Analyzing resilient performance of workers with multiple disturbances in production systems
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| Titel: | Analyzing resilient performance of workers with multiple disturbances in production systems |
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| Autoren: | Yasue, Naruki, Mahmoodi, Ehsan, Ruiz Zúñiga, Enrique, Fathi, Masood |
| Verlagsinformationen: | Högskolan i Skövde, Institutionen för ingenjörsvetenskap Högskolan i Skövde, Forskningsmiljön Virtuell produkt- och produktionsutveckling Department of Micro Engineering, Graduate School of Engineering, Kyoto University, Japan Division of Industrial Engineering and Management, Uppsala University, Sweden 2025 |
| Publikationsart: | Electronic Resource |
| Abstract: | With the emergence of Industry 5.0 and an increasing focus on human-centric approaches in manufacturing, the analysis of workers in production systems has gathered significant interest among researchers and practitioners. Previous studies have explored the impact of various aspects, such as skills, fatigue, and circadian rhythms, on human performance. However, the cumulative effect of these aspects as disturbances on work performance has yet to be fully elucidated. This study introduces an approach using the Functional Resonance Analysis Method (FRAM) to investigate the impact of multiple disturbances on workers’ performance. Furthermore, this approach explored how the resilience-related skill aspects of workers affect their performance under multiple disturbances. A case study on engine test and repair processes was conducted, employing qualitative data collection and semi-quantitative simulation studies examining the impact of combined disturbances across 4,094 scenarios. The results show that a larger number of compounded variabilities expressed in Common Performance Conditions (CPCs) made it significantly challenging to recover work performance, and CPCs with particularly critical effects were identified. In addition, the FRAM model of skilled workers was shown to sustain higher performance across more scenarios. The approach of this study has demonstrated its ability to provide insights for effectively and safely managing production systems while considering complex disturbances. CC BY 4.0Received 30 December 2023, Revised 4 September 2024, Accepted 17 September 2024, Available online 28 September 2024Correspondence to: b1N04 C3 Building C Cluster, Kyoto daigaku-katsura, Nishikyo-ku, Kyoto-shi, Kyoto, 615-8540, Japan. E-mail address: yasue.naruki.85z@st.kyoto-u.ac.jp (N. Yasue).This paper is based on results from a study supported by the Mazume Research Encouragement Prize. The study is also partially supported by the Knowledge Foundation (KKS), Sweden, through the ACCURATE 4.0 project (grant agreement No. 20200181). The authors would also like to thank the industrial partner of the project, Volvo Penta of Sweden, for their support and collaboration. ACCURATE 4.0 |
| Index Begriffe: | Production Engineering, Human Work Science and Ergonomics, Produktionsteknik, arbetsvetenskap och ergonomi, Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.1016.j.apergo.2024.104391 |
| URL: | Applied Ergonomics, 0003-6870, 2025, 122 |
| Verfügbarkeit: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| Anmerkung: | application/pdf English |
| Other Numbers: | UPE oai:DiVA.org:his-24589 0000-0001-6533-5512 0000-0002-3810-5313 0000-0003-4180-6003 0000-0001-5530-3517 doi:10.1016/j.apergo.2024.104391 PMID 39342914 ISI:001328008800001 Scopus 2-s2.0-85204948721 1512048848 |
| Originalquelle: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| Dokumentencode: | edsoai.on1512048848 |
| Datenbank: | OAIster |
Nájsť tento článok vo Web of Science | Abstract: | With the emergence of Industry 5.0 and an increasing focus on human-centric approaches in manufacturing, the analysis of workers in production systems has gathered significant interest among researchers and practitioners. Previous studies have explored the impact of various aspects, such as skills, fatigue, and circadian rhythms, on human performance. However, the cumulative effect of these aspects as disturbances on work performance has yet to be fully elucidated. This study introduces an approach using the Functional Resonance Analysis Method (FRAM) to investigate the impact of multiple disturbances on workers’ performance. Furthermore, this approach explored how the resilience-related skill aspects of workers affect their performance under multiple disturbances. A case study on engine test and repair processes was conducted, employing qualitative data collection and semi-quantitative simulation studies examining the impact of combined disturbances across 4,094 scenarios. The results show that a larger number of compounded variabilities expressed in Common Performance Conditions (CPCs) made it significantly challenging to recover work performance, and CPCs with particularly critical effects were identified. In addition, the FRAM model of skilled workers was shown to sustain higher performance across more scenarios. The approach of this study has demonstrated its ability to provide insights for effectively and safely managing production systems while considering complex disturbances.<br />CC BY 4.0Received 30 December 2023, Revised 4 September 2024, Accepted 17 September 2024, Available online 28 September 2024Correspondence to: b1N04 C3 Building C Cluster, Kyoto daigaku-katsura, Nishikyo-ku, Kyoto-shi, Kyoto, 615-8540, Japan. E-mail address: yasue.naruki.85z@st.kyoto-u.ac.jp (N. Yasue).This paper is based on results from a study supported by the Mazume Research Encouragement Prize. The study is also partially supported by the Knowledge Foundation (KKS), Sweden, through the ACCURATE 4.0 project (grant agreement No. 20200181). The authors would also like to thank the industrial partner of the project, Volvo Penta of Sweden, for their support and collaboration.<br />ACCURATE 4.0 |
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| DOI: | 10.1016.j.apergo.2024.104391 |