Businesses are increasingly using their enterprise data for strategic decision-making activities. In fact, infor-mation, derived from data, has become one of the most important tools for businesses to gain competitive edge. Data quality assessment has become a hot topic in numerous sectors and considerable research has been carried out in this respect, although most of the existing frameworks often need to be adapted with respect to the use case needs and features. Within this context, this paper develops a methodology for assessing the quality of enterprises ’ daily maintenance reporting, relying both on an existing data quality framework and on a Multi-Criteria Decision Making (MCDM) technique. Our methodology is applied in cooperation wi...
Effective and efficient maintenance requires a proper information logistics, which can be delivered ...
Effective and efficient maintenance requires a proper information logistics, which can be delivered ...
It is now assumed that poor quality data is costing large amounts of money to corporations all over ...
Businesses are increasingly using their enterprise data for strategic decision-making activities. In...
peer reviewedToday’s largest and fastest growing companies’ assets are no longer physical, but rathe...
Data quality (DQ) in maintenance has become an increasinglyimportant aspect to many firms as most of...
Industrial enterprises rely on prediction of market behavior, monitoring of performance measures, ev...
Traditionally, in the maintenance industry, maintenance efficiency is limited by the capability of t...
Today's development environments in the manufacturing industry require different development tools t...
Today’s development environments in the manufacturing industry require different development tools t...
AbstractOrganisations are facing ever more diverse challenges in managing their enterprise systems a...
Part 6: Research in Progress and PracticeInternational audienceMany studies have confirmed the chall...
Organisations are facing ever more diverse challenges in managing their enterprise systems as emergi...
Abstract — It is now assumed that poor quality data is costing large amounts of money to corporation...
Companies store more and more data in their systems but the management of data quality is still ofte...
Effective and efficient maintenance requires a proper information logistics, which can be delivered ...
Effective and efficient maintenance requires a proper information logistics, which can be delivered ...
It is now assumed that poor quality data is costing large amounts of money to corporations all over ...
Businesses are increasingly using their enterprise data for strategic decision-making activities. In...
peer reviewedToday’s largest and fastest growing companies’ assets are no longer physical, but rathe...
Data quality (DQ) in maintenance has become an increasinglyimportant aspect to many firms as most of...
Industrial enterprises rely on prediction of market behavior, monitoring of performance measures, ev...
Traditionally, in the maintenance industry, maintenance efficiency is limited by the capability of t...
Today's development environments in the manufacturing industry require different development tools t...
Today’s development environments in the manufacturing industry require different development tools t...
AbstractOrganisations are facing ever more diverse challenges in managing their enterprise systems a...
Part 6: Research in Progress and PracticeInternational audienceMany studies have confirmed the chall...
Organisations are facing ever more diverse challenges in managing their enterprise systems as emergi...
Abstract — It is now assumed that poor quality data is costing large amounts of money to corporation...
Companies store more and more data in their systems but the management of data quality is still ofte...
Effective and efficient maintenance requires a proper information logistics, which can be delivered ...
Effective and efficient maintenance requires a proper information logistics, which can be delivered ...
It is now assumed that poor quality data is costing large amounts of money to corporations all over ...