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The Supply Chain Network Equilibrium Model with Direct Marketing under Random Demand

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Proceedings of the Sixth International Conference on Management Science and Engineering Management

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 185))

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Abstract

A single-commodity equilibrium model of a competitive supply chain network with direct marketing in the case of random demands associated with the demand.markets is developed. The network structure of the supply chain is identified and equilibrium conditions are derived. A finite-dimensional variational inequality.formulation is established. A revised Quasi-Newton Method is built to solve the equilibrium model with direct marketing under random demands, and a numerical example is given.

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References

  • Stadtler H, Kilger C (2000) Supply chain management and advanced planning. Springer,Berlin.

    Google Scholar 

  • Poirier C (1996) Supply chain optimization: Building a total business network. Berrett- Kochler Publishers, San Francisco.

    Google Scholar 

  • Poirier C (1999) Advanced supply chain management: How to build a sustained competitive advantage. Berrett-Kochler Publishers, San Francisco.

    Google Scholar 

  • Federgruen A, Zipkin P (1986) An inventory model with limited production capacity and uncertain demands I: The average cost criterion. Mathematics of Operations Research 11:193–207.

    Google Scholar 

  • Slats P, Bhola B, Evers J et al (1995) Logistic chain modelling. European Journal of Operations Research 87:1–20.

    Google Scholar 

  • Hensher D, Button K, Brewer S (2001) Handbook of logistics and supply chain management.Elsevier, Oxford.

    Google Scholar 

  • Ereng¨uc S, Simpson N, Vakharia A (1999) Integrated production/distribution planning in supply chains: An invited review. European Journal of Operations Research 115:219–236.

    Google Scholar 

  • Lee L, Billington C (1993) Material management in decentralized supply chains. Operations Research 41:835–847.

    Google Scholar 

  • Anupindi R, Bassok Y (1996) Distribution channels, information systems and virtual centralization.In: Proceedings of the Manufacturing and Service Operations Management Society Conference 87–92.

    Google Scholar 

  • Lederer P, Li L (1997) Pricing, production, scheduling, and delivery-time competition. Operations Research 4:407–420.

    Google Scholar 

  • Corbett C, Karmarkar U (2001) Competition and structure serial supply chains with deterministic demand. Management Science 47:966–978.

    Google Scholar 

  • Arrow K, Intrilligator M (1982) Handbook of mathematical economics. Elsevier, New York.

    Google Scholar 

  • Nagurney A (1999) Network economics: A variational inequality approach. 2nd edn, Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  • Nagurney A, Cruz J, Dong J et al (2005) Supply chain networks, electronic commerce, and supply side and demand side risk. European Journal of Operational Research 164:120–142.

    Google Scholar 

  • Nagurney A, Dong J, Zhang D (2002) A supply chain network equilibrium model. Transportation Research Part E: Logistics and Transportation Review 38:281–303.

    Google Scholar 

  • Nagurney A, Liu Z, Cojocaru M et al (2007) Dynamic electric power supply chains and transportation networks: An evolutionary variational inequality formulation. Transportation Research Part E: Logistics and Transportation Review 43:624–646.

    Google Scholar 

  • Nagurney A, Matsypura D (2005) Global supply chain network dynamics with multicriteria decision-making under risk and uncertainty. Transportation Research Part E: Logistics and Transportation Review 41:585–612.

    Google Scholar 

  • Nagurney A, Toyasaki F (2003) Supply chain supernetworks and environmental criteria.Transportation Research Part D: Transport and Environment 8:185–213.

    Google Scholar 

  • Nagurney A (2006) On the relationship between supply chain and transportation network equilibria: A supernetwork equivalence with computations. Transportation Research Part E:Logistics and Transportation Review 42:293–316.

    Google Scholar 

  • Fischer A (1992) A special Newton-type optimization method. Optimization 24:269–284.

    Google Scholar 

Download references

Acknowledgements

The research was supported by the philosophy and Social Science Planning Projects of Sichuan Province (SC11B044), P. R. China; Bringing in qualified personnel projects of Chengdu University of Information Technology (KYTZ201203), P. R. China.51 The Supply Chain Network Equilibrium Model with Direct Marketing 615

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Correspondence to Z Wu .

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Wu, Z., Huang, B., Hu, Y. (2013). The Supply Chain Network Equilibrium Model with Direct Marketing under Random Demand. In: Xu, J., Yasinzai, M., Lev, B. (eds) Proceedings of the Sixth International Conference on Management Science and Engineering Management. Lecture Notes in Electrical Engineering, vol 185. Springer, London. https://doi.org/10.1007/978-1-4471-4600-1_51

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  • DOI: https://doi.org/10.1007/978-1-4471-4600-1_51

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  • Online ISBN: 978-1-4471-4600-1

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