Extended Business Rules

In dieser Diplomarbeit wurden der Entwurf, die Implementierung und der Testen des extended Business Rule Managers betrachtet. Dazu wurde zunächst eine grafische Benutzeroberfläche zur Definition Business Regeln bereitgestellt. Dann kamen Web Services als Regel-Prüfer zum Einsatz. Diese Regel-Prüfer müssen nicht nur die erstellten Regeln prüfen, sondern auch sich mit einer Datenbank zur Findung der Werte der operativen Daten verbinden. Schließlich wurde die erstellten Web Services in einem Geschäftsprozess getestet. Darüber hinaus wurden alle benötigen Technologien auch vorgestellt

Development of a mapping system engineering approaches to classic product development processes of technical products: A work project of project management in product development

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThe automotive industry faces the challenge of meeting customer requirements while ensuring technological advancements, fast and cost-effective development, and high-quality production. Information systems play a crucial role in efficiently designing internal processes and meeting customer demands. Personalized solutions are increasingly adopted to cater to individual preferences while maintaining up-to-date technology. Information systems are utilized to record and manage customer requirements, optimize production processes, control inventories, and facilitate effective communication between departments. Product data management (PDM) solutions are widely employed, with 77% of automotive companies implementing them. PDM encompasses the storage and management of data relevant to product development, supporting the entire product lifecycle. As product complexity grows, efficient management of product data becomes essential, along with the optimization of business processes to shorten development time and parallelize tasks. CAx coordination, involving computer-aided design (CAD), manufacturing (CAM), and engineering (CAE), ensures smooth communication and coordination across the product development process. PDM systems act as intermediaries between CAx coordination and enterprise resource planning systems, facilitating seamless integration of design and manufacturing processes. Leading providers of enterprise resource planning and CAD systems offer software solutions for product lifecycle management and PDM, enabling centralized and accessible product information, streamlining development and management processes

Is operational research in UK universities fit-for-purpose for the growing field of analytics?

Over the last decade considerable interest has been generated into the use of analytical methods in organisations. Along with this, many have reported a significant gap between organisational demand for analytical-trained staff, and the number of potential recruits qualified for such roles. This interest is of high relevance to the operational research discipline, both in terms of raising the profile of the field, as well as in the teaching and training of graduates to fill these roles. However, what is less clear, is the extent to which operational research teaching in universities, or indeed teaching on the various courses labelled as analytics , are offering a curriculum that can prepare graduates for these roles. It is within this space that this research is positioned, specifically seeking to analyse the suitability of current provisions, limited to master s education in UK universities, and to make recommendations on how curricula may be developed. To do so, a mixed methods research design, in the pragmatic tradition, is presented. This includes a variety of research instruments. Firstly, a computational literature review is presented on analytics, assessing (amongst other things) the amount of research into analytics from a range of disciplines. Secondly, a historical analysis is performed of the literature regarding elements that can be seen as the pre-cursor of analytics, such as management information systems, decision support systems and business intelligence. Thirdly, an analysis of job adverts is included, utilising an online topic model and correlations analyses. Fourthly, online materials from UK universities concerning relevant degrees are analysed using a bagged support vector classifier and a bespoke module analysis algorithm. Finally, interviews with both potential employers of graduates, and also academics involved in analytics courses, are presented. The results of these separate analyses are synthesised and contrasted. The outcome of this is an assessment of the current state of the market, some reflections on the role operational research make have, and a framework for the development of analytics curricula. The principal contribution of this work is practical; providing tangible recommendations on curricula design and development, as well as to the operational research community in general in respect to how it may react to the growth of analytics. Additional contributions are made in respect to methodology, with a novel, mixed-method approach employed, and to theory, with insights as to the nature of how trends develop in both the jobs market and in academia. It is hoped that the insights here, may be of value to course designers seeking to react to similar trends in a wide range of disciplines and fields