IDEAS home Printed from https://ideas.repec.org/a/inm/ormsom/v14y2012i1p82-98.html
   My bibliography  Save this article

The Value of Collaborative Forecasting in Supply Chains

Author

Listed:
  • Mümin Kurtuluş

    (Owen Graduate School of Management, Vanderbilt University, Nashville, Tennessee 37203)

  • Sezer Ülkü

    (McDonough School of Business, Georgetown University, Washington, DC 20057)

  • Beril L. Toktay

    (College of Management, Georgia Institute of Technology, Atlanta, Georgia 30308)

Abstract

Motivated by the mixed evidence concerning the adoption level and value of collaborative forecasting (CF) implementations in retail supply chains, in this paper, we explore the conditions under which CF offers the highest potential. We consider a two-stage supply chain with a single supplier selling its product to consumers through a single retailer. We assume that both the supplier and the retailer can improve the quality of their demand forecasts by making costly forecasting investments to gather and analyze information. First, we consider a noncollaborative model where the supplier and the retailer can invest in forecasting but do not share forecast information. Next, we examine a collaborative forecasting model where the supplier and the retailer combine their information to form a single shared demand forecast. We investigate the value of CF by comparing each party's profits in these scenarios under three contractual forms that are widely used in practice (two variations of the simple wholesale price contract as well as the buyback contract). We show that for a given set of parameters, CF may be Pareto improving for none to all three of the contractual structures, and that the Pareto regions under all three contractual structures can be expressed with a unifying expression that admits an intuitive interpretation. We observe that these regions are limited and explain how they are shaped by the contractual structure, power balance, and relative forecasting capability of the parties. To determine the specific value of collaborative forecasting as a function of different factors, we carry out a numerical analysis and observe the following. First, under noncoordinating contracts, improved information as a result of CF has the added benefit of countering the adverse effects of double marginalization in addition to reducing the cost of supply-demand mismatch. Second, one may expect the value of CF to increase with bargaining power, however this does not hold in general: The value of CF for the newsvendor first increases and then decreases in his bargaining power. Finally, whereas one may expect CF to be more valuable under coordinating contracts, rather than a simple wholesale price contract that is prone to double marginalization, the magnitude of the gain from CF is in many cases higher in the absence of quantity coordination.

Suggested Citation

  • Mümin Kurtuluş & Sezer Ülkü & Beril L. Toktay, 2012. "The Value of Collaborative Forecasting in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 82-98, January.
  • Handle: RePEc:inm:ormsom:v:14:y:2012:i:1:p:82-98
    DOI: 10.1287/msom.1110.0351
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/msom.1110.0351
    Download Restriction: no

    File URL: https://libkey.io/10.1287/msom.1110.0351?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
    ---><---

