Digitale Transformation

Working in a Volatile Environment

Working in a Volatile Environment

Skills and working models in the age of the digital transformation
Dominik Augenstein, Eugen Wiebe
Through disruptive changes and an increasing globalization, companies have to rethink their traditional working models. Thereby, the digital transformation seems to provide a solid answer to this challenge and enables a rapid adaption to the new circumstances. Humans are of central importance to respond to these changing demands. A challenge hereby is, that humans have to be embedded in such a flexible working environment considering, that the competence profile is changing rapidly. In order to solve these challenges, a competence profile is provided. Furthermore, it is shown that a working model for the digital transformation enables a company to respond quickly and flexibly to new environmental conditions.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 51-54
Competencies for Industrial Work 4.0.

Competencies for Industrial Work 4.0.

Requirements and Status Quo of the Competencies of Young Professionals in NRW
Swetlana Franken ORCID Icon
Industry 4.0 is work in progress in Germany, digital technologies such as IoT, KI, Cloud or Big Data Analytics are increasingly being introduced in companies. However, alongside technology, people and organisation are the central success factors of digital transformation. Further training, lifelong learning, agile organisation and corporate culture are becoming increasingly important in companies. Study results on the competence requirements for industrial work 4.0 show that in addition to IT and technical skills, openness, overview knowledge, interdisciplinary cooperation and agility are also required. Young professionals from NRW largely understand the importance of these competences, but show significant deficits in many of them, especially in digital competences, interdisciplinary cooperation and agility. It is necessary to promote these competences in a targeted manner during studies and further education.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 6 | Pages 21-24
Respond to the Changing Work World with Resilience

Respond to the Changing Work World with Resilience

Operational Measures for Organizational Development
Anika Peschl, Sascha Stowasser
In times of digital transformation, it is important to counteract the associated challenges in the work world. This requires resilience and flexibility on the part of employees. Resilience has a positive effect on the health and performance of individuals. Therefore, organizations should support their employees in developing a positive attitude towards the unknown and increasing complexity, aspects that are often associated with new technologies. In this article, two exemplary corporate actions for organizational development aiming to strengthen the resilience of employees are explained.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 33-36
Digitization, Agility and Training

Digitization, Agility and Training

How They Are Mutually Dependent and a Guide to Achieving Sustained Agility
Tobias Brückmann
The past few years have shown that Digitization is not just a fad of the millennium, but rather the next inevitable step in technological evolution. It was and is a development that affects everything and everyone, both socially and industrially. But digital transformation requires more than just the conversion of individual processes in the company or the introduction of new technologies. Above all, it requires sustained agility in development and production, as well as ongoing employee training in order to be able to meet this demand for agility as a company.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 21-24
How to Design Industry 4.0 by the “Digital Twin”

How to Design Industry 4.0 by the “Digital Twin”

Eine methodische Unterstützung bei der Auswahl der Anwendungen
Claas Steffen Gundlach, Alexander Fay ORCID Icon
The paper presents a method for the systematic selection of “Digital Twin” applications of products. Based on a product-independent search of implementations, potential use cases for the product’s ”Digital Twin” are specified and selected. This selection of applications forms the basis of the method, which allows a detailed modeling in two phases. The result of this modeling is an in-depth understanding of the use cases themselves and their requirements, especially information requirements, on the “Digital Twin” of the product. Furthermore, these findings enable an efficient conception and implementation of the virtual image of the product and can be the basis for optimizing the existing value chain.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 2 | Pages 7-10 | DOI 10.30844/I40M_20-2_S7-10
Managing Digital Transformation

Managing Digital Transformation

Wie Unternehmen die digitale Transformation strukturiert meistern
Roman Dumitrescu ORCID Icon, André Lipsmeier, Thorsten Westermann, Arno Kühn
Digitalization is a strategic core issue that has to be anchored in the strategy of every company. The challenge in this context is that there is no uniform pattern for the digital transformation of a company. Instead, each company has to develop its own company-specific plan how it will position itself in the context of digitalization. Furthermore, the development of an individual digitalization strategy is required. The following article presents a planning approach for the development of such a digitalization strategy, based on three major steps.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 4 | Pages 55-58 | DOI 10.30844/I40M_19-4_S55-58
Industry 4.0 Platforms from the Perspective of SMEs

Industry 4.0 Platforms from the Perspective of SMEs

How to tackle managerial challenges
Julian M. Müller, Johannes W. Veile, Kai-Ingo Voigt
Digitalen Plattformen im Kontext von Industrie 4.0 werden zahlreiche Potenziale zugeschrieben. Allerdings birgt deren Implementierung und Nutzung einige Herausforderungen, insbesondere für kleine und mittlere Unternehmen. Der vorliegende Beitrag untersucht die Herausforderungen durch digitale Plattformen mithilfe von qualitativ-empirischen Interviews von 83 Experten aus mittelständischen deutschen Industrieunternehmen. Die Ergebnisse zeigen, dass unter anderem Herausforderungen in Bezug auf Vertrauen, Konkurrenzdenken und Koordinationsaufwand existieren. Aus den Ergebnissen können strategische Handlungsempfehlungen abgeleitet werden, wie mittelständische Unternehmen den Herausforderungen begegnen können, um die Potenziale von digitalen Plattformen zu heben.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 63-66
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
Digital Lean – The Crossroads-Model for Controlling Material Flows in Production and Logistics Systems

Digital Lean - The Crossroads-Model for Controlling Material Flows in Production and Logistics Systems

Erklärung und Auswahl von Steuerungsansätzen für Produktions- und Logistiksysteme in Zeiten der Digitalisierung
Carsten Feldmann, Ralf Ziegenbein
Methods for monitoring and controlling material flows in a production or logistics system should support objectives like costs and throughput-time. Lean focuses on decentral, demand-driven steering of activities. Advanced manufacturing concepts for Smart Factories rely on innovative digital technologies. Which method is the best fit for steering the material flow? The Crossroads-Model explains different approaches and supports the selection of a suitable method for corporate practice.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 5 | Pages 33-38 | DOI 10.30844/I40M18-5_33-38
Digital assistance systems: Design requirements, classification and applications

Digital assistance systems: Design requirements, classification and applications

Gestaltungsanforderungen, Klassifikation und Anwendungen
Martin Braun ORCID Icon
The application of digital work assistance systems is gaining practical relevance on the shopfloor. Experience shows that the use of a work assistance system orients itself on the individual capabilities of its user and the specific work requirements. This excludes standard solutions. To order the variety of assistive functions in an application context, the assistance systems are classified in the present article. It also discusses the design requirements and applications use from an ergonomic perspective, which places the working man and his individual capabilities, which vary during working life, at the center of consideration. The reader can better assess the potential benefits and application limits of digital work assistance systems in an operational context.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 4 | Pages 11-14
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