Ageing and human-system errors in manufacturing: a scoping review
Abstract
Population ageing is acknowledged as a global trend affecting the manufacturing workforce. The progressive age-related decline of human capabilities may lead to an increase in human-system errors (HSEs) in production environments; hence, the study conducted a scoping literature review to determine the relationship between ageing and HSEs in manufacturing contexts. The review identified only 26 relevant studies, which showed that age is associated with HSEs in complex ways. With increasing age, the number, frequency, and probability of HSEs tend to increase, but this trend may be countered by experience effects. The review results suggested that it is necessary to consider the impact of ageing on operators’ performance. A theoretical framework for addressing the relationship between ageing and HSEs in manufacturing contexts was proposed. The framework highlighted the absence of studies reporting on perceptual, cognitive, and/or physical task demands, and the limited application of existing error typologies in the current literature. The results highlighted that important safety, productivity, and quality benefits accrue from paying attention to HSEs in system design and management, which should motivate further research in this area of growing importance.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Because scoping reviews are agnostic to the types of evidence they can draw upon, they can bring together and report heterogeneous literature across disciplines within and beyond health.
“Because scoping reviews are agnostic in terms of the types of evidence they can draw upon, they can be used to bring together and report upon heterogeneous literature—including both empirical and non-empirical evidence—across disciplines within and beyond health [23–25].”
From Scoping reviews: reinforcing and advancing the methodology and application (2021) · cites this paper as [25]
Cites
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373 · see citing works
(2014) · Climate Change 2013 – The Physical Science Basis · doi:10.1017/cbo9781107415324.004 · Cited by 23,880 · see citing works
Guidance for conducting systematic scoping reviews
Peters, M. D. J., Godfrey, C. M., Khalil, H., McInerney, P., Parker, D., & Soares, C. B. (2015) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000050 · Cited by 7,472 · see citing works
Reason, J. (1990) · doi:10.1017/cbo9781139062367 · Cited by 5,108 · see citing works
Industry 4.0: state of the art and future trends
Xu, L. D., Xu, E. L., & Li, L. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1444806 · Cited by 3,405 · see citing works
New Effect Size Rules of Thumb
Sawilowsky, S. S. (2009) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1257035100 · Cited by 3,254 · see citing works
International Journal of Production Research
HAWKINS, T. H. (1962) · Nature · doi:10.1038/1931144a0 · Cited by 2,117 · see citing works
Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal
Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1308576 · Cited by 2,036 · see citing works
Swain, A. D., & Guttmann, H. E. (1983) · doi:10.2172/5752058 · Cited by 1,463 · see citing works
Selective review of cognitive aging
SALTHOUSE, T. A. (2010) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617710000706 · Cited by 1,166 · see citing works
Aging and measures of processing speed
Salthouse, T. A. (2000) · Biological Psychology · doi:10.1016/s0301-0511(00)00052-1 · Cited by 1,114 · see citing works
Verhaeghen, P., & Salthouse, T. A. (1997) · Psychological Bulletin · doi:10.1037/0033-2909.122.3.231 · Cited by 1,078 · see citing works
Vetere, F., Gibbs, M., Kjeldskov, J., Howard, S., Mueller, F., Pedell, S., Mecoles, K., & Bunyan, M. (2005) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055038 · Cited by 1,048 · see citing works
Agrawal, Y. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.14.1522 · Cited by 977 · see citing works
Bherer, L., Erickson, K. I., & Liu-Ambrose, T. (2013) · Journal of Aging Research · doi:10.1155/2013/657508 · Cited by 899 · see citing works
Consequences of Age-Related Cognitive Declines
Salthouse, T. (2012) · Annual Review of Psychology · doi:10.1146/annurev-psych-120710-100328 · Cited by 818 · see citing works
Owsley, C. J. (2010) · Vision Research · doi:10.1016/j.visres.2010.10.020 · Cited by 718 · see citing works
Braver, T. S., Barch, D. M., Keys, B. A., Carter, C. S., Cohen, J. D., Kaye, J. A., Janowsky, J. S., Taylor, S. F., Yesavage, J. A., Mumenthaler, M. S., et al. (2001) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.130.4.746 · Cited by 528 · see citing works
Literature review on the ‘Smart Factory’ concept using bibliometric tools
Strozzi, F., Colicchia, C., Creazza, A., & Noè, C. (2017) · International Journal of Production Research · doi:10.1080/00207543.2017.1326643 · Cited by 517 · see citing works
Ilmarinen, J. E. (2001) · Occupational and Environmental Medicine · doi:10.1136/oem.58.8.546 · Cited by 504 · see citing works
Occupational health and safety in the industry 4.0 era: A cause for major concern?
