IDEAS home Printed from https://ideas.repec.org/a/spr/aqjoor/v21y2023i3d10.1007_s10288-022-00520-6.html
   My bibliography  Save this article

A bilevel optimization model for the newsvendor problem with the focus theory of choice

Author

Listed:
  • Xide Zhu

    (Shanghai University)

  • Kevin W. Li

    (University of Windsor)

  • Peijun Guo

    (Yokohama National University)

Abstract

The newsvendor problem is formulated with the focus theory of choice in which instead of using the expected utility in the existing approaches, the optimal order quantity is determined as per which order quantity’s focus (the most salient demand) is the most preferred. This new formulation is a bilevel optimization problem in which the lower level chooses the focus of each order quantity and the upper level determines the optimal order quantity. The proposed model has maximin upper and lower level programs that are nonsmooth. We derive the optimal order quantity under this new framework and characterize the properties of the optimal solution. The proposed model provides a new perspective to analyze the newsvendor problems.

Suggested Citation

  • Xide Zhu & Kevin W. Li & Peijun Guo, 2023. "A bilevel optimization model for the newsvendor problem with the focus theory of choice," 4OR, Springer, vol. 21(3), pages 471-489, September.
  • Handle: RePEc:spr:aqjoor:v:21:y:2023:i:3:d:10.1007_s10288-022-00520-6
    DOI: 10.1007/s10288-022-00520-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10288-022-00520-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10288-022-00520-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ran Ji & Bardia Kamrad, 2019. "Newsvendor Model as an Exchange Option on Demand and Supply Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 28(10), pages 2456-2470, October.
    2. Mitra, Subrata, 2018. "Newsvendor problem with clearance pricing," European Journal of Operational Research, Elsevier, vol. 268(1), pages 193-202.
    3. Guo, Peijun, 2019. "Focus theory of choice and its application to resolving the St. Petersburg, Allais, and Ellsberg paradoxes and other anomalies," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1034-1043.
    4. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    5. Nicholas C. Petruzzi & Maqbool Dada, 1999. "Pricing and the Newsvendor Problem: A Review with Extensions," Operations Research, INFORMS, vol. 47(2), pages 183-194, April.
    6. Huber, Jakob & Müller, Sebastian & Fleischmann, Moritz & Stuckenschmidt, Heiner, 2019. "A data-driven newsvendor problem: From data to decision," European Journal of Operational Research, Elsevier, vol. 278(3), pages 904-915.
    7. Peijun Guo, 2010. "One-shot decision approach and its application to duopoly market," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 2(3), pages 213-232.
    8. Wang, Chao & Guo, Peijun, 2017. "Behavioral models for first-price sealed-bid auctions with the one-shot decision theory," European Journal of Operational Research, Elsevier, vol. 261(3), pages 994-1000.
    9. Guo, Peijun & Ma, Xiuyan, 2014. "Newsvendor models for innovative products with one-shot decision theory," European Journal of Operational Research, Elsevier, vol. 239(2), pages 523-536.
    10. Nicola Lacetera & Devin G. Pope & Justin R. Sydnor, 2012. "Heuristic Thinking and Limited Attention in the Car Market," American Economic Review, American Economic Association, vol. 102(5), pages 2206-2236, August.
    11. Xide Zhu & Peijun Guo, 2020. "Bilevel programming approaches to production planning for multiple products with short life cycles," 4OR, Springer, vol. 18(2), pages 151-175, June.
    12. Xide Zhu & Peijun Guo, 2017. "Approaches to four types of bilevel programming problems with nonconvex nonsmooth lower level programs and their applications to newsvendor problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(2), pages 255-275, October.
    13. Guo, Peijun & Li, Yonggang, 2014. "Approaches to multistage one-shot decision making," European Journal of Operational Research, Elsevier, vol. 236(2), pages 612-623.
