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On learning process of a newsvendor with censored demand information

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Listed:
  • Yingshuai Zhao

    (University of Cologne)

  • Xiaobo Zhao

    (Tsinghua University)

  • Zuo-Jun Max Shen

    (University of California)

Abstract

A behavioural study on the newsvendor problem without demand distribution knowledge or realized demands is conducted. We configure a censored-information scenario, where only sales data in history are provided. With laboratory experiments, we analyse participants ordering levels and ordering oscillations over time. It is observed that participants perform a significant learning process in the censored-information scenario. Moreover, we find that participants make orders by anchoring on the previous-period sales and adjusting to an adapted inventory level. On the basis of the observations, we propose an exponential-type learning (EXP) model to describe the behaviour of decision makers. Comparing with a chasing model that is popularly used in the full-information scenario, the EXP model is more recommended in the censored-information scenario.

Suggested Citation

  • Yingshuai Zhao & Xiaobo Zhao & Zuo-Jun Max Shen, 2016. "On learning process of a newsvendor with censored demand information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(9), pages 1200-1211, September.
  • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:9:d:10.1057_jors.2016.18
    DOI: 10.1057/jors.2016.18
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    References listed on IDEAS

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    1. AJ A. Bostian & Charles A. Holt & Angela M. Smith, 2008. "Newsvendor "Pull-to-Center" Effect: Adaptive Learning in a Laboratory Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 590-608, July.
    2. Omar Besbes & Alp Muharremoglu, 2013. "On Implications of Demand Censoring in the Newsvendor Problem," Management Science, INFORMS, vol. 59(6), pages 1407-1424, June.
    3. Martin A. Lariviere & Evan L. Porteus, 1999. "Stalking Information: Bayesian Inventory Management with Unobserved Lost Sales," Management Science, INFORMS, vol. 45(3), pages 346-363, March.
    4. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    5. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    6. Daniel C. Feiler & Jordan D. Tong & Richard P. Larrick, 2013. "Biased Judgment in Censored Environments," Management Science, INFORMS, vol. 59(3), pages 573-591, January.
    7. Nils Rudi & David Drake, 2014. "Observation Bias: The Impact of Demand Censoring on Newsvendor Level and Adjustment Behavior," Management Science, INFORMS, vol. 60(5), pages 1334-1345, May.
    8. Katy S. Azoury, 1985. "Bayes Solution to Dynamic Inventory Models Under Unknown Demand Distribution," Management Science, INFORMS, vol. 31(9), pages 1150-1160, September.
    9. Srinagesh Gavirneni & Yusen Xia, 2009. "Anchor Selection and Group Dynamics in Newsvendor Decisions---A Note," Decision Analysis, INFORMS, vol. 6(2), pages 87-97, June.
    10. U Benzion & Y Cohen & R Peled & T Shavit, 2008. "Decision-making and the newsvendor problem: an experimental study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1281-1287, September.
    11. Gary E. Bolton & Elena Katok, 2008. "Learning by Doing in the Newsvendor Problem: A Laboratory Investigation of the Role of Experience and Feedback," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 519-538, September.
    12. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    13. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    14. Gregory A. Godfrey & Warren B. Powell, 2001. "An Adaptive, Distribution-Free Algorithm for the Newsvendor Problem with Censored Demands, with Applications to Inventory and Distribution," Management Science, INFORMS, vol. 47(8), pages 1101-1112, August.
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    1. Kosgoda, Dilina & Perera, H. Niles & Aloysius, John, 2024. "Effective goal framing for managers using inventory management systems," European Journal of Operational Research, Elsevier, vol. 316(1), pages 138-151.

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