IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v208y2019icp184-198.html
   My bibliography  Save this article

Supply chain network equilibrium with strategic supplier investment: A real options perspective

Author

Listed:
  • Liu, Zugang
  • Wang, Jia

Abstract

This article develops a network equilibrium model that studies competing supply chain firms who can strategically invest in new capacity at suppliers under cost and demand uncertainty. We model the decision-making process of each supply chain firm as a stochastic optimization problem. We formulate the equilibrium conditions of all supply chain firms using the variational inequality theory. Analytical results establish connections from the supplier investment decisions to real put and call options. Option pricing theory is applied to show that the value of supplier capacity investment will increase if the demand uncertainty or the cost uncertainty increases, and will decrease if the price sensitivity or the cost factor increases. Numerical experiments are conducted to confirm and extend the analytical results, and to investigate the decision-making and profits of different supply chain firms in more complex and realistic settings. Our results also suggest that manufacturers should strategically invest in a portfolio of complementary suppliers with different risk characteristics that serve different purposes.

Suggested Citation

  • Liu, Zugang & Wang, Jia, 2019. "Supply chain network equilibrium with strategic supplier investment: A real options perspective," International Journal of Production Economics, Elsevier, vol. 208(C), pages 184-198.
  • Handle: RePEc:eee:proeco:v:208:y:2019:i:c:p:184-198
    DOI: 10.1016/j.ijpe.2018.11.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527318304493
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2018.11.010?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. De Giovanni, Domenico & Massabò, Ivar, 2018. "Capacity investment under uncertainty: The effect of volume flexibility," International Journal of Production Economics, Elsevier, vol. 198(C), pages 165-176.
    2. Anupam Agrawal & Youngsoo Kim & H. Dharma Kwon & Suresh Muthulingam, 2016. "Investment in Shared Suppliers: Effect of Learning, Spillover, and Competition," Production and Operations Management, Production and Operations Management Society, vol. 25(4), pages 736-750, April.
    3. Liang, Liang & Wang, Xihui & Gao, Jianguo, 2012. "An option contract pricing model of relief material supply chain," Omega, Elsevier, vol. 40(5), pages 594-600.
    4. Masoumi, Amir H. & Yu, Min & Nagurney, Anna, 2017. "Mergers and acquisitions in blood banking systems: A supply chain network approach," International Journal of Production Economics, Elsevier, vol. 193(C), pages 406-421.
    5. Zugang Liu & Anna Nagurney, 2013. "Supply chain networks with global outsourcing and quick-response production under demand and cost uncertainty," Annals of Operations Research, Springer, vol. 208(1), pages 251-289, September.
    6. Sudipto Sarkar, 2009. "A real-option rationale for investing in excess capacity," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 119-133.
    7. He, Juan & Ma, Chao & Pan, Kai, 2017. "Capacity investment in supply chain with risk averse supplier under risk diversification contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 255-275.
    8. Mathur, Puneet Prakash & Shah, Janat, 2008. "Supply chain contracts with capacity investment decision: Two-way penalties for coordination," International Journal of Production Economics, Elsevier, vol. 114(1), pages 56-70, July.
    9. Cuihong Li, 2013. "Sourcing for Supplier Effort and Competition: Design of the Supply Base and Pricing Mechanism," Management Science, INFORMS, vol. 59(6), pages 1389-1406, June.
    10. Anyan Qi & Hyun-Soo Ahn & Amitabh Sinha, 2015. "Investing in a Shared Supplier in a Competitive Market: Stochastic Capacity Case," Production and Operations Management, Production and Operations Management Society, vol. 24(10), pages 1537-1551, October.
    11. Wang, Qunzhi & Tsao, De-bi, 2006. "Supply contract with bidirectional options: The buyer's perspective," International Journal of Production Economics, Elsevier, vol. 101(1), pages 30-52, May.
    12. Qiang, Qiang & Ke, Ke & Anderson, Trisha & Dong, June, 2013. "The closed-loop supply chain network with competition, distribution channel investment, and uncertainties," Omega, Elsevier, vol. 41(2), pages 186-194.
    13. Liu, Zugang & Cruz, Jose M., 2012. "Supply chain networks with corporate financial risks and trade credits under economic uncertainty," International Journal of Production Economics, Elsevier, vol. 137(1), pages 55-67.
    14. Cuihong Li & Laurens G. Debo, 2009. "Strategic dynamic sourcing from competing suppliers with transferable capacity investment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(6), pages 540-562, September.
    15. 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.
