Published since January 1, 1956

Zeitschrift für wirtschaftlichen Fabrikbetrieb

ISSN: 2511-0896

Edited by: Oliver Riedel, Wolfram Volk, Michael Zäh

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About this journal

ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb provides expert articles on recent developments in production engineering as well as on industrial service processes. The magazine addresses companies’ executives and specialists in research and development.
The main emphasis is put on the efficiency of production processes and cost reduction. Attention is also dedicated to manpower as being a key factor for the successful implementation of new production technology. Modern and efficient plant management increasingly requires a holistic approach, which is the canon for the editorial work of ZWF. Published in German only.
All articles are subject to thorough, independent peer review.

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Volume 119 (2024)

Volume 118 (2023)

Volume 117 (2022)

Volume 116 (2021)

Volume 115 (2020)

Volume 114 (2019)

Volume 113 (2018)

Volume 112 (2017)

Volume 111 (2016)

Volume 110 (2015)

Volume 109 (2014)

Volume 108 (2013)

Volume 107 (2012)

Volume 106 (2011)

Volume 105 (2010)

Volume 104 (2009)

Volume 103 (2008)

Volume 102 (2007)

Volume 101 (2006)

Volume 100 (2005)

Volume 99 (2004)

Volume 98 (2003)

Volume 97 (2002)

Volume 96 (2001)

Volume 95 (2000)

Volume 94 (1999)

Volume 93 (1998)

Volume 92 (1997)

Volume 91 (1996)

Volume 90 (1995)

Volume 89 (1994)

Volume 88 (1993)

Volume 87 (1992)

Volume 86 (1991)

Volume 85 (1990)

Volume 84 (1989)

Volume 83 (1988)

Volume 82 (1987)

Volume 81 (1986)

Volume 80 (1985)

Volume 79 (1984)

Volume 78 (1983)

Volume 77 (1982)

Volume 76 (1981)

Volume 74 (1979)

Volume 72 (1977)

Volume 71 (1976)

Volume 70 (1975)

Volume 69 (1974)

Volume 68 (1973)

Volume 67 (1972)

Volume 64 (1969)

Volume 62 (1967)

Volume 61 (1966)

Volume 56 (1957)

Volume 55 (1956)

CiteScore	0.9	2022, Scopus (Elsevier B.V., 2023)
SCImago Journal Rank	0.272	2022, SJR (Scimago Lab, 2023; Data Source: Scopus)
Source Normalized Impact per Paper	0.502	2022, CWTS Journal Indicators (CWTS B.V., 2023; Data Source: Scopus)

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Manuscript submission

You can easily submit your manuscript online. Simply go to https://mc.manuscriptcentral.com/zwf and you will be guided through the whole submission and publishing process.

If you have questions, please contact: Dipl.-Ing. Yetvart Ficiciyan (zwf@mediatech-berlin.de)

Your benefits of publishing with us

Rapid online publication ahead-of-print with short turnaround times
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Free publication of color figures both in online and print editions and no page charges
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Submission process

Check that your topic fits the scope of the journal
Manuscript formatting should conform to our Style Guides
Please submit your article to: zwf@mediatech-berlin.de
A directly printable version of the contribution is required to be forwarded for refereeing
The editorial office will forward your manuscript for peer-review. This takes on average 4 to 6 weeks until a first decision is reached
You will be informed by e-mail if your manuscript has been accepted or rejected or if it requires further attention
When manuscripts are accepted subject to revision, the revised manuscript should be returned within approx. one month
If accepted: you have the option to publish it open access

Please note

Before submitting your article please have a look at our Publication Ethics Statement and our copyright agreement
Manuscripts must be written in clear and concise English
Once your article is accepted you have the option to publish it open access
Our repository policy allows you to distribute 30 PDF copies of your published article to colleagues (the PDF has to include the information that it is an author's copy). Please also feel free to distribute the link to the online abstract
If you have any general questions please visit our FAQ page for authors

We look forward to receiving your manuscript!