Badri, A., Boudreau-Trudel, B., & Souissi, A. (2018) · Safety Science · doi:10.1016/j.ssci.2018.06.012 · Cited by 500 · see citing works
Sixth European Working Conditions Survey – Overview Report
Eurofound (2016) · eCommons (Cornell University) · Cited by 453 · see citing works
Rate and Mechanism of Maximal Oxygen Consumption Decline with Aging
Hawkins, S. A., & WISWELL, R. A. (2003) · Sports Medicine · doi:10.2165/00007256-200333120-00002 · Cited by 422 · see citing works
David, R., Stahre, J., Wuest, T., Noran, O. S., Bernus, P., Berglund, Å. F., & Gorecky, D. (2016) · Chalmers Publication Library (Chalmers University of Technology) · Cited by 362 · see citing works
Physical work capacity in older adults: Implications for the aging worker
Kenny, G. P., Yardley, J. E., Martineau, L., & Jay, O. (2008) · American Journal of Industrial Medicine · doi:10.1002/ajim.20600 · Cited by 317 · see citing works
Human factors in order picking: a content analysis of the literature
Grosse, E. H., Glock, C. H., & Neumann, P. (2016) · International Journal of Production Research · doi:10.1080/00207543.2016.1186296 · Cited by 302 · see citing works
Working memory and inhibition across the adult life-span
Borella, E., Carretti, B., & Béni, R. D. (2007) · Acta Psychologica · doi:10.1016/j.actpsy.2007.09.008 · Cited by 295 · see citing works
Age-Dependent Changes in Temperature Regulation – A Mini Review
Blatteis, C. M. (2011) · Gerontology · doi:10.1159/000333148 · Cited by 284 · see citing works
Aging, Motor Control, and the Performance of Computer Mouse Tasks
Smith, M. W., Sharit, J., & Czaja, S. J. (1999) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872099779611102 · Cited by 260 · see citing works
Meeting the challenges of an aging workforce
Silverstein, M. (2008) · American Journal of Industrial Medicine · doi:10.1002/ajim.20569 · Cited by 252 · see citing works
Human factors: spanning the gap between OM and HRM
Neumann, P., & Dul, J. (2010) · International Journal of Operations & Production Management · doi:10.1108/01443571011075056 · Cited by 251 · see citing works
Kotter‐Grühn, D., Kornadt, A. E., & Stéphan, Y. (2015) · Gerontology · doi:10.1159/000438671 · Cited by 250 · see citing works
Charness, N. (2008) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872008x312161 · Cited by 247 · see citing works
Deary, I. J., & Der, G. (2005) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580590969235 · Cited by 243 · see citing works
Productivity and age: Evidence from work teams at the assembly line
Borsch-Supan, A. H., & Weiss, M. (2016) · The Journal of the Economics of Ageing · doi:10.1016/j.jeoa.2015.12.001 · Cited by 233 · see citing works
Ageing workforce management in manufacturing systems: state of the art and future research agenda
Calzavara, M., Battini, D., Bogataj, D., Sgarbossa, F., & Zennaro, I. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1600759 · Cited by 208 · see citing works
Skyttner, L. G. (2001) · WORLD SCIENTIFIC eBooks · doi:10.1142/4307 · Cited by 194 · see citing works
Incorporating human factors in order picking planning models: framework and research opportunitiesPreprint
Grosse, E. H., Glock, C. H., Jaber, M. Y., & Neumann, P. (2015) · RePEc: Research Papers in Economics · doi:10.1080/00207543.2014.919424#.vhhcfmme98e · Cited by 189 · see citing works
Physical workload and the ageing worker: a review of the literature
de Zwart, B. C. H., Frings‐Dresen, M. H. W., & van Dijk, F. J. H. (1996) · International Archives of Occupational and Environmental Health · doi:10.1007/bf01831627 · Cited by 173 · see citing works
Age-related differences in performance with touchscreens compared to traditional mouse input
Findlater, L., Froehlich, J. E., Fattal, K., Wobbrock, J. O., & Dastyar, T. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/2470654.2470703 · Cited by 172 · see citing works
The health safety and health promotion needs of older workers
Crawford, J. O., Graveling, R. A., Cowie, H. A., & Dixon, K. (2010) · Occupational Medicine · doi:10.1093/occmed/kqq028 · Cited by 171 · see citing works
Production quality and human factors engineering: A systematic review and theoretical framework
Kolus, A., Wells, R., & Neumann, P. (2018) · Applied Ergonomics · doi:10.1016/j.apergo.2018.05.010 · Cited by 167 · see citing works
Balmain, B. N., Sabapathy, S., Louis, M., & Morris, N. R. (2018) · BioMed Research International · doi:10.1155/2018/8306154 · Cited by 162 · see citing works
Maintenance for Sustainability in the Industry 4.0 context: a Scoping Literature Review
Franciosi, C., Iung, B., Miranda, S., & Riemma, S. (2018) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2018.08.459 · Cited by 159 · see citing works
Self-citationA framework to design a human-centred adaptive manufacturing system for aging workers
