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检索条件"机构=WZL: Laboratory for Machine Tools and Production Engineering"

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Deep Reinforcement Learning for Next Best View Planning in Autonomous Robot-Based 3D Reconstruction

Deep Reinforcement Learning for Next Best View Planning in A...

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2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2025

作者： Beiki, Hossein Omid Kavousian, Bijan Belke, Manuel Petrovic, Oliver Brecher, Christian Aachen University Laboratory for Machine Tools and Production Engineering Wzl of Rwth Aachen Germany

ISBN: (纸本)9798331516857

This paper presents an enhanced approach to automate the robot-based Next Best View planning in 3D reconstruction using Deep Reinforcement Learning (DRL). In our study, a robot-guided sensor captures the object from multiple viewpoints, with each viewpoint autonomously selected by a DRL agent to optimize scan efficiency and reconstruction quality. Our reward function accounts for both robot's movement and scan quality, enabling the agent to shorten its path while maintaining high scan quality. Unlike other methods, we utilize a continuous action space, offering greater flexibility than approaches with predefined action sets or regions of interest. Additionally, the agent autonomously determines when to stop the scanning process, further enhancing performance. The agent is trained and tested in a simulation environment using the state-of-the-art ABC dataset, and is later evaluated on new, unseen parts, where it consistently outperforms the selected simplistic baseline method. The system is designed for easy extensibility, allowing for the integration of additional optimization criteria, new datasets, and further training. © 2025 IEEE.

关键词： Motion planning

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Quantification of sustainability in production systems through a conceptual input-output model 16

Quantification of sustainability in production systems throu...

引用

16th CIRP Conference on Intelligent Computation in Manufacturing engineering, CIRP ICME 2022

作者： Sohnius, Felix Iglauer, Martin Gussen, Lars C. Schmitt, Robert H. Laboratory for Machine Tools and Production Engineering WZL RWTH Aachen University Germany

This paper presents an input-output model for measuring sustainability performance in production systems based on key performance indicators (KPIs). Sustainability is one of the most pressing issues of our time. Experts (e.g., Larry Fink, CEO of BlackRock) and management consultancies (e.g., McKinsey) are warning not only about the ecological consequences of climate change, but also about the socio-economic consequences. In this context, companies are challenged to define KPIs for sustainability. The input-output model presented in this paper supports production management to detect trends of sustainability factors at an early stage in order to derive actions and achieve strategic sustainability goals. © 2023 Elsevier B.V.. All rights reserved.

关键词： Sustainable development

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Framework for multi-project scheduling in product development based on available data 34

Framework for multi-project scheduling in product developmen...

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34th CIRP Design Conference, CIRP 2024

作者： Riesener, Michael Kuhn, Maximilian Keuper, Alexander Smerz, Jonathan Schuh, Guenther Laboratory for Machine Tools and Production Engineering WZL RWTH Aachen University Campus-Boulevard 30 Aachen52074 Germany

The amount of development projects in companies rises, increasing the difficulty to plan and schedule new projects since the complexity increases when the same human resources are used in a larger amount of projects. This can lead to more interdependencies between the projects and sometimes overload of the existing resources. With more interdependencies, changes in one project also affect other projects leading to more development projects missing their project objectives such as cost and/or time. Multi project management and scheduling addresses this circumstances by scheduling the resources with regard to the overall multi project environment. Although most scheduling approaches in the industry only consider resource availability on a multi-project view, while cost and time are optimized within the projects. The Resourceconstrained multi-project scheduling problem (RCMPSP) is in the scientific literature is widely researched and is concerned with the overall optimization of resource scheduling. These existing solutions for a mathematical optimization approach in resource scheduling, are rarely utilized in the industry. This paper focuses on building a framework to reduce the gap between industry and research. On the one hand, the paper analyses the requirements for project scheduling in corporate practice. On the other hand, a structured overview of the RCMPSP literature is provided from which requirements for the needed data is derived. The framework then matches the scheduling needs and existing data within a company to the research landscape of existing optimization solutions in order to support the use of resource scheduling in multiple projects. © 2024 The Authors. Published by Elsevier B.V.

关键词： Design informatics Design methodology technologies tools

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Establishing Sustainable Business Models Through Subscription in machinery and Plant engineering

Establishing Sustainable Business Models Through Subscriptio...

