Design of job rotation schedules managing the exposure to age-related risk factors

Volumn 50, Issue 1, 2017, Pages 13993-13997

  Botti, Lucia ^a   Mora, Cristina ^a   Calzavara, Martina ^b  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b UNIVERSITY OF PADOVA   (Italy)

Author keywords

activity scheduling; decision making in complex systems; Intelligent decision support systems in manufacturing; Job; Modelling

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; ERGONOMICS; HEALTH RISKS; MODELS; OCCUPATIONAL DISEASES; RISK ASSESSMENT; SCHEDULING;

ACTIVITY SCHEDULING; ERGONOMIC RISK ASSESSMENTS; FUNCTIONAL CAPACITY; HEALTH AND SAFETY; HIGH FREQUENCY HF; INTELLIGENT DECISION SUPPORT SYSTEMS; REPETITIVE WORKS; WORK-RELATED MUSCULOSKELETAL DISORDERS;

OCCUPATIONAL RISKS;

EID: 85044305896     PISSN: None     EISSN: 24058963     Source Type: Conference Proceeding    
DOI: 10.1016/j.ifacol.2017.08.2420     Document Type: Conference Paper

References (15)

1. Boenzi, F., Digiesi, S., Mossa, G., Mummolo, G., Romano, V.A., Modelling workforce aging in job rotation problems. IFAC-PapersOnLine 48:3 (2015), 604–609 doi:http://dx.doi.org/10.1016/j.ifacol.2015.06.148.
2. Botti, L., Gamberi, M., Manzini, R., Mora, C., & Regattieri, A. (2014). A bi-objective optimization model for work activity scheduling of workers exposed to ergonomic risk. Proceedings of the XIX Summer School “Francesco Turco” Senigallia, Italy., Proceedings of the XIX Summer School “Francesco Turco”..
3. Cardoso, C., Keates, S., Clarkson, P.J., Design for inclusivity: Assessing the accessibility of everyday products, 2005, Cambridge: University of Cambridge.
4. Čiutienė R., & Railaitė R. (2014). Challenges of managing an ageing workforce. Procedia - Social and Behavioral Sciences, 156, 69-73. doi:http://dx.doi.org/10.1016/j.sbspro.2014.11.121.
5. Diego-Mas, J.A., Asensio-Cuesta, S., Sanchez-Romero, M.A., Artacho-Ramirez, M.A., A multi-criteria genetic algorithm for the generation of job rotation schedules,. International Journal of Industrial Ergonomics 39:1 (2009), 23–33.
6. European Commission, Europe 2020: A strategy for smart, sustainable and inclusive growth No. 52010DC2020), 2010, Brussels: EUR-Lex.
7. Fonseca, H., Loureiro, I.F., & Arezes, P. (2013). Development of a job rotation scheme to reduce musculoskeletal disorders: A case study. In G. Perestrelo (Ed.), Occupational safety and hygiene (pp. 351-356) CRC Press.
8. Gonzalez, I., Morer, P., Ergonomics for the inclusion of older workers in the knowledge workforce and a guidance tool for designers. Applied Ergonomics, 53, Part A, 2016, 131–142.
9. Hitchcock, D.R., Lockyer, S., Cook, S., & Quigley, C. (2001). Third age usability and safety—an ergonomics contribution to design. International Journal of Human-Computer Studies, 55(4), 635-643. doi:http://dx.doi.org/10.1006/ijhc.2001.0484.
10. ISO 11228-3 2007, System of standards for labor safety. Ergonomics. Manual handling. Part 3. Handling of low loads at high frequency..
11. McDonald, T., Harder, H.G., Older workers and disability management. International Journal of International Disability Research Centre on Social & Economic Innovation. Special Issue on the Ageing Workforce 3:3 (2004), 1–8.
12. Messac, A., Ismail Yahaya, A., & Mattson, C.A. (2003). The normalized normal constraint method for generating the pareto frontier. Structural and Multidisciplinary Optimization, 25(2), 86-98. doi:10.1007/s00158-002-0276-1.
13. Ministero del Lavoro e delle Politiche Sociali 2008, D.lgs 9 aprile 2008, n.81 Testo unico sulla salute e sicurezza sul lavoro.Schyns, B. (2007). In Rogelberg S. (Ed.), Implicit theory of leadership. Thousand Oaks, CA: SAGE Publications, Inc.
14. System of Standards for Labor Safety. Ergonomics. Manual Handling. Part 3. Handling of Low Loads at High Frequency. (2007).
15. Xu, Z., Ko, J., Cochran, D., Jung, M., Design of assembly lines with the concurrent consideration of productivity and upper extremity musculoskeletal disorders using linear models. Computers & Industrial Engineering 62:2 (2012), 431–441.