Supply chain network equilibrium with revenue sharing contract under demand disruptions
Tóm tắt
Contract is a common and effective mechanism for supply chain coordination, which has been studied extensively in recent years. For a supply chain network model, contracts can be used to coordinate it because it is too ideal to obtain the network equilibrium state in practical market competition. In order to achieve equilibrium, we introduce revenue sharing contract into a supply chain network equilibrium model with random demand in this paper. Then, we investigate the influence on this network equilibrium state from demand disruptions caused by unexpected emergencies. When demand disruptions happen, the supply chain network equilibrium state will be broken and change to a new one, so the decision makers need to adjust the contract parameters to achieve the new coordinated state through bargaining. Finally, a numerical example with a sudden demand increase as a result of emergent event is provided for illustrative purposes.
Tài liệu tham khảo
C. Y. Wong, J. Johansen. Developing framework of supply chain coordination. In Proceedings of EUROMA Conference, Fontainebleau, France, VI, pp. 659–668, 2004.
Z. L. Yang, J. Wang, S. Bonsall, J. B. Yang, Q. G. Fang. A subjective risk analysis approach of container supply chains, International Journal of Automation and Computing, vol.2, no. 1, pp. 85–92, 2005.
E. E. Uyiomendo, T. Markeset. Subsea maintenance service delivery: Mapping factors influencing scheduled service duration, International Journal of Automation and Computing, vol. 7, no. 2, pp. 167–172, 2010.
A. Nagurney, J. Dong, D. Zhang. A supply chain network equilibrium model, Transportation Research Part E: Logistics and Transportation Review, vol. 38 no. 5, pp. 281–303, 2002.
J. Dong, D. Zhang, A. Nagurney. A supply chain network equilibrium model with random demand, European Journal of Operations Research, vol. 156, no. 1, pp. 194–212, 2004.
A. Nagurney, J. Cruza, J. Dong, D. Zhang. Supply chain networks, electronic commerce, and supply side and demand side risk, European Journal of Operational Research, vol. 164, no. 1, pp. 120–142, 2005.
C. X. Teng, F. M. Yao, X. W. Hu. Study on multicommodity flow supply chain network equilibrium model with random demand, Systems Engineering — Theory and Practice, vol. 27, no. 10, pp. 77–83, 2007. (in Chinese)
A. Nagurney. A system-optimization perspective for supply chain network integration: The horizontal merger case, Transportation Research Part E: Logistics and Transportation Review, vol. 45, no. 1, pp. 1–15, 2009.
H. C. Sun, Y. L. Dong. A new type of solution method for the generalized linear complementarity problem over a polyhedral cone, International Journal of Automation and Computing, vol. 6, no. 3, pp. 228–233, 2009.
G. P. Cachon. Supply chain coordination with contracts, Handbooks in Operations Research and Management Science: Supply Chain Management, S. Graves, Ed., Holland: Kluwer Academic Publishers, pp. 227–339, 2003.
I. Giannoccaro, P. Pontrandolfo. Supply chain coordination by revenue sharing contracts, International Journal of Production Economics, vol. 89, no. 2, pp. 131–139, 2004.
I. Bose, P. Anand. On returns policies with exogenous price, European Journal of Operational Research, vol. 178, no. 3, pp. 782–788, 2007.
J. Hou, A. Z. Zeng, L. D. Zhao. Achieving better coordination through revenue sharing and bargaining in a twostage supply chain, Computers and Industrial Engineering, vol. 57, no. 1, pp. 383–394, 2009.
C. X. Teng, Y. X. Hu. The study of supply chain network equilibrium model with contracts. In Proceedings of the 2nd International Conference on Innovative Computing, Information and Control, IEEE, Kumamoto, Japan, pp. 410, 2007.
B. Ritchie, C. Brindley. An emergent framework for supply chain risk management and performance measurement, Journal of the Operational Research Society, vol. 58, no. 11, pp. 1398–1411, 2007.
H. J. Zhu, Y. Tian. Research on the classification and grading system of emergencies in supply chain emergency management. In Proceedings of International Conference on Management Science and Engineering, IEEE, Moscow, Russia, pp. 513–517, 2009.
J. Clausen, J. Hansen, A. Larsen, J. Larsen. Disruption management, OR/MS Today, vol. 28, no. 5, pp. 40–43, 2001.
X. T. Qi, J. F. Bard, G. Yu. Supply chain coordination with demand disruptions, Omega, vol. 32, no. 4, pp. 301–312, 2004.
H. Yu, J. Chen, G. Yu. Supply chain coordination under demand disruptions with quantity discount contract. In Proceedings of International Conference on Services Systems and Services Management, IEEE, Chongqing, PRC, vol. 1, pp. 712–715, 2005.
H. Yu, J. Chen, G. Yu. Managing wholesale price contract in the supply chain under disruptions, System Engineering — Theory and Practice, vol. 26, no. 8, pp. 33–41, 2006. (in Chinese)
C. H. Sun, H. Yu. Supply chain contract under product cost disruption. In Proceedings of International Conference on Services Systems and Services Management, IEEE, Chongqing, PRC, vol. 1, pp. 708–711, 2005.
L. Sun, Y. H. Ma. Supply chain coordination in emergent events using a revenue-sharing contract, Journal of Beijing University of Chemical Technology (Natural Science Edition), vol. 35, no. 3, pp. 97–99, 2008. (in Chinese)
C. X. Teng, Y. X. Hu, Y. S. Zhou. Supply chain network equilibrium with stochastic demand under disruptions, Systems Engineering — Theory and Practice, vol. 29, no. 3, pp. 16–20, 2009. (in Chinese)
A. T. Yang, L. D. Zhao. Supply chain network equilibrium with profit sharing contract responding to emergencies. In Proceedings of International Conference on Life System Modeling and Simulation, and International Conference on Intelligent Computing for Sustainable Energy and Environment, Part I, Lecture Notes in Computer Science, Wuxi, PRC, Springer, vol. 6328, pp. 445–455, 2010.
J. F. Nash. Non-cooperative games, Annals of Mathematics, vol. 54, no. 2, pp. 286–298, 1951.
P. T. Harker, J. S. Pang. Finite-dimensional variational inequality and nonlinear complementarity problem: A survey of theory, algorithms and applications, Mathematical Programming, vol. 48, no. 1–3, pp. 161–220, 1990.
X. L. Fu. A two-stage prediction-correction method for solving monotone variational inequalities, Journal of Computational and Applied Mathematics, vol. 214, no. 2, pp. 345–355, 2008.