scholarly journals Civil Infrastructure Management Models for the Connected and Automated Vehicles Technology

2019 ◽  
Vol 4 (3) ◽  
pp. 49 ◽  
Author(s):  
John O. Sobanjo
Keyword(s):  
Asset Management ◽  
Civil Infrastructure ◽  
Infrastructure Management ◽  
Automated Vehicles ◽  
Private Industry ◽  
User Costs ◽  
Replacement Model ◽  
Infrastructure System ◽  
Transportation Asset Management ◽  
Age Replacement

The new concept of Connected and Automated Vehicles (CAVs) necessitates a need to review the approach of managing the existing civil infrastructure system (highways, bridges, sign structures, etc.). This paper provides a basic introduction to the CAV concept, assesses the infrastructure requirements for CAVs, and identifies the appropriateness of the existing infrastructure, and needs, in terms of the condition assessment and deterioration modeling. With focus on the Vehicle-to-Infrastructure (V2I) requirements for CAVs, the main elements required on the infrastructure are the Roadside Units (RSUs), which are primarily for communication; they are similar to non-structural transportation assets, such as traffic signals, signs, etc. The ongoing pertinent efforts of agencies and the private industry are reviewed, including the V2I Deployment Coalition (American Association of State Transportation Officials (AASHTO), the Institute of Transportation Engineers (ITE), and the Intelligent Transportation Society of America (ITS America)). Current methods of transportation asset management, particularly, of non-structural elements, are also reviewed. Two reliability-based models were developed and demonstrated for the deterioration of RSUs, including the age replacement model, and a combined survivor function considering the vulnerability of the CAV elements to natural hazards, such as the hurricanes. The paper also discusses the implications of the CAV technology on traffic models, particularly, how it affects user costs’ computations.

scholarly journals Research on Comprehensive Multi-Infrastructure Optimization in Transportation Asset Management: The Case of Roads and Bridges

2019 ◽  
Vol 11 (16) ◽  
pp. 4430 ◽  
Author(s):  
Zhang Chen ◽  
Yuanlu Liang ◽  
Yangyang Wu ◽  
Lijun Sun
Keyword(s):  
Asset Management ◽  
Optimization Model ◽  
Optimization Technique ◽  
Infrastructure Management ◽  
Transportation Assets ◽  
Maintenance And Rehabilitation ◽  
Optimum Order ◽  
Transportation Asset Management ◽  
Order Algorithm

Optimization is the core of transportation asset management, but current optimization approaches are still in the stage of single infrastructure management, which seriously hinders the development and application of transportation asset management. This paper establishes a comprehensive multi-infrastructure optimization model for transportation assets consisting of roads and bridges, which is aimed at achieving the goal of transportation asset comfort, integrity, and security, taking budget funds as constraint conditions, and applying the optimization technique of goal programming and integer programming. An interactive fuzzy linear-weighted optimum-order algorithm is presented to solve the comprehensive optimization model. Finally, the comprehensive multi-infrastructure optimization model and algorithm are verified to be effective by practical data in a case study. The results indicate that the model and algorithm can provide a satisfactory and reasonable maintenance and rehabilitation schedule for transportation asset management agencies.

Risk-Based Planning in Transportation Asset Management: Critical Pitfalls

2015 ◽  
Vol 141 (2) ◽  
pp. 04014080 ◽  
Author(s):  
Richard Sarpong Boadi ◽  
Adjo Amekudzi Kennedy ◽  
Jay Couture
Keyword(s):  
Asset Management ◽  
Transportation Asset Management

scholarly journals Preventive maintenance pada mesin die casting dengan age replacement model untuk peningkatan reliabilitas mesin

2020 ◽  
Vol 12 (1) ◽  
pp. 1
Author(s):  
Andriani Andriani ◽  
Ikhsan Romli
Keyword(s):  
Preventive Maintenance ◽  
Die Casting ◽  
Casting Machine ◽  
Engine Performance ◽  
Cost Savings ◽  
Distribution Patterns ◽  
Distribution Data ◽  
Time Data ◽  
Replacement Model ◽  
Age Replacement

In an industry, the maintenance department plays a very important role in ensuring the smooth production process. The method of machine maintenance with preventive maintenance is a strategy that can be used to repair existing machines. This is related to proper and regular maintenance can improve engine performance and reduce the level of engine damage which will increase the continuity of production activities. In the die casting division of PT Astra Honda Motor in the observation on the die casting machine 07 there were 45 times damage to the ladle component and 11 times the damage to the auto spray component. These two components are critical components of the 07 die casting machine. After testing the compatibility index and the good compatibility of the damage time data and repair time data to obtain distribution data distribution patterns, obtain the tablespoon component MTTF assessment results of 107,833 hours and auto spray components amounting to 314,226 hours. Whereas the MTTR value of the spoon component is 0.385 hours and the auto spray component is 0.766 hours. The next step is to look for critical component replacement time intervals with the age replacement model, to further review whether it is related to increased reliability, decrease in total downtime, and cost savings before preventive maintenance is carried out and after preventive maintenance is carried out.

Effective Optimization of Statistical Decisions for Age Replacement Problems under Parametric Uncertainty

2017 ◽  
pp. 1-16
Author(s):  
N. A. Nechval ◽  
K. N. Nechval
Keyword(s):  
Original Problem ◽  
Decision Rules ◽  
Parametric Uncertainty ◽  
Statistical Technique ◽  
Unknown Parameters ◽  
Sample Statistic ◽  
Invariant Embedding ◽  
Replacement Model ◽  
Statistical Decisions ◽  
Age Replacement

In this chapter, an innovative model for age replacement is proposed. The costs included in the age replacement model are not assumed to be constants. For effective optimization of statistical decisions for age replacement problems under parametric uncertainty, based on a past random sample of lifetimes, the pivotal quantity averaging (PQA) approach is suggested. The PQA approach represents a simple and computationally attractive statistical technique. In this case, the transition from the original problem to the equivalent transformed problem (in terms of pivotal quantities and ancillary factors) is carried out via invariant embedding a sample statistic in the original problem. The approach allows one to eliminate unknown parameters from the problem and to find the better decision rules, which have smaller risk than any of the well-known decision rules. Unlike the Bayesian approach, the proposed approach is independent of the choice of priors. For illustration, numerical examples are given.

scholarly journals Internet of Things adoption for reconfiguring decision-making processes in asset management

2019 ◽  
Vol 25 (3) ◽  
pp. 495-511 ◽  
Author(s):  
Paul Brous ◽  
Marijn Janssen ◽  
Paulien Herder
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Asset Management ◽  
Business Processes ◽  
Research Approach ◽  
Data Provenance ◽  
Civil Infrastructure ◽  
Content Type ◽  
Management Domain ◽  
Decision Making Processes

Purpose Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes. Design/methodology/approach In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived. Findings The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes. Research limitations/implications Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further. Practical implications The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data. Originality/value This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.

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