IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v190y2008i2p509-525.html
   My bibliography  Save this article

Ordering and pricing decisions in a two-echelon supply chain with asymmetric demand information

Author

Listed:
  • Hsieh, Chung-Chi
  • Wu, Cheng-Han
  • Huang, Ya-Jing

Abstract

This article examines coordinated decisions in a decentralized supply chain that consists of one supplier and one retailer, and faces random demand of a single product with a short life cycle. We consider a setting where the retailer has accurate demand information while the supplier does not. Such a problem with asymmetric demand information can be viewed as an extension of the newsboy problem in which both the supplier and the retailer possess the same demand information. Combining the mechanism of sharing demand information and that of quantity discount and return policy enables us to develop three coordinated models in contrast with the basic and uncoordinated model. We are able to show the ordinal relationship among the retailer's optimal order quantities in these four models under a general form of random demand, and compare the supply chain profits and conduct sensitivity analysis analytically in four models under uniform random demand. We also provide numerical results under normal random demand that bear a resemblance to those under uniform random demand.

Suggested Citation

  • Hsieh, Chung-Chi & Wu, Cheng-Han & Huang, Ya-Jing, 2008. "Ordering and pricing decisions in a two-echelon supply chain with asymmetric demand information," European Journal of Operational Research, Elsevier, vol. 190(2), pages 509-525, October.
  • Handle: RePEc:eee:ejores:v:190:y:2008:i:2:p:509-525
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)00572-3
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
    2. Kevin H. Shang & Jing-Sheng Song, 2003. "Newsvendor Bounds and Heuristic for Optimal Policies in Serial Supply Chains," Management Science, INFORMS, vol. 49(5), pages 618-638, May.
    3. Weng, Z. Kevin, 2004. "Coordinating order quantities between the manufacturer and the buyer: A generalized newsvendor model," European Journal of Operational Research, Elsevier, vol. 156(1), pages 148-161, July.
    4. Panagiotis Kouvelis & Genaro J. Gutierrez, 1997. "The Newsvendor Problem in a Global Market: Optimal Centralized and Decentralized Control Policies for a Two-Market Stochastic Inventory System," Management Science, INFORMS, vol. 43(5), pages 571-585, May.
    5. Mahmut Parlar & Z. Kevin Weng, 1997. "Designing a Firm's Coordinated Manufacturing and Supply Decisions with Short Product Life Cycles," Management Science, INFORMS, vol. 43(10), pages 1329-1344, October.
    6. Cho, Richard K. & Gerchak, Yigal, 2005. "Supply chain coordination with downstream operating costs: Coordination and investment to improve downstream operating efficiency," European Journal of Operational Research, Elsevier, vol. 162(3), pages 762-772, May.
    7. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    8. Chen, Haoya & Chen, Jian & Chen, Youhua (Frank), 2006. "A coordination mechanism for a supply chain with demand information updating," International Journal of Production Economics, Elsevier, vol. 103(1), pages 347-361, September.
    9. C-S Shi & C-T Su, 2004. "Integrated inventory model of returns-quantity discounts contract," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 240-246, March.
    10. Özalp Özer & Wei Wei, 2006. "Strategic Commitments for an Optimal Capacity Decision Under Asymmetric Forecast Information," Management Science, INFORMS, vol. 52(8), pages 1238-1257, August.
    11. S. Chan Choi, 1991. "Price Competition in a Channel Structure with a Common Retailer," Marketing Science, INFORMS, vol. 10(4), pages 271-296.
    12. Lau, Amy Hing Ling & Lau, Hon-Shiang & Zhou, Yong-Wu, 2007. "A stochastic and asymmetric-information framework for a dominant-manufacturer supply chain," European Journal of Operational Research, Elsevier, vol. 176(1), pages 295-316, January.
    13. Hing-Ling Lau, Amy & Lau, Hon-Shiang, 2001. "Some two-echelon style-goods inventory models with asymmetric market information," European Journal of Operational Research, Elsevier, vol. 134(1), pages 29-42, October.
    14. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    15. Charles J. Corbett & Xavier de Groote, 2000. "A Supplier's Optimal Quantity Discount Policy Under Asymmetric Information," Management Science, INFORMS, vol. 46(3), pages 444-450, March.
    16. Weng, Z. Kevin & McClurg, Tim, 2003. "Coordinated ordering decisions for short life cycle products with uncertainty in delivery time and demand," European Journal of Operational Research, Elsevier, vol. 151(1), pages 12-24, November.
    17. Srinagesh Gavirneni & Roman Kapuscinski & Sridhar Tayur, 1999. "Value of Information in Capacitated Supply Chains," Management Science, INFORMS, vol. 45(1), pages 16-24, January.
    18. Lau, Amy Hing Ling & Lau, Hon-Shiang, 2005. "Some two-echelon supply-chain games: Improving from deterministic-symmetric-information to stochastic-asymmetric-information models," European Journal of Operational Research, Elsevier, vol. 161(1), pages 203-223, February.
    19. Yue, Xiaohang & Raghunathan, Srinivasan, 2007. "The impacts of the full returns policy on a supply chain with information asymmetry," European Journal of Operational Research, Elsevier, vol. 180(2), pages 630-647, July.
    20. Chu, Wai Hung Julius & Lee, Ching Chyi, 2006. "Strategic information sharing in a supply chain," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1567-1579, November.
    21. Gérard P. Cachon & Martin A. Lariviere, 2005. "Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations," Management Science, INFORMS, vol. 51(1), pages 30-44, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing Zhao & Jie Wei & Xiaochen Sun, 2017. "Coordination of fuzzy closed-loop supply chain with price dependent demand under symmetric and asymmetric information conditions," Annals of Operations Research, Springer, vol. 257(1), pages 469-489, October.
    2. Messinger, Paul R., 2016. "The role of fairness in competitive supply chain relationships: An experimental studyAuthor-Name: Choi, Sungchul," European Journal of Operational Research, Elsevier, vol. 251(3), pages 798-813.
    3. Li, Yina & Xu, Xuejun & Zhao, Xiande & Yeung, Jeff Hoi Yan & Ye, Fei, 2012. "Supply chain coordination with controllable lead time and asymmetric information," European Journal of Operational Research, Elsevier, vol. 217(1), pages 108-119.
    4. Yan, Bo & Wang, Tao & Liu, Yan-ping & Liu, Yang, 2016. "Decision analysis of retailer-dominated dual-channel supply chain considering cost misreporting," International Journal of Production Economics, Elsevier, vol. 178(C), pages 34-41.
    5. Zhang, Baofeng & Wu, Desheng Dash & Liang, Liang, 2018. "Trade credit model with customer balking and asymmetric market information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 31-46.
    6. Lau, Amy Hing Ling & Lau, Hon-Shiang & Wang, Jian-Cai, 2010. "Usefulness of resale price maintenance under different levels of sales-effort cost and system-parameter uncertainties," European Journal of Operational Research, Elsevier, vol. 203(2), pages 513-525, June.
    7. Ata Allah Taleizadeh & Mahsa Noori-daryan & Kannan Govindan, 2016. "Pricing and ordering decisions of two competing supply chains with different composite policies: a Stackelberg game-theoretic approach," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2807-2836, May.