Peruzzini, M., & Pellicciari, M. (2017) · Advanced Engineering Informatics · doi:10.1016/j.aei.2017.02.003 · Cited by 150 · see citing works
Human errors in fatal and serious occupational accidents in Finland
Salminen, S. T., & Tallberg, T. (1996) · Ergonomics · doi:10.1080/00140139608964518 · Cited by 137 · see citing works
Neumann, P., Kihlberg, S., Medbo, P., Mathiassen, S. E., & Winkel, J. (2002) · International Journal of Production Research · doi:10.1080/00207540210148862 · Cited by 135 · see citing works
Production system design elements influencing productivity and ergonomics
Neumann, P., Winkel, J., Medbo, L., Magneberg, R., & Mathiassen, S. E. (2006) · International Journal of Operations & Production Management · doi:10.1108/01443570610678666 · Cited by 133 · see citing works
A Simulator for Human Error Probability Analysis (SHERPA)
Pasquale, V. D., Miranda, S., Iannone, R., & Riemma, S. (2015) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2015.02.003 · Cited by 130 · see citing works
Self-citationAge, human performance, and physical employment standards
Kenny, G. P., Groeller, H., McGinn, R., & Flouris, A. D. (2016) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2015-0483 · Cited by 128 · see citing works
Salmon, P. M., Walker, G. H., & Stanton, N. A. (2015) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2015.1106618 · Cited by 119 · see citing works
He, J., Chu, F., Zheng, F., Liu, M., & Chu, C. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1656841 · Cited by 113 · see citing works
Spatial Abilities and Aging: A Meta-Analysis
Techentin, C., Voyer, D., & Voyer, S. D. (2014) · Experimental Aging Research · doi:10.1080/0361073x.2014.926773 · Cited by 112 · see citing works
Health and safety of the older worker
Farrow, A., & Reynolds, F. A. (2011) · Occupational Medicine · doi:10.1093/occmed/kqr148 · Cited by 109 · see citing works
Inclusion of fatigue effects in human reliability analysis
Griffith, C. D., & Mahadevan, S. (2011) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2011.06.005 · Cited by 106 · see citing works
Classification system for reporting events involving human malfunctions
Rasmussen, J., Pedersen, O. M., Mancini, G. M., Carnino, A., Griffon, M., & Gagnolet, P. (1981) · Cited by 106 · see citing works
A meta-analysis of the relationship between ageing and occupational safety and health
Peng, L., & Chan, A. H. S. (2018) · Safety Science · doi:10.1016/j.ssci.2018.10.030 · Cited by 105 · see citing works
Ergonomics action research II: a framework for integrating HF into work system design
Neumann, P., & Village, J. L. (2012) · Ergonomics · doi:10.1080/00140139.2012.706714 · Cited by 103 · see citing works
Effects of aging and job demands on cognitive flexibility assessed by task switching
Gajewski, P. D., Wild–Wall, N., Schapkin, S. A., Erdmann, U., Freude, G., & Falkenstein, M. (2010) · Biological Psychology · doi:10.1016/j.biopsycho.2010.06.009 · Cited by 103 · see citing works
Age and Physical Work Capacity
Shephard, R. J. (1999) · Experimental Aging Research · doi:10.1080/036107399243788 · Cited by 101 · see citing works
Dode, P., Greig, M. A., Zolfaghari, S., & Neumann, P. (2016) · International Journal of Production Research · doi:10.1080/00207543.2016.1166287 · Cited by 101 · see citing works
Occupational health and safety management in the context of an ageing workforce
Varianou-Mikellidou, C., Boustras, G., Dimopoulos, C., Wybo, J., Guldenmund, F. W., Nicolaidou, O., & Anyfantis, I. D. (2019) · Safety Science · doi:10.1016/j.ssci.2019.03.009 · Cited by 99 · see citing works
Improving Order-Picking Response Time at Ankor's Warehouse
Dekker, R., de Koster, R. B. M., Roodbergen, K. J., & van Kalleveen, H. (2004) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.1040.0083 · Cited by 96 · see citing works
Good ergonomics and team diversity reduce absenteeism and errors in car manufacturing
Fritzsche, L., Wegge, J., Schmauder, M., Kliegel, M., & Schmidt, K.-H. (2014) · Ergonomics · doi:10.1080/00140139.2013.875597 · Cited by 93 · see citing works
Examining the fatigue-quality relationship in manufacturing
Yung, M., Kolus, A., Wells, R. P., & Neumann, P. (2019) · Applied Ergonomics · doi:10.1016/j.apergo.2019.102919 · Cited by 93 · see citing works
Morrell, R. W., & Park, D. C. (1993) · Psychology and Aging · doi:10.1037/0882-7974.8.3.389 · Cited by 92 · see citing works
Decision support models for production ramp-up: a systematic literature review
Glock, C. H., & Grosse, E. H. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1064185 · Cited by 87 · see citing works
Schibye, B., Hansen, A., Søgaard, K., & Christensen, H. (2001) · Applied Ergonomics · doi:10.1016/s0003-6870(01)00034-5 · Cited by 85 · see citing works
Safety considerations for the aging workforce
