Typical decision problems in companies in the forest sector are sequential. Important information, which was not available when the first decisions in the chain were taken, becomes available before the final decisions have to be made. The optimal decisions can usually not be found via deterministic multi period optimisation methods. This paper focuses on a linear programming approach to the tru...

Sequence alignment is an important operation in computational biology. Both dynamic programming and A* heuristic search algorithms for optimal sequence alignment are discussed and evaluated. Presented here are two new algorithms for optimal pairwise sequence alignment which outperform traditional methods on very large problem instances (hundreds of thousands of characters, for example). The tec...

In this paper we present the problem of combining optimal control with efficient information gathering in an uncertain environment. We assume that the decision maker has the ability to choose among a discrete set of sources of information, where the outcome of each source is stochastic. Different sources and outcomes determine a reduction of uncertainty, expressed in terms of constraints on sys...

We consider a single stock point for a repairable item. The repairable item is a critical component that is used in a fleet of technical systems such as trains, planes or manufacturing equipment. A number of spare repairables is purchased at the same time as the technical systems they support. Demand for those items is a Markov modulated Poisson process of which the underlying Markov process ca...

In this study, by integrating preventive maintenance (PM) into a two-dimensional warranty region, with customized PM (2D PM) is proposed from the manufacturer’s perspective to reduce cost. The cost of 2D derived. tradeoff between and minimal repair saving obtained choosing proper reliability threshold number PMs, advantage illustrated. Second, post-warranty period, bivariate (BPWM) policy consu...

In this paper, we identify sufficient conditions under which static teams and a class of sequential dynamic teams admit team-optimal solutions. We first investigate the existence of optimal solutions in static teams where the observations of the decision makers are conditionally independent given the state and satisfy certain regularity conditions. Building on these findings and the static redu...