Application of Feedback Control Method to Workforce Management in a Service Supply Chain

Young M. Lee (), Lianjun An () and Daniel Connors ()
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Young M. Lee: IBM Thomas J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY 10598, USA
Lianjun An: IBM Thomas J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY 10598, USA
Daniel Connors: IBM Thomas J. Watson Research Center, 1101 Kitchawan Road, Yorktown Heights, NY 10598, USA

Service Science, 2009, vol. 1, issue 2, 77-92

Abstract: Success of services businesses depend on how well the workforce is managed. Having the right size of workforce and the right skill set of the workforce at the right time under dynamic demand environments are challenges that many service businesses face. Demand disturbances in services businesses are typically managed by adjusting the resource levels such as acquiring additional resources from larger pool (borrowing resources from the corporate levels for departmental level needs), and releasing resources back to the larger pool for transferring and cross training of the workforce. However, the resource adjustments for changing the level of workforce are not as easy as acquiring or scraping materials as in manufacturing supply chain. Ineffective policies of the resource adjustment can produce undesirable effects such as oscillation between acquisition and release of workforce, and amplified oscillation through the stages of the service processes. In this work, we attempt to apply control theoretic principles in managing resources to see how various feedback control schemes can improve costs, utilization and stability of workforce. Our study indicates that effective combination of multiple feedback control schemes can produce desirable policies of workforce resource management. [ Service Science , ISSN 2164-3962 (print), ISSN 2164-3970 (online), was published by Services Science Global (SSG) from 2009 to 2011 as issues under ISBN 978-1-4276-2090-3.]

Keywords: services supply chain; feedback control; workforce management; demand disturbance (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orserv:v:1:y:2009:i:2:p:77-92

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