We present a tactical decision model for order acceptance and capacity planning that maximizes the expected profits from accepted orders, allowing for regular as well as nonregular capacity. We apply stochastic dynamic programming to determine a profit threshold for the accept/reject decision as...

This paper aims to gain insight into capacity allocation, downsizing decisions and sequencing rules when managing a portfolio of projects. By downsizing, we mean reducing the scale or size of a project and thereby changing the project's content. In previous work, we have determined the amount of...

Hospital capacity planning at the tactical level produces the optimal patient case mix that can be taken care of at a hospital with the associated time-phased allocation of resources. However, different generated scenarios may result in dissimilar effects on the delivery of health care when...