Kowalski-Trakofler, K. M., Steiner, L. J., & Schwerha, D. J. (2005) · Safety Science · doi:10.1016/j.ssci.2005.08.014 · Cited by 84 · see citing works
Number skills are maintained in healthy ageing
Cappelletti, M., Didino, D., Stoianov, I. P., & Zorzi, M. (2014) · Cognitive Psychology · doi:10.1016/j.cogpsych.2013.11.004 · Cited by 82 · see citing works
Streb, C. K., Voelpel, S. C., & Leibold, M. (2008) · European Management Journal · doi:10.1016/j.emj.2007.08.004 · Cited by 81 · see citing works
How Age Affects Pointing With Mouse and Touchpad: A Comparison of Young, Adult, and Elderly Users
Hertzum, M., & Hornbæk, K. (2010) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2010.487198 · Cited by 79 · see citing works
A framework for operator – workstation interaction in Industry 4.0
Golan, M., Cohen, Y., & Singer, G. (2019) · International Journal of Production Research · doi:10.1080/00207543.2019.1639842 · Cited by 78 · see citing works
A Review of Cognitive Models in Human Reliability Analysis
Pan, X., Ye, L., & He, C. (2016) · Quality and Reliability Engineering International · doi:10.1002/qre.2111 · Cited by 76 · see citing works
Issues in benchmarking human reliability analysis methods: A literature review
Boring, R. L., Hendrickson, S. M. L., Forester, J. A., Tran, T. Q., & Lois, E. (2010) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2010.02.002 · Cited by 75 · see citing works
Need for recovery from work in relation to age: a prospective cohort study
Mohren, D. C. L., Jansen, N., & Kant, I. (2009) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-009-0491-9 · Cited by 75 · see citing works
Usability evaluation of numeric entry tasks on keypad type and age
Chung, M. K., Kim, D.-J., Na, S., & Lee, D. (2009) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2009.08.001 · Cited by 68 · see citing works
Chan, G., Tan, V., & Koh, D. S. Q. (2000) · Occupational Medicine · doi:10.1093/occmed/50.7.483 · Cited by 67 · see citing works
A socio-technical view of performance impact of integrated quality and sustainability strategies
Chaudhuri, A., & Jayaram, J. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1492162 · Cited by 67 · see citing works
A review of methodologies for integrating human factors and ergonomics in engineering design
Sun, X., Houssin, R., Renaud, J., & Gardoni, M. (2018) · International Journal of Production Research · doi:10.1080/00207543.2018.1492161 · Cited by 67 · see citing works
Chen, J., & Or, C. K. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.03.013 · Cited by 65 · see citing works
Age and Time Effects on Implicit and Explicit Learning
Verneau, M., van der Kamp, J., Savelsbergh, G. J. P., & de Looze, M. P. (2014) · Experimental Aging Research · doi:10.1080/0361073x.2014.926778 · Cited by 63 · see citing works
Expert judgments for performance shaping Factors’ multiplier design in human reliability analysis
Liu, P., Qiu, Y., Hu, J., Tong, J., Zhao, J., & Li, Z. (2018) · Reliability Engineering & System Safety · doi:10.1016/j.ress.2018.12.022 · Cited by 59 · see citing works
Village, J. L., Searcy, C., Salustri, F. A., & Neumann, P. (2015) · Ergonomics · doi:10.1080/00140139.2015.1022232 · Cited by 56 · see citing works
Shibasaki, M., Okazaki, K., & Inoue, Y. (2013) · The Journal of Physical Fitness and Sports Medicine · doi:10.7600/jpfsm.2.37 · Cited by 55 · see citing works
Adult Age Differences in Errand Planning: The Role of Task Familiarity and Cognitive Resources
Kliegel, M., Martin, M., McDaniel, M. A., & Phillips, L. H. (2007) · Experimental Aging Research · doi:10.1080/03610730601177395 · Cited by 55 · see citing works
Human Error and Human Reliability Analysis
Sharit, J. (2012) · doi:10.1002/9781118131350.ch26 · Cited by 38 · see citing works
Understanding sources of user variability in computer-based data entry performance
Czaja, S. J., Sharit, J., Nair, S. N., & Rubert, M. P. (1998) · Behaviour and Information Technology · doi:10.1080/014492998119355 · Cited by 38 · see citing works
A model for break scheduling assessment in manufacturing systems
Pasquale, V. D., Fruggiero, F., Iannone, R., & Miranda, S. (2017) · Computers & Industrial Engineering · doi:10.1016/j.cie.2017.05.017 · Cited by 38 · see citing works
Self-citationLinking Business Modelling to Socio-technical System Design
Sutcliffe, A., & Minocha, S. (1999) · Notes on numerical fluid mechanics and multidisciplinary design · doi:10.1007/3-540-48738-7_7 · Cited by 37 · see citing works
Ageing and errors in computer‐based work: An observational field study
Birdi, K. S., Pennington, J., & Zapf, D. (1997) · Journal of Occupational and Organizational Psychology · doi:10.1111/j.2044-8325.1997.tb00629.x · Cited by 37 · see citing works
Mehta, R. K., & Agnew, M. J. (2010) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2010.06.003 · Cited by 35 · see citing works
Aging and Vigilance: Who Has the Inhibition Deficit?
