Abstract
We focus on improving a two-echelon blood sample collection chain with an application for MEUHEDET, the second largest health maintenance organization (HMO) in Israel. The effectiveness of the chain is influenced by two contradictory factors: (a) how many clinics should be activated to satisfy all customers' demand and (b) how many vehicles should be employed to deliver the collected samples to the testing lab in time and in a cost-effective manner. Determining the optimal balance between these two aspects while satisfying timing and quality constraints constitute the main focus of our work. To find a solution, a novel approach based on a combination of the vehicle routing heuristic with the fully polynomial time approximation scheme (FPTAS) is developed.
Original language | English |
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Title of host publication | 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 488-491 |
Number of pages | 4 |
ISBN (Electronic) | 9781538650653 |
DOIs | |
State | Published - 22 Jun 2018 |
Event | 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 - Thessaloniki, Greece Duration: 10 Apr 2018 → 13 Apr 2018 |
Publication series
Name | 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 |
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Conference
Conference | 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 |
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Country/Territory | Greece |
City | Thessaloniki |
Period | 10/04/18 → 13/04/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Funding
* This work was supported by grant 135/2012 from the Israel National Institute for Health Policy Research.
Funders | Funder number |
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Israel National Institute for Health Policy Research |
Keywords
- FPTAS
- blood samples collection
- healthcare supply chains
- optimization.