Describes how a statistical Taguchi approach and a backpropagation neural network model were devised to evaluate the effect of various parameters and identify the optimal parameter setup values in a gas‐assisted injection moulding process. In applying the Taguchi approach, an L 18 orthogonal...

Der vorliegende Beitrag analysiert, wie Organisationen Algorithmen, die wir als digitale Beobachtungsformate verstehen, mit Handlungsfähigkeit ausstatten und damit actionable machen. Das zentrale Argument lautet, dass die soziale Relevanz digitaler Beobachtungsformate sich daraus ergibt, dass...

The hyper-targeted advertising that emerged on digital platforms over the past two decades is now more productively understood as tuned advertising, a dynamic and unfolding process where ads are continuously algorithmically "optimised" to users in real time. Following Rieder and Hofmann (2020),...

The paper contributes to the further development of platform studies by looking at the early stages of development. It draws on insights from an exemplary research and innovation project that aimed to develop a "diversity-aware online social platform". The article takes a co- productive stance....

In this paper, we present a new version of the OPTCON algorithm for the optimal control of nonlinear stochastic systems with special reference to econometric models. It delivers approximate numerical solutions of optimum control problems with a quadratic objective function for nonlinear...

In this thesis an algorithm (MLOPT) for mixed logit models is proposed. Mixed logit models are flexible discrete choice models, but their estimation with large datasets involves the solution of a nonlinear optimization problem with a high dimensional integral in the objective function, which is...