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Ageing workforce management in manufacturing systems: state of the art and future research agenda

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  • Martina Calzavara
  • Daria Battini
  • David Bogataj
  • Fabio Sgarbossa
  • Ilenia Zennaro

Abstract

The workforce ageing phenomenon is recently affecting most of the Organisation for Economic Co-operation and Development (OECD) member countries, due to a general ageing of their populations and a higher average retirement age of the workforce. In this paper, the topic of ageing workforce management is addressed from a production research standpoint, with the aim of understanding how older workers can be supported and involved in a manufacturing system. First, the current state of the art related to the ageing workforce in production systems is presented. This is structured according to four main topics: (1) analysis and evaluation of ageing workers’ functional capacities, (2) consideration of ageing workers’ capacities in industrial system modelling and management, (3) analysis and exploitation of ageing workers’ expertise, (4) acknowledgement, analysis, design and integration of supporting technologies. Next, the discussion on the impact of the ageing workforce on manufacturing systems’ performances leads to the comparison of some technological advances that are related to the Industry 4.0 paradigms. Finally, a future research agenda on this topic is proposed, based on the same topics classification proposed for the literature analysis. Five different research areas are derived, suggesting future directions for appropriate research concerning the employ of older workers in production environments.

Suggested Citation

  • Martina Calzavara & Daria Battini & David Bogataj & Fabio Sgarbossa & Ilenia Zennaro, 2020. "Ageing workforce management in manufacturing systems: state of the art and future research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 58(3), pages 729-747, February.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:3:p:729-747
    DOI: 10.1080/00207543.2019.1600759
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    Cited by:

    1. Mirco Peron & Giuseppe Fragapane & Fabio Sgarbossa & Michael Kay, 2020. "Digital Facility Layout Planning," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    2. Joy Otibhor Olurin & Franciscamary Okonkwo & Tobechukwu Eleogu & Oladapo Olakunle James & Nsisong Louis Eyo-Udo & Rosita Eberechukwu Daraojimba, 2024. "Strategic HR Management in the Manufacturing Industry: Balancing Automation and Workforce Development," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(12), pages 380-401, January.
    3. Ranasinghe, Thilini & Grosse, Eric H. & Glock, Christoph H. & Jaber, Mohamad Y., 2024. "Never too late to learn: Unlocking the potential of aging workforce in manufacturing and service industries," International Journal of Production Economics, Elsevier, vol. 270(C).
    4. Campuzano-Bolarín, Francisco & Marín-García, Fulgencio & Moreno-Nicolás, José Andrés & Bogataj, Marija & Bogataj, David, 2021. "Impacts of variable interest rates on the market areas of a spatial duopoly in supply chains operating on the finite horizon," International Journal of Production Economics, Elsevier, vol. 236(C).
    5. Drobne Samo & Bogataj Marija, 2022. "Migration Flows through the Lens of Human Resource Ageing," Business Systems Research, Sciendo, vol. 13(3), pages 47-62, October.
    6. Reiman, Arto & Kaivo-oja, Jari & Parviainen, Elina & Takala, Esa-Pekka & Lauraeus, Theresa, 2021. "Human factors and ergonomics in manufacturing in the industry 4.0 context – A scoping review," Technology in Society, Elsevier, vol. 65(C).
    7. Aisa, Rosa & Cabeza, Josefina & Martin, Jorge, 2023. "Automation and aging: The impact on older workers in the workforce," The Journal of the Economics of Ageing, Elsevier, vol. 26(C).
    8. Henao, César Augusto & Mercado, Yessica Andrea & González, Virginia I. & Lüer-Villagra, Armin, 2023. "Multiskilled personnel assignment with k-chaining considering the learning-forgetting phenomena," International Journal of Production Economics, Elsevier, vol. 265(C).
    9. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    10. Berti, Nicola & Finco, Serena & Battaïa, Olga & Delorme, Xavier, 2021. "Ageing workforce effects in Dual-Resource Constrained job-shop scheduling," International Journal of Production Economics, Elsevier, vol. 237(C).
    11. Grah, Barbara & Penger, Sandra, 2021. "COVID-19 and the Challenges of Transition to Online Learning," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2021), Hybrid Conference, Zagreb, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Zagreb, Croatia, 9-10 September 2021, pages 131-145, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.

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