Brache, K., Scialfa, C. T., & Hudson, C. (2010) · Experimental Aging Research · doi:10.1080/03610731003613425 · Cited by 31 · see citing works
A comparative study of information input devices for aging computer users
Jochems, N., Vetter, S., & Schlick, C. M. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2012.692100 · Cited by 27 · see citing works
Pennathur, A., Contreras, L. R., Arcaute, K., & Dowling, W. (2003) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2003.07.001 · Cited by 25 · see citing works
Methodology for the analysis and quantification of human error probability in manufacturing systems
Pasquale, V. D., Franciosi, C., Lambiase, A., & Miranda, S. (2016) · IEEE Student Conference on Research and Development (SCOReD) · doi:10.1109/scored.2016.7810093 · Cited by 24 · see citing works
Self-citationDigital Human Modelling and the Ageing Workforce
Case, K., Hussain, A., Marshall, R., Summerskill, S., & Gyi, D. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.794 · Cited by 20 · see citing works
Different interaction paradigms for different user groups
de Carvalho, D. C. M., Bessa, M., & Magalhães, L. (2014) · doi:10.1145/2662253.2662293 · Cited by 16 · see citing works
Performance evaluation of gesture-based interaction between different age groups using Fitts' Law
de Carvalho, D. C. M., Bessa, M., Magalhães, L., & Carrapatoso, E. (2015) · International Conference on Human Computer Interaction (Interacción) · doi:10.1145/2829875.2829920 · Cited by 15 · see citing works
Hosseini, A. (2012) · Indian Journal of Science and Technology · doi:10.17485/ijst/2012/v5i8.20 · Cited by 14 · see citing works
Ellis, R. D. (1999) · International Journal of Computer Integrated Manufacturing · doi:10.1080/095119299130353 · Cited by 13 · see citing works
Hosseini, A., Jafari, M., Mehrabi, Y., et al. (2012) · Indian Journal of Science and Technology · doi:10.17485/ijst/2012/v5i8/30534 · Cited by 11 · see citing works
What Are the Causes, Prevention and Treatment of Hearing Loss in the Ageing Worker?
