Human resource planning in knowledge-intensive operations: a model for learning with stochastic turnover.

DOI10.1016/S0377-2217(00)00049-7zbMath1068.90576OpenAlexW2050768357MaRDI QIDQ5932033

Sanjeev K. Bordoloi, Hirofumi Matsuo

Publication date: 2001

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(00)00049-7

zbMATH Keywords

Dynamic programmingControlManpower planningManufacturing

Mathematics Subject Classification ID

Production models (90B30) Dynamic programming (90C39) Marketing, advertising (90B60)

Related Items (6)

Calibrating cross-training to meet demand mix variation and employee absence ⋮ A model for efficiency-based resource integration in services ⋮ The informational value of employee online reviews ⋮ Incentives and individual motivation in supervised work groups ⋮ SimMan -- A simulation model for workforce capacity planning ⋮ Staffing decisions for heterogeneous workers with turnover

Cites Work

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• Control policy for a manufacturing system with random yield and rework
• Chance-Constrained Programming
• A Distributed Parameter Cohort Personnel Planning Model That Uses Cross-Sectional Data
• Linear Control of a Markov Production System
• Manpower Planning with Uncertain Requirements
• Investment in Knowledge: A Generalization of Learning By Experience
• Planning Information Technology–Knowledge Worker Systems
• Static and Dynamic Assignment Models with Multiple Objectives, and Some Remarks on Organization Design

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