Optimizing Long-Lasting Insecticidal Nets Campaign in Ivory Coast

Irineu de Brito, Silvia Uneddu, Emma Maspero and Paulo Gonçalves
Additional contact information
Irineu de Brito: Environmental Engineering Department, São Paulo State University, São José dos Campos 12247-004, Brazil
Silvia Uneddu: Supply Division, UNICEF, 2150 Nordhavn, Copenhagen, Denmark
Emma Maspero: Supply Division, UNICEF, 2150 Nordhavn, Copenhagen, Denmark
Paulo Gonçalves: Institute of Management and Organizations, Faculty of Economics, Università della Svizzera italiana, 6900 Lugano, Switzerland

Logistics, 2020, vol. 4, issue 3, 1-21

Abstract: This research supports the United Nations Children’s Fund’s (UNICEF) conceptualization, planning and implementation of a campaign for distribution of more than 12 million mosquito nets in Ivory Coast. Procured from four different suppliers in Asia, the nets were transported to the two ports in Ivory Coast before being pre-positioned at 71 Health Districts across the country, a mixed integer network flow model identifies optimal transport options. The process of modeling and the model developed in this paper brought a significant understanding of the problem and, consequently, a reduction in the overall procurement and logistics costs. The implications of using mathematical modeling by practitioners as a tool which contributes to solve humanitarian logistics problems are significant. Mathematical models, like linear programming, can greatly support overall decision-making within humanitarian organizations by helping to ensure that limited resources are used in the most cost-effective and efficient manner. However, it is important to ensure consultations with and involvement by on the ground practitioners to ensure developed solutions assessed to fit the operating context before being implemented.

Keywords: supply chain optimization; campaign logistics; distribution planning; UNICEF; Ivory Coast (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2305-6290/4/3/18/pdf (application/pdf)
https://www.mdpi.com/2305-6290/4/3/18/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:4:y:2020:i:3:p:18-:d:399818

Access Statistics for this article

Logistics is currently edited by Ms. Mavis Li

More articles in Logistics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().