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A data-driven approach to manpower planning at U.S.–Canada border crossings

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  • Yu, Mengqiao
  • Ding, Yichuan
  • Lindsey, Robin
  • Shi, Cong

Abstract

We investigate the staffing problem at Peace Arch, one of the major U.S.–Canada border crossings, with the goal of reducing time delay without compromising the effectiveness of security screening. Our data analytics show how the arrival rates of vehicles vary by time of day and day of week, and that the service rate per booth varies considerably by the time of day and the number of active booths. We propose a time-varying queueing model to capture these dynamics and use empirical data to estimate the model parameters using a multiple linear regression. We then formulate the staffing task as an integer programming problem and derive a near-optimal workforce schedule. Simulations reveal that our proposed workforce policy improves on the existing schedule by about 18% in terms of average delay without increasing the total work hours of the border staff.

Suggested Citation

  • Yu, Mengqiao & Ding, Yichuan & Lindsey, Robin & Shi, Cong, 2016. "A data-driven approach to manpower planning at U.S.–Canada border crossings," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 34-47.
    • Handle: RePEc:eee:transa:v:91:y:2016:i:c:p:34-47
    DOI: 10.1016/j.tra.2016.06.006
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    References listed on IDEAS

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    1. Tom Fangyun Tan & Serguei Netessine, 2014. "When Does the Devil Make Work? An Empirical Study of the Impact of Workload on Worker Productivity," Management Science, INFORMS, vol. 60(6), pages 1574-1593, June.
    2. Noah Gans & Ger Koole & Avishai Mandelbaum, 2003. "Telephone Call Centers: Tutorial, Review, and Research Prospects," Manufacturing & Service Operations Management, INFORMS, vol. 5(2), pages 79-141, September.
    3. Zhe George Zhang, 2009. "Performance Analysis of a Queue with Congestion-Based Staffing Policy," Management Science, INFORMS, vol. 55(2), pages 240-251, February.
    4. Kim, Seongmoon, 2009. "The toll plaza optimization problem: Design, operations, and strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 125-137, January.
    5. Zhe George Zhang & Hsing Paul Luh & Chia-Hung Wang, 2011. "Modeling Security-Check Queues," Management Science, INFORMS, vol. 57(11), pages 1979-1995, November.
    6. Lin, Lei & Wang, Qian & Sadek, Adel W., 2014. "Border crossing delay prediction using transient multi-server queueing models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 65-91.
    7. Takeshi Nagae & Takashi Akamatsu, 2006. "Dynamic Revenue Management of a Toll Road Project under Transportation Demand Uncertainty," Networks and Spatial Economics, Springer, vol. 6(3), pages 345-357, September.
    8. Pengfei Guo & Zhe George Zhang, 2013. "Strategic Queueing Behavior and Its Impact on System Performance in Service Systems with the Congestion-Based Staffing Policy," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 118-131, September.
    9. Trien T. Nguyen & Randall M. Wigle, 2011. "Border Delays Re-Emerging Priority: Within-Country Dimensions for Canada," Canadian Public Policy, University of Toronto Press, vol. 37(1), pages 49-59, March.
    10. Boronico, Jess S. & Siegel, Philip H., 1998. "Capacity planning for toll roadways incorporating consumer wait time costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(4), pages 297-310, May.
    Full references (including those not matched with items on IDEAS)

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