Engineering Project Analysis and Investment Decision-Making under Uncertainty

The present thesis investigates innovative tools for the economic valuation of industrial, engineering, and fi nancial investments and for the selection of technical alternatives, inspired by principles of economic rationality and value creation. Mingling concepts and techniques from engineering economics, mathematics, fi nance, and accounting, the current research introduces, among other results, i) the development of new theoretical and applicative evaluation models for investment projects under uncertainty, ii) the defi nition of new rational criteria and the implementation of new tools for value-creating investment decisions, iii) the application of the innovative logical framework introduced in Magni (2020) connecting operating estimates and fi nancial decisions, iv) new applications of sensitivity analysis to investments for detecting the most influential economic and technical risk factors, and v) refi ned tools for the ex-post performance measurement considering interactions among value drivers. The thesis is structured as a collection of academic papers co-authored during the doctoral course.