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A survey on smart product-service systems in manufacturing

Procedia CIRP 2023年 120卷 1504-1509页

作者： Anton Mauersberger Mohaned Alaluss Antonia Beyer Kilian Armin Nölscher Alexander Rauscher Heiner Reinhardt Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 09126 Chemnitz Germany

The advancing digitization affects product design and manufacturing. Companies focus on product-service systems (PSS) to improve customer satisfaction and loyalty. However, these PSS become increasingly complex as digital technologies are incorporated and cross-company collaboration and manufacturing is facilitated. In essence, we can observe a transition from conventional PSS to smart PSS, where the opportunities of digitization are effectively utilized and synergies between multiple stakeholders are fostered. Here, we present an analysis and classification of smart PSS considering aspects of business modeling, composition, design, quality and sustainability.

关键词： Smart PSS Smart service Smart technologies Product-service system Remote service Development Innovation management Production Modular design Decision making

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A survey on sustainability approaches in manufacturing 30

A survey on sustainability approaches in manufacturing

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30th CIRP Life Cycle Engineering Conference, LCE 2023

作者： Prell, Bastian Reinhardt, Heiner Mauersberger, Anton Rauscher, Alexander Reiff-Stephan, Jörg Ihlenfeldt, Steffen Technical University of Applied Sciences Wildau Hochschulring 1 Wildau15745 Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany

Awareness about climate change has led to policies and regulations but also customer preferences favoring sustainable production. Thus, producing businesses are confronted by this, as they consume a large share of resources. Therefore, when producing, additional dimensions beyond commercial feasibility ought to be considered. Here, literature on sustainability from the field of engineering science is systematically searched and analyzed for approaches leading to actual recommendations for action. Hence, this bottom-up approach, incorporating the production engineers' point of view, represents an inside view of how the topic of sustainability has arrived at production companies. The focus on commercial feasibility ensures high relevance to practice, as production needs to become both sustainable and competitive. Even though exemplary collections of different approaches addressing the topic of sustainability in production can be found in literature, novelty is provided by the structured manner literature was collected and the special focus on approaches leading to practice-relevant recommendations for action. Thus, a comprehensive overview of approaches applicable to the manufacturing domain is presented. © 2023 The Authors. Published by Elsevier B.V.

关键词： Sustainable development

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Micro structure rolling process with laser structured roller tools 21

Micro structure rolling process with laser structured roller...

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21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021

作者： Schmidt, Torsten Gärtner, Eric Schneider, Jörg Edelmann, Jan Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany

ISBN: (纸本)9780995775190

In recent years, there has been an enormous increase in the need to specifically functionalize surfaces through microstructures and coatings. This is an attempt to meet increased performance requirements and the use of new materials in mechanical and automotive engineering. In most scientific publications on this subject, microstructures are created by laser ablation. However, this process is often not economical in the context of large-scale production. The structure rolling process for microstructuring of rotationally symmetric workpieces can close this gap. Short process times, comparatively simple handling and resource-efficient structuring characterize the structure rolling process. In the publication the workflow for structuring typical components is described. In addition, different processing strategies for the production of structured rolls using laser material processing are presented and compared. Based on the optimal manufacturing strategy derived from this, several structured rollers with different microstructure variants were manufactured. The successful application of the workflow and the tooling concept used for the structure rolling process is validated by experimental replication tests with different microstructures. The main focus is on the evaluation of the methodology for predicting and setting the necessary embossing force on the structure rolling tool to achieve the required structure depth. © 2021 Proceedings of the 21st International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2021. All rights reserved.

