Urho Pulkkinen

Learn More
This paper studies the design of process-innovation incentives in supplier networks. A real-life case study from the boat-building industry is presented to illustrate the importance of explicitly encouraging suppliers to continuous improvement. Motivated by the case study, we construct a game theory model trying to capture the possible conflicting interests(More)
This paper studies virtual organization (VO) creation through an application of mathematical programming. We present a mixed integer linear programming (MILP) model to support VO configuration in a virtual organization breeding environment (VBE). The model allows for multiple criteria, of which we give several examples: One objective is to minimize total(More)
This paper presents a risk index model that can be used for assessing the safety effect of countermeasures. The model estimates risk in a multiplicative way, which makes it possible to analyze the impact of different factors separately. Expert judgments are incorporated through a Bayesian error model. The variance of the risk estimate is determined by(More)
The paper describes a probabilistic method for transmission grid security evaluation. The most efficient contributions to the system reliability can be found with the probabilistic methods. The method uses event and fault trees and combines them with power system dynamic simulations. Event trees model the substation protection and trip operations after line(More)
This thesis explores the applicability of game theory to the modelling of enterprise networks. Although these networks have traditionally been studied by the qualitative methods of industrial management, the utilisation of game theory seems to provide new tools and solution concepts for studying them. The thesis reviews earlier game theoretic studies on(More)
This paper describes the comparative study of two approaches to estimate pipe leak and rupture frequencies for piping. One method is based on a probabilistic fracture mechanistic model while the other one is based on statistical estimation of rupture frequencies from a large database. In order to be able to compare the approaches and their results, the(More)