    References listed on IDEAS

    as
    1. Yossi Aviv, 2002. "Gaining Benefits from Joint Forecasting and Replenishment Processes: The Case of Auto-Correlated Demand," Manufacturing & Service Operations Management, INFORMS, vol. 4(1), pages 55-74, December.
    2. Yossi Aviv, 2001. "The Effect of Collaborative Forecasting on Supply Chain Performance," Management Science, INFORMS, vol. 47(10), pages 1326-1343, October.
    3. 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.
    4. Yossi Aviv, 2007. "On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers," Management Science, INFORMS, vol. 53(5), pages 777-794, May.
    5. Vives, Xavier, 1988. "Aggregation of Information in Large Cournot Markets," Econometrica, Econometric Society, vol. 56(4), pages 851-876, July.
    6. William Novshek & Hugo Sonnenschein, 1982. "Fulfilled Expectations Cournot Duopoly with Information Acquisition and Release," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 214-218, Spring.
    7. Kandel, Eugene, 1996. "The Right to Return," Journal of Law and Economics, University of Chicago Press, vol. 39(1), pages 329-356, April.
    8. Robert L. Winkler, 1981. "Combining Probability Distributions from Dependent Information Sources," Management Science, INFORMS, vol. 27(4), pages 479-488, April.
    9. Gilvan C. Souza & Barry L. Bayus & Harvey M. Wagner, 2004. "New-Product Strategy and Industry Clockspeed," Management Science, INFORMS, vol. 50(4), pages 537-549, April.
    10. V. Padmanabhan & I. P. L. Png, 1997. "Manufacturer's Return Policies and Retail Competition," Marketing Science, INFORMS, vol. 16(1), pages 81-94.
    11. Georgia Perakis & Guillaume Roels, 2007. "The Price of Anarchy in Supply Chains: Quantifying the Efficiency of Price-Only Contracts," Management Science, INFORMS, vol. 53(8), pages 1249-1268, August.
    12. Terry A. Taylor & Wenqiang Xiao, 2009. "Incentives for Retailer Forecasting: Rebates vs. Returns," Management Science, INFORMS, vol. 55(10), pages 1654-1669, October.
    13. Vives, Xavier, 1984. "Duopoly information equilibrium: Cournot and bertrand," Journal of Economic Theory, Elsevier, vol. 34(1), pages 71-94, October.
    14. Lode Li, 2002. "Information Sharing in a Supply Chain with Horizontal Competition," Management Science, INFORMS, vol. 48(9), pages 1196-1212, September.
    15. Li, Lode & McKelvey, Richard D. & Page, Talbot, 1987. "Optimal research for cournot oligopolists," Journal of Economic Theory, Elsevier, vol. 42(1), pages 140-166, June.
    16. Gal-Or, Esther, 1985. "Information Sharing in Oligopoly," Econometrica, Econometric Society, vol. 53(2), pages 329-343, March.
    17. 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.
    18. Marshall Fisher & Kumar Rajaram, 2000. "Accurate Retail Testing of Fashion Merchandise: Methodology and Application," Marketing Science, INFORMS, vol. 19(3), pages 266-278, June.
    19. Gérard P. Cachon, 2004. "The Allocation of Inventory Risk in a Supply Chain: Push, Pull, and Advance-Purchase Discount Contracts," Management Science, INFORMS, vol. 50(2), pages 222-238, February.
    20. Barry Alan Pasternack, 1985. "Optimal Pricing and Return Policies for Perishable Commodities," Marketing Science, INFORMS, vol. 4(2), pages 166-176.
    21. Özalp Özer & Yanchong Zheng & Kay-Yut Chen, 2011. "Trust in Forecast Information Sharing," Management Science, INFORMS, vol. 57(6), pages 1111-1137, June.
    22. Robert T. Clemen & Robert L. Winkler, 1985. "Limits for the Precision and Value of Information from Dependent Sources," Operations Research, INFORMS, vol. 33(2), pages 427-442, April.
    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. Wu, Junjian & Wang, Haiyan & Shang, Jennifer, 2019. "Multi-sourcing and information sharing under competition and supply uncertainty," European Journal of Operational Research, Elsevier, vol. 278(2), pages 658-671.
    2. Susan A. Kayser & John W. Maxwell & Michael W. Toffel, 2014. "Signaling without Certification: The Critical Role of Civil Society Scrutiny," Harvard Business School Working Papers 15-009, Harvard Business School, revised Jul 2016.
    3. Karl Martin & Parag Chitalia & Murugan Pugalenthi & K. Raghava Rau & Sudeep Maity & Rahul Kumar & Rohit Saksena & Randhir Hebbar & Mahesh Krishnan & Ganesh Hegde & Chandrasekhar Kesanapally & Tejinder, 2014. "Dell’s Channel Transformation: Leveraging Operations Research to Unleash Potential Across the Value Chain," Interfaces, INFORMS, vol. 44(1), pages 55-69, February.
    4. 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.
    5. Xing, Wei & Li, Qiankun & Zhao, Xuan & Li, Jialu, 2020. "Information sale and contract selection under downstream competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    6. Neale G. O’Connor & Yan Du & Zhilin Yang & Mohammadreza Akbari, 2023. "Managing from a distance in international purchasing and supply," Operations Management Research, Springer, vol. 16(2), pages 594-619, June.
    7. Karimi, Majid & Zaerpour, Nima, 2022. "Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1035-1049.
    8. Susan A. Kayser & John W. Maxwell & Michael W. Toffel, 2014. "Supply chain screening without certification: The critical role of stakeholder pressure," Working Papers 2014-08, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    9. Bin Shen & Hau-Ling Chan, 2017. "Forecast Information Sharing for Managing Supply Chains in the Big Data Era: Recent Development and Future Research," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-26, February.
    10. Chonnikarn (Fern) Jira & Michael W. Toffel, 2013. "Engaging Supply Chains in Climate Change," Manufacturing & Service Operations Management, INFORMS, vol. 15(4), pages 559-577, October.
    11. Felix Papier, 2016. "Supply Allocation Under Sequential Advance Demand Information," Operations Research, INFORMS, vol. 64(2), pages 341-361, April.
    12. Weixin Shang & Albert Y. Ha & Shilu Tong, 2016. "Information Sharing in a Supply Chain with a Common Retailer," Management Science, INFORMS, vol. 62(1), pages 245-263, January.
    13. Kovtun, Vladimir & Giloni, Avi & Hurvich, Clifford, 2019. "The value of sharing disaggregated information in supply chains," European Journal of Operational Research, Elsevier, vol. 277(2), pages 469-478.
    14. Özalp Özer & Yanchong Zheng & Yufei Ren, 2014. "Trust, Trustworthiness, and Information Sharing in Supply Chains Bridging China and the United States," Management Science, INFORMS, vol. 60(10), pages 2435-2460, October.

