Industrie 4.0

Influence of Industry 4.0 on Competence and Role Profiles

Influence of Industry 4.0 on Competence and Role Profiles

Disruption of Job Descriptions Due to the Increased Need for IT Skills in the Manufacturing Sector
Christin Schumacher, Hendrik Lager, Philipp Regelmann, Jan Winkels, Julian Graefenstein
In a previous approach of Lager et al. [1], the development of knowledge, competence and role profiles of employee groups in the course of industry 4.0 was studied. Based on that, the role of the overlapping focus IT is to be examined more closely and the analysis is extended to the tactical level using the example of production planning. In addition, the effects of the need for increased IT competence in all areas of the manufacturing industry on the erosion of current role profile boundaries are presented.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 2 | Pages 31-34
Knowledge Management for Industry 4.0

Knowledge Management for Industry 4.0

Herausforderungen und Lösungsansätze
Klaus North, Ronald Maier
The digital interactions along the value chain pose new challenges for managing information and knowledge. The objectives of this article are to describe the changes in knowledge-based value creation induced by digitalisation and to derive fields of action for knowledge management for Industry 4.0. The “knowledge ladder 4.0” shows how digital technologies can transform strategic and operative knowledge management. Subsequently, we offer a framework for the knowledge-oriented design of dynamic digital organisations that consists of three layers of activities for the operation, reflection and design of knowledge management illustrated with leading questions and case examples in order to promote the productive, responsible and sustainable usage of digital technologies.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 2 | Pages 7-12
Potentials and Obstacles for Data Analy-tics in Large Scale Manufacturing

Potentials and Obstacles for Data Analy-tics in Large Scale Manufacturing

Heiner Heimes, Achim Kampker, Ulrich Bührer, Stefan Krotil
Handling increasing complexity is a major challenge within the manufacturing industry. Methods from Industrie 4.0, e. g. data analytics, can support in reducing complexity. Currently, benefits of implementing data analytics within large scale manufacturing are limited. For this purpose, a study regarding the potentials and obstacles for data analytics in large scale manufacturing was conducted. The results of this study show the necessity of adaptive data availability, strategic prioritization as well as scalable data analytics in order for data analytics to be successful.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 57-60 | DOI 10.30844/I40M_19-1_57-60
The Digital Twin Theory – A New View on a Buzzword

The Digital Twin Theory - A New View on a Buzzword

Andreas Deuter, Florian Pethig
The digital twin is supposed to be a major tool for increasing productivity in the age of industrial digitalization. However, there are many heterogeneous definitions about the digital twin. This situation hardly supports the practical digital twin implementation. For this reason, the article introduces a new concept, called the Digital Twin Theory which is a theoretical framework containing several hypotheses about digital twins. The aim of the framework is a better understanding about the digital twin management in practice.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 27-30 | DOI 10.30844/I40M_19-1_S27-30
Systematic Goal Definition in Digital Change

Systematic Goal Definition in Digital Change

Development of a Checklist to Support Digital Change Processes
Lisa Mlekus, Günter W. Maier
Companies are increasingly acquiring new technologies that enable higher quality and efficiency. Every technology adoption is also a change process which affects the employees and their work and thus needs to be managed in an optimal way. This article is focused on the importance of goal definition during a change process. To facilitate this process, a checklist with 81 goals is presented. The checklist was developed based on scientific literature and practice-oriented tools and can be used by project teams to focus their activities on a holistic change process and track the goal progress.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 60-65
Autonomous Systems in Production

Autonomous Systems in Production

Toward a planning and development methodology
Roman Dumitrescu ORCID Icon, Thorsten Westermann, Tommy Falkowski
The performance of assistance systems, especially in the automotive sector, has become an unique selling point. The trend toward Autonomous driving represents the expected impact of innovation resulting from the exploitation of the latest technologies. Besides autonomous driving, other areas of application for autonomous systems could trigger social change - the prime example being industrial production. The following article presents a planning approach tailored to the complex engineering task of planning and designing autonomous systems for industrial applications.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 17-20 | DOI 10.30844/I40M_18-6_17-20
Introduction of Industry 4.0

Introduction of Industry 4.0

Identification of company-specific implementation sequences for Industry 4.0 methods
Christoph Liebrecht, Niklas Böhn, Lena Kiefer, Michael Teufel, Gisela Lanza ORCID Icon
The present paper develops a process model that enables the user to derive companyspecific implementation sequences for Industry 4.0-Methods. The model is based on input parameters. They ensure a realistic simulation and relate the resulting implementation sequence of the Industry 4.0-Methods specifically to the applying company. By applying the developed process model, the uncertainty for companies regarding Industry 4.0 is reduced and a possibility to successfully implement Industry 4.0-Methods is created.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 21-24
Lean-Management and Industry 4.0

Lean-Management and Industry 4.0

Warum Lean-Management eine solide Grundlage für die vierte industrielle Revolution darstellt
Tobias Fischer, Jürgen Köbler
Why Lean-Management is the solid basis for the fourth industrial revolution: The fourth industrial revolution seems to be the current issue number one. Apart from that well-known consultancies determine a not satisfactory level of implementation concerning Lean methods. The question rises to what extent the implementation of Lean Methods is useful for the introduction of industry 4.0 or if these methods can even be seen as a precondition. Therefore, all common Lean principles and methods were contrasted with the principles and technologies of the industry 4.0. In conclusion, Lean Management is a solid basis for the successful implementation of the fourth industrial revolution for the production of the future. Lean Management can finally be seen as the essential precondition.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 53-55 | DOI 10.30844/I40M_18-6_53-55
Social Networks in Logistics and Industry 4.0

Social Networks in Logistics and Industry 4.0

The Usage of Social Networks for Communication Enhances Production and Logistics
Anuschka Huber, Helen Mödinger, Dieter Uckelmann ORCID Icon
Fast-pacing technologies force companies to improve their flexibility. Fluctuating demand and volatile markets require high reactivity. Due to Industry 4.0 and globalization, communication in companies is becoming increasingly important. Social networks can be used to improve the efficiency of in-house communication and create a connection to partners and customers. This paper discusses how social networks can support corporate communication internally as well as externally, with a focus on logistics and production. In this context, practical examples are shown and a self-developed model is presented.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 51-54 | DOI 10.30844/I40M18-5_51-54
Measurement of the Filling Level of Trailers Used in Local Transport

Measurement of the Filling Level of Trailers Used in Local Transport

An overview of existing technologies and a practical test with ultrasonic sensors in automotive logistics
Till Becker, Thorben Funke, Joshua Coordes
In transport logistics the utilization of transports is often unknown. As a consequence it is not possible to use this information during the transport planning phase and it cannot be used for operational transport control. This report describes technologies which can measure the utilization of shipping spaces. Due to the lack of market-ready systems, a new system was developed that uses ultrasonic sensors to determine the transport utilization. The system was built on a trailer and was tested during live operation. It was shown that the system fulfills the given requirements and it is suggested to expand the tests.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 29-32 | DOI 10.30844/I40M18-5_29-32
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