Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.161
Oliver Schiffmann , James Gopsill , Max Ridley , Maria Valero
{"title":"Identifying Quantum Computing Applications in the Study and Operation of Manufacturing Systems","authors":"Oliver Schiffmann , James Gopsill , Max Ridley , Maria Valero","doi":"10.1016/j.procir.2025.02.161","DOIUrl":"10.1016/j.procir.2025.02.161","url":null,"abstract":"<div><div>This paper explores the potential application areas for Quantum Computing in solving numerical problems found in the design and operation of Manufacturing Systems. The paper identifes manufacturing system problems requiring substantial classical computational resource and ofers a quantum alternative. The paper then discusses the quantum hardware that the alternatives could be implemented on commenting on the suitability of today’s Noisy Intermediate Scale Quantum hardware options as well as developments likely to occur in the near-term. The most promising area identified was job scheduling where quantum alternatives exist that could be implemented on today’s Quantum Computing hardware. This is followed by facility layout and vehicle scheduling although further hardware/algorithm development is required. A quantum alternative for fault detection was also discussed however it is too early to be sure of the potential advantages.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 573-578"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.03.056
Erkan Tur , Joseph Betts , Laurent Perge , Alborz Shokrani
{"title":"Machine learning-driven multi-objective alloy selection framework for mechanical property criteria","authors":"Erkan Tur , Joseph Betts , Laurent Perge , Alborz Shokrani","doi":"10.1016/j.procir.2025.03.056","DOIUrl":"10.1016/j.procir.2025.03.056","url":null,"abstract":"<div><div>This study presents a new machine learning framework for multi-objective alloy selection, focusing on key mechanical properties such as tensile strength, elongation, hardness, and Charpy energy. Traditional tools are often limited in their ability to manage large datasets and the complex, non-linear relationships between alloy composition, process parameters, and mechanical properties. In contrast, machine learning models such as XGBoost, Fine-Tuned Stacking, and Ensemble methods provide a scalable solution, allowing for the simultaneous consideration of multiple mechanical property objectives. The models were trained on a comprehensive dataset of stainless steel alloys, filtering materials that meet predefined performance criteria. Among the models, the Ensemble approach achieved the best results, with a precision of 0.98 and recall of 0.93. The findings show that integrating machine learning into the alloy selection process has the potential to improve decision-making accuracy for practical engineering applications.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 61-66"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.173
Christoph Petzoldt , Dario Niermann , Dennis Keiser , Michael Freitag
{"title":"Adaptive Human-Robot Collaboration in Industrial Assembly: Augmented Reality-Supported Dynamic Task Allocation with Intuitive Process Planning","authors":"Christoph Petzoldt , Dario Niermann , Dennis Keiser , Michael Freitag","doi":"10.1016/j.procir.2025.02.173","DOIUrl":"10.1016/j.procir.2025.02.173","url":null,"abstract":"<div><div>As industrial assembly faces increasing demands for cost-efficiency and flexibility, human-robot collaboration (HRC) emerges as a promising solution for small to medium production volumes. To address practical challenges in HRC implementation – such as effective task distribution, trust, and workers’ information needs – this paper introduces a system that uses augmented reality (AR) to enhance adaptive HRC. The system intuitively provides essential information to workers and dynamically adjusts task allocation based on individual performance. It consists of five core components: an AR-integrated situation recognition system, situation-aware robot path planning, dynamic task allocation, AR visualization of work information, and a no-code software interface with a digital twin for process creation and monitoring. The paper offers a comprehensive overview of the system architecture, the user interfaces for process creation and AR visualization, and details a novel approach for optimization-based dynamic task allocation. Improvements in efficiency and collaboration are demonstrated through a practical assembly scenario at a laboratory workstation for collaborative assembly.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 585-590"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.03.023
Arno Schmetz , Achim Kampker
