Skip to main navigation Skip to search Skip to main content

Development of mathematical models for supply chains

  • Campoverde Campoverde, Jorge Arturo (Director)
  • Castillo Orbes, Nataly Carolina (Researcher)
  • Diaz Gutierrez, Jaime Patricio (Researcher)
  • Palacios Riquetti, Jorge Luis (Researcher)
  • Naula Sigua, Freddy Benjamin (Support Personnel I+D)
  • Borenstein Denis (International Advisor)
  • Borenstein Denis (International Advisor)
  • Romero Galarza, Carlos Armando (Assimilated Technical Staff)
  • Aucay Barros, Pablo Andres (Research Assistant)
  • Beltrán Vásquez, María Eulalia (Research Assistant)
  • Coronel Pangol, Katherine Tatiana (Research Assistant)
  • Coronel Tapia, Bryan Daniel (Research Assistant)
  • Fajardo Tigre, Cesar Vinicio (Research Assistant)
  • Orellana Espinoza, Felipe Eduardo (Research Assistant)
  • Naula Sigua, Freddy Benjamin (Assimilated Technical Staff)

Project: Research

Project Details

Description

The research project "Development of mathematical models for supply chains" is an investigation focused on distribution logistics in industries that operate with a large number of raw materials and products. The main objective of the investigation is to minimize the cost of the network supply chain and contribute to the operational management of the sectors subject to study. Due to the relevance of the problem in global logistics and the possibility of applying the study in real and practical cases, this work becomes a potential research opportunity. The scope is based on the supply of solutions that require less mathematical and computational complexity compared to literature studies but with satisfactory results for the specific problem of basin.

Call for Applications

14th RESEARCH PROJECT COMPETITION
Short titleDEVELOPMENT MATHEMATICAL MODELS SUPPLY
StatusFinished
Effective start/end date1/06/1631/05/17

Keywords

  • Supply chain
  • Project
  • Modeling
  • Linear entire programming

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.