supply-chain-analytics
There are 50 repositories under supply-chain-analytics topic.
- Language:Go 1187
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.
Language:Python 276hzjken / multimodal-transportation-optimization
A project on using mathematical programming to solve multi-modal transportation cost minimization in goods delivery and supply chain management.
Language:Python 214samirsaci / picking-route
Improve Warehouse Productivity using Order Batching
Language:Python 83ragamarkely / scanalytics
Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.
Language:Python 63- Forecasting-Retail-Sales-Using-Google-Trends-and-Machine-Learning
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.
Language:Jupyter Notebook 36 aitechtools / SunFlow
A Python library to design & optimize Supply Chains
Language:Python 22sattwiksuman / Supply-Chain-Analytics
Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
Language:Python 17- SupplyGraph
CIOL-SUST / SupplyGraph
A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
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.
Language:Jupyter Notebook 13prs98 / 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.
Language:Jupyter Notebook 12yogihbti / warehouse_loc_determination
Shiny App for Warehouse location Determination
Language:R 11log-hub / log-hub-python
The official Python library for the Log-hub API
Language:Python 9dotanuki-labs / android-oss-cves-research
An analysis on open-source Android apps intended to learn if they are harmed by vulnerable dependencies 🔒
Language:Shell 8subhanjandas / 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.
Language:Jupyter Notebook 6SN11112001 / Supply-Chain-Analytics
Project based on business intelligence and visualisation for supply chain domain using Power BI and supply chain KPIs
tpmarsha / FulfillmentCenter
Simulate operations of synthetic Amazon fulfillment center
Language:Python 5Aviator10 / 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.
Language:R 4DNXEMPIRE-1 / Supply-Chain-Management
supply Chain management and control
Language:PHP 3- api
opensupplyhub / api
Documentation and tools for the API of opensupplyhub.org
Language:Jupyter Notebook 3 - pyoshub
Python library to facilitate access to the https://opensupplyhub.org REST API
Language:Python 3 raginisharma96 / last_mile_connectivity
Problem Statement for Bounce Hackathon 1.0
Language:Jupyter Notebook 3- SupplyChainDB
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)
Language:PLSQL 3 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.
Language:PowerShell 2paulveillard / 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.
Includes Python scripts on different analysis useful in the field of Logistics and Supply Chain Management
Language:Jupyter Notebook 2AbhiTyagi152 / 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.
Language:Jupyter Notebook 1ifm-mag / DOTES-Forging-Consolidation-2023
Exploitation of material consolidation trade-offs in multi-tier complex supply networks
Language:Python 1naak-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
Language:Jupyter Notebook 1rsotry / 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.
Simontagbor / supply-chain-demand-forecast
forcasting customer demand using prophet
Language:Jupyter Notebook 1Manikantanaidu1729 / Business-Insights-360-of-AtliQ-Hardware
This project is done as part of Codebasics Data Analyst Bootcamp
0annareddy1 / Global-Supply-Chain_Sentiment-Analysis
The global supply chain is a crucial driver of the world economy, enabling the movement of goods and services worldwide and directly impacting economic growth. Analyzing sentiment surrounding the global supply chain in March 2024 reveals whether it's positive or negative, offering insights into improvements and disruptions.
Language:Pythonsahaavi / Supply-Chain-Analytics-in-Tableau
DataCamp Competition
Language:Jupyter Notebook