关键词： Tribology

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Methods for the environmental and economic assessment in early product design – a case study-based overview for wind turbines in urban areas

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Procedia CIRP 2024年 122卷 789-794页

作者： Martin Zumpe Maximilian Stange Ahmet Burak Ertem Marian Süße Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany

The assessment of environmental impacts has become an inevitable necessity for many manufacturing companies – not only from a mere retrospective viewpoint but also for product design decisions. At the same time, economic feasibility must be constantly considered throughout all product design phases. For both dimensions, many different decision-support methods exist. However, there is a lack of combined assessment methods especially in early product design phases, when product characteristics, manufacturing technologies and corresponding data are still uncertain. The paper provides an overview and qualitative evaluation of different methods for economic and ecological assessment in product design stages. Based on this, a generalized procedure for combined economic and ecological decision-making during product design is derived, highlighting possible coping mechanisms for uncertain or insufficient data. Both, the evaluation of available assessment methods as well as the derived procedure are transferred to the specific requirements of wind turbines in urban areas. As a result, open research aspects and the next steps for method development are derived.

关键词： Eco-design methodology LCA Evaluation Environment Wind Turbines

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Combining material flow simulation and optimization for sustainable manufacturing – application in automotive paint shops

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Procedia CIRP 2024年 122卷 659-664页

作者： Marian Süße Xinyi Xie Steffen Ihlenfeldt Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany

The necessity for sophisticated decision support in industrial manufacturing has been described manifoldly and simulation approaches as well as optimization methods are continuously developed. This can be especially promising when it comes to decision-making with multidimensional requirements of economic and ecological efficiency. However, due to the required expert knowledge, there is still a gap between theoretically applicable and industrially applied methods. The paper therefore presents results of two use cases as part of the European project ECOFACT where different approaches for the combination of simulation and (heuristic) optimization were applied with industry partners. An overview of recent works and systematic literature reviews of sustainable manufacturing and the approaches for combining simulation and optimization is given. Correspondingly, the investigated use cases of automobile paint shops refer to the reduction of environmental impacts by optimized heating processes and an improved batching process to minimize paint waste. In the first case, setup times for heating color pools and ovens were shifted to avoid load peaks in a calculation time of less than one minute. In the second use case batch size was increased by around 25%.

关键词： Sustainable manufacturing Energy Simulation Optimization

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Software support for the development of flexible plant technology in highly automated and high-rate body-in-white production

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Procedia CIRP 2023年 118卷 918-923页

作者： Rayk Fritzsche Antje Ahrens Head of group Adaptable assembly systems at Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz 09126 Germany Scientific employee at Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz 09126 Germany

The remarkly high degree of automation within body-in-white production, with high quality requirements and the increasing demand for product-flexible production form a conflict of objectives. The most significant challenges in making the operating resources of body-in-white manufacturing more flexible arise with the the development of model-flexible geometry fixtures, with the geometric and qualitative requirements being most significant in the production of vehicle doors. For the efficient design of model-flexible fixtures specific methods and software tools for part alignment, clamp point grouping and fixture design have been developed.

关键词： Body in white Automated fixture design Methodical synthesis Analysis software Optimization Product flexibility

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Identifying efficiency and flexibility measures for energy-oriented factory management 29

Identifying efficiency and flexibility measures for energy-o...

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29th CIRP Conference on Life Cycle Engineering, LCE 2022

作者： Münnich, Marc Rein, David Reinhardt, Heiner Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Chemnitz Germany Institute of Mechatronic Engineering Technische Universität Dresden Dresden Germany

Recent efforts in climate politics increase the ecological pressure of manufacturing companies in terms of intelligent and efficient usage of resources during operations. Rising energy prices lead to further economic pressure. Especially companies with a high share of energy cost on total costs are forced to continuously improve processes regarding the energy usage. Existing guidelines and methodologies are usually concerned with either of the two dimensions energy efficiency (EnEff), or energy flexibility (EnFlex). While EnEff addresses the reduction of the energy consumption for a defined manufacturing output, EnFlex addresses the advantageous shift, increase, and decrease of energy demand. Although both dimensions address the total reduction of cost, they are usually considered separately in literature. Here, we examine both dimensions while focusing on the provision and usage of electric energy due to its manifold conversion and usability opportunities in factory processes. Therefore, we developed an overview of measures of both dimensions as well as their application characteristics within the factory. To identify EnEff and EnFlex measures, a practicable methodology is introduced. This aims to enable especially companies with few experiences in EnEff and EnFlex measure application to improve energy aware operations. We illustrate our examination by means of an industrial application example. © 2022 Elsevier B.V.. All rights reserved.

