Asset Lifecycle Information Quality Management: A Six-Sigma Approach

Abstract

Asset lifecycle management is information intensive. The variety of asset lifecycle processes generate, process, and analyze enormous amounts of information on daily basis. However, as the volume of information increases so does the risks posed to its quality. In engineering asset management, the issue of information quality has organizational, technical, and human dimensions. In technical terms, this issue has its roots in multiplicity of data acquisition techniques, tools, systems, and methodologies, processing of the data thus captured within an assortment of disparate systems, and lack of integration and interoperability. As a result, the information requirements of asset management processes as well as information stakeholders are not properly fulfilled. This paper proposes a novel approach to resolving the issue of information quality. It takes a product perspective of information and applies six-sigma methodology to information quality management. In doing so, it not only assesses the maturity level of the quality of information, but also provides for the continuous improvement of information quality in asset management information systems.