Hybrid Open Access

For complete details on hybrid open access publishing at De Gruyter please see: https://www.degruyter.com/page/560

Effective 1st January 2016, authors from an institution affiliated with either the Association of Dutch Universities (VSNU), the Consortium of Swiss Academic Libraries or some UK libraries participating in the Jisc Collections SMP 　may publish primary research and review articles open access in any of De Gruyter’s OnlineOpen journals at a discount of 90% of the APC price. For more information and to confirm whether your institution is eligible please see the following:

The Netherlands: https://www.degruyter.com/page/1461
The UK: https://www.degruyter.com/page/1462
Switzerland: 　https://www.degruyter.com/page/1463

Editorial

Hauptherausgeber

Prof. Dr.-Ing. Oliver Riedel (oliver.riedel@iao.fraunhofer.de)
Institutsleitung
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO
Institut für Steuerungstechnik der Werkzeugmaschinen und
Fertigungseinrichtungen (ISW) der Universität Stuttgart
Nobelstraße 12
70569 Stuttgart
Telefon: +49 711 9 70 20 12

Prof. Dr.-Ing. Wolfram Volk (wolfram.volk@utg.de)
Technische Universität München
Lehrstuhl für Umformtechnik und Gießereiwesen (utg)
Walther-Meißner-Straße 5
85747 Garching
Telefon: +49 89 2 89 1 37 91

Prof. Dr.-Ing. Michael F. Zäh (michael.zaeh@iwb.tum.de)
Technische Universität München
Institut für Werkzeugmaschinen und Betriebswissenschaften (iwb)
Boltzmannstr. 15
85748 Garching
Telefon: +49 89 289 1 55 02

Redaktion

Dipl.-Ing.Yetvart Ficiciyan (zwf@mediatech-berlin.de)
Huberweg 14E
13599 Berlin
Tel. 030/221 90 553
Mobil 0173/6040741

Advisory Board

Prof. Dr.-Ing. Jan C. Aurich. TU Kaiserslautern
Prof. Dr.-Ing. Dirk Biermann, TU Dortmund
Prof. Dr.-Ing. Christian Brecher, RWTH Aachen
Prof. Dr. Angelika C. Bullinger-Hoffmann, TU Chemnitz
Prof. Dr.-Ing. Jochen Deuse, TU Dortmund
Prof. Dr.-Ing. Roman Dumitrescu, Universität Paderborn
Prof. Dr.-Ing. Martin Eigner, TU Kaiserslautern
Prof. Dr.-Ing. Jürgen Fleischer, Karlsruher Institut für Technologie
Prof. Dr.-Ing. Michael Freitag, Universität Bremen
Prof. Dr.-Ing. Dipl.-Wirtsch.-Ing. Peter Groche, TU Darmstadt
Prof. Dipl.-Ing. Dr.techn. Franz Haas, TU Graz
Prof. Dr.-Ing. Steffen Ihlenfeldt, TU Dresden
Prof. Dr.-Ing. Jörg Krüger, TU Berlin
Prof. Dr.-Ing. Bernd Kuhlenkötter, Ruhr-Universität Bochum
Prof. Dr.-Ing. Gisela Lanza, Karlsruher Institut für Technologie
Prof. Dr.-Ing. habil. Hermann Lödding, TU Hamburg-Harburg
Prof. Dr.-Ing. Dominik Matt, FU Bozen
Prof. Dr.-Ing. habil. Marion Merklein, FAU Erlangen-Nürnberg
Prof. Dr.-Ing. Christian Möhring, Universität Stuttgart
Prof. Dr.-Ing. habil. Peter Nyhuis, Leibniz Universität Hannover
Prof. Dr.-Ing. Peter Plapper, Universität Luxemburg
Prof. Dr.-Ing. Dipl.-Wirt. Ing. Günther Schuh, RWTH Aachen
Prof. Dr.-Ing. Oliver Riedel, Universität Stuttgart
Prof. Dr.-Ing. habil. Sascha Stowasser, ifaa e. V.
Prof. Dr.-Ing. Dr.-Ing. E.h. A. Erman Tekkaya, TU Dortmund
Prof. Dr.-Ing. Wolfram Volk, TU München
Prof. Dr.-Ing. Michael F. Zäh, TU München

