job-shop-scheduling

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A benchmarking repo with various solution methods to various machine scheduling problems

Solve scheduling problems with constraint programming in Python.

A modular Python library for creating, solving, and visualizing job shop scheduling problems.

A repository with a data set including instances and results from literature for the Job Shop Scheduling Problem (JSSP). While the raw data is provided as text files, it is also compiled in an R package with an API around it.

An end to end reinforcement learning approach with a reinforcement learning environment modeled as a CP model

A Python library for implementing and testing algorithm for Job-Shop Scheduling problem.

A Gymnasium Environment for the Job Shop Problem Using the Disjunctive Graph Approach.

Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).

Implementation of job-shop scheduling problem using C#.

Constraint Satisfaction Problem (CSP) Solver

⚙️ Effortless and efficient task scheduling tailored for production, built with numpy.

Job scheduling with deadlines using quantum annealing

Metaheuristic- and RL-powered production scheduling & optimization toolkit in Python

Job Shop Scheduling Problem benchmark instances from http://jobshop.jjvh.nl/ and some utility functions to work with JSP instances.