Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...

This report deals with issues relating to the growing use of commercially available software adapted / applied to assist in the management of maintenance activities on offshore production installations. HSE has become aware of potential failings and reliability-related problems regarding the use of this software, and of certain industry-based concerns regarding the automation of maintenance sch...

Purpose – The purpose of this paper is to present a study of knowledge management understanding and usage in small and medium knowledge-intensive enterprises. Design/methodology/approach – The study has taken an interpretative approach, using two knowledge-intensive South ISFAHAN (Iran) companies as case studies, both of which are characterized by the need to process and use knowledge on a dail...

The increasing complexity of current software systems is encouraging the development of self-managed software architectures, i.e. systems capable of reconfiguring their structure at runtime to fulfil a set of goals. Several approaches have covered different aspects of their development, but some issues remain open, such as the maintainability or the scalability of self-management subsystems. Ce...

Efficiently, tracking information related to components, materials and equipment from the production/construction phase to operation and maintenance is a challenge in the industries. The industry environment is a natural fit for generating and utilizing instance-level data for decision support. Advanced electronic identification and data storage technologies e.g. radio frequency identification ...

this study shows the usefulness of artificial neural network (ann) in maintenance planning and man-agement. an ann model based on the multi-layer perceptron having three hidden layers and four processing elements per layer was built to predict the expected downtime resulting from a breakdown or a maintenance activity. the model achieved an accuracy of over 70% in predicting the expected downtime.

This technical report identifies issues involved in the acquisition of Computer Aided Software Engineering (CASE) tools. Among the issues identified and discussed are cost, performance, process support, maintenance, data management, tool integration, and standardization. The report concludes with recommendations intended for individuals or groups responsible for acquiring CASE tools.