IDEAS home Printed from https://ideas.repec.org/r/dar/wpaper/107692.html

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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).
  2. Manda, A.B. & Uzsoy, Reha, 2021. "Managing product transitions with learning and congestion effects," International Journal of Production Economics, Elsevier, vol. 239(C).
  3. 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.
  4. Alessandro Hill & Thomas W. M. Vossen, 2025. "Efficient Project Scheduling with Autonomous Learning Opportunities," INFORMS Journal on Computing, INFORMS, vol. 37(3), pages 761-783, May.
  5. 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).
  6. Apetrei, Cristina I. & Strelkovskii, Nikita & Khabarov, Nikolay & Javalera Rincón, Valeria, 2024. "Improving the representation of smallholder farmers’ adaptive behaviour in agent-based models: Learning-by-doing and social learning," Ecological Modelling, Elsevier, vol. 489(C).
  7. 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.
  8. Fan, Xiaomin & Xu, Yingzhi, 2024. "How does the opening of high-speed railway affect the regional pollution gap in China? From the perspective of knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  9. 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.
  10. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.
  11. Heuser, Patricia & Tauer, Björn, 2023. "Single-machine scheduling with product category-based learning and forgetting effects," Omega, Elsevier, vol. 115(C).
  12. Liu, Hui & Su, Bingbing & Guo, Min & Wang, Jingbei, 2024. "Exploring R&D network resilience under risk propagation: An organizational learning perspective," International Journal of Production Economics, Elsevier, vol. 273(C).
  13. 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.
  14. Milad Elyasi & Simon Thevenin & Audrey Cerqueus, 2025. "Use of AI in assembly line design and worker and equipment management: review and future directions," Flexible Services and Manufacturing Journal, Springer, vol. 37(2), pages 367-408, June.
  15. Zhang, Yaoxin & Li, Dongni & Jin, Yuqing & Lan, Zihan, 2026. "Designing and organizing a high-performance divisional seru considering learning and forgetting effect under stochastic processing requirements," European Journal of Operational Research, Elsevier, vol. 329(1), pages 138-154.
  16. Shaoni Wang & Yanzhong Dang & Wander Jager & Kees Zoethout, 2025. "Autonomy or control? An agent-based study of self-organising versus centralised task allocation," Journal of Computational Social Science, Springer, vol. 8(2), pages 1-28, May.
  17. 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).
  18. 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.
  19. 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).
  20. Tomas Pečiulis & Nisar Ahmad & Angeliki N. Menegaki & Aqsa Bibi, 2024. "Forecasting of cryptocurrencies: Mapping trends, influential sources, and research themes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 1880-1901, September.
  21. 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).
  22. 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).
  23. Frederik Ferid Ostermeier & Jochen Deuse, 2024. "Modelling forgetting due to intermittent production in mixed-model line scheduling," Flexible Services and Manufacturing Journal, Springer, vol. 36(2), pages 503-532, June.
  24. Asghari, M. & Afshari, H. & Jaber, M.Y. & Searcy, C., 2024. "Learning and forgetting interactions within a collaborative human-centric manufacturing network," European Journal of Operational Research, Elsevier, vol. 313(3), pages 977-991.
  25. 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).
  26. Ranasinghe, Thilini & Senanayake, Chanaka D. & Grosse, Eric H., 2024. "Effects of stochastic and heterogeneous worker learning on the performance of a two-workstation production system," International Journal of Production Economics, Elsevier, vol. 267(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.