A smart algorithm for personalizing the workstation in the assembly process
Autor: | Niko Herakovic, Marko Simic, Miha Pipan, Maja Turk |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
udc:004.021:005.951(045)
vrednotenje delovnega mesta 0209 industrial biotechnology samokonfiguracijsko delovno mesto Workstation Computer science Process (engineering) 02 engineering and technology lcsh:Technology law.invention lcsh:Chemistry pametni algoritmi 020901 industrial engineering & automation workplace evaluation law Digital human 0202 electrical engineering electronic engineering information engineering General Materials Science Adaptation (computer science) Instrumentation lcsh:QH301-705.5 smart algorithm Fluid Flow and Transfer Processes lcsh:T self-configurable workstation Process Chemistry and Technology General Engineering Product characteristics Manufacturing systems lcsh:QC1-999 Computer Science Applications Product (business) lcsh:Biology (General) lcsh:QD1-999 manual assembly process ročna montaža lcsh:TA1-2040 smart manual assembly system 020201 artificial intelligence & image processing pametni sistemi ročne montaže lcsh:Engineering (General). Civil engineering (General) Algorithm Working environment lcsh:Physics |
Zdroj: | Applied sciences, vol. 10, no. 23, 8624, 2020. Applied Sciences, Vol 10, Iss 8624, p 8624 (2020) Applied Sciences Volume 10 Issue 23 |
ISSN: | 2076-3417 |
Popis: | Due to increasing competition in the global market and to meet the need for rapid changes in product variability, it is necessary to introduce self-configurable and smart solutions within the entire process chain, including manual assembly to ensure the more efficient and ergonomic performance of the manual assembly process. This paper presents a smart assembly system including newly developed smart manual assembly workstation controlled by a smart algorithm. The smart assembly workstation is self-configurable according to the anthropometry of the individual worker, the complexity of the assembly process, the product characteristics, and the product structure. The results obtained by a case study show that is possible to organize manual assembly process with rapid adaptation of the smart assembly system to new products and workers characteristics, to achieve ergonomic working conditions through Digital Human Modelling (DHM), to minimize assembly time, and to prevent error during the assembly process. The proposed system supports the manual assembly process redesign to ensure a better working environment and aims to have an important value for applying the smart algorithms to manual assembly workstations in human-centered manufacturing systems. |
Databáze: | OpenAIRE |
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