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Applications of learning curves in production and operations management: A systematic literature review

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  • Glock, C. H.
  • Grosse, E. H.
  • Jaber, M. Y.
  • Smunt, T. L.

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  • Glock, C. H. & Grosse, E. H. & Jaber, M. Y. & Smunt, T. L., 2019. "Applications of learning curves in production and operations management: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115511, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:115511
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/115511/
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    File URL: https://www.sciencedirect.com/science/article/abs/pii/S0360835218305114
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    Cited by:

    1. Li, Yifu & Zhou, Chenhao & Yuan, Peixue & Ngo, Thi Tu Anh, 2023. "Experience-based territory planning and driver assignment with predicted demand and driver present condition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    2. Wang, Xiong & Ferreira, Fernando A.F. & Chang, Ching-Ter, 2022. "Multi-objective competency-based approach to project scheduling and staff assignment: Case study of an internal audit project," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    3. Natalie Leesakul & Anne-Marie Oostveen & Iveta Eimontaite & Max L. Wilson & Richard Hyde, 2022. "Workplace 4.0: Exploring the Implications of Technology Adoption in Digital Manufacturing on a Sustainable Workforce," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    4. Manda, A.B. & Uzsoy, Reha, 2021. "Managing product transitions with learning and congestion effects," International Journal of Production Economics, Elsevier, vol. 239(C).
    5. Nasr, Walid W. & Jaber, Mohamad Y., 2019. "Supplier development in a two-level lot sizing problem with non-conforming items and learning," International Journal of Production Economics, Elsevier, vol. 216(C), pages 349-363.
    6. Thomassen, Gwenny & Van Passel, Steven & Dewulf, Jo, 2020. "A review on learning effects in prospective technology assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    7. Javad Asadkhani & Hadi Mokhtari & Saman Tahmasebpoor, 2022. "Optimal lot-sizing under learning effect in inspection errors with different types of imperfect quality items," Operational Research, Springer, vol. 22(3), pages 2631-2665, July.
    8. Jaber, M.Y. & Peltokorpi, J. & Glock, C.H. & Grosse, E.H. & Pusic, M., 2021. "Adjustment for cognitive interference enhances the predictability of the power learning curve," International Journal of Production Economics, Elsevier, vol. 234(C).
    9. Dakotah Hogan & John Elshaw & Clay Koschnick & Jonathan Ritschel & Adedeji Badiru & Shawn Valentine, 2020. "Cost Estimating Using a New Learning Curve Theory for Non-Constant Production Rates," Forecasting, MDPI, vol. 2(4), pages 1-23, October.
    10. 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).
    11. Eryk Szwarc & Grzegorz Bocewicz & Paulina Golińska-Dawson & Zbigniew Banaszak, 2023. "Proactive Operations Management: Staff Allocation with Competence Maintenance Constraints," Sustainability, MDPI, vol. 15(3), pages 1-20, January.
    12. Loske, Dominic & Klumpp, Matthias & Grosse, Eric H. & Modica, Tiziana & Glock, Christoph H., 2023. "Storage systems’ impact on order picking time: An empirical economic analysis of flow-rack storage systems," International Journal of Production Economics, Elsevier, vol. 261(C).
    13. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
    14. Heuser, Patricia & Tauer, Björn, 2023. "Single-machine scheduling with product category-based learning and forgetting effects," Omega, Elsevier, vol. 115(C).

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