Integer and combinatorial optimization
Integer and combinatorial optimization
A branch-and-bound method for the fixed charge transportation problem
Management Science
Revised-modified penalties for fixed charge transportation problems
Management Science
Algorithms for solving the single-sink fixed-charge transportation problem
Computers and Operations Research
Flow pack facets of the single node fixed-charge flow polytope
Operations Research Letters
Flow pack facets of the single node fixed-charge flow polytope
Operations Research Letters
On valid inequalities for quadratic programming with continuous variables and binary indicators
IPCO'13 Proceedings of the 16th international conference on Integer Programming and Combinatorial Optimization
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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.