Supply chain concept implementation in Exonum
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Updated
Jun 19, 2018 - JavaScript
Supply chain concept implementation in Exonum
Supply Chain Management Workflow aimed at creating the Negotiation Process easier for Category Managers
Vrecover is a progressive web application built by team visa-please. It aims to help small business merchants in recovering from the COVID-19 Pandemic.
The described examples involve various smart contracts and classes used in the context of blockchain technology, generative art, and federated learning. Smart contracts are self-executing computer programs that can be used to automate processes, enforce rules, and create digital assets, among other things. In the case of tokenized generative art ..
A complete analysis of IIoT security threats
Transparent tracking and provenance of supply chain | Built using sign protocol | Scaling Ethereum Hackathon WINNER 🏆
This dApp facilitates tracking and verifying the provenance, authenticity, and quality of products throughout the supply chain.
python script to read component information for the research paper, "Aegis: A Framework to Detect Compromised Components in the Supply Chain of Information Technology Infrastructure."
Manage inventory with React. The project emphasis on passing data between components, handling errors and unexpected situations.
🛍️ Retailer-Supplier Chain Management System 🌐 A Java Servlet-based web application designed to streamline the operations of retailers and suppliers within the supply chain.
A project to assist in dependency resolution sandboxing, orchestration, and management of tooling environments.
About
The supply Chain is the network of production and logistics involved in producing and delivering goods to customers.
This repository contains code for a project on assessing various measles outbreak response vaccination strategies. The assessments will be done based on the logistical (cold chain) needs in terms of ice packs, freezing times for ice packs, and passive cold chain requirements for vaccination teams.
Supply Chain Analytics group project using QGIS and Tableau, along with U.S. Census and City of Detroit data to determine accessibility of polling locations via public transportation (DDOT bus).
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