Jawad, D J (2003) Life cycle cost optimization for infrastructure facilities. PhD thesis, Rutgers The State University of New Jersey, School of Graduate Studies, USA.
Abstract
Life cycle cost optimization is one of the most renowned concepts used for achieving sustainable infrastructures. The research presented herein involves the development of a hybrid model (LCCOM) for optimizing life cycle cost in transportation infrastructure, particularly for pavement structures at the project-level. The basic output of the LCCOM is the life cycle strategy for an infrastructure facility that can bring about the highest gains to the society. The LCCOM is formulated as a mixed-integer nonlinear optimization model. The formulation derives its analytical framework from the economic theory of life cycle cost analysis. It integrates an array of engineering and economic models that dynamically interrelate over the life cycle of the facility. These models include pavement performance prediction, traffic analysis, cost and effectiveness of rehabilitation activities, costs to users, accidents costs, agency costs, and discounting models. The LCCOM employs evolutionary algorithms, namely genetic algorithms as the search tool for arriving at the optima. Optimization in the LCCOM is fundamentally driven by the tradeoff between the agency costs and the monetary worth of the societal costs. This intrinsic tradeoff in the LCCOM counterbalances the need for including undue constraints and, hence, enhances the performance of the genetic algorithms to a great extent. A distinct feature of the LCCOM is the pairing of the genetic algorithm as an optimization tool with Monte Carlo simulations as a risk analysis technique. This feature enhances the capabilities of the LCCOM in carrying out the optimization probabilistically and thus takes into account the inherent uncertainties that exist in the assumptions column of the problem. The research presented in this dissertation validates the probabilistic optimization in infrastructure management and opens the door to further explorations of the potentials of this tool. In addition to the development of the LCCOM, other major outcomes of the conducted research include: (1) a concise manuscript that establishes the guidelines for conducting life cycle cost analysis in pavement projects; (2) a meticulous study on how to choose the discount rate when performing life cycle cost analysis (LCCA) for transportation projects; and (3) a back-to-basics analysis of the appropriate discount rate for the evaluation of the emerging intelligent transportation systems.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Ozbay, K |
| Uncontrolled Keywords: | genetic algorithms; optimization; economic theory; pavement; traffic; cost optimization; infrastructure management; life cycle; rehabilitation; cost analysis; life cycle cost; risk analysis; Monte Carlo simulation; simulation |
| Index terms: | exploration, agency, risk analysis, analytical framework, society, genetic algorithm, cost optimization, cost analysis, tradeoff, column, life cycle cost, strategy, transportation project, effectiveness, transportation infrastructure, dissertation, infrastructure management, performance prediction, economic theory, life cycle cost analysis, Monte Carlo simulation, evolutionary algorithm, economic model, life cycle |
| Subjects: | modelling and simulation, environmental resource management, data analysis and analytics, economic analysis, financial and cost management, research dissemination and communication, value management, sociology, decision analysis, infrastructure and transport systems, communities and social development, environmental hazards, structural engineering, management, economics, performance management, research methods, algorithms, infrastructure engineering |
| Topics: | Quality Management, Engineering Principles, Project Management, Risk Management, Sustainability, Digital Applications, Business Strategy, Cost Management, Research Practice, Stakeholder Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here