“…Against this background and the topic of data analytics, Schmitt et al understand sustainability analytics as a key element for achieving the goal of vertical and horizontal data integration. This includes data-driven methods and tools that transform raw data into information and knowledge on sustainability topics [13].…”
Section: Design Model For the Sustainability Management Of Manufactur...mentioning
This paper presents a design model that supports the systematic steering and operationalization of sustainability in manufacturing industry at all corporate levels. Studies show (e.g. Ramboll Group, Smurfit Kappa) that companies are aware of both the need for and the opportunities of corporate sustainability. Corporate sustainability means improving environmental and social effects as well as conditions, while operating profitably in the long term. However, companies face the challenge of resolving the complexity of corporate sustainability. Due to this challenge, the sustainability management model presented in this paper provides a holistic framework that addresses the relevant elements, fields of action and interrelationships of sustainability management in manufacturing companies. A top-down approach enables the management of sustainability at several corporate levels. In addition, various design elements enable the integration of sub-models through which a further concretization and operationalization of corporate sustainability can be realized.
“…Against this background and the topic of data analytics, Schmitt et al understand sustainability analytics as a key element for achieving the goal of vertical and horizontal data integration. This includes data-driven methods and tools that transform raw data into information and knowledge on sustainability topics [13].…”
Section: Design Model For the Sustainability Management Of Manufactur...mentioning
This paper presents a design model that supports the systematic steering and operationalization of sustainability in manufacturing industry at all corporate levels. Studies show (e.g. Ramboll Group, Smurfit Kappa) that companies are aware of both the need for and the opportunities of corporate sustainability. Corporate sustainability means improving environmental and social effects as well as conditions, while operating profitably in the long term. However, companies face the challenge of resolving the complexity of corporate sustainability. Due to this challenge, the sustainability management model presented in this paper provides a holistic framework that addresses the relevant elements, fields of action and interrelationships of sustainability management in manufacturing companies. A top-down approach enables the management of sustainability at several corporate levels. In addition, various design elements enable the integration of sub-models through which a further concretization and operationalization of corporate sustainability can be realized.
Jüngste technologische Entwicklungen lassen die Menge verfügbarer Daten entlang der Wertschöpfung und Produktnutzung ansteigen. Jedoch fehlt es derzeit an systematischen Ansätzen, um Daten über die eigenen Unternehmensgrenzen hinweg zu integrieren und im Sinne der Fehlerbearbeitung und -prävention zu verwerten. Im Rahmen des Forschungsprojekts „value chAIn“ wird die Erarbeitung eines wertschöpfungsübergreifenden Fehlermanagements angestrebt, welches sowohl eine Optimierung der Prozesse als auch die Verfügbarkeit und Leistung der Produkte einschließt.
Unternehmerische Entscheidungen hängen stark von der Qualität zugrundeliegender Kennzahlen ab, welche basierend auf Daten zu Produkten und Prozessen entlang der Wertschöpfungskette abgebildet werden. Die Qualität dieser Daten ist jedoch häufig unzureichend. Im Rahmen des Beitrags werden Handlungsfelder aufgezeigt und skalierbare Lösungsansätze entwickelt, welche eine verlässliche, kennzahlenbasierte Entscheidungsfindung adressieren. Die positiven Auswirkungen werden am Beispiel eines Verbesserungs- und Digitalisierungsprojektes im Automotive-Sektor aufgezeigt.
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