Background: Due to the COVID-19 pandemic, Brazilian public schools closed in 2020. This lockdown stopped the provision of school meals to public school students, most of whom belonged to low-income families facing food insecurity. To guarantee the students' food security during this period, food...

Background: Transportation demand forecasting is an essential activity for logistics operators and carriers. It leverages business operation decisions, infrastructure, management, and resource planning activities. Since 2015, there has been an increase in the use of deep learning models in this...

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...

Background: This study presents a comprehensive methodology for enhancing humanitarian logistics planning and management in natural disasters, focusing on earthquakes. Methods: The innovative approach combines a deterministic mathematical model with a simulation model to address the problem from...

Part 1. Supply Chain Procurement -- Chapter 1. Supply Chain Strategies and Methodologies - A Bibliometric Review -- Chapter 2. Using Meta-Learning in Automatic Demand Forecast with Large Number of Products -- Chapter 3. Economic development and high-value supply chains -- Chapter 4. Artificial...

In April 2018 more than 150 researchers from 16 different countries convened at MIT for the second SCALE Latin American Conference on Supply Chain Management and Logistics (SCM&L). This edited book presents 18 papers on SCML in Latin America which emerged from this conference. As a region with...