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Markus Kügel (markus.kuegel@degruyter.com)

Volume 119 Issue 5

May 2024

Publicly Available May 18, 2024

Inhalt

Page range: 286-287

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Editorial

Publicly Available May 18, 2024

Erfolgsgaranten der digitalen Fabrik

Page range: 285-285

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Produktionsmanagement

May 18, 2024

Simulationsbasierte Entscheidungsunterstützung mittels betriebswirtschaftlicher Bewertung

Am Beispiel der Nutzung des Deckungsbeitrags

Michael Richter, Sigrid Wenzel

Page range: 288-292

Abstract

Operational personnel deployment and order sequence planning are important tasks of production management in order to identify and utilize existing potential in day-to-day business. This paper provides a methodology to support production management via the joint application of discrete-event simulation and production control. The evaluation of action alternatives is done by comparing the calculated contribution margin.

Produktionsnetzwerke

May 18, 2024

Resilienz in globalen Produktionsnetzwerken

Ein theoretischer Orientierungsrahmen für die Integration und nachhaltige Sicherung

Christoph Wenig, Antonia Amann, Marinus Wölflick

Page range: 171-175

Abstract

Multiple crises in supply chains make resilience an important success factor for manufacturing companies. However, implementation is still hampered by ambiguities and interdependencies. This article uses a staged model to differentiate resilience from other change capabilities. From this, the relevance of networking in production networks and an orientation framework for strategic management are derived as to how resilience approaches can be sustainably integrated.

Produkt-Service-Systeme

May 18, 2024

Produkt-Service-Systeme im Maschinen- und Anlagenbau

Vorgehensmodell zur Ableitung maschinenübergreifender Anforderungen

Louisa Künster, Philipp Humbeck, Marcel Gebhardt

Page range: 298-303

Abstract

Mechanical and plant engineering companies that have been focused primarily on product manufacturing in the past are recognizing the potential of a service-oriented business approach as they transform from technology providers to total solution providers. The increasing demand for holistic solutions is driving the development of product-service systems. This article closes a knowledge gap by developing a process model that enables the standardization and transferability of machine-specific product-service systems to entire machine portfolios.

Wertstrom

May 18, 2024

Gestaltung eines wertstromübergreifenden Performance-Management-Systems

Lukas Longard, Yuxi Wang, Oliver Herz, Joachim Metternich

Page range: 304-310

Abstract

KPI systems for evaluating and improving industrial processes are often used ineffectively in production companies, mostly due to arbitrarily selected KPIs and an overemphasis on financial aspects. Existing performance management approaches only describe basic elements and offer few practical recommendations. Implementation is usually only carried out by upper and middle management and neglects integration into production. This article presents a methodology that derives KPIs from corporate objectives in order to identify precise deviations and support data-driven analyses. The method is illustrated by evaluating the example of a process-accurate recording of throughput time.

Traceability-Systeme

May 18, 2024

Zielgerichteter Einsatz von Traceability-Systemen

Mehrwerte und Anforderungen typischer Anwendungsfälle

Julian Herrmann, Joachim Metternich

Page range: 311-317

Abstract

Traceability systems record information like component ID, processing station and processing time in production. This allows for example to verify the product origin, to limit recalls and to dynamically control production processes. In small and medium-sized companies, Traceability systems are not comprehensively used. This article describes a maturity model that supports demand-oriented system launches and further developments.

Autonome Modellierung

May 18, 2024

Autonome Modellierung von Maschinenverhalten

Ansatz für die autonome Modellierung des dynamischen Verhaltens von Fräsmaschinen und Potenziale dieses Ansatzes in der Industrie

Florian Oexle, Markus Netzer, Laurence Deiters, Alexander Puchta, Jürgen Fleischer

Page range: 318-323

Abstract

The shortage of skilled workers is a major challenge facing companies in Germany today. To address this issue, intelligent machines will need to support employees in the future, with a particular focus on self-optimization. For that an approach that enables a milling machine to autonomously model its own dynamic behavior is presented in this article. In addition, a well-known company demonstrates how important the industrial implementation of such approaches is.

