BRIDGE MAINTENANCE DECISION-MAKING MODEL

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Wisalee Nimmahnpatchrin ◽  
Ghada M Gad
Keyword(s):  
Decision Making ◽  
Asset Management ◽  
Management Strategies ◽  
Good Condition ◽  
Effective Practices ◽  
Bridge Management ◽  
Bridge Maintenance ◽  
Maintenance Decision ◽  
Decision Making Model

As bridge infrastructure continues to age and deteriorate, maintenance is essential for keeping the bridges in good condition. However, owners have limited funds, thus, they need to select the most suitable maintenance option at the right time to minimize the cost. With all the advancements in processes and tools used to manage the bridge infrastructure, many US States continue to report high numbers of structurally deficient bridges, one of which is California State Department of Transportation (Caltrans). The objective of this study is (1) identifying effective practices used by owners in bridge maintenance management and (2) developing a decision-making model to maintain the bridges, using Caltrans as a case study. To achieve this objective, the methodology of the study is divided into three steps: (1) a review of the current state of practice of bridge maintenance decision-making processes and bridge asset management strategies currently used by US Department of Transportations (DOTs) that had shown improvement in their bridge management strategies, (2) a conducted in-depth case study of the Caltrans maintenance decision-making practices, (3) based on both the review of literature and the data collected from the case study, a revised bridge maintenance decision-making process is developed and presented using a swim lane diagram. The proposed model builds on exiting DOTs’ effective practices and optimizes the selection of bridge maintenance decisions, including repair, rehabilitation, and replacement. The developed maintenance decision-making framework could potentially improve the effectiveness of bridge maintenance operations and help decision-makers effectively select and prioritize the bridge maintenance options.

scholarly journals STANDARDISING MAINTENANCE JOBS TO IMPROVE GROUPING DECISION MAKING

2021 ◽  
Vol 1 ◽  
pp. 2701-2710
Author(s):  
Julie Krogh Agergaard ◽  
Kristoffer Vandrup Sigsgaard ◽  
Niels Henrik Mortensen ◽  
Jingrui Ge ◽  
Kasper Barslund Hansen ◽  
...  
Keyword(s):  
Decision Making ◽  
Tacit Knowledge ◽  
True Variance ◽  
Complex Decision ◽  
Maintenance Decision ◽  
Maintenance Activities

AbstractMaintenance decision making is an important part of managing the costs, effectiveness and risk of maintenance. One way to improve maintenance efficiency without affecting the risk picture is to group maintenance jobs. Literature includes many examples of algorithms for the grouping of maintenance activities. However, the data is not always available, and with increasing plant complexity comes increasingly complex decision requirements, making it difficult to leave the decision making up to algorithms.This paper suggests a framework for the standardisation of maintenance data as an aid for maintenance experts to make decisions on maintenance grouping. The standardisation improves the basis for decisions, giving an overview of true variance within the available data. The goal of the framework is to make it simpler to apply tacit knowledge and make right decisions.Applying the framework in a case study showed that groups can be identified and reconfigured and potential savings easily estimated when maintenance jobs are standardised. The case study enabled an estimated 7%-9% saved on the number of hours spent on the investigated jobs.

Engineering Information Systems to Allow the Integration of Process Monitoring With Asset Management

1997 ◽  
Author(s):  
R. A. Platfoot ◽  
A. Koh ◽  
E. Van Voorthuysen
Keyword(s):  
Decision Making ◽  
Process Monitoring ◽  
Asset Management ◽  
Process Data ◽  
Engineering Information ◽  
Aerosol Cans ◽  
Information Chain ◽  
Wide Readership ◽  
Machine Cell

Abstract A system has been developed whereby process data downloaded from PLC’s is entered into an information chain which incorporates an analysis module which provides tailored reports to a wide readership. The various positions associated with running the factory were analyzed for the types of decisions associated with the job responsibility plus the information necessary to support the decision making. A case study is presented for analyzing aspects of the manufacture of three piece steel aerosol cans. A hardware and software solution was designed, linking a machine cell through the PLC to a operator/process interface.