Irwin, J. (2000) · Occupational Medicine · doi:10.1093/occmed/50.7.492 · Cited by 11 · see citing works
de Carvalho, D. C. M., Bessa, M., Magalhães, L., & Carrapatoso, E. (2017) · Universal Access in the Information Society · doi:10.1007/s10209-016-0518-4 · Cited by 11 · see citing works
Pasquale, V. D., Miranda, S., Iannone, R., & Riemma, S. (2015) · Annual Simulation Symposium (ANSS) · Cited by 10 · see citing works
Self-citationEvaluating change in user error when using ruggedized handheld devices
Cannon, A. B., Strawderman, L. J., & Burch, R. F. V. (2015) · Applied Ergonomics · doi:10.1016/j.apergo.2015.05.001 · Cited by 9 · see citing works
Human mismatches and preferences for automation
Rani, M. R. A., Sinclair, M., & Case, K. (2000) · International Journal of Production Research · doi:10.1080/00207540050204894 · Cited by 8 · see citing works
An experimental investigation of human mismatches in machining
Case, K., Sinclair, M., & Rani, M. R. A. (1999) · Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture · doi:10.1243/0954405991517362 · Cited by 7 · see citing works
Age group differences in performance using diverse input modalities
de Carvalho, D. C. M., Bessa, M., Magalhães, L., & Carrapatoso, E. (2016) · International Conference on Human Computer Interaction (Interacción) · doi:10.1145/2998626.2998664 · Cited by 7 · see citing works
Workplace Accident Prevention and Improvement of Work Ability in an Aging Society
Park, S., Yang, D.-J., Shin, J.-I., Park, S., Oh, H.-W., Choi, E.-M., Park, Y., Park, B.-R., Park, M. S., & Yeong-Ae, Y. (2012) · Journal of Physical Therapy Science · doi:10.1589/jpts.24.143 · Cited by 6 · see citing works
Kano, A., & Read, J. C. (2009) · doi:10.5555/1671011.1671047 · Cited by 5 · see citing works
Ruggedized handheld device input effectiveness by generation: A time and error study
Burch, R. F. V., Strawderman, L. J., & Carruth, D. W. (2016) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2016.06.001 · Cited by 5 · see citing works
Ergo + 50: Ergonomic Assessment Methodology Aimed at Older Workers
Remesal, A. F., Moreno, C. C., Cuesta, A. P., Puente, R. P., Arnau, S. S., Latorre-Sánchez, C., & Almenara, M. S. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-20145-6_3 · Cited by 4 · see citing works
Kano, A., & Read, J. C. (2009) · Electronic workshops in computing · doi:10.14236/ewic/hci2009.35 · Cited by 3 · see citing works
Flagged first, then by citations
1 of the 115 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Scoping reviews: reinforcing and advancing the methodology and application
Peters, M. D. J., Marnie, C., Colquhoun, H., Garritty, C. M., Hempel, S., Horsley, T., Langlois, E. V., Lillie, E., O’Brien, K. K., Tunçalp, Ӧ., et al. (2021) · Systematic Reviews · doi:10.1186/s13643-021-01821-3 · Cited by 887 · see citing works
Human factors in production and logistics systems of the future
Sgarbossa, F., Grosse, E. H., Neumann, P., Battini, D., & Glock, C. H. (2020) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2020.04.007 · Cited by 334 · see citing works
A scoping review of human robot interaction research towards Industry 5.0 human-centric workplaces
Panagou, S., Neumann, P., & Fruggiero, F. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2172473 · Cited by 193 · see citing works
Human-Robot Collaboration: an analysis of worker’s performance
Simone, V. D., Pasquale, V. D., Giubileo, V., & Miranda, S. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.01.355 · Cited by 104 · see citing works
Self-citationKatiraee, N., Calzavara, M., Finco, S., Battini, D., & Battaïa, O. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1884766 · Cited by 95 · see citing works
Simonetto, M., Arena, S., & Peron, M. (2021) · Safety Science · doi:10.1016/j.ssci.2021.105561 · Cited by 89 · see citing works
A sustainable circular 3D printing model for recycling metal scrap in the automotive industry
Nascimento, D. L. D. M., Nepomuceno, R. M., Caiado, R. G. G., Marín, J. M. M., Moyano‐Fuentes, J., & Garza‐Reyes, J. A. (2022) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-10-2021-0391 · Cited by 76 · see citing works
An overview on the use of AI/ML in Manufacturing MSMEs: solved issues, limits, and challenges
Simone, V. D., Pasquale, V. D., & Miranda, S. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.382 · Cited by 75 · see citing works
Self-citationFailure analysis of CNC machines due to human errors: An integrated IT2F-MCDM-based FMEA approach
Boral, S., & Chakraborty, S. (2021) · Engineering Failure Analysis · doi:10.1016/j.engfailanal.2021.105768 · Cited by 64 · see citing works
Determining the source of human-system errors in manual order picking with respect to human factors