Drohnen

May 18, 2024

Humanzentrierte Implementierung von (teil-)autonomen Drohnen

„Zu Risiken und Nebenwirkungen wenden Sie sich an ihre Mitarbeitenden“

Olga Vogel, Annette Kluge

Page range: 324-330

Abstract

The industrial use of drones is constantly increasing due to the transition from Industry 4.0 to Industry 5.0. A prerequisite for the concrete implementation is the legal and organizational risk assessment of flight robotics. The core of the article is a systematic overview of relevant human-centered risk factors for the adaptation of drones in organizations. Based on the proposed risk taxonomy, design options for human-drone interaction and an overview of key questions for risk assessment are presented.

Intralogistik

May 18, 2024

Wirkmodell für zellulare Fahrerlose Transportsysteme

Qualitative Darstellung von Einflussgrößen und logistischen sowie wirtschaftlichen Zielgrößen beim Einsatz von zellularen FTS

Torben Mente, Benjamin Küster, Malte Stonis, Ludger Overmeyer, Peter Nyhuis

Page range: 331-336

Abstract

A continuously growing number of product variants increases the demands on the flexibility of intralogistics transportation. One way to achieve greater flexibility is the use of cellular automated guided vehicles, which can be variably interconnected depending on the size of the product to be transported. This article explains the characteristics of cellular automated guided vehicles and the relationships between influencing variables of the cellular transport system and economic and logistical target variables.

Energieflexibilität

May 18, 2024

Energieflexibilisierung von Kälteversorgungssystemen

Ein regelbasierter modellprädiktiver Optimierungsansatz

Adrian von Hayn, Steffen Schmerer, Matthias Weigold

Page range: 337-343

Abstract

In order to reduce the energy-related operating costs of industrial cooling supply systems, demand side management becomes more and more economically attractive in the face of increasing electricity price fluctuations. However, the realization of this potential usually fails due to implementation. In order to reduce the impediments to implementation, this paper presents a rule-based model predictive approach to operational optimization based on thermodynamic relationships and logical decision criteria. The optimization approach is finally validated on a simulation model as well as on a real climate room and leads to realized operating cost savings of up to 21 %.

Künstliche Intelligenz

Open Access May 18, 2024

Generative KI in der Industrie

Chancen der generativen künstlichen Intelligenz (KI) verstehen und deren Einsatz zielgerichtet implementieren

Jürgen Fritz

Page range: 344-348

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Abstract

Generative AI has attracted a great deal of attention in recent months due to the rapid improvement in results and the low entry barrier through interaction with natural language. Therefore, it is even more important to understand the limits and, particularly, the opportunities of generative AI. This article provides a balanced overview and illustrates the target-oriented implementation of generative AI in industry.

May 18, 2024

Künstliche Intelligenz in der Produktionsplanung und -steuerung

Potenziale und Anwendungsreife

Sebastian von Enzberg, Julian Weller, Pascal Pöhler, Arno Kühn, Michael Römer, Roman Dumitrescu

Page range: 349-355

Abstract

Production planning and control (PPC) is a central element in the production system and represents a key element of the transformation towards Industry 4.0. Artificial intelligence (AI) is used to evaluate information and to model and optimize systems. The article gives a systematic overview of application potentials of AI in PPS and discusses the challenges on the way towards AI-based production planning and control.

Maschinelles Lernen

May 18, 2024

Nutzung von Machine Learning in der intelligenten Fabrik

Eine Risikobewertung

Katja Gutsche, Benjamin Peric, Jonas Hummel, Michael Engler

Page range: 356-361

Abstract

The use of machine learning is associated with great hopes for the realization of a smart factory. This article aims to highlight the Potenzial and obstacles to the use of machine learning in real-life industrial manufacturing scenarios in the European economic area. Technical, organizational and current legal framework conditions are categorized. Finally, the article presents a tool that, based on the current technical regulations and recommendations for action, allows component and system manufacturers to carry out an initial risk assessment of AI applications in their products.

