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Workforce planning in production with flexible or budgeted employee training and volatile demand

Author

Listed:
  • Patricia Heuser

    (RWTH Aachen University - Chair of Management Accounting)

  • Peter Letmathe

    (RWTH Aachen University - Chair of Management Accounting)

  • Matthias Schinner

    (RWTH Aachen University - Chair of Management Accounting)

Abstract

Companies have to adapt their product portfolio to rapidly changing markets and high demand volatility. As a result, they need to invest in workforce learning and training measures to gain flexibility. Especially during ramp-up phases employees have to adjust their skill set to new production requirements. While traditional employee training models focus on a condensed period of training at the beginning of a production ramp-up, we aim to shed light on the effectiveness of more flexible concepts of training with a general availability of training measures during a product’s life cycle. We budget training in two dimensions, (1) training capacity per period and (2) periods that do not allow training. To analyze the impact of different training scenarios, a multi-period workforce scheduling problem with workers who learn through learning-by-doing and training is considered. The model further incorporates forgetting. We distinguish a flexible and a budgeted training environment. In the budgeted setting, training measures are only available in the first periods of a production ramp-up to a limited extent. Data from a computational study with 600 scenarios and near-optimal solutions are analyzed statistically to derive insights into an employee’s skill development. Overall, we investigate different training strategies under demand volatility and capacity scenarios and analyze the specific outcomes in order to provide managerial implications. Our results indicate that traditional budgeting of training measures has a negative effect on employee learning. The negative impact of budgeting is stronger when production capacity is scarce and demand cannot be fully satisfied.

Suggested Citation

  • Patricia Heuser & Peter Letmathe & Matthias Schinner, 2022. "Workforce planning in production with flexible or budgeted employee training and volatile demand," Journal of Business Economics, Springer, vol. 92(7), pages 1093-1124, September.
  • Handle: RePEc:spr:jbecon:v:92:y:2022:i:7:d:10.1007_s11573-022-01090-z
    DOI: 10.1007/s11573-022-01090-z
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    References listed on IDEAS

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    1. D-L Yang & W-H Kuo, 2007. "Single-machine scheduling with an actual time-dependent learning effect," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1348-1353, October.
    2. Jaber, Mohamad Y. & Kher, Hemant V. & Davis, Darwin J., 2003. "Countering forgetting through training and deployment," International Journal of Production Economics, Elsevier, vol. 85(1), pages 33-46, July.
    3. Digiesi, Salvatore & Kock, Ad A.A. & Mummolo, Giovanni & Rooda, Jacobus E., 2009. "The effect of dynamic worker behavior on flow line performance," International Journal of Production Economics, Elsevier, vol. 120(2), pages 368-377, August.
    4. Michael A. Lapré & Amit Shankar Mukherjee & Luk N. Van Wassenhove, 2000. "Behind the Learning Curve: Linking Learning Activities to Waste Reduction," Management Science, INFORMS, vol. 46(5), pages 597-611, May.
    5. Biskup, Dirk, 2008. "A state-of-the-art review on scheduling with learning effects," European Journal of Operational Research, Elsevier, vol. 188(2), pages 315-329, July.
    6. Janice E. Carrillo & Cheryl Gaimon, 2000. "Improving Manufacturing Performance Through Process Change and Knowledge Creation," Management Science, INFORMS, vol. 46(2), pages 265-288, February.
    7. Petrit (Pete) Dode & Michael Greig & Saeed Zolfaghari & W. Patrick Neumann, 2016. "Integrating human factors into discrete event simulation: a proactive approach to simultaneously design for system performance and employees’ well being," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3105-3117, May.
    8. Jaber, Mohamad Y. & Guiffrida, Alfred L., 2008. "Learning curves for imperfect production processes with reworks and process restoration interruptions," European Journal of Operational Research, Elsevier, vol. 189(1), pages 93-104, August.
    9. Gutjahr, Walter J. & Katzensteiner, Stefan & Reiter, Peter & Stummer, Christian & Denk, Michaela, 2010. "Multi-objective decision analysis for competence-oriented project portfolio selection," European Journal of Operational Research, Elsevier, vol. 205(3), pages 670-679, September.
    10. De Bruecker, Philippe & Van den Bergh, Jorne & Beliën, Jeroen & Demeulemeester, Erik, 2015. "Workforce planning incorporating skills: State of the art," European Journal of Operational Research, Elsevier, vol. 243(1), pages 1-16.
    11. Klaus R.N. Hansen & Martin Grunow, 2015. "Modelling ramp-up curves to reflect learning: improving capacity planning in secondary pharmaceutical production," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5399-5417, September.
    12. Burak Büke & Özgür M. Araz & John W. Fowler, 2016. "Cross-Training with Imperfect Training Schemes," Production and Operations Management, Production and Operations Management Society, vol. 25(7), pages 1216-1231, July.
    13. Grosse, E. H. & Glock, C. H. & Müller, Seb., 2015. "Production economics and the learning curve: A Meta-Analysis," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74127, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Argote, Linda & Ingram, Paul, 2000. "Knowledge Transfer: A Basis for Competitive Advantage in Firms," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 150-169, May.
    15. Qin, Ruwen & Nembhard, David A., 2010. "Workforce agility for stochastically diffused conditions--A real options perspective," International Journal of Production Economics, Elsevier, vol. 125(2), pages 324-334, June.
    16. Glock, C. H. & Grosse, E. H., 2015. "Decision support models for production ramp-up: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 74024, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Terwiesch, Christian & E. Bohn, Roger, 2001. "Learning and process improvement during production ramp-up," International Journal of Production Economics, Elsevier, vol. 70(1), pages 1-19, March.
    18. George L. Vairaktarakis, 2003. "The Value of Resource Flexibility in the Resource-Constrained Job Assignment Problem," Management Science, INFORMS, vol. 49(6), pages 718-732, June.
    19. Christoph H. Glock & Eric H. Grosse, 2015. "Decision support models for production ramp-up: a systematic literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 53(21), pages 6637-6651, November.
    20. Valeva, Silviya & Hewitt, Mike & Thomas, Barrett W. & Brown, Kenneth G., 2017. "Balancing flexibility and inventory in workforce planning with learning," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 194-207.
    21. Grosse, Eric H. & Glock, Christoph H. & Müller, Sebastian, 2015. "Production economics and the learning curve: A meta-analysis," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 401-412.
    22. Holweg, Matthias & Reichhart, Andreas & Hong, Eui, 2011. "On risk and cost in global sourcing," International Journal of Production Economics, Elsevier, vol. 131(1), pages 333-341, May.
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    More about this item

    Keywords

    Employee Skill Development; Budgeted Training; Workforce Scheduling; Demand Volatility; Learning and Forgetting;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management

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