Add to ORKGAbstract: In this paper we examine the Engineering Asset Management (EAM) business process and identify various process areas which are thought to have an impact on the quality of asset information. Therefore, this paper may assist in the enhancement of the collection, storage and use of engineering asset management information with the aim of enhancing the Information Quality (IQ). It is thought that this would lead to an improvement in organisational learning and asset management related decision making
Definitions of asset management tend to be broad in scope, covering a wide variety of areas includin...
Engineering Asset Management (EAM) is concerned with the life cycle management of "engineered" physi...
Historically, asset management focused primarily on the reliability and maintainability of assets; o...
This paper proposes a maturity model for assessing and enhancing the quality of asset information in...
Abstract: Data Quality (DQ) is a critical issue for effective asset management. DQ problems can resu...
This paper reviews the literature about Engineering Asset Management (EAM), the implementation of or...
Researchers have indicated that maintaining the quality of data is often acknowledged as problematic...
A common complaint heard within the engineering asset community is that while the capacity for data ...
© 2013 MIT Information Quality Program. All rights reserved. Engineering asset management (EAM) is t...
The terminology of "Asset Management" (AM) has been widely used in many organizations. It has been g...
A common complaint heard within the engineering asset community is that while the capacity for data ...
Making sound asset management decisions, such as whether to replace or maintain an ageing undergroun...
Data Quality (DQ) has been an acknowledged issue for a long time. Several researchers have indicated...
Abstract: Infrastructure Asset Management (IAM) as a specialised field/discipline has gained promine...
Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering As...
Definitions of asset management tend to be broad in scope, covering a wide variety of areas includin...
Engineering Asset Management (EAM) is concerned with the life cycle management of "engineered" physi...
Historically, asset management focused primarily on the reliability and maintainability of assets; o...
This paper proposes a maturity model for assessing and enhancing the quality of asset information in...
Abstract: Data Quality (DQ) is a critical issue for effective asset management. DQ problems can resu...
This paper reviews the literature about Engineering Asset Management (EAM), the implementation of or...
Researchers have indicated that maintaining the quality of data is often acknowledged as problematic...
A common complaint heard within the engineering asset community is that while the capacity for data ...
© 2013 MIT Information Quality Program. All rights reserved. Engineering asset management (EAM) is t...
The terminology of "Asset Management" (AM) has been widely used in many organizations. It has been g...
A common complaint heard within the engineering asset community is that while the capacity for data ...
Making sound asset management decisions, such as whether to replace or maintain an ageing undergroun...
Data Quality (DQ) has been an acknowledged issue for a long time. Several researchers have indicated...
Abstract: Infrastructure Asset Management (IAM) as a specialised field/discipline has gained promine...
Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering As...
Definitions of asset management tend to be broad in scope, covering a wide variety of areas includin...
Engineering Asset Management (EAM) is concerned with the life cycle management of "engineered" physi...
Historically, asset management focused primarily on the reliability and maintainability of assets; o...