    14. J. Solnick, Sara & Hemenway, David, 1998. "Is more always better?: A survey on positional concerns," Journal of Economic Behavior & Organization, Elsevier, vol. 37(3), pages 373-383, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiuyan Ma, 2019. "Pricing to the Scenario: Price-Setting Newsvendor Models for Innovative Products," Mathematics, MDPI, vol. 7(9), pages 1-15, September.
    2. Guo, Peijun, 2019. "Focus theory of choice and its application to resolving the St. Petersburg, Allais, and Ellsberg paradoxes and other anomalies," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1034-1043.
    3. Guo, Peijun, 2022. "Dynamic focus programming: A new approach to sequential decision problems under uncertainty," European Journal of Operational Research, Elsevier, vol. 303(1), pages 328-336.
    4. Xide Zhu & Peijun Guo, 2020. "Bilevel programming approaches to production planning for multiple products with short life cycles," 4OR, Springer, vol. 18(2), pages 151-175, June.
    5. Xide Zhu & Zhiheng Hu & Guihua Lin & Weina Xu, 2023. "Strategy Analysis for Retailer-Leading Supply Chain under Buyback Contract with Focus Theory of Choice," Mathematics, MDPI, vol. 11(3), pages 1-25, January.
    6. Guo, Peijun & Ma, Xiuyan, 2014. "Newsvendor models for innovative products with one-shot decision theory," European Journal of Operational Research, Elsevier, vol. 239(2), pages 523-536.
    7. Andrew J. Keith & Darryl K. Ahner, 2021. "A survey of decision making and optimization under uncertainty," Annals of Operations Research, Springer, vol. 300(2), pages 319-353, May.
    8. Xide Zhu & Peijun Guo, 2017. "Approaches to four types of bilevel programming problems with nonconvex nonsmooth lower level programs and their applications to newsvendor problems," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 86(2), pages 255-275, October.
    9. Ma, Shouyu & Jemai, Zied & Bai, Qingguo, 2022. "Optimal pricing and ordering decisions for a retailer using multiple discounts," European Journal of Operational Research, Elsevier, vol. 299(3), pages 1177-1192.
    10. Liu, Congzheng & Letchford, Adam N. & Svetunkov, Ivan, 2022. "Newsvendor problems: An integrated method for estimation and optimisation," European Journal of Operational Research, Elsevier, vol. 300(2), pages 590-601.
    11. Sharan Jagpal & Feihong Xia, 2019. "Coordinating Marketing and Production with Asymmetric Costs: Theory and Estimation," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 6(1), pages 1-12, June.
    12. Chernonog, Tatyana & Avinadav, Tal, 2014. "Profit criteria involving risk in price setting of virtual products," European Journal of Operational Research, Elsevier, vol. 236(1), pages 351-360.
    13. Sillanpää, Ville & Liesiö, Juuso & Käki, Anssi, 2021. "Procurement decisions over multiple periods under piecewise-linear shortage costs and fixed capacity commitments," Omega, Elsevier, vol. 100(C).
    14. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
    15. Jochen Schlapp & Moritz Fleischmann & Danja Sonntag, 2022. "Inventory timing: How to serve a stochastic season," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2891-2906, July.
    16. Salvatore Corrente & Salvatore Greco & Benedetto Matarazzo & Roman Słowiński, 2016. "Robust ordinal regression for decision under risk and uncertainty," Journal of Business Economics, Springer, vol. 86(1), pages 55-83, January.
    17. Rubio-Herrero, Javier & Baykal-Gürsoy, Melike, 2020. "Mean-variance analysis of the newsvendor problem with price-dependent, isoelastic demand," European Journal of Operational Research, Elsevier, vol. 283(3), pages 942-953.
    18. Jammernegg, Werner & Kischka, Peter, 2013. "The price-setting newsvendor with service and loss constraints," Omega, Elsevier, vol. 41(2), pages 326-335.
    19. Chen, Junlin & Feng, Xiaojing & Kou, Gang & Mu, Mengting, 2023. "Multiproduct newsvendor with cross-selling and narrow-bracketing behavior using data mining methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    20. Wang, Chao & Guo, Peijun, 2017. "Behavioral models for first-price sealed-bid auctions with the one-shot decision theory," European Journal of Operational Research, Elsevier, vol. 261(3), pages 994-1000.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:aqjoor:v:21:y:2023:i:3:d:10.1007_s10288-022-00520-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.