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Modeling of a blending and marine transportation planning problem with fuzzy mixed-integer programming

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Abstract

Transportation management is an area that remains critical to overall logistics and supply chain success. The problem of multi-commodity, multi-period blending and marine transportation planning in a wheat supply chain is addressed in this paper. In real world problems, practical situations are often not well-defined and thus cannot be described precisely. Therefore fuzzy mathematical programming becomes a valuable extension of traditional crisp optimization models. This research resolves the blending and marine transportation planning problem using fuzzy mixed-integer programming (FMIP) method. Two types of fuzzy mathematical programming models are used. A real-life example is used to illustrate the potential savings which can be attained by using fuzzy models. Results obtained in this study clearly demonstrate that FMIP provides a better and more flexible way of representing the problem.

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Authors and Affiliations

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

    Bilge Bilgen

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  1. Bilge Bilgen
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Correspondence to Bilge Bilgen.

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Bilgen, B. Modeling of a blending and marine transportation planning problem with fuzzy mixed-integer programming. Int J Adv Manuf Technol 36, 1041–1050 (2008). https://doi.org/10.1007/s00170-006-0919-2

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  • DOI: https://doi.org/10.1007/s00170-006-0919-2

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