The process of project portfolio selection is crucial in many organizations, especially R&D organizations. There a need to make informed decisions on the investment various projects or lack thereof. As may continue over more than 1 year, and as there are connections between projects, not only decide which invest but also when invest. Since future benefits from be depreciated comparison with...

in the portfolio selection problem, the manager considers several objectives simultaneously such as the rate of return, the liquidity and the risk of portfolios. these objectives are conflicting and incommensurable. moreover, the objectives can be imprecise. generally, the portfolio manager seeks the best combination of the stocks that meets his investment objectives. the imprecise goal program...

The execution of computationally intensive parallel applications in heterogeneous environments, where the quality and quantity of computing resources available to a single user continuously change, often leads to irregular behavior, in general due to variations of algorithmic and systemic nature. To improve the performance of scientific applications, loop scheduling algorithms are often employe...

Management of intellectual capital is an important issue in knowledge intensive organizations. Part of this is the composition of the optimal project portfolio the organization will carry out in the future. Standard methods that guide this process mostly focus on project selection on the basis of expected returns. However, in many cases other strategic factors should be considered in their inte...

This paper deals with multi-period project portfolio selection problem. In this problem, the available budget is invested on the best portfolio of projects in each period such that the net profit is maximized. We also consider more realistic assumptions to cover wider range of applications than those reported in previous studies. A novel mathematical model is presented to solve the problem, con...

in traditional portfolio selection model coefficients often are certain and deterministic, but in real world these coefficients are probabilistic. so decision maker cannot estimate them exactly. financial optimization is one of the most attractive areas in decision under uncertainty. in the portfolio selection problem the decision maker considers simultaneously conflicting objectives such as ra...

In the portfolio selection problem, the manager considers several objectives simultaneously such as the rate of return, the liquidity and the risk of portfolios. These objectives are conflicting and incommensurable. Moreover, the objectives can be imprecise. Generally, the portfolio manager seeks the best combination of the stocks that meets his investment objectives. The imprecise Goal Program...

Selection of a project portfolio with limited resources is an important decision in both public and industrial organizations. Often these decisions are complicated by a high number of project proposals, considerations of multiple criteria and resources, project interactions, uncertain project outcomes and incomplete information about decision maker's (DM's) preferences. Moreover, opportunity co...

Methods for the selection of a research and development (R&D) project portfolio have attracted considerable interest among practitioners and academics. However, these methods have found limited use in practice, partly because they have encountered difficulties in capturing uncertainties and interdependencies related to R&D projects. Motivated by these difficulties, we develop Contingent Portfol...

Process flexibility has evolved into a desired corporate capability as it promises to cope with demand uncertainty and variety. Particularly service processes have a high intrinsic need for flexibility. Many approaches have been proposed to determine the business value and an appropriate level of flexibility for service processes. Most of these approaches focus on a distinct flexibility type an...