Skip to main content

Advertisement

Log in

Simple Contracts to Coordinate the Capacity Procurement Model with Asymmetric Demand Information

  • Published:
Journal of Systems Science and Complexity Aims and scope Submit manuscript

Abstract

This paper studies the important problem of how to coordinate the capacity procurement model with asymmetric demand information. Under the model, the supplier has to secure necessary capacity before receiving a firm order from the manufacturer who possesses private demand information for her product. Optimal supply chain performance requires the manufacturer to share her forecast truthfully and the supplier to build enough capacity. In the literature, some elaborate contracts are designed to solve the problem. However, the authors prove that two simple conventional contracts (linear capacity reservation contract and payback agreement) can coordinate the supply chain and guarantee credible information sharing. Besides, the authors propose a new mechanism in which punishment is imposed in the payment function to bind the parties. To avoid punishment, the firms will choose the best decision for the entire supply chain. The contracts in this paper are all simple and easy to implement. The authors believe this work provides some insights to design coordination contracts in theory or in practice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Taylor T A and Plambeck E L, Simple relational contracts to motivate capacity investment: Price only vs. price and quantity, Manufacturing & Service Operations Management, 2007, 9(1): 94–113.

    Article  Google Scholar 

  2. Özer Ö and Wei W, Strategic commitments for an optimal capacity decision under asymmetric forecast information, Management Science, 2006, 52(8): 1238–1257.

    Article  Google Scholar 

  3. Cachon G P and Lariviere M A, Contracting to assure supply: How to share demand forecasts in a supply chain, Management Science, 2001, 47(5): 629–646.

    Article  Google Scholar 

  4. Egri P and Vncza J, Channel coordination with the newsvendor model using asymmetric information, International Journal of Production Economics, 2012, 135(1): 491–499.

    Article  Google Scholar 

  5. Lobel I and Xiao W, Technical note-optimal long-term supply contracts with asymmetric demand information, Operations Research, 2017, 65(5): 1275–1284.

    Article  MathSciNet  Google Scholar 

  6. Ha A Y, Supplier-buyer contracting: Asymmetric cost information and cutoff level policy for buyer participation, Naval Research Logistics, 2001, 48(1): 41–64.

    Article  MathSciNet  Google Scholar 

  7. Corbett C J and de Groote X, A supplier’s optimal quantity discount policy under asymmetric information, Management Science, 2000, 46(3): 444–450.

    Article  Google Scholar 

  8. Burnetas A, Gilbert S M, and Smith C E, Quantity discounts in single-period supply contracts with asymmetric demand information, IIE Transactions, 2007, 39(5): 465–479.

    Article  Google Scholar 

  9. Babich V, Li H, Ritchken P, et al., Contracting with asymmetric demand information in supply chains, European Journal of Operational Research, 2012, 217(2): 333–341.

    Article  MathSciNet  Google Scholar 

  10. Liu H, Jiang W, Feng G, et al., Information leakage and supply chain contracts, Omega, 2020, 90, 101944.

    Google Scholar 

  11. Fang Y, Wang X, and Yan J, Green product pricing and order strategies in a supply chain under demand forecasting, Sustainability, 2020, 12(2): 713–736.

    Article  Google Scholar 

  12. Cai W and Singham D I, A principal agent problem with heterogeneous demand distributions for a carbon capture and storage system, European Journal of Operational Research, 2018, 264(1): 239–256.

    Article  MathSciNet  Google Scholar 

  13. Amornpetchkul T, Duenyas I, and Sahin O, Mechanisms to induce buyer forecasting: Do suppliers always benefit from better forecasting? Prod. Oper. Manag., 2015, 24(11): 1724–1749.

    Article  Google Scholar 

  14. Oh S and Özer Ö, Mechanism design for capacity planning under dynamic evolutions of asymmetric demand forecasts, Management Science, 2013, 59(4): 987–1007.

    Article  Google Scholar 

  15. Tal A and Noam S, The effect of information asymmetry on ordering and capacity decisions in supply chains, European Journal of Operational Research, 2021, 292(2): 562–578.

    Article  MathSciNet  Google Scholar 

  16. Chen F, Information sharing and supply chain coordination, Supply Chain Management: Design, Coordination and Operation, Vol. 11 of Handbooks in Operations Research and Management Science, Elsevier, 2003, 341–421.

  17. Feng Q, Lai G, and Lu L X, Dynamic bargaining in a supply chain with asymmetric demand information, Management Science, 2015, 61(2): 301–315.

    Article  Google Scholar 

  18. Muzaffar A, Deng S, and Malik M N, Contracting mechanism with imperfect information in a two-level supply chain, Oper. Res. Int. J., 2020, 20: 349–368.

    Article  Google Scholar 

  19. Li L and Liu K, Coordination contract design for the newsvendor model, European Journal of Operational Research, 2020, 283(1): 380–389.

    Article  MathSciNet  Google Scholar 

  20. Taylor T A and Xiao W, Does a manufacturer benefit from selling to a better-forecasting retailer? Management Science, 2010, 56(9): 1584–1598.

    Article  Google Scholar 

  21. Wang J, Liu Z, and Zhao R, On the interaction between asymmetric demand signal and forecast accuracy information, European Journal of Operational Research, 2019, 277(3): 857–874.

    Article  MathSciNet  Google Scholar 

  22. Taylor T A and Plambeck E L, Supply chain relationships and contracts: The impact of repeated interaction on capacity investment and procurement, Management Science, 2007, 53(10): 1577–1593.

    Article  Google Scholar 

  23. Ren Z J, Cohen M A, Ho T H, et al., Information sharing in a long-term supply chain relationship: The role of customer review strategy, Operations Research, 2010, 58(1): 81–93.

    Article  MathSciNet  Google Scholar 

  24. Gibbons R, Game Theory for Applied Economists, Princeton University Press, Princeton, NJ, 1992.

    Book  Google Scholar 

  25. Crawford V P and Sobel J, Strategic information transmission, Econometrica, 1982, 50(6): 1431–1451.

    Article  MathSciNet  Google Scholar 

  26. Cachon G P and Lariviere M A, Supply chain coordination with revenue-sharing contracts: Strengths and limitations, Management Science, 2005, 51(1): 30–44.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linqiu Li.

Additional information

This paper was supported by the National Natural Science Foundation of China under Grant No. 72071198.

This paper was recommended for publication by Editor YU Yugang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, L., Liu, K. Simple Contracts to Coordinate the Capacity Procurement Model with Asymmetric Demand Information. J Syst Sci Complex 35, 245–263 (2022). https://doi.org/10.1007/s11424-021-0031-6

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11424-021-0031-6

Keywords

Navigation