This handbook provides a critical review and user's guide to conducting and reporting
process tracing studies of decision making. Each chapter covers a specific method that is …

This paper studies the business process known as project management. This process has
exhibited a remarkable growth in business interest over the last 15 years, as demonstrated …

Distributionally robust optimization is a paradigm for decision making under uncertainty
where the uncertain problem data are governed by a probability distribution that is itself …

In this paper we survey the primary research, both theoretical and applied, in the area of
robust optimization (RO). Our focus is on the computational attractiveness of RO …

In this paper we provide a survey of recent contributions to robust portfolio strategies from
operations research and finance to the theory of portfolio selection. Our survey covers …

Although organizations regularly execute projects to improve their performance, there is still
no agreement in the literature on how to evaluate their eventual success. As a result …

We consider a class of routing optimization problems under uncertainty in which all
decisions are made before the uncertainty is realized. The objective is to obtain optimal …

The emergence of bike-sharing systems has considerably improved last-and first-mile
transportation systems. To ensure attractiveness to end users, operators aim to design …

We present a general framework for robust satisficing that favors solutions for which a risk-
aware objective function would best attain an acceptable target even when the actual …

We consider a project selection problem where each project has an uncertain return with
partially characterized probability distribution. The decision maker selects a feasible subset …