Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/8600
Title: | Asset management and facility equipment maintenance nexus : maintenance effectiveness |
Authors: | Coastal and Hydraulics Laboratory (U.S.) Foltz, Stuart D. Bislip-Morales, Carlos B. Hammack, E. Allen. |
Keywords: | Civil Works Data Management Facilities Equipment Maintenance (FEM) Asset Management (AM) Locks and Dams Maintenance Effectiveness Review (MER) Navigation structures Hydraulic structures Asset Management |
Publisher: | Construction Engineering Research Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
Series/Report no.: | ERDC TR ; 13-16. |
Description: | Technical Report Abstract: The US Army Corps of Engineers (USACE) has constructed a wide variety of civil works structures. Many of these structures have surpassed their design life and deteriorated to a point that better tools and more extensive analysis are needed to identify the most critical maintenance and repair (M&R) needs. The work documented in this report analyzes how data collected in Facility Equipment Maintenance (FEM) can be used to evaluate the effectiveness of maintenance to improve the condition of lock infrastructure components. This includes analyzing how data already being collected in FEM can be used to evaluate maintenance effectiveness and also what additional data could be collected. In the process of addressing these objectives, numerous limitations in how FEM and Operational Condition Assessment (OCA) could be used to address this question were discovered, and they are documented in this report. The report also discusses numerous ways FEM could be used more effectively to address this question and the general benefit of USACE. A pilot Maintenance Effectiveness Review (MER) was held at a USACE lock and dam project. NOTE: This file is large. Allow your browser several minutes to download the file. |
Rights: | Approved for public release; distribution is unlimited. |
URI: | http://hdl.handle.net/11681/8600 |
Appears in Collections: | Technical Report |
Files in This Item:
File | Description | Size | Format | |
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ERDC-TR-13-16.pdf | 27.06 MB | Adobe PDF | ![]() View/Open |