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

Bilgen B.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, cilt.36, sa.9-10, ss.1041-1050, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 9-10
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1007/s00170-006-0919-2
  • Dergi Adı: INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1041-1050
  • Anahtar Kelimeler: supply chain management, distribution planning, fuzzy mathematical programming, marine transportation, ALLOCATION
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.