Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Supply Chains in Sub‐Saharan Africa: A Decision Support System for Small‐Scale Seed Entrepreneurs*

Domain:

agriculturesocioeconomic

Record type:

software
Creator:
BobKevPau
Publisher:
WILEY
Host:
ABSTRACT It is necessary to infuse a consistent supply of improved seed varieties into local sub‐Saharan African crop production to improve low crop yields. The best distribution channel for the improved seed varieties may be small‐scale commercial seed companies, but local entrepreneurs struggle to determine whether such businesses are viable. Using a multi‐echelon supply chain approach, a decision support system (DSS) was designed to help African seed entrepreneurs make informed decisions about small‐scale seed chain businesses. Specifically, entrepreneurs make decisions about where to locate seed enterprises, with which farmers to contract, and where to store seed. Optimization and simulation modeling are used to evaluate infrastructure variables such as distance, transportation cost, and storage loss and cost in three development level areas. Currently, the decision tool is used in Mozambique, Malawi, Kenya, and Tanzania. The model has supported the start‐up of at least 17 small seed companies that are now introducing improved seed varieties into villages and farms. The DSS applies decision science research in a humanitarian application and offers important managerial implications about supply chain infrastructure to nongovernmental organizations and humanitarian groups. Such applications are vital as groups such as USAID, the Gates Foundation, and the International Crops Research Institute for the Semi‐Arid Tropics (ICRISAT) continue to move toward micro‐enterprise, value chain, and market‐oriented development programs.

Visit

doi.org

Licenses

http://onlinelibrary.wiley.com/termsAndConditions#vor

Similar

An agent-based Decision Support System for resources' scheduling in Emergency Supply ChainsIoT-enabled Real-time Water Quality Monitoring System for Sustainable Small-scale Aquaculture in Sub-Saharan AfricaDecision-Aware Learning for Optimizing Health Supply ChainsDecision Support System for Maternal Care Decision Support System for Maternal CareFostering the use of rainwater for small-scale irrigation in sub-Saharan AfricaRethinking Emission Modelling Approaches for Sub-Saharan Africas Complex Realities using Machine Learning Methods as a Decision Support System

An agent-based Decision Support System for resources' scheduling in Emergency Supply Chains

International audience We propose a multi-agent-based architecture for the management

IoT-enabled Real-time Water Quality Monitoring System for Sustainable Small-scale Aquaculture in Sub-Saharan Africa

Small-scale aquaculture in sub-Saharan Africa is significantly impacted by poor water quality, with

Decision-Aware Learning for Optimizing Health Supply Chains

We study the problem of allocating limited supply of medical resources in developing countries, in p

Decision Support System for Maternal Care Decision Support System for Maternal Care

This presents an anonymized maternal care dataset consisting of 5,000 anonymized records from 4 sele

Fostering the use of rainwater for small-scale irrigation in sub-Saharan Africa

Rethinking Emission Modelling Approaches for Sub-Saharan Africas Complex Realities using Machine Learning Methods as a Decision Support System

Sub-Saharan Africa contributes minimally to global greenhouse gas emissions yet faces rapidly growin