关键词： Energy efficiency

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An assessment method of machine components for usage-based value creation in complex manufacturing systems 56

An assessment method of machine components for usage-based v...

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56th CIRP International Conference on Manufacturing Systems, CIRP CMS 2023

作者： Alaluss, Mohaned Kurth, Robin Mauersberger, Anton Drechsler, Chris Ihlenfeldt, Steffen Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz09126 Germany Institute of Mechatronic Engineering Dresden University of Technology Helmholtzstr. 7a Dresden01069 Germany

Rising demands on manufacturing technologies lead to an increase in the complexity of corresponding machines and systems. This complexity acts as an obstacle to the development and realization of digital, usage-based business models for complex manufacturing systems. Particularly in the case of pay-per-use business models, it is necessary to monitor the actual machine load in operation to minimize the business risk on the operator and supplier side. This complicates the transition towards data-oriented value creation in manufacturing system environment. To overcome this challenge, a novel method to assess machine components regarding their potential to monitor the actual load and usage behavior of the whole manufacturing system is proposed. On this basis, the transparency and therefore confidence in digital, usage-based value creation like pay-per-use business models can be increased. The resulting approach is demonstrated by taking the example of a sheet metal forming press. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 56th CIRP International Conference on Manufacturing Systems 2023.

关键词： Decision making Forning Manufacturing Methodology Service

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Automated shop floor reconfiguration and process integration: towards product driven manufacturing systems

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Procedia CIRP 2025年 134卷 49-54页

作者： Marcel Albus Florian Duewel Katharina Barbu Jan Eric Huebner Christian Keilig Christian Gollee Fraunhofer Institute for Manufacturing Engineering and Automation IPA Nobelstraße 12 70569 Stuttgart Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Fraunhoferstraße 1 76131 Karlsruhe Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 09126 Chemnitz Germany Fraunhofer Institute for Machine Tools and Forming Technology IWU Pforzheimer Straße 7a 01189 Dresden Germany

Flexible manufacturing systems are crucial in today’s rapidly evolving manufacturing landscape, characterized by supply chain disruptions, shorter product lifecycles, and diverse customer demands. Introducing new products necessitates extensive planning efforts, including price estimates, production cost evaluation and ensuring resilience. This paper presents a comprehensive approach through an integrated digital toolchain for reconfiguration planning in manufacturing companies, from production feasibility to shop floor execution. The solution leverages data space connectors to facilitate information exchange between customers and Modular Production (MP) environments. Key features include the STEP decomposition, resource capability matching, automated assembly line reconfiguration and balancing, as well as the automated integration and execution of manufacturing processes on the shop floor. This toolchain aims to enable automated data exchange, coordinated order planning, and efficient shop floor operations, allowing manufacturers to adapt to market changes while maintaining cost-effectiveness and resilience.

关键词： Shop Floor Reconfiguration Automated Process Execution Assembly Line Balancing

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Intelligent dressing for continuous generating grinding with convolutional neural networks and knowledge distillation

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Procedia CIRP 2024年 126卷 513-518页

作者： Martin Boesler Marco Schumann Philipp Klimant Martin Dix Fraunhofer Institute for Machine Tools and Forming Technology IWU Reichenhainer Straße 88 Chemnitz 09126 Germany Institute for Machine Tools and Production Processes Chemnitz University of Technology Reichenhainer Str. 70 09126 Chemnitz Germany

Continuous generating grinding is a highly productive and precise way to finish hardened gears. However, the dressing of the tool has a huge potential for optimization. Detecting the optimal point to stop the dressing process would save cost and reduce machine downtime. This paper provides a proof of concept of how machine learning models can achieve these goals based on acoustic emission data. Therefore, different ML-Classifiers were trained and compared. Particular emphasis was placed on the robustness of the models. In addition, the trade-off between fast and robust models was examined.

关键词： Continuous generating grinding Dressing machine learning Convolutional neural network Distillation

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