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Possibilistic Linear Programming in Blending and Transportation Planning Problem

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Applications of Fuzzy Sets Theory (WILF 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4578))

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Abstract

This paper presents a possibilistic linear programming model for solving the blending and multi-mode, multi-period distribution planning problem with imprecise transportation, blending and storage costs. The solution procedure uses the strategy of simultaneously minimizing the most possible value of the imprecise total costs, maximizing the possibility of obtaining lower total costs, minimizing the risk of obtaining higher total costs. An illustration with a data set from a realistic situation is included to demonstrate the effectiveness of the proposed model.

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Authors and Affiliations

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

    Bilge Bilgen

Authors
  1. Bilge Bilgen
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Editor information

Francesco Masulli Sushmita Mitra Gabriella Pasi

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Bilgen, B. (2007). Possibilistic Linear Programming in Blending and Transportation Planning Problem. In: Masulli, F., Mitra, S., Pasi, G. (eds) Applications of Fuzzy Sets Theory. WILF 2007. Lecture Notes in Computer Science(), vol 4578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73400-0_3

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  • DOI: https://doi.org/10.1007/978-3-540-73400-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73399-7

  • Online ISBN: 978-3-540-73400-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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