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Aligning Capacity Decisions in Supply Chains When Demand Forecasts Are Private Information: Theory and Experiment

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  • Kyle Hyndman

    (Maastricht University, 6211 LM Maastricht, The Netherlands; and Southern Methodist University, Dallas, Texas 75205)

  • Santiago Kraiselburd

    (Universidad Torcuato Di Tella, Alte. Sáenz Valiente 1010, C1428BIJ Buenos Aires, Argentina; and INCAE Business School, Apartado Postal 960-4050, Alajuela, Costa Rica)

  • Noel Watson

    (OPS MEND, Medford, Massachusetts 02155)

Abstract

We study the problem of a two-firm supply chain in which firms simultaneously choose a capacity before demand is realized. We focus on the role that private information about demand has on firms' ability to align their capacity decisions. When forecasts are private information, there are at most two equilibria: a complete coordination failure or a monotone equilibrium. The former equilibrium always exists, whereas the latter exists only when the marginal cost of capacity is sufficiently low. We also show that both truthful information sharing and preplay communication have an equilibrium with higher profits. We then test the model's predictions experimentally. Contrary to our theoretical predictions, we show that private demand forecasts do not have a consistently negative effect on firm profits, though capacities are more misaligned. We show that preplay communication may be more effective at increasing profits than truthful information sharing. Finally, we document that "honesty is the best policy" when communicating private information.

Suggested Citation

  • Kyle Hyndman & Santiago Kraiselburd & Noel Watson, 2013. "Aligning Capacity Decisions in Supply Chains When Demand Forecasts Are Private Information: Theory and Experiment," Manufacturing & Service Operations Management, INFORMS, vol. 15(1), pages 102-117, March.
  • Handle: RePEc:inm:ormsom:v:15:y:2013:i:1:p:102-117
    DOI: 10.1287/msom.1120.0400
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    References listed on IDEAS

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    Cited by:

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    3. Karen Donohue & Özalp Özer, 2020. "Behavioral Operations: Past, Present, and Future," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 191-202, January.
    4. Eirini Spiliotopoulou & Karen Donohue & Mustafa Çagri Gürbüz, 2022. "Ordering Behavior and the Impact of Allocation Mechanisms in an Integrated Distribution System," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 422-441, February.
    5. Spiliotopoulou, Eirini & Donohue, Karen & Gürbüz, Mustafa Çagri & Heese, H. Sebastian, 2018. "Managing and reallocating inventory across two markets with local information," European Journal of Operational Research, Elsevier, vol. 266(2), pages 531-542.
    6. Özalp Özer & Upender Subramanian & Yu Wang, 2018. "Information Sharing, Advice Provision, or Delegation: What Leads to Higher Trust and Trustworthiness?," Management Science, INFORMS, vol. 64(1), pages 474-493, January.
    7. Karaca, Utku & Birbil, Ş. İlker & Aydın, Nurşen & Mullaoğlu, Gizem, 2023. "Masking primal and dual models for data privacy in network revenue management," European Journal of Operational Research, Elsevier, vol. 308(2), pages 818-831.
    8. Siqi Ma & Li Hao & John A. Aloysius, 2021. "Women are an Advantage in Supply Chain Collaboration and Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1427-1441, May.
    9. Sebastian Schiffels & Guido Voigt, 2021. "Capacity Reservation and Wholesale Price Contracts under Forecast Sharing: A Behavioral Assessment," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3579-3598, October.
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    11. 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.

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