Quality (IQ). Hence, the purpose of this paper is to study and describe some aspects of DQ in eMaintenance related to the process industry in northern Europe.KeywordsMaintenance SystemMaintenance TaskMaintenance ProcessInformation LogisticsWork OrderThese 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.