Davari, S. and Ampountolas, K. (2017) Using Big Data for the Mobile Facility Routing Problem in Healthcare Delivery. INFORMS 2017 Healthcare Meeting, Rotterdam, The Netherlands, 26-28 Jul 2017.
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Abstract
This work presents a mobile facility routing problem with a continuous-time planning horizon using real-time data from a server. A set of vehicles are scheduled and routed in order to provide healthcare services to people considering capacity restrictions and budget constraints. We modelled this problem as an infinite dimensional bi objective mixed-integer programming model and proposed heuristics to solve it. The performance of the heuristics in terms of their solution quality and run-time have been compared. A case study in Glasgow, Scotland is provided as well.
| Item Type: | Conference or Workshop Item |
|---|---|
| Keywords: | Mobile facility routing problem, healthcare logistics, infinite dimensional bi-objective mixed-integer programming, big data. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Ampountolas, Dr Konstantinos |
| Authors: | Davari, S., and Ampountolas, K. |
| College/School: | College of Science and Engineering > School of Engineering > Infrastructure and Environment |
| Related URLs: |
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