Replacement optimisation for public infrastructure assets: Quantitative optimisation modelling taking typical public infrastructure related features into account

van den Boomen, M (2020) Replacement optimisation for public infrastructure assets: Quantitative optimisation modelling taking typical public infrastructure related features into account. PhD thesis, Delft University of Technology, Netherlands.

Abstract

Ageing infrastructures and shortage of financing induce the need for optimising public infrastructure replacements. From an economic perspective, classical net present value comparison is traditionally the method of choice to decide on investments and replacements. The current research observes that typical infrastructure related features make the classical net present value comparison less suitable in its application for optimising infrastructure replacements. Especially the low discount rate of public sector organisations, price increases and price uncertainty contribute to this phenomenon in which the application of classical net present value comparison leads to suboptimal timing and costs. This observation led to the development of six dedicated replacement optimisation models for common types of infrastructure replacement challenges. A decision support guideline is provided to assist in selecting an appropriate model based on the sequence of intervention strategies, the development of forecasted cash flows and whether uncertainty is involved. The quantitative replacement optimisation models function as blueprints for similar challenges and support a wider decision-making context.

Item Type: Thesis (Doctoral)
Thesis advisor: Bakker, H L M and Kapelan, Z
Uncontrolled Keywords: infrastructure management; replacement optimisation; net present value; public assets; decision support; economic modelling
Index terms: public sector organization, cash flow, intervention strategy, replacement, modelling, decision support, financing, infrastructure management, public infrastructure, net present value, decision-making
Subjects: decision analysis, administrative law, financial risk, economic analysis, analytical methods, financial management, infrastructure engineering, materials science, infrastructure and transport systems
Topics: Risk Management, Engineering Principles, Cost Management, Legal Issues, Business Strategy
Descriptive scope: 2 PC

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