    16. Yash Daultani & Sushil Kumar & Omkarprasad S. Vaidya & Manoj K. Tiwari, 2015. "A supply chain network equilibrium model for operational and opportunism risk mitigation," International Journal of Production Research, Taylor & Francis Journals, vol. 53(18), pages 5685-5715, September.
    17. Corey Billington & Blake Johnson & Alex Triantis, 2002. "A Real Options Perspective On Supply Chain Management In High Technology1," Journal of Applied Corporate Finance, Morgan Stanley, vol. 15(2), pages 32-43, December.
    18. G Barbarosoǧlu & Y Arda, 2004. "A two-stage stochastic programming framework for transportation planning in disaster response," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 43-53, January.
    19. Shanshan Hu & Zhixi Wan & Qing Ye & Wei Chi, 2017. "Supplier Behavior in Capacity Investment Competition: An Experimental Study," Production and Operations Management, Production and Operations Management Society, vol. 26(2), pages 273-291, February.
    20. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    21. Chen, Xu & Wan, Nana & Wang, Xiaojun, 2017. "Flexibility and coordination in a supply chain with bidirectional option contracts and service requirement," International Journal of Production Economics, Elsevier, vol. 193(C), pages 183-192.
    22. Andrew M. Davis & Stephen Leider, 2018. "Contracts and Capacity Investment in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 20(3), pages 403-421, July.
    23. Brian Tomlin, 2003. "Capacity Investments in Supply Chains: Sharing the Gain Rather Than Sharing the Pain," Manufacturing & Service Operations Management, INFORMS, vol. 5(4), pages 317-333, November.
    24. Cruz, Jose M. & Liu, Zugang, 2011. "Modeling and analysis of the multiperiod effects of social relationship on supply chain networks," European Journal of Operational Research, Elsevier, vol. 214(1), pages 39-52, October.
    25. Li, Dong & Nagurney, Anna, 2015. "A general multitiered supply chain network model of quality competition with suppliers," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 336-356.
    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. Yongtao Peng & Bohai Chen & Eleonora Veglianti, 2022. "Platform Service Supply Chain Network Equilibrium Model with Data Empowerment," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    2. Ata Allah Taleizadeh & Aria Zaker Safaei & Arijit Bhattacharya & Alireza Amjadian, 2022. "Online peer-to-peer lending platform and supply chain finance decisions and strategies," Annals of Operations Research, Springer, vol. 315(1), pages 397-427, August.
    3. Beatrice Marchi & Lucio Enrico Zavanella & Simone Zanoni, 2020. "Joint economic lot size models with warehouse financing and financial contracts for hedging stocks under different coordination policies," Journal of Business Economics, Springer, vol. 90(8), pages 1147-1169, September.
    4. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    5. Wang, Moran & Guo, Xiaolong & Wang, Shouyang, 2022. "Financial hedging in two-stage sustainable commodity supply chains," European Journal of Operational Research, Elsevier, vol. 303(2), pages 803-818.
    6. Chuan-Chuan Ko & Chien-Yu Liu & Zan-Yu Chen & Jing Zhou, 2019. "Sustainable Development Economic Strategy Model for Reducing Carbon Emission by Using Real Options Approach," Sustainability, MDPI, vol. 11(19), pages 1-14, October.
    7. Ma, Jun & Nault, Barrie R. & Tu, Yiliu (Paul), 2023. "Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective," International Journal of Production Economics, Elsevier, vol. 264(C).
    8. Anna Nagurney & Mojtaba Salarpour & June Dong & Ladimer S. Nagurney, 2020. "A Stochastic Disaster Relief Game Theory Network Model," SN Operations Research Forum, Springer, vol. 1(2), pages 1-33, June.
    9. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.
    10. Silaghi, Florina & Moraux, Franck, 2022. "Trade credit contracts: Design and regulation," European Journal of Operational Research, Elsevier, vol. 296(3), pages 980-992.
    11. Simeng Wang & Yongsheng Cheng & Xiaoxian Zhang & Chenchen Zhu, 2020. "The Implications of Vertical Strategic Interaction on Green Technology Investment in a Supply Chain," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    12. Li-Chen Cheng & Yu-Hsiang Huang & Ming-Hua Hsieh & Mu-En Wu, 2021. "A Novel Trading Strategy Framework Based on Reinforcement Deep Learning for Financial Market Predictions," Mathematics, MDPI, vol. 9(23), pages 1-16, November.
    13. Ming Zhang & Jianjun Zhu & Ponnambalam Kumaraswamy & Hehua Wang, 2019. "Evolutionary Game Analysis of the Effects of Problem Size and the Problem Proposing Mechanism on the Problem Processing Mechanism in a New Main Manufacturer–Supplier Collaborative System," Mathematics, MDPI, vol. 7(7), pages 1-19, July.
    14. Anna Nagurney, 2021. "A Multiperiod Supply Chain Network Optimization Model with Investments in Labor Productivity Enhancements in an Era of COVID-19 and Climate Change," SN Operations Research Forum, Springer, vol. 2(4), pages 1-22, December.

