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Service design at diagnostic service centers

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  • Xiaofang Wang
  • Laurens G. Debo
  • Alan Scheller‐Wolf
  • Stephen F. Smith

Abstract

We study a service design problem in diagnostic service centers, call centers that provide medical advice to patients over the phone about what the appropriate course of action is, based on the caller's symptoms. Due to the tension between increased diagnostic accuracy and the increase in waiting times more in‐depth service requires, managers face a difficult decision in determining the optimal service depth to guide the diagnostic process. The specific problem we consider models the situation when the capacity (staffing level) at the center is fixed, and when the callers have both congestion‐ and noncongestion‐related costs relating to their call. We develop a queueing model incorporating these features and find that the optimal service depth can take one of two different structures, depending on factors such as the nurses' skill level and the maximum potential demand. Sensitivity analyses of the two optimal structures show that they are quite different. In some situations, it may (or may not) be optimal for the manager to try to expand the demand at the center, and increasing skill level may (or may not) increase congestion. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012

Suggested Citation

  • Xiaofang Wang & Laurens G. Debo & Alan Scheller‐Wolf & Stephen F. Smith, 2012. "Service design at diagnostic service centers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(8), pages 613-628, December.
  • Handle: RePEc:wly:navres:v:59:y:2012:i:8:p:613-628
    DOI: 10.1002/nav.21510
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    References listed on IDEAS

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    1. Itay Gurvich & Mor Armony & Constantinos Maglaras, 2009. "Cross-Selling in a Call Center with a Heterogeneous Customer Population," Operations Research, INFORMS, vol. 57(2), pages 299-313, April.
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    4. Catherine W. M. Yeung & Dilip Soman, 2007. "The Duration Heuristic," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 315-326, July.
    5. Xiaofang Wang & Laurens G. Debo & Alan Scheller-Wolf & Stephen F. Smith, 2010. "Design and Analysis of Diagnostic Service Centers," Management Science, INFORMS, vol. 56(11), pages 1873-1890, November.
    6. Mor Armony & Erica Plambeck & Sridhar Seshadri, 2009. "Sensitivity of Optimal Capacity to Customer Impatience in an Unobservable M/M/S Queue (Why You Shouldn't Shout at the DMV)," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 19-32, June.
    7. Laurens G. Debo & L. Beril Toktay & Luk N. Van Wassenhove, 2008. "Queuing for Expert Services," Management Science, INFORMS, vol. 54(8), pages 1497-1512, August.
    8. Ryan W. Buell & Michael I. Norton, 2011. "The Labor Illusion: How Operational Transparency Increases Perceived Value," Management Science, INFORMS, vol. 57(9), pages 1564-1579, February.
    9. Krishnan S. Anand & M. Faz{i}l Paç & Senthil Veeraraghavan, 2011. "Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services," Management Science, INFORMS, vol. 57(1), pages 40-56, January.
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    Cited by:

    1. Ying Xu & Alan Scheller-Wolf & Katia Sycara, 2015. "The Benefit of Introducing Variability in Single-Server Queues with Application to Quality-Based Service Domains," Operations Research, INFORMS, vol. 63(1), pages 233-246, February.

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