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Differential variational inequalities and shipper dynamic oligopolistic network competition

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  • Friesz, Terry L.
  • Rigdon, Matthew A.
  • Mookherjee, Reetabrata

Abstract

In this paper, we show that the differential Cournot-Nash game describing dynamic oligopolistic network competition may be articulated as a differential variational inequality involving both control and state variables. We exploit this formulation to establish necessary conditions, an existence theorem and a nonconvex functional mathematical programming formulation. We show by example that, despite its nonconvexity, this mathematical program may be solved by the multi-start global optimization scheme found in the off-the-shelf software package GAMS when used in conjunction with the commercial solver MINOS. We also present a detailed numerical example. For that example, freight trip tables, formed ex post from the shipment patterns that are solutions to the dynamic oligopolistic network competition model we present, exhibit substantial temporal fluctuations. These observations are significant for they suggest that shippers must be extremely astute and capable of dramatically and rapidly altering production and distribution schedules if they are to compete in the final goods market successfully. If distribution services are provided by separate freight carriers, those carriers must be able to survive in a feast-or-famine environment.

Suggested Citation

  • Friesz, Terry L. & Rigdon, Matthew A. & Mookherjee, Reetabrata, 2006. "Differential variational inequalities and shipper dynamic oligopolistic network competition," Transportation Research Part B: Methodological, Elsevier, vol. 40(6), pages 480-503, July.
  • Handle: RePEc:eee:transb:v:40:y:2006:i:6:p:480-503
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    References listed on IDEAS

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    1. Harker, Patrick T. & Friesz, Terry L., 1986. "Prediction of intercity freight flows, II: Mathematical formulations," Transportation Research Part B: Methodological, Elsevier, vol. 20(2), pages 155-174, April.
    2. Terry L. Friesz & David Bernstein & Roger Stough, 1996. "Dynamic Systems, Variational Inequalities and Control Theoretic Models for Predicting Time-Varying Urban Network Flows," Transportation Science, INFORMS, vol. 30(1), pages 14-31, February.
    3. Terry L. Friesz & David Bernstein & Tony E. Smith & Roger L. Tobin & B. W. Wie, 1993. "A Variational Inequality Formulation of the Dynamic Network User Equilibrium Problem," Operations Research, INFORMS, vol. 41(1), pages 179-191, February.
    4. Harker, Patrick T. & Friesz, Terry L., 1986. "Prediction of intercity freight flows, I: Theory," Transportation Research Part B: Methodological, Elsevier, vol. 20(2), pages 139-153, April.
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    Cited by:

    1. José Holguín-Veras & Ning Xu & Miguel Jaller & John Mitchell, 2016. "A Dynamic Spatial Price Equilibrium Model of Integrated Urban Production-Transportation Operations Considering Freight Delivery Tours," Transportation Science, INFORMS, vol. 50(2), pages 489-519, May.
    2. Du, Bo & Wang, David Z.W., 2014. "Continuum modeling of park-and-ride services considering travel time reliability and heterogeneous commuters – A linear complementarity system approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 58-81.
    3. Kwon, Changhyun & Friesz, Terry L. & Mookherjee, Reetabrata & Yao, Tao & Feng, Baichun, 2009. "Non-cooperative competition among revenue maximizing service providers with demand learning," European Journal of Operational Research, Elsevier, vol. 197(3), pages 981-996, September.
    4. Florensa, Carlos & Garcia-Herreros, Pablo & Misra, Pratik & Arslan, Erdem & Mehta, Sanjay & Grossmann, Ignacio E., 2017. "Capacity planning with competitive decision-makers: Trilevel MILP formulation, degeneracy, and solution approaches," European Journal of Operational Research, Elsevier, vol. 262(2), pages 449-463.
    5. Chow, Joseph Y.J. & Ritchie, Stephen G. & Jeong, Kyungsoo, 2014. "Nonlinear inverse optimization for parameter estimation of commodity-vehicle-decoupled freight assignment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 71-91.
    6. Friesz, Terry L. & Han, Ke, 2019. "The mathematical foundations of dynamic user equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 309-328.
    7. Chung, Sung H. & Weaver, Robert D. & Friesz, Terry L., 2012. "Oligopolies in pollution permit markets: A dynamic game approach," International Journal of Production Economics, Elsevier, vol. 140(1), pages 48-56.
    8. Dragicevic, Arnaud Z. & Barkaoui, Ahmed, 2017. "Forest-based industrial network: Case of the French timber market," Forest Policy and Economics, Elsevier, vol. 75(C), pages 23-33.
    9. Friesz, Terry L. & Mookherjee, Reetabrata & Holguín-Veras, José & Rigdon, Matthew A., 2008. "Dynamic pricing in an urban freight environment," Transportation Research Part B: Methodological, Elsevier, vol. 42(4), pages 305-324, May.
    10. Shaun Lichter & Terry Friesz & Christopher Griffin & Amir Bagherzadeh, 2022. "Collaborative Network Topologies in Spatial Economies," Networks and Spatial Economics, Springer, vol. 22(3), pages 439-459, September.
    11. Paul Berglund & Changhyun Kwon, 2014. "Solving a Location Problem of a Stackelberg Firm Competing with Cournot-Nash Firms," Networks and Spatial Economics, Springer, vol. 14(1), pages 117-132, March.
    12. Zhaobo Chen & Chunying Tian & Ding Zhang & Dongyan Chen, 2020. "Dynamic model of a supply chain network with sticky price," Operational Research, Springer, vol. 20(2), pages 649-670, June.
    13. Bing-sheng He & Wei Xu & Hai Yang & Xiao-Ming Yuan, 2011. "Solving Over-production and Supply-guarantee Problems in Economic Equilibria," Networks and Spatial Economics, Springer, vol. 11(1), pages 127-138, March.
    14. Avinash Unnikrishnan & Varunraj Valsaraj & Steven Waller, 2009. "Stochastic and Dynamic Shipper Carrier Network Design Problem," Networks and Spatial Economics, Springer, vol. 9(4), pages 525-550, December.

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