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Mathematical Problems in Engineering
Volume 2017, Article ID 5825912, 11 pages
https://doi.org/10.1155/2017/5825912
Research Article

Supply Chain Network Optimization Based on Fuzzy Multiobjective Centralized Decision-Making Model

School of Management Engineering and Electronic Commerce, Zhejiang Gongshang University, Hangzhou 310018, China

Correspondence should be addressed to Tinggui Chen; moc.liamg@nomisgtc

Received 17 October 2016; Accepted 19 January 2017; Published 5 March 2017

Academic Editor: Anna M. Gil-Lafuente

Copyright © 2017 Xinyi Fu and Tinggui Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. T. Chen, C. Ju, and G. Zhou, “Disruption management for vehicle routing problem with time-window changes,” International Journal of Shipping and Transport Logistics, vol. 9, no. 1, pp. 4–28, 2017. View at Publisher · View at Google Scholar
  2. T. Chen and Y. Jiang, “Research on operating mechanism for creative products supply chain based on game theory,” Discrete and Continuous Dynamical Systems. Series S, vol. 8, no. 6, pp. 1103–1112, 2015. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  3. J. Kacprzyk and P. Stanieski, “Long-term inventory policy-making through fuzzy decision-making models,” Fuzzy Sets and Systems, vol. 8, no. 2, pp. 117–132, 1982. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  4. K. S. Park, “Fuzzy-set theoretic interpretation of economic order quantity,” IEEE Transactions on Systems, Man and Cybernetics, vol. 17, no. 6, pp. 1082–1084, 1987. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Sadeghi, S. M. Mousavi, and S. T. A. Niaki, “Optimizing an inventory model with fuzzy demand, backordering, and discount using a hybrid imperialist competitive algorithm,” Applied Mathematical Modelling, vol. 40, no. 15-16, pp. 7318–7335, 2016. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  6. D. K. Jana, B. Das, and M. Maiti, “Multi-item partial backlogging inventory models over random planninghorizon in random fuzzy environment,” Applied Soft Computing Journal, vol. 21, pp. 12–27, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. G. C. Mahata and A. Goswami, “Fuzzy inventory models for items with imperfect quality and shortage backordering under crisp and fuzzy decision variables,” Computers and Industrial Engineering, vol. 64, no. 1, pp. 190–199, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. S. K. De and S. S. Sana, “Fuzzy order quantity inventory model with fuzzy shortage quantity and fuzzy promotional index,” Economic Modelling, vol. 31, pp. 351–358, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. I. Giannoccaro, P. Pontrandolfo, and B. Scozzi, “A fuzzy echelon approach for inventory management in supply chains,” European Journal of Operational Research, vol. 149, no. 1, pp. 185–196, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  10. L. Y. Ouyang and J. S. Yao, “A minimax distribution free procedure for mixed inventory model involving variable lead time with fuzzy demand,” International Journal of Production Economics, vol. 76, no. 1, pp. 471–487, 2002. View at Google Scholar
  11. C. H. Hsieh, “Optimization of fuzzy production inventory models,” Information Sciences, vol. 146, no. 1–4, pp. 29–40, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  12. S. Chanas, M. Delgado, J. L. Verdegay, and M. A. Vila, “Interval and fuzzy extensions of classical transportation problems,” Transportation Planning and Technology, vol. 17, no. 2, pp. 203–218, 1993. View at Publisher · View at Google Scholar · View at Scopus
  13. D. Petrovic, R. Roy, and R. Petrovic, “Supply chain modelling using fuzzy sets,” International Journal of Production Economics, vol. 59, no. 1, pp. 443–453, 1999. View at Publisher · View at Google Scholar · View at Scopus
  14. D. Petrović, R. Petrović, and M. Vujošević, “Fuzzy models for the newsboy problem,” International Journal of Production Economics, vol. 45, no. 1–3, pp. 435–441, 1996. View at Publisher · View at Google Scholar · View at Scopus
  15. D. Kannan, R. Khodaverdi, L. Olfat, A. Jafarian, and A. Diabat, “Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain,” Journal of Cleaner Production, vol. 47, pp. 355–367, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. C.-L. Chen and W.-C. Lee, “Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices,” Computers and Chemical Engineering, vol. 28, no. 6-7, pp. 1131–1144, 2004. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Lin, M. Liu, J. Hao, and S. Jiang, “A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry,” Computers and Operations Research, vol. 72, no. 8, pp. 189–203, 2016. View at Publisher · View at Google Scholar · View at Scopus
  18. R. A. Aliev, B. Fazlollahi, B. G. Guirimov, and R. R. Aliev, “Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management,” Information Sciences, vol. 177, no. 20, pp. 4241–4255, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  19. D. B. Rinks, “The performance of fuzzy algorithm models for aggregate planning and differing cost structures,” in Approximate Reasoning in Decision Analysis, North Holland, Amsterdam, Netherlands, 1982. View at Google Scholar
  20. Y. Y. Lee, Fuzzy set theory approach to aggregate production planning and inventory control [Ph.D. thesis], Kansas State University, Manhattan, Kan, USA, 1990.
  21. M. Gao, M. C. Zhou, and Y. Tang, “Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets,” IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, vol. 34, no. 5, pp. 2029–2034, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. Y. Dong, J. Tang, B. Xu, and D. Wang, “An interactive multi criteria fuzzy intensive production plan,” Information and Control, vol. 33, no. 2, pp. 156–161, 2004. View at Google Scholar
  23. H. Sun and Z. Gao, “Bi-level optimization model of supply chain distribution system,” Journal of Management Science Chain Distribution, vol. 6, no. 3, pp. 66–70, 2003. View at Google Scholar
  24. Y. Hong, X. Yang, and Y. He, “Research on the method of production lot planning with fuzzy capacity constraints,” System Engineering Theory and Practice, vol. 21, no. 1, pp. 41–44, 2001. View at Google Scholar
  25. K. S. Moghaddam, “Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty,” Expert Systems with Applications, vol. 42, no. 15-16, pp. 6237–6254, 2015. View at Publisher · View at Google Scholar · View at Scopus
  26. T. Chen and R. Xiao, “Modeling design iteration in product design and development and its solution by a novel artificial bee colony algorithm,” Computational Intelligence and Neuroscience, vol. 2014, Article ID 240828, 13 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus