Robust Supply Chain Network Equilibrium Model

References

• Baghalian A, Rezapour S, Farahani RZ (2013) Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case. Eur. J. Oper. Res. 227(1):199–215.Crossref, Google Scholar
• Ben-Tal A, Nemirovski A (1998) Robust convex optimization. Math. Oper. Res. 23(4):769–805.Link, Google Scholar
• Ben-Tal A, Ghaoui LE, Nemirovski A (2009) Robust Optimization (Princeton University Press, West Sussex, UK).Crossref, Google Scholar
• Bertsimas D, Thiele A (2004) A robust optimization approach to supply chain management. Bienstock D, Nemhauser G, eds. Integer Programming and Combinatorial Optimization (Springer-Verlag, Berlin, Heidelberg), 86–100.Crossref, Google Scholar
• Cargo News (2015) Reality of Fares and Storage Charges of Primary Shippers, 35th ed. (Cargo News, Tokyo) (in Japanese).Google Scholar
• Dong J, Zhang D, Nagurney A (2004) A supply chain network equilibrium model with random demands. Eur. J. Oper. Res. 156(1):194–212.Crossref, Google Scholar
• Facchinei F, Pang JS (2003) Finite-Dimensional Variational Inequalities and Complementarity Problems (Springer-Verlag, New York).Google Scholar
• Hammond D, Beullens P (2007) Closed-loop supply chain network equilibrium under legislation. Eur. J. Oper. Res. 183(2):895–908.Crossref, Google Scholar
• Hayashi S (2013) Manual of ReSNA Plugins, ReSNA. Accessed November 8, 2016, http://www.plan.civil.tohoku.ac.jp/opt/hayashi/ReSNA/manual/manual_plugin.pdf.Google Scholar
• Hayashi S (2019) Sequential injective algorithm for weakly univalent vector equation—with application to regularized smoothing Newton algorithm. RIMS Kôôkyûroku. Forthcoming.Google Scholar
• Hayashi S, Yamashita N, Fukushima M (2005) A combined smoothing and regularization method for monotone second-order cone complementarity problems. SIAM J. Optim. 15(2):593–615.Crossref, Google Scholar
• Kleindorfer PR, Saad GH (2005) Managing disruption risks in supply chains. Production Oper. Management 14(1):53–68.Crossref, Google Scholar
• Li D, Nagurney A (2015) A general multitiered supply chain network model of quality competition with suppliers. Internat. J. Production Econom. 170(Pt. A):336–356.Crossref, Google Scholar
• Nagurney A (1993) Network Economics: A Variational Inequality Approach (Kluwer Academic Publishers, London).Crossref, Google Scholar
• Nagurney A (2016) Freight service provision for disaster relief: A competitive network model with computations. Ilias IS, Nagurney A, Pardalos PM, eds. Dynamics of Disasters: Key Concept, Models, Algorithms, and Insights (Springer International Publishing, Cham, Switzerland), 207–229.Google Scholar
• Nagurney A, Dong J, Zhang D (2002) A supply chain network equilibrium model. Transportation Res. Part E: Logist. Transportation Rev. 38(5):281–303.Crossref, Google Scholar
• Nagurney A, Flores EA, Soylu C (2016) A generalized Nash equilibrium network model for post-disaster humanitarian relief. Transportation Res. Part E: Logist. Transportation Rev. 95:1–18.Crossref, Google Scholar
• Narushima Y, Ogasawara H, Hayashi S (2013) A smoothing method with appropriate parameter control based on Fischer-Burmeister function for second-order cone complementarity problems. Abstr. Appl. Anal. 2013:1–16.Crossref, Google Scholar
• Narushima Y, Sagara N, Ogasawara H (2011) A smoothing Newton method with Fischer-Burmeister function for second-order cone complementarity problems. J. Optim. Theory Appl. 149(1):79–101.Crossref, Google Scholar
• Ogasawara H, Narushima Y (2012) The Jacobian consistency of smoothed Fischer-Burmeister function associated with second-order cones. J. Math. Anal. Appl. 394(1):231–247.Crossref, Google Scholar
• Pishvaee MS, Rabbani M, Torabi SA (2011) A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl. Math. Model. 35(2):637–649.Crossref, Google Scholar
• Soyster AL (1973) Convex programming with set-inclusive constraints and applications to inexact linear programming. Oper. Res. 21(5):1154–1157.Link, Google Scholar
• Sun J, Zhang L (2009) A globally convergent method based on Fischer-Burmeister operators for solving second-order cone constrained variational inequality problems. Comput. Math. Appl. 58(10):1936–1946.Crossref, Google Scholar
• Sun J, Chen JS, Ko CH (2012) Neural networks for solving second-order cone constrained variational inequality problem. Comput. Optim. Appl. 51(2):623–648.Crossref, Google Scholar
• Tang CS (2006) Perspectives in supply chain risk management. Internat. J. Production Econom. 103(2):451–488.Crossref, Google Scholar
• Wu T, Blackhurst J, Chidambaram V (2006) A model for inbound supply risk analysis. Comput. Indust. 57(4):350–365.Crossref, Google Scholar
• Yamada T, Imai K, Taniguchi E (2009) Supply chain network equilibrium with the behaviour of freight carriers. J. Japan Soc. Civil Engineers Part D 65(2):163–174 (in Japanese).Google Scholar
• Yang GF, Wang ZP, Li XQ (2009) The optimization of the closed-loop supply chain network. Transportation Res. Part E: Logist. Transportation Rev. 45(1):16–28.Crossref, Google Scholar