2016
DOI: 10.3139/104.111458
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Der Digitale Schatten in der Auftragsabwicklung

Abstract: Kurzfassung Im Kontext Industrie 4.0 kommt der Erfassung der anfallenden Daten in der Produktion und deren Nutzung eine zentrale Bedeutung zu. Analysen betrieblicher Daten, welche auf verschiedenen Ebenen generiert werden, lassen Rückschlüsse und Erkenntnisse zur besseren Entscheidungsfindung zu. Die Basis für den Einsatz von Verfahren der Datenanalyse und -auswertung stellt ein hinreichend genaues Abbild der relevanten Daten – der Digitale Schatten – in der Auftragsabwicklung, Produktion, Entwi… Show more

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Cited by 21 publications
(6 citation statements)
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“…Such as production planning or scheduling, detailed environments can be generated in 3D point clouds [11]. Given these technologies, the digital twin has shown that it can deal with complex production and operational problems [12]. The era of Industry 4.0 has led to a paradigm shift in the manufacturing process, which is creating new challenges for industrial enterprises.…”
Section: General Developmentsmentioning
confidence: 99%
“…Such as production planning or scheduling, detailed environments can be generated in 3D point clouds [11]. Given these technologies, the digital twin has shown that it can deal with complex production and operational problems [12]. The era of Industry 4.0 has led to a paradigm shift in the manufacturing process, which is creating new challenges for industrial enterprises.…”
Section: General Developmentsmentioning
confidence: 99%
“…Following Schuh et al [7] and Hill & Berry [6], the term "analytics" refers to the scientific process of mathematically and logically transforming historical data into insights to explain the past, as well as using those insights for better decision making in the future. With increasing maturity of analytical skills, a distinction is made between descriptive (What happened?…”
Section: Analyticsmentioning
confidence: 99%
“…Within the various presented concepts and frameworks [ 34 , 35 , 36 , 37 , 38 , 39 ], automated production systems, including mixed reality assistance systems [ 40 , 41 ], could be rapidly modularized [ 42 ] and reconfigured [ 43 , 44 , 45 ], enhanced with AI [ 46 , 47 ] and sensors [ 48 , 49 ] and, in combination with cloud and edge computing [ 50 ], transformed into distributed control systems, while detailed production environments can be generated and updated in the form of 3D point clouds [ 51 , 52 , 53 , 54 , 55 , 56 ]. Based on these infrastructures, DT demonstrates the capability of handling increasingly complex operational problems, such as production planning and scheduling [ 57 , 58 , 59 , 60 ], production monitoring and control [ 61 , 62 , 63 , 64 , 65 , 66 ], quality control and management [ 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 ], as well as logistics [ 76 , 77 , 78 ], supply chain management (SCM) [ ...…”
Section: Sustainable Resilient Manufacturingmentioning
confidence: 99%