Profitability

Global Value Chains in Times of Covid-19

Global Value Chains in Times of Covid-19

Wie lässt sich die damit verbundene Unsicherheit reduzieren?
Manuel Rupprecht
The SARS-CoV-2 virus poses unexpected challenges for the global economy. Demand for goods collapsed, and supply declined because companies suddenly ran out of employees or intermediate products. As a result, economic indicators turned negative. However, although an economic recovery is now underway, uncertainty about future developments is still on a record high. This is due not least to global value chains. Their disruption was a major factor in the aforementioned distortions, but they are still central to local production.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 1 | Pages 22-26 | DOI 10.30844/I40M_21-1_S22-26
Industry 4.0 to Compensate the Shortage of Skilled Workers

Industry 4.0 to Compensate the Shortage of Skilled Workers

Eine Betrachtung für den deutschen Mittelstand
Günther Schuh ORCID Icon, Patrick Scholz, Thomas Scheuer, Tim Latz
German industrial companies are suffering from an increasing shortage of skilled workers. In order to secure Germany’s existing competitive advantages, suitable solutions have to be carried out to counter this shortage. Technologies in the context of “Industry 4.0” offer promising solutions. Using this technologies, significant productivity improvements as well as higher resource utilization rates can be achieved. However, the main challenge is to identify the right technical solutions for the specific business challenges. In the following, a systematic approach is presented to face these challenges.
Industrie 4.0 Management | Volume 37 | 2021 | Edition 1 | Pages 12-16
Multi-agent Systems in Supply Chain Management

Multi-agent Systems in Supply Chain Management

Alexandra Fiedler, Dirk Sackmann, Hans-Dietrich Haasis
A supply chain is a worldwide network of suppliers, manufacturers, warehouses, distribution centres and retailers through which raw materials are procured, transformed and delivered to customers. In recent years, a new systems approach to supply chain management has emerged at both tactical and operational levels. It views a supply chain as an interaction of intelligent (software) agents that are responsible for one or more activities and interact with other related agents in planning and executing tasks. In this article two application examples of so-called multi-agent systems for supply chain management are presented.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 5 | Pages 43-47
Additive Manufacturing for Industrial Applications

Additive Manufacturing for Industrial Applications

Development of a Methodology for Integrating Added Value into Products by Additive Manufacturing
Thomas Papke, Dominic Bartels, Michael Schmidt, Marion Merklein, Daniel Gerhard, Jonas Baumann, Indra Pitz
Additive Manufacturing has become more important for industrial applications. The technology offers the opportunity of high geometric flexibility and no need of product specific tools including short time to market. The aim is to integrate added value into products by exploiting these possibilities. Therefore, in this work a methodology focusing on these aspects is developed and applied to a structural component.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 4 | Pages 50-54 | DOI 10.30844/I40M_20-4_S50-54
Implementation of Additive Manufacturing

Implementation of Additive Manufacturing

An Analysis of Supply Chain Related Decision Factors of the Implementation Decision
Ralf Elbert, Anne Friedrich, Elisa Schuhmann
Additive manufacturing technologies, such as 3D printing, have reached a stage of performance for industrial application such as small series and spare parts. The adoption of additive manufacturing has so far mostly been investigated from the perspective of individual manufacturing firms. This paper focuses on the identification of overarching influence factors. In a category system, influence factors are analyzed from the perspectives of the supply and demand side, the supply chain actors and flows as well as sustainability, thus contributing to the adoption from a supply chain perspective.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 4 | Pages 30-34
Product Modularization Along the Supply Chain

Product Modularization Along the Supply Chain

How the Implementation Succeeds
Martin Brylowski, Henning Schöpper ORCID Icon, Marwin Krull
The advancing technological change, the globalization of markets as well as increasing customer requirements have led to a significant increase in complexity in manufacturing companies and their supply chains. Companies and entire value chains are countering this development with product modularization strategies. In this context, however, the investigation of the influences of product modularization on the supply chain receives little attention. This can lead to unused potentials and additional risks, such as the loss of core competencies. Therefore, this article deals with necessary processes and success factors that result from a joint consideration of product modularization along the supply chain. On the basis of a systematic analysis of scientific literature and guideline-supported expert interviews, a process model with different phases and steps was developed and currently necessary success factors were identified.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 5 | Pages 50-54 | DOI 10.30844/I40M_19-5_S50-54
Web-based Productivity Analysis

Web-based Productivity Analysis

A Data-Driven Approach for the Design of Production Systems
Constantin Grabner, Robert Glöckner, Hermann Lödding ORCID Icon, Nils Barck
Opportunities arising from new technologies like smart mobile devices and augmented reality have a huge impact on the manufacturing industry but are not taken advantage of when it comes to productivity analysis. As a consequence productivity analyses are rarely used and companies cannot benefit from a systematic approach to tackle improvement processes. This paper presents a productivity analysis method that uses a web-based application for data acquisition and is designed in a way that enables production staff to perform analyses on their own.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 30-34
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
Departure of Logistics

Departure of Logistics

How the block chain will change networked supply chains in the future
Anja Wilde, Jan-Henner Theißen
A powerful cross-organizational collaboration within the global value chain will continue to be a major competitive advantage in the future. The way supply chains are managed today will no longer be sufficient tomorrow. Blockchain technology makes it possible to technologically map intermediary functions without manifesting the market power of just one central platform (intermediary). On the basis of Blockchain-technology, trusting (data-) networks are created across company boundaries. The technology will not solve all operational problems; however, it may help to secure processes and simplify communication.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 43-46
Biointelligent Manufacturing

Biointelligent Manufacturing

A new perspective for sustainable industrial value creation
Robert Miehe, Johannes Full, Thomas Bauernhansl, Alexander Sauer
With digitization, industrial production is already undergoing massive changes. However, the mere introduction of Cyber-Physical systems is not sufficient to address essential challenges of society and companies. This can only be achieved through a systematic application of knowledge about natural processes or nature for the purpose of optimizing industrial manufacturing processes. The result of this biological transformation of industrial value creation is the realization of socalled biointelligent systems.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 1 | Pages 11-14
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