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Mode Locking and Chaos in a Deterministic Queueing Model with Feedback

Author

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  • Christian Haxholdt

    (Department of Statistics, Copenhagen Business School, Solbjerg Plads 3, DK-2000, Frederiksberg, Denmark)

  • Erik R. Larsen

    (Cass Business School, City University, 106 Bunhill Row, London EC1Y 8TZ, United Kingdom)

  • Ann van Ackere

    (HEC, Université de Lausanne, BFSH1, 1015 Dorigny-Lausanne, Switzerland)

Abstract

We consider a simple, deterministic queueing system with feedback, which exhibits the phenomena of sustained oscillation, mode locking, quasi-periodic behaviour, and chaos. This implies that a fully deterministic queueing system can exhibit seemingly unpredictable behaviour. We ignore variability, and focus on two forms of feedback: (i) the service rate increases as queue length increases, and (ii) the arrival rate depends on customers' perception of past waiting times. We model a customer's decision to seek service as a two stage process: (i) deciding whether or not to use a facility, and (ii) deciding the frequency of visit (daily, weekly, monthly, etc.). This frequency is initially constant, and later on replaced by a deterministic, time-dependent pattern. Although highly stylised, this model captures the essential features of many real-life systems whose average arrival rate varies over time. Reducing the amplitude of cycles in demand makes the system more predictable and thus easier to manage. Although we represent this model as a queue of customers waiting for service, the model can be interpreted more generally as any situation where an increase in demand lowers the quality of service.

Suggested Citation

  • Christian Haxholdt & Erik R. Larsen & Ann van Ackere, 2003. "Mode Locking and Chaos in a Deterministic Queueing Model with Feedback," Management Science, INFORMS, vol. 49(6), pages 816-830, June.
    • Handle: RePEc:inm:ormnsc:v:49:y:2003:i:6:p:816-830
    DOI: 10.1287/mnsc.49.6.816.16028
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    References listed on IDEAS

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    Cited by:

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    2. Yuan, Xuchuan & Brian Hwarng, H., 2023. "Examining the dynamics of reactive capacity allocation through a chaos lens," European Journal of Operational Research, Elsevier, vol. 308(2), pages 912-928.
    3. van Ackere, Ann & Haxholdt, Christian & Larsen, Erik R., 2013. "Dynamic capacity adjustments with reactive customers," Omega, Elsevier, vol. 41(4), pages 689-705.
    4. Macarena Lozano & Pilar Moreno, 2008. "A discrete time single-server queue with balking: economic applications," Applied Economics, Taylor & Francis Journals, vol. 40(6), pages 735-748.
    5. Marisa Faggini & Bruna Bruno & Anna Parziale, 2022. "Toward Reverse Engineering to Economic Analysis: An Overview of Tools and Methodology," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1414-1432, June.

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