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Für Educational Excellence muss die Ausbildung angehender Akademiker den Spagat zwischen Wissenschaft und Praxis meistern. Einfache Praktika u. a. klassische Ansätze reichen für Educational Excellence, angelehnt an die Anforderungen der Operational Excellence, nicht aus. Vorgestellt wird das an der ESB Business School der Hochschule Reutlingen seit vielen Jahren in der Wirtschaftsingenieurausbildung für Produktion und Logistik in einem Projekt-Masterstudiengang mit vielen Industriepartnern praktizierte kooperative Modell der Educational Excellence.
Mature economies which are driven mainly by small and medium sized enterprises (SMEs) are increasingly becoming dependent on material imports. Global material consumption is ever increasing, mainly driven by population increases. Decoupling of material consumption from economic growth is one of the greatest challenges of the 21st century. Within this paper available methods for the assessment of material efficiency on different economic scales are investigated and those detected that are particulary suitable for the use in SMEs. Recommendations for further improvements of the selected tools and an outlook concerning planned research activities in the field of material efficiency in enterprises, supply chains and circular economy aspects are given.
The increased availability of data gives rise to the use of machine learning methods for purposes like forecasting or quality control in operations management. Practitioners who want to employ these methods are faced with the task of choosing from a large number of available methods. We give an overview of classification methods and available implementations and present considerations for choosing appropriate methods.
Die leistungsfähigen Verfahren des maschinellen Lernens halten unaufhaltsam Einzug in die verschiedensten Anwendungsbereiche im Finanzsektor. Während sie von einer großen Gemeinschaft von Forschern und Anwendern laufend weiterentwickelt werden, nimmt sich auch die Bankenaufsicht dieses Themas aktiv an und bezieht in Richtlinien und Diskussionspapieren Stellung.
In order to decouple economic growth from global material consumption it is necessary to implement material efficiency strategies at the level of single enterprises and their supply chains, and to implement circular economy aspects. Manufacturing firms face multiple implementation challenges like cost limitations, competition, innovation and stakeholder pressure, and supplier and customer relationships, among others. Taking as an example a case of a medium-sized manufacturing company, opportunities to realise material efficiency improvements within the company borders - on the supply chain and by using circular economy measures - are assessed. Deterministic calculations and simulations, performed for the supply chain of this company, show that measures to increase material efficiency in the supply chain are important. However, they need to be complemented by efforts to return waste and used products to the economic cycle, which requires rethinking the traditional linear economic system.
It has not yet been possible to achieve the desired aim of decoupling economic growth from global material demand. Small and medium sized enterprises (SMEs) represent the backbone of most industrialized economies. Although material efficiency is of vital importance for many SMEs, few of them actually treat it as their top priority. There is a cornucopia of tools and methods available, which can be used for material efficiency purposes. These, however, have gained little groud in the SME-field. This work deals with the enabling factors for material efficiency improvements in manufacturing SMEs and projections towards aspects of supply chain and circular economy. A multi-disciplinary decoupling approach for manufacturing SMEs and an implementation roadmap for further practical development are proposed. The approach combines appropriate complexity of technology and socio-economic considerations. It enables a connection to existing methods and the implementation of established information technologies.
Eine Herausforderung im Rahmen aufsichtsrechtlicher Bankenprüfungen, regelmäßiger Validierungen und interner Revisionsprüfungen ist nach Ansicht der beiden Autoren die Prognosefähigkeit eines Ratingverfahrens als objektiv und belastbar zu beurteilen. In ihrem Beitrag untersuchen sie deshalb die unterschiedlichen Vor- und Nachteile maschineller Lernverfahren für die Kreditrisikomessung gegenüber den klassischen Ratingverfahren. Diese seien ein pragmatisches Werkzeug für Validierungseinheiten und interne Revision. Nach genauer Überprüfung der Verfahren kommen sie zu dem Schluss, es sei nicht mehr eine Frage, ob, sondern vielmehr wann die maschinellen Lernverfahren zu einem selbstverständlichen Bestandteil der Kreditrisikomessung werden.