    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. Heese, H. Sebastian & Kemahlıoğlu-Ziya, Eda, 2016. "Don't ask, don't tell: Sharing revenues with a dishonest retailer," European Journal of Operational Research, Elsevier, vol. 248(2), pages 580-592.
    2. İsmail Bakal & Nesim Erkip & Refik Güllü, 2011. "Value of supplier’s capacity information in a two-echelon supply chain," Annals of Operations Research, Springer, vol. 191(1), pages 115-135, November.
    3. Fu, Qi & Zhu, Kaijie, 2010. "Endogenous information acquisition in supply chain management," European Journal of Operational Research, Elsevier, vol. 201(2), pages 454-462, March.
    4. Wang, Jian-Cai & Lau, Hon-Shiang & Lau, Amy Hing Ling, 2009. "When should a manufacturer share truthful manufacturing cost information with a dominant retailer?," European Journal of Operational Research, Elsevier, vol. 197(1), pages 266-286, August.
    5. Mukhopadhyay, Samar K. & Yue, Xiaohang & Zhu, Xiaowei, 2011. "A Stackelberg model of pricing of complementary goods under information asymmetry," International Journal of Production Economics, Elsevier, vol. 134(2), pages 424-433, December.
    6. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.
    7. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    8. Avinadav, Tal & Chernonog, Tatyana & Ben-Zvi, Tal, 2019. "The effect of information superiority on a supply chain of virtual products," International Journal of Production Economics, Elsevier, vol. 216(C), pages 384-397.
    9. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Brand positioning and consumer taste information," ESMT Research Working Papers ESMT-17-01_R1, ESMT European School of Management and Technology, revised 04 Dec 2017.
    10. Chernonog, Tatyana & Avinadav, Tal, 2019. "Pricing and advertising in a supply chain of perishable products under asymmetric information," International Journal of Production Economics, Elsevier, vol. 209(C), pages 249-264.
    11. Nalca, Arcan & Boyaci, Tamer & Ray, Saibal, 2018. "Brand positioning and consumer taste information," European Journal of Operational Research, Elsevier, vol. 268(2), pages 555-568.
    12. Leon Yang Chu & Noam Shamir & Hyoduk Shin, 2017. "Strategic Communication for Capacity Alignment with Pricing in a Supply Chain," Management Science, INFORMS, vol. 63(12), pages 4366-4377, December.
    13. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Consumer taste uncertainty in the context of store brand and national brand competition," ESMT Research Working Papers ESMT-17-01, ESMT European School of Management and Technology.
    14. Yossi Aviv, 2007. "On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers," Management Science, INFORMS, vol. 53(5), pages 777-794, May.
    15. Albert Y. Ha & Shilu Tong, 2008. "Contracting and Information Sharing Under Supply Chain Competition," Management Science, INFORMS, vol. 54(4), pages 701-715, April.
    16. Liu, Hao & Jiang, Wei & Feng, Gengzhong & Chin, Kwai-Sang, 2020. "Information leakage and supply chain contracts," Omega, Elsevier, vol. 90(C).
    17. Yan, Ruiliang, 2010. "Demand forecast information sharing in the competitive online and traditional retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 386-394.
    18. Avinadav, Tal & Levy, Priel, 2022. "Value of information in a mobile app supply chain under hidden or known information superiority," International Journal of Production Economics, Elsevier, vol. 248(C).
    19. Zhang, Jian & Nault, Barrie R., 2023. "Information sharing in an MTO supply chain with upstream adjustments," European Journal of Operational Research, Elsevier, vol. 308(1), pages 97-112.
    20. Terry A. Taylor & Wenqiang Xiao, 2010. "Does a Manufacturer Benefit from Selling to a Better-Forecasting Retailer?," Management Science, INFORMS, vol. 56(9), pages 1584-1598, September.

    More about this item

    Statistics

    Access and download statistics

    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:eee:ejores:v:190:y:2008:i:2:p:509-525. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.