{"title":"Towards Pattern Modeling for Asynchronicity in Production Data","authors":"Arno Schmetz , Achim Kampker","doi":"10.1016/j.procir.2025.03.023","DOIUrl":"10.1016/j.procir.2025.03.023","url":null,"abstract":"<div><div>Modern Production and Next Generation Manufacturing Systems rely heavily on data from production and production environments. This leads to critical dependency on the quality of said data, where lacks in quality result in limited performance, reduced resilience, and applicability of data-driven models. In complex production setups, multiple sources of data must be aggregated and synchronized accurately to enable correct assignment of sensors to the same location and time during production. The Time Synchronization Problem in manufacturing describes the problem of asynchronous data streams based on the technical limitations of technical clocks. In this paper, we present modeling approaches to the asynchronicity of production data streams in short- and long-term data acquisition. Based on experiments with production machines, we propose a set of typical asynchronicity patterns, which can be used to model the asynchronicity in offline synchronization methods to improve quality of the production data quality for manufacturing systems and models.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 37-42"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.168
Chibuikem Nwagwu , Jon Halfdanarson , Christina Meskers
{"title":"Navigating the environmental footprint methodology for aluminium products with post-consumer scrap","authors":"Chibuikem Nwagwu , Jon Halfdanarson , Christina Meskers","doi":"10.1016/j.procir.2025.02.168","DOIUrl":"10.1016/j.procir.2025.02.168","url":null,"abstract":"<div><div>The Norwegian aluminium value chain aims to increase the use of post-consumer scrap (PCS) in product manufacturing to lower the product environmental footprints. Discussions with product manufacturers, shredding & sorting companies, and remelters were held to investigate the challenges and current implementation of the environmental footprint methods as these are an integral part of companies’ disclosure efforts on PCS use. The company’s position in the value chain impacts their interpretations of aluminium flow nomenclature and the associated environmental credits, and thus influences methodological choices. Furthermore, a method that better reflects the industrial realities and balances the different circularity goals is needed. The net-scrap approach (e.g. EN15804) was identified as it incentivises both recycled material usage and PCS recycling. Also, the end-of-waste concept, quality aspects, and temporal dimensions of using PCS were identified as challenges. This paper dives deeper into these topics and provides a direction for the aluminium manufacturing industry.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 479-484"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.165
Arian Lamann , Herwig Winkler , Hans-Rüdiger Lange , Nizar Abdelkafi
{"title":"Co-innovation tools, mechanisms and methods – status quo and potentials","authors":"Arian Lamann , Herwig Winkler , Hans-Rüdiger Lange , Nizar Abdelkafi","doi":"10.1016/j.procir.2025.02.165","DOIUrl":"10.1016/j.procir.2025.02.165","url":null,"abstract":"<div><div>Co-innovation and open innovation are approaches to innovation management that are designed to stimulate innovation in organizations. This study analyzes technical offline and online support tools that can aid co-innovation projects by identifying appropriate functionalities. A systematic literature review and analysis of co-innovation tools reveals a lack of support, particularly in the areas of (i) intellectual property management, (ii) compliance and legal management, (iii) planning and analysis management, and (iv) performance and monitoring management. Physical toolkits show advanced development in meeting the criteria, while software solutions lag behind. The findings highlight the need for comprehensive innovation support tools.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 514-519"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.02.170
Heiner Reinhardt , Boran Bogdanow , Roman Arnold , Bastian Prell , Philipp Klimant , Frank Seifert , Mahtab Mahdaviasl , Steffen Ihlenfeldt
{"title":"Objective validation for short-term material flow simulation","authors":"Heiner Reinhardt , Boran Bogdanow , Roman Arnold , Bastian Prell , Philipp Klimant , Frank Seifert , Mahtab Mahdaviasl , Steffen Ihlenfeldt","doi":"10.1016/j.procir.2025.02.170","DOIUrl":"10.1016/j.procir.2025.02.170","url":null,"abstract":"<div><div>Material flow simulation, by means of discrete event simulation (DES), is utilized in various industries to support production planning and control. This is due to the fact that changes to manufacturing systems and production strategies can be virtually examined before actual implementation. Since the manual development and repeated adjustment of simulation models is time-consuming and error-prone, numerous studies suggest computerized model generation and synchronization. However, validation of such generated or synchronized models is rarely considered. Here, we present an extendible objective validation technique for the repeated short-term simulation of a generated model. To illustrate this, the technique is applied to a high-volume automotive production line and a series of simulation cycles.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 526-531"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.03.052