    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. Amirmohsen Golmohammadi & Alireza Tajbakhsh & Mohamed Dia & Pawoumodom M. Takouda, 2022. "Effect of timing on reliability improvement and ordering decisions in a decentralized assembly system," Annals of Operations Research, Springer, vol. 312(1), pages 159-192, May.
    2. Chan, Chi Kin & Zhou, Yan & Wong, Kar Hung, 2019. "An equilibrium model of the supply chain network under multi-attribute behaviors analysis," European Journal of Operational Research, Elsevier, vol. 275(2), pages 514-535.
    3. Zhou, Yan & Chan, Chi Kin & Wong, Kar Hung, 2018. "A multi-period supply chain network equilibrium model considering retailers’ uncertain demands and dynamic loss-averse behaviors," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 51-76.
    4. Pyung-Hoi Koo, 2022. "A Capacity Cost-Sharing Contract for a Two-Stage Supply Chain with a Risk-Averse Supplier under a Bargaining Power," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    5. Qiuyun Zhu & Xiaoyang Zhou & Aijun Liu & Chong Gao & Lei Xu & Fan Zhao & Ding Zhang & Benjamin Lev, 2022. "Equilibrium Optimization with Multi-Energy-Efficiency-Grade Products: Government and Market Perspective," Energies, MDPI, vol. 15(19), pages 1-23, October.
    6. Biswas, Indranil & Avittathur, Balram, 2019. "Channel coordination using options contract under simultaneous price and inventory competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 45-60.
    7. Anna Nagurney & Mojtaba Salarpour & June Dong & Ladimer S. Nagurney, 2020. "A Stochastic Disaster Relief Game Theory Network Model," SN Operations Research Forum, Springer, vol. 1(2), pages 1-33, June.
    8. He, Juan & Ma, Chao & Pan, Kai, 2017. "Capacity investment in supply chain with risk averse supplier under risk diversification contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 255-275.
    9. Mathur, Puneet Prakash & Shah, Janat, 2008. "Supply chain contracts with capacity investment decision: Two-way penalties for coordination," International Journal of Production Economics, Elsevier, vol. 114(1), pages 56-70, July.
    10. Alireza Bakhshi & Jafar Heydari, 2023. "An optimal put option contract for a reverse supply chain: case of remanufacturing capacity uncertainty," Annals of Operations Research, Springer, vol. 324(1), pages 37-60, May.
    11. Meng, Qingchun & Kao, Zhiping & Guo, Ying & Bao, Chunbing, 2023. "An emergency supplies procurement strategy based on a bidirectional option contract," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    12. Ma, Jun & Nault, Barrie R. & Tu, Yiliu (Paul), 2023. "Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective," International Journal of Production Economics, Elsevier, vol. 264(C).
    13. Onur Kaya & Serra Caner, 2018. "Supply chain contracts for capacity decisions under symmetric and asymmetric information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 67-92, March.
    14. Jasper Veldman & Edward Anderson & Niels J. Pulles & Gerard Gaalman, 2023. "Developing a shared supplier with endogenous spillovers," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 723-739, March.
    15. Dong Li & Anna Nagurney, 2017. "Supply chain performance assessment and supplier and component importance identification in a general competitive multitiered supply chain network model," Journal of Global Optimization, Springer, vol. 67(1), pages 223-250, January.
    16. Xin Geng & Harish Krishnan & Maurice Queyranne, 2021. "Cost‐raising internalization in supply chain design," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 295-311, April.
    17. Terry A. Taylor & Erica L. Plambeck, 2007. "Simple Relational Contracts to Motivate Capacity Investment: Price Only vs. Price and Quantity," Manufacturing & Service Operations Management, INFORMS, vol. 9(1), pages 94-113, January.
    18. Silaghi, Florina & Moraux, Franck, 2022. "Trade credit contracts: Design and regulation," European Journal of Operational Research, Elsevier, vol. 296(3), pages 980-992.
    19. Ebrahimi Bajgani, Sahar & Saberi, Sara & Toyasaki, Fuminori, 2023. "Designing a reverse supply chain network with quality control for returned products: Strategies to mitigate free-riding effect and ensure compliance with technology licensing requirements," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    20. Chan, Chi Kin & Zhou, Yan & Wong, Kar Hung, 2018. "A dynamic equilibrium model of the oligopolistic closed-loop supply chain network under uncertain and time-dependent demands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 325-354.

    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:proeco:v:208:y:2019:i:c:p:184-198. 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/ijpe .

    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.