An inherent characteristic of Ramp;D projects is technological uncertainty, which may result in project failure, and time and resources spent without any tangible return. In pharmaceutical projects, for instance, stringent scientific procedures have to be followed to ensure patient safety and...

Concerns with CO2 emissions are creating incentives for the development and deployment of energy technologies that do not use fossil fuels. Indeed, such technologies would provide tangible benefits in terms of avoided fossil-fuel costs, which are likely to increase as restrictions on CO2...

A monopolist typically defers entry into an industry as both price uncertainty and the level of risk aversion increase. By contrast, the presence of a rival typically hastens entry under risk neutrality. Here, we examine these two opposing effects in a duopoly setting. We demonstrate that the...

Traditional real options analysis addresses the problem of investment under uncertainty assuming a risk-neutral decision maker and complete markets. In reality, however, decision makers are often risk averse and markets are incomplete. We confirm that risk aversion lowers the probability of...

We determine the optimal timing for replacement of an emerging technology facing uncertainty in both the output price and the arrival of new versions. Via a sequential investment framework, we determine the value of the investment opportunity, the value of the project, and the optimal investment...

The goal of this article is to survey the relevant literature on project scheduling with possible activity failures from a number of different disciplines, and to distill from these sources the formulation of a general optimization problem, the further study of which we would like to foster...

In the last few decades, several effective algorithms for solving the resource-constrained project scheduling problem have been proposed. However, the challenging nature of this problem, summarised in its strongly NP-hard status, restricts the effectiveness of exact optimisation to relatively...