Group Decision Model Based on Ordered Weighted Distance to Aid Decisions on Logistics

2018 ◽  
Vol 26 (02) ◽  
pp. 233-254 ◽  
Author(s):  
Jose Leao E Silva Filho ◽  
Danielle Costa Morais
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Decision Model ◽  
Group Decision ◽  
Decision Rules ◽  
Decision Makers ◽  
Weighted Distance ◽  
Model Based ◽  
Decision Making Model

This paper presents a group decision-making model using a distance aggregator based on Ordered Weighted Distance (OWD) which offers a solution that can reduce disagreement between decision makers (DMs). This paper discusses decision rules and sets out measures to evaluate compensatory effects that have a bearing on DMs’ opinions. The model uses formulations of distances to reveal the differences in opinion among DMs and discusses the meanings of distance and the information presented by each DM. Finally, a case study of a logistics problem is used to illustrate how the model is applied.

scholarly journals A Novel Maintenance Decision Making Model of Power Transformers Based on Reliability and Economy Assessment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 28778-28790 ◽  
Author(s):  
Manling Dong ◽  
Hanbo Zheng ◽  
Yiyi Zhang ◽  
Kuikui Shi ◽  
Shuai Yao ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Transformers ◽  
Maintenance Decision ◽  
Decision Making Model

scholarly journals A Repeated Game Freeway Lane Changing Model

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1554 ◽  
Author(s):  
Kyungwon Kang ◽  
Hesham A. Rakha
Keyword(s):  
Decision Making ◽  
Repeated Game ◽  
Superior Performance ◽  
Game Model ◽  
Lane Changing ◽  
Agent Based ◽  
Lane Changes ◽  
Payoff Functions ◽  
Decision Making Model

Lane changes are complex safety- and throughput-critical driver actions. Most lane-changing models deal with lane-changing maneuvers solely from the merging driver’s standpoint and thus ignore driver interaction. To overcome this shortcoming, we develop a game-theoretical decision-making model and validate the model using empirical merging maneuver data at a freeway on-ramp. Specifically, this paper advances our repeated game model by using updated payoff functions. Validation results using the Next Generation SIMulation (NGSIM) empirical data show that the developed game-theoretical model provides better prediction accuracy compared to previous work, giving correct predictions approximately 86% of the time. In addition, a sensitivity analysis demonstrates the rationality of the model and its sensitivity to variations in various factors. To provide evidence of the benefits of the repeated game approach, which takes into account previous decision-making results, a case study is conducted using an agent-based simulation model. The proposed repeated game model produces superior performance to a one-shot game model when simulating actual freeway merging behaviors. Finally, this lane change model, which captures the collective decision-making between human drivers, can be used to develop automated vehicle driving strategies.

A multi-criteria decision making model for outsourcing maintenance services

Facilities ◽  
2015 ◽  
Vol 33 (3/4) ◽  
pp. 229-244 ◽  
Author(s):  
Mohammad A. Hassanain ◽  
Sadi Assaf ◽  
Abdul-Mohsen Al-Hammad ◽  
Ahmed Al-Nehmi
Keyword(s):  
Decision Making ◽  
Air Conditioning ◽  
Relative Weight ◽  
Equal Weight ◽  
Multi Criteria Decision Making ◽  
Content Type ◽  
Air Conditioning Systems ◽  
Decision Making Model ◽  
Outsourcing Decision

Purpose – The purpose of this paper is to present the development of a multi-criteria decision-making model for use by maintenance managers to consider before making a decision on outsourcing. Design/methodology/approach – Thirty-eight factors were identified for outsourcing maintenance services. These factors were grouped under six categories, namely: “strategic”, “management”, “technological”, “quality”, “economic” and “function characteristics”. The Analytic Hierarchy Process, as a multi-criteria decision-making model, was introduced and applied as an approach for maintenance managers in Saudi Arabian universities to consider before making a decision on outsourcing. A case study on the outsourcing decision of maintenance services of air-conditioning systems was carried out to apply the developed model. Findings – Data analysis indicated that all outsourcing decision groups of factors have almost equal weight, with the “quality” group of factors having the highest weight and the “technological” group of factors having the least weight. Further, the analysis indicated, in general, that the recommended decision for the maintenance managers is to outsource. However, an application of the developed model through a case study on the outsourcing of maintenance services of air-conditioning systems showed that the recommended action is not to outsource. Originality/value – The presented approach in this paper could be of practical benefit to maintenance managers in their decision making of whether or not to outsource maintenance services. The factors in the model were identified through a literature survey of research carried out in different countries. Therefore, the model could be applied in different settings, depending on the relative weight of the factors by the users.

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