Geschäftsmodelle in Industrie 4.0 und dem Internet der Dinge

Kaufmann, Timothy

doi:10.1007/978-3-658-10272-2

Cited by 112 publications

(52 citation statements)

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“…Machines are able to "realize" these tracks and communicate in real time with the corresponding warehouse. Information is primarily used to assess and control current processes [8]. However, a universal definition for the term Industry 4.0 does not exist.…”

Section: Conceptual Backgroundmentioning

confidence: 99%

“…In addition to the seven merely general criteria, we also assessed the models using the four concrete implementation requirements of Industry 4.0 postulated by different German national associations (e.g., VDMA: Mechanical Engineering Industry Association; Bitkom: Federal Association for Information Technology, Telecommunications and New Media; ZVEI: German Electrical and Electronic Manufacturers' Association) (see [6]): 8 The extent of horizontal integration across value networks 9 The extent of vertical integration in the company 10 The extent of product lifecycle management (PLCM) and consistency of engineering 11…”

Section: Criterion Is Fully Addressedmentioning

confidence: 99%

“…PRAGUE, 2017 garding these issues already exist. Those models deal with, e.g., enterprise system landscapes for Industry 4.0 (e.g., [5]), organizational aspects (e.g., [8]) and system-specific aspects in detail (e.g., [17]). However, mapping these maturity models is necessary to combine their different points of view.…”

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confidence: 99%

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Industry 4.0 and Lean Production – A Matching Relationship? An analysis of selected Industry 4.0 models

Leyh¹,

Martin²,

Schäffer³

2017

Annals of Computer Science and Information Systems

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Abstract-The increasing digitalization of business and society has led to drastic changes within companies. Nearly all enterprises are facing enormous challenges dealing with topics such as Industry 4.0/Industrial Internet. With the goal of supporting companies to handle these challenges and "move" in an Industry 4.0 environment, several frameworks or reference models already exist. Here, we share the results of a detailed analysis of selected Industry 4.0 models. In particular, we foster in our analysis Lean Production aspects since the basic principles of Lean Management/Lean Production in existence since the 1980s have yielded appropriate measures to optimize production. These principles can and should be addressed and included by Industry 4.0 models as well. Our study provides a classification of 31 Industry 4.0 models/frameworks as well as the identification of needs for further research to enhance existing Industry 4.0 models more holistically.

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Section: Conceptual Backgroundmentioning

confidence: 99%

Section: Criterion Is Fully Addressedmentioning

confidence: 99%

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Industry 4.0 and Lean Production – A Matching Relationship? An analysis of selected Industry 4.0 models

Leyh¹,

Martin²,

Schäffer³

2017

Annals of Computer Science and Information Systems

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“…30,31 A similar pattern becomes apparent, when we focus on the socioeconomic aspect of industry 4.0. Here, we find far spread concepts for future "work 4.0," 32 disruption in business models, 33,34 sustainability, 35 and in particular, energy management. 36 But the view of Shrouf et al 36 is inconsistent with our understanding as they tie the capabilities to a single factory leaving out the interaction with the energy system.…”

Section: Overview Of Terminologymentioning

confidence: 98%

The Role of a Digital Industry 4.0 in a Renewable Energy System

Scharl

Praktiknjo

2019

Int J Energy Res

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Summary The transition to an intermittent energy production from renewable energy sources (RES) increases the complexity of providing reliable energy supply in Germany. Yet the growing number of RES impede the necessary effort to control the system. The introduction of digital or smart energy systems is often proclaimed as a logical next step towards coping with this rising complexity. It seems convenient that the manufacturing industry, as one of the major energy consumers, is currently also in a process of a digital transition, the fourth industrial revolution. This paper explores the current state of expert discourse on the role of a digitized industry as a potential enabler for the energy transition using Germany as a case study. For this purpose, we gathered qualitative data through semistructured interviews among industry managers and energy researchers. We identified the three major areas in the expert discourse of industry's future potentials: (1) increasing transparency in the energy system, (2) providing demand flexibility, and (3) increasing energy efficiency. In this paper, we address the internal barriers and explore industry's reluctance to interact with the energy system in order to initiate a transition.

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“…Unter dem Schlagwort "Industrie 4.0" (Kagermann et al 2011) werden neu entstehende Smart Factories verstanden, in denen bereichs-und unternehmensübergreifende Leistungserbringungsprozesse durchgängig durch informationstechnische Systeme unterstützt werden.…”

Section: Introductionunclassified