Spatial Optimization
Vue3 Gantt chart with powerful Resource View for task scheduling and resource planning.
Primavera P6 Professional - Practical Windows release with complete modules and an easy first launch.
Using Genetic Algorithms to optimize the allocation of services or facilities to specific locations. The primary application of this project is in the context of Covid-19 vaccine center locations, aiming to strategically position vaccination facilities for efficient and widespread coverage.
Optimization-based project scheduling platform for resource allocation, workload balancing, and constraint-aware planning with AMPL, HiGHS, Python, and Streamlit.
A lightweight, visual resource planning tool with a GitHub-style allocation grid. Paint workloads, track capacity, and collaborate in real-time.
Optimal resource scheduling over a rolling horizon, powered by Google OR-Tools CP-SAT.
Application of Nonlinear Resource Utilization and Allocation Problem in Bicycle Resource Planning using Metaheuristic
Self-hosted production scheduling for manufacturing teams — one plan for the machines, people, and tools that run your jobs. Open-source (AGPL-3.0) community edition of Orkyo.
Deterministic scheduling engine for complex resource planning and availability computation in modern .NET systems.
FlowBoard generates self-contained HTML delivery dashboards from Jira data, with sprint health, capacity, epic progress, risk detection, blockers, dependencies, and what-if simulations.
Spatial Optimization
Turns a sales forecast into a day-by-day, DC-by-DC staffing and delivery plan.
End-to-end Medallion Architecture on Microsoft Fabric for tracking the U.S. government’s 2020 critical minerals: automated pipeline ingests raw CSVs into Lakehouse, PySpark builds a star schema, a lake-based semantic model with DAX & RLS delivers curated data, and Power BI dashboards visualize insights. Contributions welcome!
通用任务派单：人 / AI 混排的确定性排期引擎
ReceivingDB is a server-rendered progressive web application built with MongoDB, Express, Handlebars, and NodeJS meant to be extended and used as part of a more comprehensive open-source inventory management and resource planning implementation.
Machine learning for bike-demand forecasting and data-driven resource planning using Random Forest.
A secure Streamlit resource planning app with weekly and monthly task scheduling, Neon Postgres persistence, role-based user management, task-level audit trail, SMTP notifications, and capacity-demand analytics dashboards.
A local-first CLI and Codex skill that adds your tools, agents, subscriptions, and credits to Codex's planning context.
A data-driven COVID-19 vaccination demand forecasting project supporting healthcare resource planning and operational decision-making. The project analyzes vaccination data from Malard Health Network and applies time-series forecasting and machine learning methods to predict demand, improve vaccine allocation, optimize capacity, and reduce shortage
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