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Title: Integrating Maintenance Management Systems with Maintenance Decision Support Systems
Accession Number: 01138088
Record Type: Component
Availability: Find a library where document is available Abstract: During the last decade, many maintenance managers have had the opportunity to work with increasingly sophisticated software systems which assists in keeping track of assets, tracking funding, and making day-to-day maintenance decisions. Two systems in particular are changing maintenance practices by increasing efficiencies and providing new insight into operational planning: the maintenance management system (MMS) and the maintenance decision support system (MDSS). Both MMS and MDSS provide maintenance managers with tools and technologies to maintain a safe and efficient transportation system. MMS sets performance targets, measures outcomes in times of limited budgets, and provides recommendations for tasks with competing needs. MMS now serves as a critical planning and management tool for public agencies, aiding in mid- and long-term maintenance decision making. On the other hand, the MDSS focuses on real-time maintenance decision making, providing decision support for winter maintenance activities. It uses weather forecasts and other data to generate recommendations based upon specific routes and customized rules of practice surrounding maintenance activities. Output from MDSS is used to optimize day-to-day and hour-to-hour anti-icing or deicing operations in winter. And while the current focus of MDSS is on winter maintenance, efforts are underway to expand its functionality to support nonwinter maintenance activities, e.g., determining when it’s best to do crack sealing. For MMS to be effective, it relies on the input of high-quality data on expended resources, materials, and equipment in order to generate completed work activities and budget forecast reports. Such data entry is very time intensive for maintenance personnel, is needed while maintenance personnel are in the midst of fighting a storm, and is prone to errors. Similarly, for MDSS to be effective it needs up-to-date, near-term maintenance needs (i.e., data on the immediate maintenance actions to be taken and their location). Since such data inputs are often the output of the other system, integrating the two systems would minimize time demands for data entry, enable staff to focus on storm fighting, reduce data transfer errors, and lead to improved output from each of the systems. Such results will apply to the whole before–during–after timeline of snow fighting, and will ultimately improve and optimize the efficiency of existing maintenance resources and practices. This paper explores the benefits that may be gained by integrating these two systems, and the technical steps necessary to achieve this integration, building upon the strengths and capabilities of each.
Monograph Title: Monograph Accession #: 01138080
Report/Paper Numbers: MMC09-048
Language: English
Authors: Pisano, Paul AHoffman, William HStern, Andrew DPagination: pp 245-254
Publication Date: 2009-7
Serial: Conference:
12th AASHTO-TRB Maintenance Management Conference
Location:
Annapolis Maryland, United States Media Type: Web
Features: Figures
(4)
TRT Terms: Identifier Terms: Uncontrolled Terms: Subject Areas: Administration and Management; Highways; Maintenance and Preservation; I10: Economics and Administration; I62: Winter Maintenance
Files: TRIS, TRB
Created Date: Aug 5 2009 1:42PM
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