supply-chain-analytics
There are 54 repositories under supply-chain-analytics topic.
guacsec/guac
GUAC aggregates software security metadata into a high fidelity graph database.
owasp-dep-scan/blint
BLint is a Binary Linter to check the security properties, and capabilities in your executables. Since v2, blint is also an SBOM generator for binaries.
hzjken/multimodal-transportation-optimization
A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.
samirsaci/picking-route
Improve Warehouse Productivity using Order Batching
ragamarkely/scanalytics
Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.
FerasBasha/Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning
Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management - Mémoire/Thesis; HEC Montréal.
ciol-researchlab/SupplyGraph
SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
aitechtools/SunFlow
A Python library to design & optimize Supply Chains
suriyaram38/Supply-Chain-Optimization-Using-Python
A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total lowest costs for satisfying consumer demand across all countries, based on various constraints. Data visualization is done and interactive widgets are used to compare different scenarios.
sattwiksuman/Supply-Chain-Analytics
Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
subhanjandas/Artificial-Neural-Networks-for-Fraud-Detection-in-Supply-Chain-Analytics-MLPClassifier-and-Keras
In this study, we aimed to detect fraudulent activities in the supply chain through the use of neural networks. The study focused on building two machine learning models using the MLPClassifier algorithm from the scikit-learn library and a custom neural network using the Keras library in Python.
yogihbti/warehouse_loc_determination
Shiny App for Warehouse location Determination
prs98/Backorders_Supply_Chain_Analysis
Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whether a given order gets cancelled or goes to back order.
saurabhnarwane/Supply-Chain-Analytics
Project based on business intelligence and visualisation for supply chain domain using Power BI and supply chain KPIs
log-hub/log-hub-python
The official Python library for the Log-hub API
dotanuki-labs/android-oss-cves-research
An analysis on open-source Android apps intended to learn if they are harmed by vulnerable dependencies 🔒
tpmarsha/FulfillmentCenter
Simulate operations of synthetic Amazon fulfillment center
Aviator10/Predictive-Model-for-choosing-correct-shipping-mode-Supply-chain-and-Logistic-Analytics
Build a predictive model to ascertain the correct shipping mode and choose the significant predictors wisely.
DNXEMPIRE-1/Supply-Chain-Management
supply Chain management and control
opensupplyhub/pyoshub
Python library to facilitate access to the https://opensupplyhub.org REST API
paulveillard/cybersecurity-secure-software-supplychain-lifecyle
An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Secure Software Supply Chain Lifecycle in Cybersecurity.
rajashree-n/SupplyChainDB
Supply Chain Database Management System to keep track and avoid collection of data from (Tableau is used to put together this data in proper way and visualize it)
abbas99-hub/Supply-Chain-Analytics
In this article, we explored a comprehensive supply chain analytics project, encompassing data extraction, ETL using Python, loading data into Snowflake, and creating an interactive dashboard with Power BI. By harnessing the power of ETL, Snowflake, and Power BI, businesses can unlock valuable insights from their supply chain data.
opensupplyhub/api
Documentation and tools for the API of opensupplyhub.org
naak-ktr/Data-Analysis-on-DataCo-Supply-Chain
An end-to-end data analytics project featuring supply chain data insights to derive actionable insights that can help optimize inventory management, improve delivery performance, and enhance overall efficiency in the supply chain process
raginisharma96/last_mile_connectivity
Problem Statement for Bounce Hackathon 1.0
sattwiksuman/Digital_Operations_and_Supply_Chain_Management
Includes Python scripts on different analysis useful in the field of Logistics and Supply Chain Management
Simontagbor/supply-chain-demand-forecast
forcasting customer demand using prophet
AbhiTyagi152/Artificial-Neural-Networks-for-Fraud-Detection-in-Supply-Chain-Analytics-MLPClassifier-and-Keras-
In this study, we aimed to detect fraudulent activities in the supply chain through the use of neural networks. The study focused on building two machine learning models using the MLPClassifier algorithm from the scikit-learn library and a custom neural network using the Keras library in Python.
heyamay/SQL-Supply-Chain-Analysis
This project uses SQL to analyze supply chain data, focusing on orders, cancellations, and customer trends. It includes datasets and queries to help understand how SQL can be applied to real-world supply chain problems.
ifm-mag/DOTES-Forging-Consolidation-2023
Exploitation of material consolidation trade-offs in multi-tier complex supply networks
kshitijtiwari1/Business-Analyst-Internship
Business Analyst Internship using Qlik Sense Software.
rsotry/BCP_and_ERP_in_a_pandemic_COVID-19
IT in SCM final paper discussing Business Continuity Planning (BCP) and Enterprise Resource Planning (ERP) during a pandemic, such as COVID-19, and their roles in creating a resilient supply chain.
sandesh-30/NexusAIOpt
This repository is a collaborative effort to compile, implement, and share solutions to a diverse range of problems in Operations Research (OR), Mathematical Optimization, Supply Chain Analytics, and Artificial Intelligence (AI). By gathering algorithms, ideas, and solutions from various sources—including original work, research papers, and books.