Lucas Pronk , Roy Damgrave , Eric Lutters
{"title":"Evolving product passports for effective and efficient (re)commissioning","authors":"Lucas Pronk , Roy Damgrave , Eric Lutters","doi":"10.1016/j.procir.2025.03.052","DOIUrl":"10.1016/j.procir.2025.03.052","url":null,"abstract":"<div><div>The process of commissioning in production environments is concerned with the assessment of the operability of assets and their conformity to specified requirements. The utilisation of product life cycle data enables the scope of commissioning to be expanded to encompass not only the immediate fit-for-purpose of an asset, but also its potential for fit-for-repurpose or even fit-for-future-purpose. In this expanded approach, product passports play a pivotal role by isolating asset-specific data. This allows for assets to be embedded within new environments, and facilitates recommissioning. A case study on robotic manipulators explores the gap between physical assets and their digital representations in order to argue potential product passport content for (re)commissioning purposes. Evolving product passports thus offer a means to isolate asset data that support, amongst others, recommissioning for varied operational demands and environments.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 295-300"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.03.055
Mareike Tilenda , Ben Rodenwaldt , Max Ehleben , Max Juraschek
{"title":"Identifying key properties of thermoplastics affected by mechanical recycling processes to support material selection for circularity","authors":"Mareike Tilenda , Ben Rodenwaldt , Max Ehleben , Max Juraschek","doi":"10.1016/j.procir.2025.03.055","DOIUrl":"10.1016/j.procir.2025.03.055","url":null,"abstract":"<div><div>To support the circular economy in product design, engineers increasingly consider replacing raw materials with recyclates and future recyclability. Mechanical recycling, however, can alter material properties, thus affecting the utilization potential. For enabling closed-loop material flows, these changes must be considered in material selection. This study proposes to consider circularity indices in commonly used material properties for thermoplastics to help engineers in designing products for manufacturing and recycling. Through literature research and empirical data, these indices are established and material properties are derived and analyzed. Results show that various properties change differently across materials during mechanical recycling. The proposed material indices consider these changes, enhancing material selection for circular flows. This research underscores the need to consider the implications of multiple life cycles in material selection to improve sustainability.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 205-210"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Procedia CIRPPub Date : 2025-01-01DOI: 10.1016/j.procir.2025.03.029
Philipp Rodegast , Denis Pfeifer , Valentin Leipe , Lukas Steinle , Jonas Scheid , Marcel Hagedorn , Joerg Fehr
{"title":"Deflection Compensation in Lightweight Robots Using a Digital Twin with Extended Dynamics as a Virtual Sensor","authors":"Philipp Rodegast , Denis Pfeifer , Valentin Leipe , Lukas Steinle , Jonas Scheid , Marcel Hagedorn , Joerg Fehr","doi":"10.1016/j.procir.2025.03.029","DOIUrl":"10.1016/j.procir.2025.03.029","url":null,"abstract":"<div><div>Lightweight, special-purpose robots are increasingly employed to automate tasks that standard industrial robots cannot handle for reasons of cost or suitability. However, their lightweight design makes them more prone to defection under operational loads, affecting tool-center-point (TCP) positioning accuracy. Although model-based compensation methods can mitigate these effects, they often require substantial engineering expertise.</div><div>This paper presents a novel approach to improve the TCP positioning accuracy by implementing a virtual sensor that leverages digital twins with extended dynamics, in this case an elastic multibody system (EMBS). To reduce engineering effort, we reuse and expand the model from virtual commissioning (VC). We validate our method on a lightweight food-palletizing robot, deploying the digital twin on the control platform to actively compensate for TCP deflection. Its effectiveness is validated through external laser measurements.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"134 ","pages":"Pages 217-222"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}