Citation

Akrotirianakis, I and Chakraborty, A An optimization-based approach for delivering radio-pharmaceuticals to medical imaging centers. In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic, pages 203-217, 2015.

Paper


Abstract

It is widely recognized that early diagnosis of most types of cancers can increase the chances of full recovery or substantially prolong the life of patients. Positron Emission Tomography (PET) has become the standard way to diagnose many types of cancers by generating high quality images of the a?ected organs. In order to create an accurate image a small amount of a radio-active agent needs to be injected in the patientís body. These agents are produced in specially equipped pharmacies and then distributed to medical imaging centers which are located in metropolitan and rural areas. Due to the relatively fast decay process of the radio-activity levels it is very important that they arrive at the imaging centers well before the time that the patient enters the room where PET scanner is located. In this paper we discuss the distribution process of radio-pharmaceuticals and develop a ?exible and e?cient mathematical model. Our objective is to serve a number of customers within a pre-speci?ed time interval at minimum transportation cost. At the same time the model ensures that all orders arrive at the imaging centers well before the patients enter the PET scanners. In addition the model takes into consideration the availability and capacity of the transportation vehicles. To demonstrate the e?ectiveness and e?ciency of our optimization model we present preliminary computational results in a variety of test cases which show that it can achieve substantial savings in transportation costs.


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Bibtex

@INPROCEEDINGS{2015-203-217-P, author = {I. Akrotirianakis and A. Chakraborty},
title = {An optimization-based approach for delivering radio-pharmaceuticals to medical imaging centers},
booktitle = {In proceedings of the 7th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2015), 25 - 28 Aug 2015, Prague, Czech Republic},
year = {2015},
editor = {Z. Hanzalek and G. Kendall and B. McCollum and P. Sucha},
pages = {203--217},
note = {Paper},
abstract = {It is widely recognized that early diagnosis of most types of cancers can increase the chances of full recovery or substantially prolong the life of patients. Positron Emission Tomography (PET) has become the standard way to diagnose many types of cancers by generating high quality images of the a?ected organs. In order to create an accurate image a small amount of a radio-active agent needs to be injected in the patientís body. These agents are produced in specially equipped pharmacies and then distributed to medical imaging centers which are located in metropolitan and rural areas. Due to the relatively fast decay process of the radio-activity levels it is very important that they arrive at the imaging centers well before the time that the patient enters the room where PET scanner is located. In this paper we discuss the distribution process of radio-pharmaceuticals and develop a ?exible and e?cient mathematical model. Our objective is to serve a number of customers within a pre-speci?ed time interval at minimum transportation cost. At the same time the model ensures that all orders arrive at the imaging centers well before the patients enter the PET scanners. In addition the model takes into consideration the availability and capacity of the transportation vehicles. To demonstrate the e?ectiveness and e?ciency of our optimization model we present preliminary computational results in a variety of test cases which show that it can achieve substantial savings in transportation costs.},
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2015-203-217-P.pdf} }