Auflistung nach Schlagwort "DMAIC"
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- ZeitschriftenartikelProcess Mining for Six Sigma(Business & Information Systems Engineering: Vol. 63, No. 3, 2021) Graafmans, Teun; Turetken, Oktay; Poppelaars, Hans; Fahland, DirkProcess mining offers a set of techniques for gaining data-based insights into business processes from event logs. The literature acknowledges the potential benefits of using process mining techniques in Six Sigma-based process improvement initiatives. However, a guideline that is explicitly dedicated on how process mining can be systematically used in Six Sigma initiatives is lacking. To address this gap, the Process Mining for Six Sigma (PMSS) guideline has been developed to support organizations in systematically using process mining techniques aligned with the DMAIC (Define-Measure-Analyze-Improve-Control) model of Six Sigma. Following a design science research methodology, PMSS and its tool support have been developed iteratively in close collaboration with experts in Six Sigma and process mining, and evaluated by means of focus groups, demonstrations and interviews with industry experts. The results of the evaluations indicate that PMSS is useful as a guideline to support Six Sigma-based process improvement activities. It offers a structured guideline for practitioners by extending the DMAIC-based standard operating procedure. PMSS can help increasing the efficiency and effectiveness of Six Sigma-based process improving efforts. This work extends the body of knowledge in the fields of process mining and Six Sigma, and helps closing the gap between them. Hence, it contributes to the broad field of quality management.
- ZeitschriftenartikelWissens- und lernorientierte Instandhaltung unter dem Aspekt zunehmender Digitalisierung(HMD Praxis der Wirtschaftsinformatik: Vol. 58, No. 1, 2021) Huber, Cornelia; Passath, Theresa; Biedermann, HubertDie Digitalisierung bietet Industrieunternehmen eine Vielzahl von Möglichkeiten und Lösungen (z. B. Big Data Analytics, Cloud-Computing, Internet of Things), die mit zunehmenden Anforderungen an das Wissensmanagement verbunden sind. Ein angepasstes Assetmanagement zur Sicherstellung von Markterfolgsfaktoren sind für die Smart Factory unerlässlich. Ein ganzheitliches wertschöpfungsorientiertes Managementkonzept bietet die Lean Smart Maintenance Philosophie, das den geänderten Umfeldbedingungen Rechnung tragend, eine dynamisch anpassbare Instandhaltungsstrategie ermöglicht. Insbesondere die Ressource Wissen gewinnt in Anbetracht einer ständig steigenden Anlagenkomplexität in Form der wissen- und lernorientierten Instandhaltung an Bedeutung, damit zukünftig der Einsatz neuer Technologien nachhaltig wirtschaftlich ist. In diesem Zusammenhang wird nachstehend eine praxisnahe Vorgehensmethodik präsentiert, die die Externalisierung impliziten Wissens durch die Kombination der Wissensbausteine nach Probst mit dem DMAIC-Zyklus unterstützt. Die Digitalisierung induziert geänderte Anforderungen an die Mitarbeiter und Mitarbeiterinnen; geeignete Qualifizierungsmaßnahmen sollten für die bestmögliche Weiterentwicklung der Humanressourcen frühzeitig erkannt und implementiert werden. Digitalization offers industrial companies a multitude of possibilities and solutions (e.g. Big Data Analytics, Cloud Computing, Internet of Things), which are associated with increasing demands on knowledge management. An adapted asset management is essential for Smart Factory to ensure market success factors. The Lean Smart Maintenance philosophy offers a holistic value-added oriented management concept that considers the changed environmental conditions and enables a dynamically adaptable maintenance strategy. In view of the ever-increasing complexity of assets, knowledge as a resource is becoming increasingly important for a knowledge- and learning-oriented maintenance, so that the use of new technologies will be sustainable economical in the future. In this context, a practice-oriented process methodology is presented below that supports the externalization of implicit knowledge by combining the Probst knowledge modules with the DMAIC cycle. Digitization induces changed demands on employees; suitable qualification measures should be recognized and implemented at an early stage to guarantee the best further development of human resources.