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International Journal of Production Research Volume 46, 2008 - Issue 14
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Original Articles

The effects of workforce heterogeneity on productivity in an experiential learning environment

David A. Nembhard Harold and Inge Marcus Department of Industrial and Manufacturing Engineering, Pennsylvania State University, University Park, PA 16802, USACorrespondence[email protected]
&
Scott M. Shafer Wake Forest University, Winston-Salem, NC, USA
Pages 3909-3929 | Received 01 Jan 2006, Published online: 12 Jun 2008

Citations (14)

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Read on this site (4)

David Müller & Dominik Kress. (2022) Filter-and-fan approaches for scheduling flexible job shops under workforce constraints. International Journal of Production Research 60:15, pages 4743-4765.
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Niloofar Katiraee, Martina Calzavara, Serena Finco, Daria Battini & Olga Battaïa. (2021) Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research. International Journal of Production Research 59:11, pages 3237-3268.
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Konstantin Biel & Christoph H. Glock. (2018) Governing the dynamics of multi-stage production systems subject to learning and forgetting effects: A simulation study. International Journal of Production Research 56:10, pages 3439-3461.
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David A. Nembhard & Frank Bentefouet. (2014) Selection policies for a multifunctional workforce. International Journal of Production Research 52:16, pages 4785-4802.
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Articles from other publishers (10)

Jonas Ast & Peter Nyhuis. (2023) A theoretical approach for considering practice effects when determining deployment schedules. Manufacturing Letters 36, pages 26-29.
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Yaileen M. Mendez-Vazquez, David A. Nembhard & Mauricio Cabrera-Rios. (2020) Simulation-Aided Assessment of Team Performance: The Effects of Transient Underachievement and Knowledge Transfer. Simulation-Aided Assessment of Team Performance: The Effects of Transient Underachievement and Knowledge Transfer.
Yaileen M. Méndez-Vázquez & David A. Nembhard. (2019) Worker-cell assignment: The impact of organizational factors on performance in cellular manufacturing systems. Computers & Industrial Engineering 127, pages 1101-1114.
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CHRISTIAN W. SCHEINER, CHRISTIAN V. BACCARELLA, NINA FELLER, KAI-INGO VOIGT & JOHN BESSANT. (2016) ORGANISATIONAL AND INDIVIDUAL UNLEARNING IN IDENTIFICATION AND EVALUATION OF TECHNOLOGIES. International Journal of Innovation Management 20:02, pages 1650017.
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Sungsu Kim. (2015) The Effect of Worker Heterogeneity in Learning and Forgetting on System Productivity. Journal of the Korean Operations Research and Management Science Society 40:4, pages 145-156.
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Sheng Xu & Lieyun Ding. (2015) Simulation of the effects of different skill learning pathways in heterogeneous construction crews. Journal of Industrial & Management Optimization 11:2, pages 381-397.
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David A. Nembhard & Frank Bentefouet. (2015) Selection, grouping, and assignment policies with learning-by-doing and knowledge transfer. Computers & Industrial Engineering 79, pages 175-187.
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Frank Bentefouet & David A. Nembhard. (2013) Optimal flow-line conditions with worker variability. International Journal of Production Economics 141:2, pages 675-684.
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David A. Nembhard & Frank Bentefouet. (2012) Parallel system scheduling with general worker learning and forgetting. International Journal of Production Economics 139:2, pages 533-542.
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Sungsu Kim & David A. Nembhard. (2010) Cross-Trained Staffing Levels With Heterogeneous Learning/Forgetting. IEEE Transactions on Engineering Management 57:4, pages 560-574.
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