    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. Hyoduk Shin & Tunay I. Tunca, 2010. "Do Firms Invest in Forecasting Efficiently? The Effect of Competition on Demand Forecast Investments and Supply Chain Coordination," Operations Research, INFORMS, vol. 58(6), pages 1592-1610, December.
    2. 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.
    3. 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.
    4. Yue, Xiaohang & Liu, John, 2006. "Demand forecast sharing in a dual-channel supply chain," European Journal of Operational Research, Elsevier, vol. 174(1), pages 646-667, October.
    5. Lode Li & Hongtao Zhang, 2008. "Confidentiality and Information Sharing in Supply Chain Coordination," Management Science, INFORMS, vol. 54(8), pages 1467-1481, August.
    6. Wei-Shiun Chang & Daniel A. Sanchez-Loor, 2020. "Downstream Information Leaking and Information Sharing Between Partially Informed Retailers," Journal of Industry, Competition and Trade, Springer, vol. 20(4), pages 733-760, December.
    7. Julia Miyaoka & Warren H. Hausman, 2008. "How Improved Forecasts Can Degrade Decentralized Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 10(3), pages 547-562, July.
    8. Sechan Oh & Özalp Özer, 2013. "Mechanism Design for Capacity Planning Under Dynamic Evolutions of Asymmetric Demand Forecasts," Management Science, INFORMS, vol. 59(4), pages 987-1007, April.
    9. Noam Shamir & Hyoduk Shin, 2016. "Public Forecast Information Sharing in a Market with Competing Supply Chains," Management Science, INFORMS, vol. 62(10), pages 2994-3022, October.
    10. Liang Guo & Ganesh Iyer, 2010. "Information Acquisition and Sharing in a Vertical Relationship," Marketing Science, INFORMS, vol. 29(3), pages 483-506, 05-06.
    11. Ye, Yu-Sen & Ma, Zu-Jun & Dai, Ying, 2016. "The price of anarchy in competitive reverse supply chains with quality-dependent price-only contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 86-107.
    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. Shamir, Noam, 2012. "Strategic information sharing between competing retailers in a supply chain with endogenous wholesale price," International Journal of Production Economics, Elsevier, vol. 136(2), pages 352-365.
    14. Daozhi Zhao & Zhibao Li, 2018. "The impact of manufacturer’s encroachment and nonlinear production cost on retailer’s information sharing decisions," Annals of Operations Research, Springer, vol. 264(1), pages 499-539, May.
    15. Chang, Chun-Hao & Prakash, Arun J. & Yeh, Shu, 2004. "Sale of monopoly information and behavior of rivaling clients: A theoretical perspective," Review of Financial Economics, Elsevier, vol. 13(3), pages 283-304.
    16. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
    17. Zhang, Juliang & Chen, Jian, 2013. "Coordination of information sharing in a supply chain," International Journal of Production Economics, Elsevier, vol. 143(1), pages 178-187.
    18. Guangwen Kong & Sampath Rajagopalan & Hao Zhang, 2013. "Revenue Sharing and Information Leakage in a Supply Chain," Management Science, INFORMS, vol. 59(3), pages 556-572, November.
    19. Bharadwaj Kadiyala & Özalp Özer & Alain Bensoussan, 2020. "A Mechanism Design Approach to Vendor Managed Inventory," Management Science, INFORMS, vol. 66(6), pages 2628-2652, June.
    20. Oded Berman & Mohammad M. Fazel-Zarandi & Dmitry Krass, 2019. "Truthful Cheap Talk: Why Operational Flexibility May Lead to Truthful Communication," Management Science, INFORMS, vol. 65(4), pages 1624-1641, April.

    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:inm:ormsom:v:14:y:2012:i:1:p:82-98. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.