Setayesh, A., Grosse, E. H., Glock, C. H., & Neumann, P. (2021) · International Journal of Production Research · doi:10.1080/00207543.2021.1991022 · Cited by 54 · see citing works
Critical Infrastructures Overview: Past, Present and Future
Felice, F. D., Baffo, I., & Petrillo, A. (2022) · Sustainability · doi:10.3390/su14042233 · Cited by 50 · see citing works
Procurement 4.0 to the rescue: catalysing its adoption by modelling the challenges
Jerome, J. J. J., Saxena, D., Sonwaney, V. P., & Foropon, C. R. H. (2021) · Benchmarking An International Journal · doi:10.1108/bij-01-2021-0030 · Cited by 44 · see citing works
Fontoura, L., Nascimento, D. L. D. M., Neto, J. V., & Caiado, R. G. G. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.102847 · Cited by 41 · see citing works
Real-time energy flow mapping: A VSM-based proposal for energy efficiency
Fontoura, L., Nascimento, D. L. D. M., Vieira, J., García-Buendía, N., Garza-Reyes, J., Lima, G., Tortorella, G., Caiado, R., & Meiriño, M. (2023) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2023.137871 · Cited by 36 · see citing works
Ranasinghe, T., Grosse, E. H., Glock, C. H., & Jaber, M. Y. (2024) · International Journal of Production Economics · doi:10.1016/j.ijpe.2024.109193 · Cited by 38 · see citing works
A taxonomy of factors influencing worker's performance in human–robot collaboration
Pasquale, V. D., Simone, V. D., Giubileo, V., & Miranda, S. (2022) · IET Collaborative Intelligent Manufacturing · doi:10.1049/cim2.12069 · Cited by 37 · see citing works
Self-citationNascimento, D. L. D. M., Quelhas, O. L. G., Moyano‐Fuentes, J., Tortorella, G. L., & Marín, J. M. M. (2022) · Sustainable Production and Consumption · doi:10.1016/j.spc.2022.10.012 · Cited by 37 · see citing works
Reiman, A., Kaivo-oja, J. R. L., Parviainen, E., Takala, E., & Lauraéus, T. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2291814 · Cited by 33 · see citing works
Peron, M., Arena, S., Micheli, G. J. L., & Sgarbossa, F. (2021) · Safety Science · doi:10.1016/j.ssci.2021.105598 · Cited by 30 · see citing works
How to Measure Stress in Smart and Intelligent Manufacturing Systems: A Systematic Review
Blandino, G. (2023) · Systems · doi:10.3390/systems11040167 · Cited by 23 · see citing works
The Sustainable Role of Human Factor in I4.0 scenarios
Panagou, S., Fruggiero, F., & Lambiase, A. (2021) · Procedia Computer Science · doi:10.1016/j.procs.2021.01.354 · Cited by 23 · see citing works
Kolus, A., Wells, R. P., & Neumann, P. (2022) · Ergonomics · doi:10.1080/00140139.2022.2119285 · Cited by 18 · see citing works
A Reflective Framework for Understanding Workforce Evolutionary Pathways in Industry 5.0
Lagorio, A., Cimini, C., & Romero, D. (2023) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-43662-8_36 · Cited by 14 · see citing works
Arocena, P., & Carrizosa, L. M. G. (2023) · Journal of Safety Research · doi:10.1016/j.jsr.2023.07.009 · Cited by 11 · see citing works
Tehranchi, F., Bagherzadeh, A., & Ritter, F. E. (2023) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s089006042300015x · Cited by 9 · see citing works
The Entropic Complexity of Human Factor in Collaborative Technologies
Panagou, S., Fruggiero, F., Neumann, P., & Lambiase, A. (2021) · Lecture notes in networks and systems · doi:10.1007/978-3-030-74608-7_62 · Cited by 9 · see citing works
Wei, S., Li, Y., Yang, H. C., Xie, M., & Wang, Y. (2023) · Transport Policy · doi:10.1016/j.tranpol.2023.08.009 · Cited by 8 · see citing works
Ergonomics and aging: A bibliometric analysis
PAMUK, D., Faezi, S. A., & Başıbüyük, G. Ö. (2022) · Work · doi:10.3233/wor-210112 · Cited by 8 · see citing works
Schery, C. A. D., Caiado, R. G. G., Corseuil, E. T., & Neves, H. F. (2025) · Construction Innovation · doi:10.1108/ci-10-2024-0305 · Cited by 7 · see citing works
Tavakoli, M., & Nafar, M. (2021) · Quality and Reliability Engineering International · doi:10.1002/qre.2941 · Cited by 7 · see citing works
Evaluation of a Semi-Active Upper-Limb Exoskeleton While Performing Material Handling Tasks
Pascucci, F., Feola, E., Cesari, P., & Calanca, A. (2025) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2025.3573032 · Cited by 6 · see citing works
Job Stress, Burnout, and Work Ability in Tire Manufacturing: The Role of Age and Experience
Lee, J., Lee, K., Ha, J., & Hwang, J. (2025) · Safety · doi:10.3390/safety11010008 · Cited by 6 · see citing works
Risk management in wine supply chain: a state-of-the-art analysis
Franco, B., Simone, V. D., Capolupo, A., Miglietta, P. P., & Iannone, R. (2025) · Procedia Computer Science · doi:10.1016/j.procs.2025.01.285 · Cited by 6 · see citing works
Evaluating usability, functionality, and usefulness of the warehousing error prevention tool
