Pub Date : 2025-01-01Epub Date: 2025-03-20DOI: 10.1007/s11740-025-01338-x
Tobias Drees, Lennart Ralfs, Benjamin Reimeir, Kai Lemmerz, Robert Weidner, Bernd Kuhlenkötter
Occupational exoskeletons for industrial workplaces hold significant promise for improving worker ergonomics and safety. However, the successful selection of an exoskeleton depends on informed decision-making processes that consider various factors ranging from biomechanical performance to usability and compatibility with work tasks. This paper presents a methodology that aims to develop a co-simulation-based selection tool for selecting an exoskeleton for specific industrial work tasks. It integrates multidisciplinary knowledge from biomechanics, human factors engineering, and industrial ergonomics for assessing the suitability of exoskeletons across diverse industrial applications. The methodology is designed as a stage-gate process with five main stages corresponding to the product development process. It describes the main tasks in each phase, their results, and the gates between the stages. The tasks and results are derived and detailed from the current literature and preliminary work. The gates include the specification of the simulation and decision-relevant input and output parameters, the design of the co-simulation model consisting of task and biomechanical simulation, the weighting of the individual decision criteria, and the subsequent implementation of the multi-criteria decision analysis to create a ranking of suitable exoskeletons. This work concludes by elaborating on the impact of the novel co-simulation methodology on research and industry. Research implications include advanced simulation methods for exoskeleton evaluation, the systematic comparison of different exoskeletons, and the development of decision analysis models. Benefits to the industry include improved compatibility, informed selection processes, reduced investment risks, and increased technology adoption.
{"title":"Methodology for the knowledge-based selection of occupational exoskeletons.","authors":"Tobias Drees, Lennart Ralfs, Benjamin Reimeir, Kai Lemmerz, Robert Weidner, Bernd Kuhlenkötter","doi":"10.1007/s11740-025-01338-x","DOIUrl":"10.1007/s11740-025-01338-x","url":null,"abstract":"<p><p>Occupational exoskeletons for industrial workplaces hold significant promise for improving worker ergonomics and safety. However, the successful selection of an exoskeleton depends on informed decision-making processes that consider various factors ranging from biomechanical performance to usability and compatibility with work tasks. This paper presents a methodology that aims to develop a co-simulation-based selection tool for selecting an exoskeleton for specific industrial work tasks. It integrates multidisciplinary knowledge from biomechanics, human factors engineering, and industrial ergonomics for assessing the suitability of exoskeletons across diverse industrial applications. The methodology is designed as a stage-gate process with five main stages corresponding to the product development process. It describes the main tasks in each phase, their results, and the gates between the stages. The tasks and results are derived and detailed from the current literature and preliminary work. The gates include the specification of the simulation and decision-relevant input and output parameters, the design of the co-simulation model consisting of task and biomechanical simulation, the weighting of the individual decision criteria, and the subsequent implementation of the multi-criteria decision analysis to create a ranking of suitable exoskeletons. This work concludes by elaborating on the impact of the novel co-simulation methodology on research and industry. Research implications include advanced simulation methods for exoskeleton evaluation, the systematic comparison of different exoskeletons, and the development of decision analysis models. Benefits to the industry include improved compatibility, informed selection processes, reduced investment risks, and increased technology adoption.</p>","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":"19 3-4","pages":"763-780"},"PeriodicalIF":1.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12118543/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144175320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-30DOI: 10.1007/s11740-023-01221-7
Adauto Lucas da Silva, A. C. P. Júnior, Paulo Sérgio de Arruda Ignácio, Alessandro Lucas da Silva
