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International Journal of Production Research Volume 55, 2017 - Issue 24
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Original Articles

A matheuristic for workforce planning with employee learning and stochastic demand

Silviya ValevaApplied Mathematical and Computational Sciences, University of Iowa, Iowa City, IA, USA.Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-2178-2860View further author information
ORCID Icon,
Mike HewittInformation Systems and Operations Management, Quinlan School of Business, Loyola University Chicago, Chicago, IL, USA.View further author information
&
Barrett W. ThomasDepartment of Management Sciences, Tippie College of Business, Iowa City, IA, USA.ORCID Iconhttp://orcid.org/0000-0002-6080-6191View further author information
ORCID Icon
Pages 7380-7397 | Received 31 Oct 2016, Accepted 23 Jun 2017, Published online: 14 Jul 2017

Citations (11)

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Read on this site (1)

Silviya Valeva, Mike Hewitt & Barrett W. Thomas. (2021) Managing uncertainty in demand through inventory and workforce development. International Journal of Production Research 59:21, pages 6507-6527.
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Articles from other publishers (10)

Rosemonde Ausseil, Marlin W. Ulmer & Jennifer A. Pazour. (2024) Online acceptance probability approximation in peer-to-peer transportation. Omega 123, pages 102993.
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Yifu Li, Chenhao Zhou, Peixue Yuan & Thi Tu Anh Ngo. (2023) Experience-based territory planning and driver assignment with predicted demand and driver present condition. Transportation Research Part E: Logistics and Transportation Review 171, pages 103036.
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Carlos Miguel, Steven Hoedt, Pieter Leyman, El-Houssaine Aghezzaf & Johannes Cottyn. 2023. Production Processes and Product Evolution in the Age of Disruption. Production Processes and Product Evolution in the Age of Disruption 552 561 .
Patrick Jaillet, Gar Goei Loke & Melvyn Sim. (2022) Strategic Workforce Planning Under Uncertainty. Operations Research 70:2, pages 1042-1065.
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Karam M. Sallam, Hasan Huseyin Turan, Ripon K. Chakrabortty, Sondoss Elsawah & Michael J. Ryan. (2020) A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach. A Differential Evolution Algorithm for Military Workforce Planning Problems: A Simulation-Optimization Approach.
Marlin Ulmer, Maciek Nowak, Dirk Mattfeld & Bogumił Kaminski. (2020) Binary driver-customer familiarity in service routing. European Journal of Operational Research 286:2, pages 477-493.
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Douglas S. Altner, Erica K. Mason & Les D. Servi. (2018) Two-stage stochastic days-off scheduling of multi-skilled analysts with training options. Journal of Combinatorial Optimization 38:1, pages 111-129.
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Jesus O. Cunha, Hugo H. Kramer & Rafael A. Melo. (2019) Effective matheuristics for the multi-item capacitated lot-sizing problem with remanufacturing. Computers & Operations Research 104, pages 149-158.
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Silviya Valeva, Mike Hewitt, Barrett W. Thomas & Kenneth G. Brown. (2017) Balancing flexibility and inventory in workforce planning with learning. International Journal of Production Economics 183, pages 194-207.
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Patrick Jaillet, Gar Goei Loke & Melvyn Sim. (2018) Risk-Based Manpower Planning: A Tractable Multi-Period Model. SSRN Electronic Journal.
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