Setayesh, A., Grosse, E. H., Greig, M. A., Glock, C. H., & Neumann, P. (2023) · International Journal of Production Research · doi:10.1080/00207543.2023.2198614 · Cited by 6 · see citing works
Workload and stress evaluation in advanced manufacturing systems
Blandino, G. (2023) · Materials research proceedings · doi:10.21741/9781644902714-7 · Cited by 6 · see citing works
Complexity based investigation in collaborative assembly scenarios via non intrusive techniques
Panagou, S., Sileo, M., Papoutsakis, K. E., Fruggiero, F., Qammaz, A., & Argyros, A. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2022.12.243 · Cited by 5 · see citing works
Aging Workforce and Learning: State-of-the-art
Ranasinghe, T., Grosse, E. H., Glock, C. H., & Jaber, M. Y. (2023) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2023.10.1652 · Cited by 5 · see citing works
Nenna, F., Zanardi, D., Pluchino, P., & Gamberini, L. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2291678 · Cited by 4 · see citing works
Exploring the Inclusion of Structural Masonry in Higher Education, South Africa
Khuzwayo, B., & Bernhardt, W. (2022) · Africa Education Review · doi:10.1080/18146627.2024.2312273 · Cited by 3 · see citing works
Setayesh, A., Greig, M. A., Grosse, E. H., Glock, C. H., & Neumann, P. (2024) · Ergonomics · doi:10.1080/00140139.2024.2389287 · Cited by 3 · see citing works
Understanding Algorithmic Management in the Traditional Work Context: A Quantitative Analysis
Schmid, A. L., & Wiesche, M. (2026) · Lecture notes in information systems and organisation · doi:10.1007/978-3-032-08483-5_20 · Cited by 2 · see citing works
Artificial Intelligence in Remanufacturing Contexts: Current Status and Future Opportunities
Simone, V. D., Luisi, G., Macchiaroli, R., Fruggiero, F., & Miranda, S. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-52649-7_2 · Cited by 2 · see citing works
Self-citationGreig, M. A., Qureshi, S. M., Yung, M., Purdy, N., Bookey‐Bassett, S., & Neumann, P. (2025) · International Journal of Production Research · doi:10.1080/00207543.2025.2580539 · Cited by 2 · see citing works
BERT-Based Transfer Learning Model to Enhance Human Resource Performance Appraisal System
Xi, L. H., Ai, K. Y., Salleh, N. M., Wong, M. E. L., & Mohammed, F. (2024) · International Conference on Network Applications, Protocols and Services (NETAPPS) · doi:10.1109/netapps63333.2024.10823610 · Cited by 1 · see citing works
Amini, Z., Habibi, E., Asady, H., Gholamian, J., & Dabaghi, E. (2022) · International Journal of Environmental Health Engineering · doi:10.4103/ijehe.ijehe_13_22 · Cited by 1 · see citing works
Use of innovative physical models for the needs of effective education
Kovalčík, J., & Straka, M. (2022) · CLC ... · doi:10.37904/clc.2022.4551
Saloni, S., Gupta, N., Agarwal, A. K., & Jain, V. K. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-8669-9.ch009
Transforming Workplaces with Human‐Robot Collaboration
Swathi, B. (2025) · Wiley eBooks · doi:10.1002/9781394238354.ch15
Varttuneiden kestävä työura ja sen johtaminen
Liikanen, E., & Heimonen, P. (2026) · Sosiaalilääketieteellinen Aikakauslehti · doi:10.23990/sa.179554
Fontoura, L., Nascimento, D. L. D. M., Neto, J., & Tortorella, G. L. (2026) · International Journal of Production Research · doi:10.1080/00207543.2026.2675461
Rolim, S. A. M., Sánchez, L. M. T., Costa, A. C. F., da Silva, S. S., Galdamez, E. V. C., Kandasamy, J., de Oliveira, O. J., & Leal, G. C. L. (2026) · Safety Science · doi:10.1016/j.ssci.2026.107353
Kim, J., Jung, H., & Oh, S. (2026) · International Journal of Occupational Safety and Ergonomics · doi:10.1080/10803548.2026.2726076
- Authors
- Di Pasquale, V., Miranda, S., & Neumann, W. P.
- Affiliations
- Department of Industrial Engineering, University of Salerno
- University of Salerno (IT)
- Department of Mechanical and Industrial Engineering, Ryerson University
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2020-06-11
- Volume
- 58
- Issue
- 15
- Pages
- 4716-4740
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W3034743776
- Cited by
- 53
- References
- 115
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 4 · 2023: 16 · 2022: 10 · 2021: 10 · 2020: 1
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Production Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Natural Sciences and Engineering Research Council of Canada (NSERC; RGPIN-2018-05956)
- Topics
- Health Sciences › Health Professions › Radiological and Ultrasound Technology › Occupational Health and Safety Research
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Safety Management
- Keywords
- population aging, manufacturing workforce, age-related cognitive decline, operator performance, error typology, experience effects, human factors in manufacturing, safety, productivity, quality, system design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
