Effiziente Fabrik 4.0

Abele, Eberhard; Anderl, Reiner; Metternich, Joachim; Wank, Andreas; Anokhin, Oleg; Arndt, Alexander; Meudt, Tobias; Sauer, Markus

doi:10.3139/104.111293

Cited by 22 publications

(4 citation statements)

References 3 publications

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“…With regard to the representation of the current situation, the starting point is the multitude of information and information sources. For example, presenting the current situation requires real-time data from the shop floor [1,31] and information from systems relevant to production (e.g., ERP) [32,33]. This mass of information must be collected, processed and presented in real-time in a form that is comprehensible for the decision maker [19,20,32].…”

Section: Problem Identificationmentioning

confidence: 99%

Design and Implementation of a Decision Support System for Production Scheduling in the Context of Cyber-Physical Systems

Freier¹,

Schümann²

2020

WI2020 Zentrale Tracks

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The use of cyber-physical systems in production promises great potential for production scheduling since a larger information base is available for the scheduling of production orders. However, the mere acquisition of realtime data does not inherently lead to improvements. On the contrary, a targeted preparation of the data is required in order to prevent an information overload. Decision support systems that support decision makers in production scheduling can perform this task. However, the design of such systems in combination with cyber-physical systems has hardly been investigated so far. In this paper, we therefore design and implement a corresponding decision support system in a design science approach. For this, we identify meta-requirements based on a literature analysis and an interview study. Finally, we evaluate the created meta-artifact in a laboratory setting in order to obtain generalizable knowledge about building such a decision support system.

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Section: Problem Identificationmentioning

confidence: 99%

Design and Implementation of a Decision Support System for Production Scheduling in the Context of Cyber-Physical Systems

Freier¹,

Schümann²

2020

WI2020 Zentrale Tracks

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“…-Vertical integration and networked manufacturing systems: The integration of different IT-systems at diverse hierarchy levels in a company, provides real time data of the production. Resources and products are networked, also materials and parts can be located anywhere at any time with CPSs (Abele et al, 2015). -End-to-end engineering across the entire product life-cycle: This describes the intelligent cross-linking and digitalization throughout all phases of a product life cycle -from raw material acquisition to manufacturing, product use and disposal (Acatech, 2015).…”

Section: Concept and Perspectives Of Industry 40mentioning

confidence: 99%

“…Material flows, information flows and financial flows are cooperating in an intelligent way within the company but also beyond the company's borders. Simulations along the entire value network, from supplier to customer, are enabled (Abele et al, 2015).…”

Section: Concept and Perspectives Of Industry 40mentioning

confidence: 99%

Digital Transformation in the Value Chain – Effects on Major Stakeholders

Wilfinger¹

2020

Proceedings of ‏The 6th International Conference on Opportunities and Challenges in Management, Economics and Accounting

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The digital transformation is characterized by a changing process via digital technologies which affects the entire society and especially companies in a significant way. Distinctively not only individual enterprises themselves are involved, moreover the digital automation of various processes has a substantial influence in the complete value chain. Systems are intelligently interconnected with each other and transform into self-organized organizational networks. The horizontal integration, which is one of the main features in the digital transformation process, therefore concerns not just internal stakeholders, moreover all interested groups along the entire lifecycle of products and services are highly related to this change. In order to demonstrate the impact of the digital transformation in the value chain, an empirical study on Austrian industrial companies has been done. Therefore, this paper shows recent developments on suppliers, employees and consumers in research and practice. As a result, an assumption of potential influences of the digital transformation in the value chain is achieved.

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“…At the same time, the archiving of process data is gaining ever more importance under industry 4.0. Under this pretense, the focus is using the part as an information carrier, where the information contained within the part is necessary across different product life cycles [1], [2]. Special interest must be dedicated to the uncertainty of product and process properties from the product creation and usage phases.…”

Section: Introductionmentioning

confidence: 99%

Approach for the Visualization of Geometric Uncertainty of Assemblies in CAD-Systems

Heimrich¹,

Anderl²

2016

JCP

Self Cite

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Abstract:The foundation for the development of successful products is based on knowledge about the characteristics of the product throughout the entire product life cycle. However, uncertainties can arise over the life cycle. These characteristics simultaneously influence each other and therefore the characteristics of the product in the product development and usage phases need to be identified. This uncertainty can have negative economic consequences, such as functional failures or oversizing. In this paper a concept for the visualization of geometric uncertainty of assemblies in CAD-Systems based on ontologies will be presented. This is an approach for visualizing various types of uncertainty of different product life cycle phases to control uncertainty in load-carrying systems during virtual product development. The concept is a part of the research activities of the CRC 805 (Collaborative Research Center 805).

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Effiziente Fabrik 4.0

Cited by 22 publications

References 3 publications

Design and Implementation of a Decision Support System for Production Scheduling in the Context of Cyber-Physical Systems

Design and Implementation of a Decision Support System for Production Scheduling in the Context of Cyber-Physical Systems

Digital Transformation in the Value Chain – Effects on Major Stakeholders

Approach for the Visualization of Geometric Uncertainty of Assemblies in CAD-Systems

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