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2024 Portland International Conference on Management of engineering and Technology, PICMET 2024

作者： Riesener, Michael Keuper, Alexander Bobmann, Carsten Smerz, Jonathan Schulz-Isenbeck, Timm Schuh, Gunther RWTH Aachen University Laboratory for Machine Tools and Production Engineering WZL Aachen Germany Fraunhofer Institute for Production Technology IPT Aachen Germany

ISBN: (纸本)9781890843458

Companies in machinery and plant engineering make a significant contribution to global greenhouse gas emissions and the use of raw materials. Therefore, they have decisive poten-tial to make better use of resources, increase efficiency and avoid overproduction with regard to a more sustainable economy. How-ever, sustainability is not necessarily an end in itself for companies and must therefore be motivated by incentives. In addition to po-litical legislation and its mandatory implementation of sustainabil-ity initiatives, there must also be financial incentives for compa-nies. In this way, sustainable companies can be successful in a competitive environment in the long term. By using subscription mod-els, companies can establish a long-term and stronger connection to the products and customers. The resulting longer and more in-tensive use of the utilized resources or the extension of the life cycle through upgrades make a significant contribution to sustainabil-ity. This paper therefore examines the effect of subscription mod-els on the establishment of sustainable business models. On the one hand, interdependencies between subscription models and sus-tainable business models are determined. On the other hand, these interdependencies are analyzed concerning influencing factors for sustainability. © 2024 PICMET.

关键词： Kyoto Protocol

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Systematic Evaluation of Hybrid Portfolios for Solution Providers in machinery engineering

Systematic Evaluation of Hybrid Portfolios for Solution Prov...

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2024 Portland International Conference on Management of engineering and Technology, PICMET 2024

作者： Riesener, Michael Keuper, Alexander Bobmann, Carsten Schulz-Isenbeck, Timm Schuh, Gunther RWTH Aachen University Laboratory for Machine Tools and Production Engineering WZL Aachen Germany Fraunhofer Institute for Production Technology IPT Aachen Germany

ISBN: (纸本)9781890843458

The change from traditional manufacturers to solution providers represents a comprehensive business reorientation. As a solution provider, manufacturing companies emphasize on the customer's benefit. Through the combination of physical prod-ucts, software and services, individual solutions are provided for the customer in order to achieve the greatest possible added value. The transformation has a particular impact on the structure and composition of traditional portfolios in machinery engineering, since new software and service components are gradually added. Therefore, portfolio evaluation methods need to address hybrid portfolios in order to manage the transformation effectively. Ex-isting portfolio management approaches are limited to structuring physical product portfolios only. Thus, this paper develops a new methodology to evaluate hybrid portfolios. A comprehensive framework is employed integrating portfolio evaluation techniques and technology management principles to analyze and op-timize hybrid portfolios. The evaluation comprises two principal evaluation fields, which consider both external market and inter-nal perspectives to identify strategic directions for portfolio and technology management. By systematizing the portfolio evaluation, the results contribute to the transformation into solution pro-viders, encompassing increasing software and services. © 2024 PICMET.

关键词： Investments

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Derivation of Targets for the Portfolio Planning of a Solution Provider in machinery engineering

Derivation of Targets for the Portfolio Planning of a Soluti...

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2024 Portland International Conference on Management of engineering and Technology, PICMET 2024

作者： Riesener, Michael Keuper, Alexander Bobmann, Carsten Schuh, Gunther RWTH Aachen University Laboratory for Machine Tools and Production Engineering WZL Aachen Germany Fraunhofer Institute for Production Technology IPT Aachen Germany

ISBN: (纸本)9781890843458

Companies in the machinery engineering sector are increasingly forced to make a strategic decision to transform from product to solution providers. Increasing competitive pressure from international competitors, fewer technological differentiation options for mechatronic products, increased establishment of software applications and increasingly individualized customer requirements are posing challenges for companies. The transformation into a solution provider is one way to address these challenges. In addition, the transformation promises stable sales in the long term and the opportunity to use the resources utilized longer and more intensively in terms of the circular economy. Accordingly, solution providers are no longer selling products, but rather individualized bundles of products, services and software applications in result-oriented business models. However, companies lack a suitable target system for the planning of the portfolio for this transformation. The target system provides a framework to make decisions about the necessary products, services and software applications in the portfolio as well as the most reasonable composition of portfolio elements for individualized solutions. To this end, this paper derives and describes the corresponding targets and associated target dimensions for planning the portfolio of solution providers. © 2024 PICMET.

关键词： Sales

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ML-Pipeline for the Quality Assessment of Screwdriving Processes 17

ML-Pipeline for the Quality Assessment of Screwdriving Proce...

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17th CIRP Conference on Intelligent Computation in Manufacturing engineering, CIRP ICME 2023

作者： Wende, Martin Bender, Marcel Frye, Maik Grunert, Dennis Schmitt, Robert H. Fraunhofer Institute for Production Technology IPT Aachen Germany Laboratory for Machine Tools and Production Engineering WZL RWTH Aachen University Aachen Germany

Current quality assessment methods of screwdriving processes evaluate the final torque-angle combination only. Consequently, anomalies and errors during the screwdriving process may remain unnoticed. Furthermore, the cause of an error cannot always be determined. We present an ML-pipeline for the assessment of screwing operations based on time series data of the entire process. The analysis is performed using the publicly available AURSAD dataset. The transfer onto screwdriving processes of the commercial vehicle production is likewise discussed. We find that the ML-pipeline performance is highly dependent on the combined consideration of preprocessing methods and model training. © 2024 Elsevier B.V.. All rights reserved.

