pysca's repositories
Inventory-Optimization
A model for inventory optimization for uncertain demands
Warehouse-optimization-problem
Choose the shipping method that saves the most cost.
AI_Supply_Chain
This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
pyTSP
A 2D/3D visualization of the Traveling Salesman Problem main heuristics
smart-defect-inspection
Simple python script for defect inspection( counting the number of pills during manufacturing)
HCVRP
Heterogeneous capacitated vehicle routing problem
Route-Optimization-for-place-pick-operation-in-warehouse
The repository contains my code for route optimization heuristics developed to solve the problem of routing for pick/place operations in a warehouse
coffee-quality-database
Building the Coffee Quality Institute Database
TSP_Animation
The source code for an animation of four algorithms trying to solve a traveling salesman problem
warehouse
Auto path optimization for different order
Supply-demand-forecasting
supply demmand gap prediction for ride-hailing
Warehouse-Allocation
Warehouse-space Allocation Optimization Algorithm
O2O-Coupon-Usage-Forecast
1st Place Solution for O2O Coupon Usage Forecast
Dynamic-Pricing
This machine learning model (deep and wide learning model) helps us to implement dynamic pricing feature of a supply chain business problem. This model uses tensorflow to solve the problem and can be structured accordingly to run efficiently on Google Cloud Platform.
cvrptw
Capacitated Vehicle Routing Problem with Time Windows (NP-Hard). Winner at ICHack 18.
online-retail-case
Studying Online Retail Dataset and getting insights from it
tianchi-IMQF
Intelligent Manufacturing Quality Forecast
VehicleRoutingProblem
Solved using AI techniques: Savings, Sweep, Genetic Algorithm, Google OR Tools
Warehouse-location-and-optimization-Case-Study-Using-Gurobi-and-python-
In this the overall problem is solved using python and Gurobi.
RetailReplenishement
CRP Code
kaggle_mercedes
The 11th place solution of Mercedes-Benz Greener Manufacturing competition on Kaggle
Clustering-Analysis-on-customers-of-a-wholesale-distributor
Project in which unsupervised learning techniques are applied on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal to identify customer segments hidden in the data.
rossmann_TSA_forecasts
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
Multidimensional-LSTM-BitCoin-Time-Series
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
CaiNiao-DemandForecast-StoragePlaning
1st Place Season one & 6th Place Season two
Supplier-Selection-for-Baskets-of-Goods
What suppliers have my "hard to find" parts? What suppliers have of most of the parts that I need? Is it worth shopping? When putting together "kits" used to build electronic products, these are some of the questions I answer. A web scraping, data harvesting, SQL function, SQL stored procedure, Excel VBA and batch process based system managed to save about 20% or $2000, for example, on occasional purchase of a basket of 60 items of various quantities. This repository holds code that implements the system using python.
deeptravel
:car: Solving Traveling Salesman Problem (TSP) using Deep Learning