Techno-mathematical literacies in the workplace: a critical skills gap

There has been a radical shift in the mathematical skills required in modern workplaces. With the ubiquity of IT, employees now require Techno-mathematical Literacies, the mastery of new kinds of mathematical knowledge shaped by the systems that govern their work. The education system does not fully recognise these skills, employees often lack them, and companies struggle to improve them. This project has developed prototype learning resources to train a variety of employees in the mathematical awareness and knowledge that today’s employment require

MEDo: Mobile Technik und Prozessmanagement zur Optimierung des Aufgabenmanagements im Kontext der klinischen Visite

Medical rounds are highly influential in the decision-making process at most wards. In the course of a round, tasks are determined and distributed. But they are not formally organised – instead they are jotted down and thus are prone to errors. Physicians are not notified about new results of tests they have requested. In this work process models for four medical rounds in different wards are presented and analyzed. Based on common features an iPad application, which combines process-supported mobile task management with patient data and information, was developed. User evaluation and usability tests showed that all physicians would introduce such a system on their wards. Findings also showed that they put the input speed on the same level as with that of pen and paper

Managing Process Variants as an Information Resource

Many business solutions provide best practice process templates, both generic as well as for specific industry sectors. However, it is often the variance from template solutions that provide organizations with intellectual capital and competitive differentiation. In this paper, we present a modeling framework that is conducive to constrained variance, by supporting user driven process adaptations. The focus of the paper is on providing a means of utilizing the adaptations effectively for process improvement through effective management of the process variants repository (PVR). In particular, we will provide deliberations towards a facility to provide query functionality for PVR that is specifically targeted for effective search and retrieval of process variants

Data model evolution as a basis of business process management

In this article we propose an approach to business process management which meets the demands of business process evolution. This approach allows for on-the-fy modifications of business processes. In contrast to many other approaches, we do not only concentrate onactivities to be carried out in business processes, but also on the datacreated and manipulated by these activities We propose to apply datamodel analysis and improvement strategies well-known from the information system field in the context of business process management

06261 Abstracts Collection -- Foundations and Practice of Programming Multi-Agent Systems

From 25.06.06 to 30.06.06, the Dagstuhl Seminar 06261 ``Foundations and Practice of Programming Multi-Agent Systems\u27\u27 was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

The Influence of Cutting Parameters on the Surface Quality of Routed Paper Birch and Surface Roughness Prediction Modeling

The objective of this study was to characterize the routing process to better understand the machining conditions that affect surface finish. Experiments were designed to determine the impact of cutting depth, feed speed, and grain orientation of the workpiece on the surface quality of paper birch wood. Statistical analysis showed that the cutting depth did not influence surface finish. Roughness depended greatly on feed speed and grain orientation, increasing linearly as the feed speed increased. The roughest surfaces were obtained by routing against the grain between 120 and 135° grain orientation, depending on the feed speed. Two models able to predict the surface finish based on initial cutting parameters were developed and compared. Both the statistical regression and neural network models were subjected to a validation procedure in which their performance was confirmed using data that were not used for the learning process. Results indicated that the neural network system estimates the surface roughness with less error than the statistical regression model