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The Role of Product Quality in Energy-Efficient Production Processes

The Role of Product Quality in Energy-Efficient Production Processes

An approach to increase energy efficiency using machine learning methods based on the example of the process industry
Maria Teresa Alvela Nieto, Hoang Viet Hai Luong, Hannes Gelbhardt, Klaus-Dieter Thoben ORCID Icon
Energy efficiency is becoming increasingly important in all sectors of the manufacturing industry. Companies are currently feeling the pressure of exorbitant energy prices very clearly, as well as the additional challenge of becoming CO2-neutral by 2045. With technologies from the field of machine learning (ML), innovative solutions can be developed that enable energy-efficient product manufacturing. In this way, ML-supported process control can make a decisive contribution to increasing the sustainability and competitiveness of a company. Decisive for ML-supported process control are the process- and raw material- dependent parameters, which are significantly responsible for the quality of the final product. The subject of this paper is a procedure for analyzing the complex relationships between the relevant influencing parameters for increasing energy efficiency in the manufacturing industry. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 20-24
Green Productivity for the Circular Economy

Green Productivity for the Circular Economy

Potentials through digitalization
Verena Luisa Aufderheide ORCID Icon
The Circular Economy (CE) is a form of economy that extends the use of products and resources by developing the linear supply chain (SC) to a circular SC. However, additional input factors are required for remanufacturing and recycling. Furthermore, these processes generate additional environmental impacts. It is questionable whether the circulation of products is only worthwhile from an economic point of view or whether it also brings environmental advantages. An approach that relates the economic impact of a product to its environmental impact is the Green Productivity Index (GPI). In the following, this index is developed for CE. Furthermore, this article examines how digitalization can positively affect the Green Productivity (GP) of CE. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 41-45
Industrial Robots in Additive Manufacturing

Industrial Robots in Additive Manufacturing

Norbert Babel
The use of industrial robots in additive manufacturing has been increasing in recent years. Particularly due to the voluminous installation space and the great flexibility, they are predestined for the production of large-volume, individualised components. The multi-axis movement options of the print head attached to the end effector in conjunction with a swivel-tilt unit of the build platform mean that support structures can be dispensed with, which represents a major economic advantage.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 60-63
Integration of Agile Product Development and Ecodesign at SME

Integration of Agile Product Development and Ecodesign at SME

Lösungsstrategien für umweltverträgliche Produkte und Produktionsprozesse im Kontext von Kleinunternehmen
Manuel Löwer, Tim Katzwinkel, Dominik Limbach
The political and social request for environmentally compatible products is putting companies under increasing pressure. Small and medium-sized companies (SME) in particular have to quickly find or develop solutions to these demands. This paper presents a methodological approach that combines the proven strategies of agile development with the specific activities of so-called ecodesign. The methodology is first discussed theoretically and then experimentally evaluated and discussed by means of a case study in a real company context.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 2 | Pages 46-50 | DOI 10.30844/IM_23-2_46-50
Use of Artificial Intelligence in Procurement

Use of Artificial Intelligence in Procurement

Possibilities of smart contracting
Andreas H. Glas, Kübra Ates, Michael Eßig
Procurement has the task to supply an organization with required but not self-produced goods. The goods vs. payment exchange with suppliers is laid down in contracts. “Electronic contracts" or “Smart Contracts” represent the logic digitally and thus enhance transparency. This can still evolve. In the future, improved algorithms and artificial intelligence will not only be able to administer contracts, but also to design them. This article presents the status quo of "Smart Contracting", places it in the "Legal Tech" topic and shows how artificial intelligence could be used in procurement.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 14-18
Artificial Muscles and Nerves in Industry 4.0

Artificial Muscles and Nerves in Industry 4.0

Multifunctional actuator-sensor systems with shape memory alloys (SMAs) and dielectric elastomers (DEs)
Paul Motzki ORCID Icon, Steffen Hau ORCID Icon, Marvin Schmidt, Stefan Seelecke ORCID Icon
Within the concepts of Industry 4.0, the term “Smart Factory” stands for the creation of effective production environments through digitalization and cyber-physical systems. Most manufacturers plan to make their manufacturing systems more automated, flexible and adaptive. In the course of these efforts, intelligent materials are increasingly brought into focus. Combined actuator and sensory properties enable the construction of lightweight and compact multifunctional actuator-sensor systems that are operated in an energy-efficient, noise-free and emission-free manner. This makes them appropriate for building networked systems. Shape memory alloys (SMAs) and dielectric elastomers (DEs) are particularly suitable for building intelligent actuators, and are presented in this article alongside several use cases.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 8-15 | DOI 10.30844/I4SE.23.1.8
AI-Supported Optimization of Repetitive Processes

AI-Supported Optimization of Repetitive Processes

A coding technique for repetitive processes in evolutionary optimization
Christina Plump, Rolf Drechsler, Bernhard J. Berger
Optimisation is an essential task in many situations. The class of evolutionary algorithms is a population-based, heuristic technique for optimisation. They allow the optimisation of multi-modal problems even with distorted search spaces. They can propose several solutions instead of just one. An important aspect of evolutionary algorithms is encoding search space candidates. In the optimisation of processes, this is a non-trivial task. This article describes a successfully tested encoding.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 19-22
Comparing Industry 4.0 Maturity Models

Comparing Industry 4.0 Maturity Models

Jochen Schumacher, Norbert Gronau ORCID Icon
In recent years, numerous maturity models have been developed with the aim of providing a clear indication of the progress each company has made in terms of Industry 4.0 development. However, not all models include all aspects of Industry 4.0. The models are also not equally practical. This article offers an in-depth comparison and assessment of the comprehensiveness of the ten most important Industry 4.0 maturity models.
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 16-33 | DOI 10.30844/I4SE.23.1.16
Planning Assistance in Production and Logistics

Planning Assistance in Production and Logistics

Supervised learning for predicting process steps in the planning of logistics processes
Marius Veigt, Lennart M. Steinbacher, Michael Freitag ORCID Icon
The competitive pressure in the contract logistics industry is intense. Logistics providers must respond to tenders quickly and with convincing concepts. This article presents initial approaches to how logistics process planning in tender management can be supported using supervised learning methods. Under the premise that similar processes from past projects can be transferred and adapted to a project to be planned, an AI-based assistance system suggests appropriate process steps and MTM (Methods-Time Measurement) codes during planning. This procedure can accelerate process planning and lead to an increased quality of logistics processes to be planned. (Only in German)
Industrie 4.0 Management | Volume 39 | 2023 | Edition 1 | Pages 9-13
Decentralized Tact Time Control in Assembly

Decentralized Tact Time Control in Assembly

Simplifying robust control of assembly lines via the I4.0 box
Sander Lass, Tim Körppen
In theory, decentralized control approaches in the manufacturing context offer several advantages over monolithic centralized systems where all functions are combined into one or into several authorities. However, practical implementation requires adaptation of the general concept of decentralization to fit individual and specific use cases, especially with regard to their sensible scope. One such use case is the assembly of high-variation products. This article shows the appropriate combination of centralized and decentralized approaches can be leveraged to achieve better planning and increased throughput in manufacturing. With flexible cycle control for work stations and suitable assistance at the assembly workstation, the previous shop-floor oriented organization style can be transformed into a series-like manufacturing process. This is done using a multi-layered infrastructure that follows the Industry 4.0 paradigm of decentralized information processing through autonomous ...
Industry 4.0 Science | Volume 39 | 2023 | Edition 1 | Pages 34-40 | DOI 10.30844/I4SE.23.1.34
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