Digitalisierung

May 18, 2024

Industrie 4.0: Die Revolution geht weiter

Produzierende Unternehmen nutzen die Chancen der Smart Factory bislang noch nicht vollständig

Stefan Müller

Page range: 362-365

Abstract

The vision of Industry 4.0 describes a fundamental transformation of production and logistics. A study shows that after more than 10 years of hype, no company has reached its goal. The relevance remains high and often the basics are still being worked on. Even if increasing competitive pressure makes changes necessary, a lack of resources is the main hurdle. Real change can only succeed if the smart factory is a management priority.

May 18, 2024

Datengetriebene Produktion durch Digitale Plattformen

Tim Giese, Fabian Hock, Leonie Meldt, Julian Herrmann, Willi Wünschel, Joachim Metternich, Reiner Anderl, Benjamin Schleich

Page range: 366-371

Abstract

Due to the constant advance of digitalization, ever-increasing amounts of data are being generated. Making decisions based on detailed data analysis promises great potential. Digital platforms play a key role, as their use allows data to be collected, analyzed and used for efficient production in real time. This article will therefore first describe digital ecosystems and digital platforms in more detail and then illustrate their application for data-driven production using an application example. The use of digital platforms represents a significant step forward in creating flexible production networks and helps companies to remain competitive.

May 18, 2024

Zukunftslabor Produktion

Vernetzung, Modellierung und Optimierung in der industriellen Produktion

Jonas Kallisch, Berend Denkena, Kathrin Kramer, Lukas Stürenburg, Slava Pachandrin, Markus Rokicki, Jörg Walter, Marcus Nein, Marvin Voss, Christoph Wunck, Karl-Heinz Niemann, Matthias Schmidt, Klaus Dilger, Claudia Niederée, Norbert Hoffmann

Page range: 372-377

Abstract

The Future Lab Production demonstrates the potentials of digitalisation by using the die casting process as an example process. The project shows how manufacturing companies can digitalise their existing machines, analyse their data and exchange information along the supply chain while maintaining data sovereignty. The aim is to support companies with digitalisation from the machine to data platforms. The article describes the methods used, the concepts developed and their benefits.

Digitaler Zwilling

May 18, 2024

Low-Code/No-Code zur Darstellung von Produktionsdaten über die Asset Administration Shell

Kamila Serwa

Page range: 378-384

Abstract

In order to drive digital transformation in manufacturing companies, low-code/no-code offers an alternative approach to software development. The technical article shows the functionality and application of the low-code/ no-code method in production in combination with the Digital Twin and the Asset Administration Shell. Using the open source platform „Saltcorn“, it is described how a dashboard for visualizing production data can be implemented in the form of a web application using low-code/ no-code without any programming knowledge. Companies can use dashboards to analyze their production data, for example to make decisions to optimize production.

Datenanalyse

May 18, 2024

Manufacturing Data Analytics: Wege zur Steigerung der Wettbewerbsfähigkeit

Ergebnisse und Handlungsempfehlungen einer empirischen Studie

Marcos Padrón Hinrichs, Sebastian Beckschulte, Louis Huebser, Robert H. Schmitt

Page range: 385-390

Abstract

Data analytics offers great potential for gaining valuable insights from data. But what is the current status of the implementation maturity of data analytics in manufacturing companies in the DACH region? This question was the subject of an empirical study. Based on the results of the study, recommendations for action to increase the competitiveness of manufacturing companies are presented. Further identified fields of action for the implementation of Data Analytics provide an outlook on future development directions.

Vorschau

Publicly Available May 18, 2024

Vorschau

Page range: 392-392

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(Deutsch)

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Online ISSN: 2511-0896
Print ISSN: 0947-0085
Type: Journal
Language: German
Publisher: De Gruyter
First published: January 1, 1956
Publication Frequency: 12 Issues per Year