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A Multi-objective Multi-site Supply Chain Planning Problem under Risk and Uncertainty

  • Houssem FelfelEmail author
  • Omar Ayadi
  • Faouzi Masmoudi
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

In this paper, we propose a multi-objective two-stage stochastic programming model for a multi-site supply chain planning problem under demand uncertainty. Decisions such as the amount of products to be produced, the inventory level, the quantity of lost demand and the amounts of product transported between plants and customer are considered. In order to develop a robust supply chain planning solution, a risk measure is incorporated into the stochastic programming model. The proposed multi-objective model aims simultaneously to minimize the expected total cost, to minimize the worst-case cost and to maximize the customer demand satisfaction level. A numerical example is illustrated in order to show the effectiveness of the proposed model.

Keywords

supply chain planning multi-objective risk management stochastic programming 

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References

  1. Awudu, I., Zhang, J.: Stochastic production planning for a biofuel supply chain under demand and price uncertainties. Applied Energy 103, 189–196 (2013)CrossRefGoogle Scholar
  2. Birge, J.R., Louveaux, F.: Introduction to stochastic programming. Springer, New York (1997)zbMATHGoogle Scholar
  3. Bonfill, A., Bagajewicz, M., Espuňa, A., Puigjaner, L.: Risk management in the scheduling of batch plants under uncertain market demand. Ind. Eng. Chem. Res. 43, 741–750 (2004)CrossRefGoogle Scholar
  4. Fahimnia, B., Farahani, R.Z., Marian, R., Luong, L.: A review and critique on integrated production–distribution planning models and techniques. Journal of Manufacturing Systems 32(1), 1–19 (2013)CrossRefGoogle Scholar
  5. Felfel, H., Ayadi, O., Masmoudi, F.: Multi-objective Optimization of a Multi-site Manufacturing Network. In: Abbes, M.S., Choley, J.-Y., Chaari, F., Jarraya, A., Haddar, M. (eds.) Mechatronic Systems: Theory and Applications. LNME, pp. 69–76. Springer, Switzerland (2014)CrossRefGoogle Scholar
  6. Franca, R.B., Jones, E.C., Richards, C.N., Carlson, J.P.: Multi-objective stochastic supply chain modeling to evaluate tradeoffs between profit and quality. International Jour. of Production Economics 127(2), 292–299 (2010)CrossRefGoogle Scholar
  7. Guillén, G., Mele, F.D., Bagajewicz, M.J., Espuña, A., Puigjaner, L.: Multiobjective supply chain design under uncertainty. Chemical Engineering Science 60(6), 1535–1553 (2005)CrossRefGoogle Scholar
  8. Gupta, A., Maranas, C.D.: Managing demand uncertainty in supply chain planning. Computers and Chemical Engineering 27, 1219–1227 (2003)CrossRefGoogle Scholar
  9. Haimes, Y.Y., Lasdon, L.S., Wismer, D.A.: On a bicriterion formulation of the problems of integrated system identification and system optimization. IEEE Transactions on Systems, Man and Cybernetics 1, 296–297 (1971)CrossRefzbMATHMathSciNetGoogle Scholar
  10. Leung, S.C.H., Wu, Y., Lai, K.K.: A stochastic programming approach for multi-site aggregate production planning. Journal of the Operational Research Society 57, 123–132 (2006)CrossRefzbMATHGoogle Scholar
  11. Lin, J.T., Chen, Y.Y.: A multi-site supply network planning problem considering variable time buckets– A TFT-LCD industry case. The International Journal of Advanced Manufacturing Technology 33(9-10), 1031–1044 (2006)CrossRefGoogle Scholar
  12. Shah, N.K., Ierapetritou, M.G.: Integrated production planning and scheduling optimization of multisite, multiproduct process industry. Computers and Chemical Engineering 37, 214–226 (2012)CrossRefGoogle Scholar
  13. Sahinidis, N.V.: Optimization under uncertainty: state-of-the-art and opportunities. Computers and Chemical Engineering 28(6-7), 971–983 (2004)CrossRefGoogle Scholar
  14. Verderame, P.M., Floudas, C.A.: Integrated operational planning and medium-term scheduling for large-scale industrial batch plants. Industrial & Engineering Chemistry Research 47(14), 4845–4860 (2008)CrossRefGoogle Scholar
  15. You, F., Grossmann, I.E.: Design of responsive supply chains under demand uncertainty. Computers & Chemical Engineering 32(12), 3090–3111 (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.National School of Engineers of Sfax, Laboratory of Mechanics, Modeling and ProductionUniversity of SfaxSfaxTunisia

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