In this paper, a real-world transportation problem is addressed, concerning the collection and the transportation of blood and biological sample tubes from draw centers to a main hospital. Blood and other biological samples are collected in different centers during morning hours and have to be transported to the main hospital by a fleet of vehicles. Each sample has a given lifetime, i.e., a deadline. If a sample can not arrive to the hospital before the deadline either is discarded or a stabilization process must be carried out in dedicated centers. After stabilization, a sample can be delivered to the main hospital by a new deadline. A time-indexed Mixed Integer Linear Programming formulation of the problem is provided and tested on different instances generated from real-life data.
Benini, M., Detti, P., de Lara, G.Z.M. (2019). A MILP Model for Biological Sample Transportation in Healthcare. In M. Paolucci (a cura di), Advances in Optimization and Decision Science for Society, Services and Enterprises. (pp. 81-94). Cham : Springer Nature [10.1007/978-3-030-34960-8_8].
A MILP Model for Biological Sample Transportation in Healthcare
Benini, Mario;Detti, Paolo
;de Lara, Garazi Zabalo Manrique
2019-01-01
Abstract
In this paper, a real-world transportation problem is addressed, concerning the collection and the transportation of blood and biological sample tubes from draw centers to a main hospital. Blood and other biological samples are collected in different centers during morning hours and have to be transported to the main hospital by a fleet of vehicles. Each sample has a given lifetime, i.e., a deadline. If a sample can not arrive to the hospital before the deadline either is discarded or a stabilization process must be carried out in dedicated centers. After stabilization, a sample can be delivered to the main hospital by a new deadline. A time-indexed Mixed Integer Linear Programming formulation of the problem is provided and tested on different instances generated from real-life data.
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https://hdl.handle.net/11365/1279714