|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|139483||2018||16 صفحه PDF||سفارش دهید||9113 کلمه|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Transportation Research Part A: Policy and Practice, Volume 110, April 2018, Pages 161-176
Rail infrastructure that operates at its optimum will be economical and sustainable and thus positively contribute to the productivity and competitiveness of an economy. The health of rail infrastructure, however, needs to be monitored, measured and maintained, which falls within the remit of asset managers who are often charged with balancing costs, opportunities and risks against the desired performance of the assets and their respective systems at varying levels. Having appropriate and reliable information about an asset is pivotal for enabling asset management to support decision-making, planning and execution of activities and tasks of assets, particularly during operations and maintenance. But, having access to the right information at the right time, has been and remains a pervasive problem, hinders an asset ownerâs ability to ensure their rail infrastructure performance is being optimized. A new approach to facilitate the acquisition and integration of information to support digital asset management (DAM) for rail infrastructure is presented. The research uses a case study to empirically assess the quality of âas-builtâ documentation for electrical systems of Bayswater railway station that forms an integral part of the Forrestfield Airport Linkage project, in Perth Western Australia. Errors, omissions and information redundancy contained within the existing âas-builtâ documentation is quantified. Then, a case for the adoption of a Systems Information Model is put forward as the rail industry moves toward a digital future and seeks to future-proof their assets and networks.