An approximate dynamic programming method for the multi-period technician scheduling problem with experience-based service times and stochastic customers

Xi Chen; Mike Hewitt; Barrett W. Thomas

doi:10.1016/j.ijpe.2017.10.028

An approximate dynamic programming method for the multi-period technician scheduling problem with experience-based service times and stochastic customers

Xi Chen, Mike Hewitt, Barrett W. Thomas

Quinlan School of Business

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	International Journal of Production Economics
Volume	196
DOIs	https://doi.org/10.1016/j.ijpe.2017.10.028
State	Published - Feb 1 2018

Disciplines

Computer Sciences
Operations and Supply Chain Management

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10.1016/j.ijpe.2017.10.028License: Unspecified

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title = "An approximate dynamic programming method for the multi-period technician scheduling problem with experience-based service times and stochastic customers",

author = "Xi Chen and Mike Hewitt and Thomas, {Barrett W.}",

note = "Downloadable (with restrictions)! In this paper, we study how an organization can recognize that individuals learn when assigning employees to tasks. By doing so, an organization can meet current demands and position the capabilities of their workforce for the yet unknown demands in future days.",

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AU - Hewitt, Mike

AU - Thomas, Barrett W.

N1 - Downloadable (with restrictions)! In this paper, we study how an organization can recognize that individuals learn when assigning employees to tasks. By doing so, an organization can meet current demands and position the capabilities of their workforce for the yet unknown demands in future days.

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M3 - Article

VL - 196

JO - International Journal of Production Economics

JF - International Journal of Production Economics

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An approximate dynamic programming method for the multi-period technician scheduling problem with experience-based service times and stochastic customers

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