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Dynamic load balancing with flexible workers

Part of: Operations research and management science Special processes

Published online by Cambridge University Press:  01 July 2016

Hyun-Soo Ahn  and
Rhonda Righter
Hyun-Soo Ahn*
Affiliation:
University of Michigan
Rhonda Righter*
Affiliation:
University of California, Berkeley
*
∗ Postal address: Department of Operations and Management Science, Ross School of Business, University of Michigan, 701 Tappan Street, Ann Arbor, MI 48109-1234, USA, Email address: hsahn@umich.edu
∗∗ Postal address: Department of Industrial Engineering and Operations Research, University of California, Berkeley, CA 94720, USA. Email address: rrighter@ieor.berkeley.edu
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Abstract

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We study the problem of dynamically allocating flexible workers to stations in tandem or serial manufacturing systems. Workers are trained to do a subset of consecutive tasks. We show that the optimal policy is often LBFS (last buffer first-served) or FBFS (first buffer first-served). These results generalize earlier results on the optimality of the pick-and-run, expedite, and bucket brigade-type policies. We also show that, for exponential processing times and general manufacturing networks, the optimal policy will tend to have several workers assigned to the same station.

Keywords

Stochastic schedulingtandem systemsmultiserver queueflexible workerload balancing

MSC classification

Primary: 90B36: Scheduling theory, stochastic
Secondary: 90B22: Queues and service 60K25: Queueing theory
Type
General Applied Probability
Information
Advances in Applied Probability , Volume 38 , Issue 3 , September 2006 , pp. 621 - 642
Copyright
Copyright © Applied Probability Trust 2006 

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