CHALLENGES OF BRIDGE MAINTENANCE MANAGEMENT IN DEVELOPING COUNTRIES AND NATIONWIDE PRACTICE OF BRIDGE DATABASE PREPARATION SYSTEM IN CAMBODIA

2021 ◽  
Vol 77 (1) ◽  
pp. 70-83
Author(s):  
Masatoshi WATANABE ◽  
Kou IBAYASHI ◽  
Takashi GOSO ◽  
Masaru MINAGAWA
Keyword(s):  
Developing Countries ◽  
Maintenance Management ◽  
Bridge Maintenance

scholarly journals Integration Research and Design of the Bridge Maintenance Management System*

2011 ◽  
Vol 15 ◽  
pp. 5429-5434 ◽  
Author(s):  
Zi-hong Yin ◽  
Yuan-fu Li ◽  
Jian Guo ◽  
Yan Li
Keyword(s):  
Management System ◽  
Maintenance Management ◽  
Bridge Maintenance ◽  
Research And Design

scholarly journals Bridge maintenance management system in consideration of degradation prediction of the RC deck slab

2004 ◽  
Vol 7 ◽  
pp. 1141-1148
Author(s):  
Masayuki Uchiyama ◽  
Makoto Nishiyama ◽  
Hirokazu Hirano ◽  
Naotsugu Sato
Keyword(s):  
Management System ◽  
Maintenance Management ◽  
Bridge Maintenance ◽  
Deck Slab

scholarly journals Practical Application of Database System for Bridge Maintenance Management

2003 ◽  
Vol 12 (0) ◽  
pp. 179-186
Author(s):  
Masaaki Konno ◽  
Haru-nobu Kawaraya ◽  
Ayaho Miyamoto ◽  
Hideaki Nakamura
Keyword(s):  
Database System ◽  
Maintenance Management ◽  
Practical Application ◽  
Bridge Maintenance

Study on in-Service Bridge LCC Decision Model Based on Maintenance Management System

2011 ◽  
Vol 255-260 ◽  
pp. 3933-3937
Author(s):  
Yu Meng Wu ◽  
Jun Chang
Keyword(s):  
Life Cycle ◽  
Life Cycle Cost ◽  
Decision Model ◽  
Management Strategies ◽  
Maintenance Management ◽  
Management Decision ◽  
Maintenance Strategy ◽  
Maintenance Strategies ◽  
Bridge Maintenance ◽  
Optimal Maintenance

In this paper, decision-making tree and Markov process are used to select maintenance strategies of in-service bridges with the minimum LCC (life-cycle cost). Other costs in life cycle are considered comprehensively when establish the model to find the optimal maintenance strategy. Finally, an example is given to verify the efficiency of the model. The research methodology can provide effective support to bridge maintenance management decision-maker for making management strategies.

Markovian Models for Bridge Maintenance Management

1994 ◽  
Vol 120 (1) ◽  
pp. 37-51 ◽  
Author(s):  
William T. Scherer ◽  
Douglas M. Glagola
Keyword(s):  
Maintenance Management ◽  
Markovian Models ◽  
Bridge Maintenance

scholarly journals Multi-criteria Approach for Prioritizing Bridge Maintenance in Developing Country (Case Study of Bali Province, Indonesia)

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Putu Alit Suthanaya ◽  
Ida Bagus Artamana
Keyword(s):  
Developing Countries ◽  
Road Network ◽  
Technical Condition ◽  
Network System ◽  
Economic Activities ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
The Road ◽  
Bridge Maintenance

Transport agencies in developing countries are often faced by the need to maintain a lot of road projects but have limited budget. One important road infrastructure complement is bridge. The bridge is a vital infrastructure facilities for the continuing development of social and economic activities of the region. A serious problem in developing countries such as Indonesia is limited funds available for maintenance. In Bali Province, the priority of bridge maintenance program is prepared based only on the technical condition of the bridge. However, many aspects actually need to be considered. As limited funds available, the objective of this study is to develop bridge maintenance prioritization criteria and rank the bridges to be maintained based on the Analytic Hierarchy Process (AHP) method by using Bali Province as a case study. It was found that the stakeholders for bridge maintenance in Bali Province gave priority to road network system 1.34 times more than movement system, 1.56 times more than land use system and 2.49 times more than institutional system. The road network system was identified as the main factor considered in maintaining bridge in Bali Province. From 86 bridges considered in this study, it was found that 19 bridges were in the very high priority category. It was also found that the ranking of bridge maintenance priority based on the AHP method was very similar to the realized program. 

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