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Application of Fuzzy Multi-objective Programming Approach to Supply Chain Distribution Network Design Problem

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MICAI 2006: Advances in Artificial Intelligence (MICAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4293))

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Abstract

A supply chain distribution network design model is developed in this paper. The goal of the model is to select the optimum numbers, locations and capacity levels of plants and warehouses to deliver the products to the retailers at the least cost while satisfying the desired service level. Maximal covering approach is employed in statement of the service level. Different from the previous researches in this area, coverage functions which differ among the retailers according to their service standard requests are defined for the retailers. Additionally, to provide a more realistic model structure, decision maker’s imprecise aspiration levels for the goals, and demand uncertainties are incorporated into the model through fuzzy modeling approach. Realistic computational experiments are provided to confirm the viability of the model.

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References

  1. Pirkul, H., Jayaraman, V.: A Multi-Commodity, Multi-Plant, Capacitated Facility Location Problem: Formulation and Efficient Heuristic Solution. Comput. Oper. Res. 25(10), 869–878 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  2. Jang, Y.-J., Jang, S.-Y., Chang, B.-Y., Park, J.: A Combined Model of Network Design and Production/Distribution Planning for a Supply Network. Comput. Ind. Eng. 43, 263–281 (2002)

    Article  Google Scholar 

  3. Erengüc, S.S., Simpson, N.C., Vakharia, A.J.: Integrated Production/Distribution Planning in Supply Chains: An Invited Review. Eur. J. Oper. Res. 115, 219–236 (1999)

    Article  MATH  Google Scholar 

  4. Pontrandolfo, P., Okogbaa, O.G.: Global Manufacturing: A Review and a Framework for Planning in a Global Corporation. Int. J. Prod. Res. 37(1), 1–19 (1999)

    Article  MATH  Google Scholar 

  5. Vidal, C.J., Goetschalckx, M.: Strategic Production-Distribution Models; A Critical Review With Emphasis on Global Supply Chain Models. Eur. J. Oper. Res. 98(1), 1–18 (1998)

    Article  Google Scholar 

  6. Aikens, C.H.: Facility Location Models for Distribution Planning. Eur. J. Oper. Res. 22, 263–279 (1985)

    Article  MATH  MathSciNet  Google Scholar 

  7. Brandeau, M.L., Chiu, S.S.: An Overview of Representative Problems in Location Research. Manage. Sci. 35, 645–674 (1989)

    Article  MATH  MathSciNet  Google Scholar 

  8. Avella, P., et al.: Some Personal Views on the Current State and the Future of Locational Analysis. Eur. J. Oper. Res. 104, 269–287 (1998)

    Article  MATH  Google Scholar 

  9. Jayaraman, V.: An Efficient Heuristic Procedure for Practical-Sized Capacitated Warehouse Design and Management. Decision Sci. 29, 729–745 (1998)

    Article  Google Scholar 

  10. Tragantalerngsak, S., Holt, J., Ronnqvist, M.: An Exact Method for the Two-Echelon, Single-Source, Capacitated Facility Location Problem. Eur. J. Oper. Res. 123, 473–489 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  11. Talluri, S., Baker, R.C.: A Multi-Phase Mathematical Programming Approach for Effective Supply Chain Design. Eur. J. Oper. Res. 141, 544–558 (2002)

    Article  MATH  Google Scholar 

  12. Amiri, A.: Designing a Distribution Network in a Supply Chain: Formulation and Efficient Solution Procedure. Eur. J. Oper. Res. 171, 567–576 (2006)

    Article  MATH  Google Scholar 

  13. Church, R.L., Revelle, C.: The Maximal Covering Location Problem. Pap. Reg. Sci. Assoc. 32, 101–118 (1974)

    Article  Google Scholar 

  14. Zadeh, L.A.: Fuzzy Sets. Inform. Control. 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  15. Petrovic, D., Roy, R., Petrovic, R.: Modeling and Simulation of a Supply Chain in an Uncertain Environment. Eur. J. Oper. Res. 109, 299–309 (1999)

    Article  Google Scholar 

  16. Narasimhan, R.: Goal Programming in a Fuzzy Environment. Decision Sci. 11, 325–336 (1980)

    Article  MathSciNet  Google Scholar 

  17. Narasimhan, R., Rubin, P.A.: Fuzzy Goal Programming with Nested Priorities. Fuzzy Set. Syst. 14, 115–129 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  18. Hannan, E.L.: Some Further Comments on Fuzzy Priorities. Decision Sci. 13, 337–339 (1981)

    Article  Google Scholar 

  19. Ignizio, J.P.: On the Rediscovery of Fuzzy Goal Programming. Decision Sci. 13, 331–336 (1982)

    Article  Google Scholar 

  20. Tiwari, R.N., Dharmar, S., Rao, J.R.: Fuzzy Goal Programming - An Additive Method. Fuzzy Set. Syst. 24, 27–34 (1987)

    Article  MATH  MathSciNet  Google Scholar 

  21. Mohamed, R.H.: The Relationship between Goal Programming and Fuzzy Programming. Fuzzy Set. Syst. 89, 215–222 (1997)

    Article  Google Scholar 

  22. Ohta, H., Yamaguchi, T.: Linear Fractional Goal Programming in Consideration of Fuzzy Solution. Eur. J. Oper. Res. 92, 157–165 (1996)

    Article  MATH  Google Scholar 

  23. Mohammed, W.: Chance Constrained Fuzzy Goal Programming with Right-Hand Side Uniform Random Variable Coefficients. Fuzzy Set. Syst. 109, 107–110 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  24. Bellman, R.E., Zadeh, L.A.: Decision Making in a Fuzzy Environment. Manage. Sci. 17, 141–164 (1970)

    Article  MathSciNet  Google Scholar 

  25. Zimmermann, H.-J.: Fuzzy Programming and Linear Programming with Several Objective Functions. Fuzzy Set. Syst. 1, 45–55 (1978)

    Article  MATH  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Dokuz Eylul University, 35100, Izmir, Turkey

    Hasan Selim & Irem Ozkarahan

Authors
  1. Hasan Selim
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  2. Irem Ozkarahan
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, 07738, Mexico City, México

    Alexander Gelbukh

  2. Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Luis Enrique Erro No. 1, Sta. Ma. Tonanzintla, 72840, Puebla, México

    Carlos Alberto Reyes-Garcia

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© 2006 Springer-Verlag Berlin Heidelberg

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Selim, H., Ozkarahan, I. (2006). Application of Fuzzy Multi-objective Programming Approach to Supply Chain Distribution Network Design Problem. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_39

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  • DOI: https://doi.org/10.1007/11925231_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49026-5

  • Online ISBN: 978-3-540-49058-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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