{"title":"An adaptive and integrated reference model for supplier selection: application to product development and serialized component supply","authors":"Adauto Lucas da Silva, A. C. P. Júnior, Paulo Sérgio de Arruda Ignácio, Alessandro Lucas da Silva","doi":"10.1007/s11740-023-01221-7","DOIUrl":"https://doi.org/10.1007/s11740-023-01221-7","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42527911","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}
Pub Date : 2023-08-23DOI: 10.1007/s11740-023-01222-6
Eva Vallaster, S. Wiesenmayer, M. Merklein
{"title":"Effect of a strain rate dependent material modeling of a steel on the prediction accuracy of a numerical deep drawing process","authors":"Eva Vallaster, S. Wiesenmayer, M. Merklein","doi":"10.1007/s11740-023-01222-6","DOIUrl":"https://doi.org/10.1007/s11740-023-01222-6","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41810447","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}
Pub Date : 2023-08-15DOI: 10.1007/s11740-023-01220-8
N. Masruroh, A. Rifai, Y. P. Mulyani, Vhysnu Satya Ananta, M. Luthfiansyah, Famila Dwi Winati
{"title":"Priority-based multi-objective algorithms for green supply chain network design with disruption consideration","authors":"N. Masruroh, A. Rifai, Y. P. Mulyani, Vhysnu Satya Ananta, M. Luthfiansyah, Famila Dwi Winati","doi":"10.1007/s11740-023-01220-8","DOIUrl":"https://doi.org/10.1007/s11740-023-01220-8","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46161764","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}
Pub Date : 2023-08-09DOI: 10.1007/s11740-023-01219-1
Michela Dalle Mura, G. Dini
{"title":"Sensitivity analysis and validation of a genetic approach to enhance ergonomics in assembly lines","authors":"Michela Dalle Mura, G. Dini","doi":"10.1007/s11740-023-01219-1","DOIUrl":"https://doi.org/10.1007/s11740-023-01219-1","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41804887","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}
Pub Date : 2023-08-03DOI: 10.1007/s11740-023-01218-2
K. Bobzin, C. Kalscheuer, N. Stachowski, J. Dege, W. Hintze, C. Möller, P. Ploog
{"title":"Oxidation and wear behavior of CrAlMoN with varied Mo-content for cutting Ti6Al4V","authors":"K. Bobzin, C. Kalscheuer, N. Stachowski, J. Dege, W. Hintze, C. Möller, P. Ploog","doi":"10.1007/s11740-023-01218-2","DOIUrl":"https://doi.org/10.1007/s11740-023-01218-2","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42479842","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}
Pub Date : 2023-08-01DOI: 10.1007/s11740-023-01217-3
M. Veigt, M. Freitag
{"title":"Supervised learning to support the process planning of contract logistics projects","authors":"M. Veigt, M. Freitag","doi":"10.1007/s11740-023-01217-3","DOIUrl":"https://doi.org/10.1007/s11740-023-01217-3","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46854052","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}
Pub Date : 2023-07-21DOI: 10.1007/s11740-023-01216-4
Ziyad Bahou, M. R. Lemnaouar, Issam Krimi
{"title":"A dynamic availability analysis of an N-component production system with interdependency effects: a fractional-order approach","authors":"Ziyad Bahou, M. R. Lemnaouar, Issam Krimi","doi":"10.1007/s11740-023-01216-4","DOIUrl":"https://doi.org/10.1007/s11740-023-01216-4","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46347084","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}
Pub Date : 2023-07-21DOI: 10.1007/s11740-023-01214-6
Jacqueline Blasl, Klaus Lichtinger, Fabian Vieltorf, M. F. Zaeh, N. Hanenkamp
{"title":"Experimental investigation of ultrasonic vibration-assisted cryogenic minimum quantity lubrication for milling of Ti-6Al-4V and grinding of Zerodur","authors":"Jacqueline Blasl, Klaus Lichtinger, Fabian Vieltorf, M. F. Zaeh, N. Hanenkamp","doi":"10.1007/s11740-023-01214-6","DOIUrl":"https://doi.org/10.1007/s11740-023-01214-6","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":" ","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43763084","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}
Pub Date : 2023-07-07DOI: 10.1007/s11740-023-01207-5
Maximilian Bega, Patrick Sapel, Furkan Ercan, T. Schramm, Martin Spitz, B. Kuhlenkötter, C. Hopmann
{"title":"Extension of value stream mapping 4.0 for comprehensive identification of data and information flows within the manufacturing domain","authors":"Maximilian Bega, Patrick Sapel, Furkan Ercan, T. Schramm, Martin Spitz, B. Kuhlenkötter, C. Hopmann","doi":"10.1007/s11740-023-01207-5","DOIUrl":"https://doi.org/10.1007/s11740-023-01207-5","url":null,"abstract":"","PeriodicalId":47298,"journal":{"name":"Production Engineering-Research and Development","volume":"17 1","pages":"915 - 927"},"PeriodicalIF":1.7,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44230811","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}
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