Skip to main content

Methodological Foundations

  • Chapter
  • First Online:
Competing on Supply Chain Quality

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 2))

  • 1519 Accesses

Abstract

In this chapter, we set the groundwork for the understanding and application of the methodological tools that are utilized for the supply chain network models with quality competition in this book. We first overview the basics of variational inequality theory and the connections with optimization. We provide conditions for existence and uniqueness of solutions, along with the definitions of the essential properties. We relate the variational inequality problem to game theory since game theory models are developed throughout this book in order to formulate competition among supply chain network decision-makers. In addition, we recall the fundamentals of projected dynamical systems theory and the relationships with variational inequality theory in order to enable the description of dynamic interactions among decision-makers in supply chains. For completeness, we also provide results on stability analysis. We discuss some fundamentals of multicriteria decision-making since supply chain decision-makers may be faced with multiple criteria, even conflicting ones, that they wish to optimize. Finally, we present algorithms that are used for solving the supply chain network models with quality competition.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Cohon, J. L. (1978). Multiobjective programming and planning. New York: Academic.

    Google Scholar 

  • Dhanda, K. K., Nagurney, A., & Ramanujam, P. (1999). Environmental networks: A framework for economic decision-making and policy analysis. Cheltenham: Edward Elgar Publishing.

    Google Scholar 

  • Dupuis, P., & Nagurney, A. (1993). Dynamical systems and variational inequalities. Annals of Operations Research, 44, 9–42.

    Article  Google Scholar 

  • Gabay, D., & Moulin, H. 1980. On the uniqueness and stability of Nash equilibria in noncooperative games. In A. Bensoussan, P. Kleindorfer, & C. S. Tapiero (Eds.), Applied stochastic control in econometrics and management science (pp. 271–294). Amsterdam: North-Holland.

    Google Scholar 

  • Gal, T., Stewart, T. J., & Hanne, T. (1999). Multicriteria decision making: Advances in MCDM models, algorithms, theory and applications. Boston: Kluwer Academic.

    Book  Google Scholar 

  • Hartman, P., & Stampacchia, G. (1966). On some nonlinear elliptic differential functional equations. Acta Mathematica, 115, 271–310.

    Article  Google Scholar 

  • Jones, D. F., Mirrazavi, S. K., & Tamiz, M. (2002). Multi-objective meta-heuristics: An overview of the current state-of-the-art. European Journal of Operational Research, 137(1), 1–9.

    Article  Google Scholar 

  • Karamardian, S. (1969). The nonlinear complementarity problem with applications, Part 1. Journal of Optimization Theory and Applications, 4, 87–98.

    Article  Google Scholar 

  • Keeney, R. L., & Raffa, H. (1976). Decisions with multiple objectives. New York: Wiley.

    Google Scholar 

  • Korpelevich, G. M. (1977). The extragradient method for finding saddle points and other problems. Matekon, 13, 35–49.

    Google Scholar 

  • Marler, R. T., & Arora, J. S. (2004). Survey of multi-objective optimization methods for engineering. Structural and Multidisciplinary Optimization, 26(6), 369–395.

    Article  Google Scholar 

  • Mullon, C. (2014). Network economics of marine ecosystems and their exploitation. Boca Raton, FL: CRC.

    Google Scholar 

  • Nagurney, A. (1999). Network economics: A variational inequality approach (2nd and Rev. ed.). Boston: Kluwer Academic.

    Book  Google Scholar 

  • Nagurney, A. (2006). Supply chain network economics: Dynamics of prices, flows, and profits. Cheltenham: Edward Elgar Publishing.

    Google Scholar 

  • Nagurney, A., & Dong, J. (2002). Supernetworks: Decision-making for the information age. Cheltenham: Edward Elgar Publishing.

    Google Scholar 

  • Nagurney, A., & Siokos, S. (1997). Financial networks: Statics and dynamics. Berlin: Springer.

    Book  Google Scholar 

  • Nagurney, A., & Zhang, D. (1996). Projected dynamical systems and variational inequalities with applications. Boston: Kluwer Academic.

    Book  Google Scholar 

  • Nagurney, A., Yu, M., Masoumi, A. H., & Nagurney, L. S. (2013). Networks against time: Supply chain analytics for perishable products. New York: Springer.

    Book  Google Scholar 

  • Nash, J. F. (1950). Equilibrium points in n-person games. Proceedings of the National Academy of Sciences, USA, 36, 48–49.

    Google Scholar 

  • Nash, J. F. (1951). Noncooperative games. Annals of Mathematics, 54, 286–298.

    Article  Google Scholar 

  • Pareto, V. (1971). Manual of political economy. New York: Augustus M. Kelley Publishers.

    Google Scholar 

  • Patriksson, M. (2015). The traffic assignment problem: Models and methods. New York: Courier Dover Publications.

    Google Scholar 

  • Ran, B., & Boyce, D. E. (1996). Modeling dynamic transportation networks. Berlin: Springer.

    Book  Google Scholar 

  • Rosen, J. B. (1965). Existence and uniqueness of equilibrium points for concave n-person games. Econometrica, 33(3), 520–533.

    Article  Google Scholar 

  • Triantaphyllou, E. (2000). Multi-criteria decision making methods: A comparative study. Dordrecht: Kluwer Academic.

    Book  Google Scholar 

  • Zadeh, L. A. (1963). Optimality and non-scalar-valued performance criteria. IEEE Transactions on Automatic Control, 8(1), 59–60.

    Article  Google Scholar 

  • Zhang, D., & Nagurney, A. (1995). On the stability of projected dynamical systems. Journal of Optimization Theory and Its Applications, 85, 97–124.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Nagurney, A., Li, D. (2016). Methodological Foundations. In: Competing on Supply Chain Quality. Springer Series in Supply Chain Management, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-25451-7_2

Download citation

Publish with us

Policies and ethics