关键词： Time series

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Concept for Product Modularization in the Context of Circular Economy

Concept for Product Modularization in the Context of Circula...

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2023 Portland International Conference on Management of engineering and Technology, PICMET 2023

作者： Riesener, Michael Kuhn, Maximilian Keuper, Alexander Hellwig, Frederike Schuh, Guenther Rwth Aachen University Laboratory for Machine Tools and Production Engineering Wzl Aachen52074 Germany

ISBN: (纸本)9781890843434

In the past decades industrialization increased productivity drastically and it became feasible to overproduce goods in order to lower production cost. This overproduction favored a linear form of value creation, in which raw materials are transformed into finished products. After the usage phase products are disposed, creating the demand for new products. However, resources are limited and considering not only economic but also ecological effects of this linear form of value creation, a fundamental change will be necessary in the future. One possible approach is a circular value creation, in which products, components and materials serve as the base for new value creation cycles after their use. The challenge is that due to their structure and architecture, current products make economically viable circular value creation difficult. New concepts and methodological approaches are necessary dealing with the question of how product architectures must be designed and modularized in order to realize circular economy in a feasible way. This paper evaluates the latest scientific approaches for the creation of circular products and deducts a concept for modularization in the context of circular economy, which helps applicants to design feasible product architectures and divide products into suitable modules from both an economic and a circular economy point of view. © 2023 PICMET Portland International Center for Management of engineering and Technology(.

关键词： Economics

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Virtual End of Line Test – Prediction of the Acoustic Behavior of Gearboxes Based on Topographic Deviations Using Neural Networks

Virtual End of Line Test – Prediction of the Acoustic Behav...

引用

American Gear Manufacturers Association Fall Technical Meeting 2023, FTM 2023

作者： Willecke, Marius Brimmers, Jens Brecher, Christian Laboratory for Machine Tools and Production Engineering

ISBN: (纸本)9781643531465

In the series production of gearboxes, most gearboxes are usually tested in an end-of-line test after assembly. Among other things, the noise of the gearbox is checked during such tests. A reason for an acoustical failure can be an unlucky combination of the manufacturing deviation of two meshing gears. If a gearbox appears faulty, it has to be disassembled again, which is labor and cost intensive. To reduce the number of gearboxes sorted out for acoustics reasons, the gearbox acoustic behavior can be simulated prior to its assembly. The simulation considers the specific deviated gears of the unit. This allows the detection of the combination of unfavorable manufacturing deviations. A simulation model domain, generally used to calculate the acoustic behavior of the whole gearbox, is an elastic multi body system model. This model type calculates the acoustic behavior in time domain to consider the nonlinear meshing behavior of gears and other components. The major challenge using this model type is the tremendous amount of calculation time needed to produce suitable results. That is why a method to predict the acoustic behavior of the gears faster than with the currently used simulation models is needed. Otherwise, the simulation cannot be performed in parallel to gearbox manufacturing. To achieve calculation speedup, the size of the mathematical problem is reduced by introducing the sum deviation surface as a generalization of gear topographies. It allows reducing the number of necessary input parameters for the new model. Using the sum deviation surface, variants within a given deviation space are calculated as training dataset. This dataset is utilized to develop a deep neural network model of the gearbox. The network then predicts the acoustic behavior of a whole gearbox based on the topography deviations faster than real-time. Prediction is verified by an independent test data set. Copyright © 2023.

关键词： Topography

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Methodology to Determine the Cost of Delay in Projects to Improve Project Prioritization

Methodology to Determine the Cost of Delay in Projects to Im...

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2023 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Riesener, M. Kuhn, M. Keuper, A. Lauf, H. Solanki, N. Schuh, G. Rwth Aachen University Laboratory for Machine Tools and Production Engineering Wzl Campus-Boulevard 30 Aachen52074 Germany

ISBN: (纸本)9798350323153

In many companies, it can be noticed that the share of project work is increasing. At the same time, many of these projects miss their deadlines and exceed their budgets. A major challenge when facing multiple critical projects at the same time is the correct prioritization of these projects. If one project is prioritized, it usually means that others will be delayed. This often ignores the fact that delaying the other projects will lead to additional cost, missed revenue or delayed savings for these projects. By taking these factors known as cost of delay into account better decisions can be made. Therefore, the aim of this paper is to develop a methodology, which shows how organizations can integrate the cost of delay into their project management for assisting in project prioritization decisions. © 2023 IEEE.

关键词： Cost of delay Prioritization Project management

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