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Fixed-Charge Transportation with Product Blending
Author(s) -
Dimitri J. Papageorgiou,
Alejandro Toriello,
George L. Nemhauser,
Martin Savelsbergh
Publication year - 2012
Publication title -
transportation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.965
H-Index - 115
eISSN - 1526-5447
pISSN - 0041-1655
DOI - 10.1287/trsc.1110.0381
Subject(s) - convex hull , linear programming relaxation , hull , relaxation (psychology) , mathematical optimization , product (mathematics) , regular polygon , process (computing) , computer science , integer (computer science) , time complexity , polynomial , integer programming , mathematics , engineering , algorithm , geometry , psychology , social psychology , mathematical analysis , marine engineering , programming language , operating system
Numerous planning models within the chemical, petroleum, and process industries involve coordinating the movement of raw materials in distribution networks so they can be blended into final products. The uncapacitated fixed-charge transportation problem with blending (FCTPwB) studied in this paper captures a core structure encountered in many of these environments. We model the FCTPwB as a mixed-integer linear program, and we derive two classes of facets, both exponential in size, for the convex hull of solutions for the problem with a single consumer and show that they can be separated in polynomial time. Furthermore, we prove that, in certain situations, these classes of facets along with the continuous relaxation of the original constraints yield a description of the convex hull. Finally, we present a computational study that demonstrates that these classes of facets are effective in reducing the integrality gap and solution time for more general instances of the FCTPwB with arc capacities and multiple consumers

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