capacity-management

An Azure Logic App that manages capacity based alert rules and automatically increases volume sizes to prevent your Azure NetApp Files volumes from running out of space.

Effectively addressing Resource sizing, Resource Operation Timings, Security Policies, and Discount Recommendations by using cloud-native AI-based intelligent recommendations

Custom Amazon Aurora Auto Scaling solution using AWS Lambda and EventBridge that extends native Aurora auto-scaling capabilities. Automatically provisions reader instances across multiple AZs and instance types during capacity constraints, with intelligent scale-down based on CPU utilization.

This project introduces an innovative parking management system driven by the STM32F401VE microcontroller. Experience efficient, hassle-free parking with real-time monitoring and smart features.

Design and implement monitoring and evaluation frameworks. Measure and report on the impact of programs.

Early Slip Predictor focused on identifying early indicators of delivery slippage by analysing capacity pressure and task behaviour across work centres. Using simple machine‑learning techniques and clear capacity metrics, the team demonstrated how likely future slip can be predicted early and translated into understandable risk signals.

Workshop capacity management system with waitlist automation

This project solves the capacity optimization problem in surgical operating rooms.

Free & Open Source, Capacity Planning & Management Software, in a Complete Virtual Machine

Parade is an AI-powered capacity-management and carrier-access platform for freight brokers. It layers on top of a broker's existing Transportation Management System (TMS) and load boards to surface truck availability, syndicate loads to third-party loadboards and carriers, and digitally transact quotes and bookings.

Streamlit application for workforce optimization. Compares dual staffing models, simulates overtime cost exposures, and calculates census-driven breakeven points.

Pulumi component for launching EC2 instances with automatic fallback across instance types and availability zones on capacity errors (InsufficientInstanceCapacity)

SIGNAL delivered SIGNAL (Schedule Intelligence and Guidance for Noticing At‑Risk Lines), a production‑ready data enhancement and alerting engine that turns raw schedule and capacity data into early‑warning signals. The solution enriches datasets with drift metrics, risk scores, behaviour archetypes and plain‑English recommendations, read...

Delivery Risk Classifier explored predictive classification to identify tasks likely to complete late, focusing on understanding the limits of snapshot‑based delivery data and how modelling could still provide early warning signals. The team combined exploratory modelling with clear recommendations on how delivery datasets need to evolve to su...

Stores capacity data in a Db and generates capacity charts according to selected data set in selected time range. Overall data preview for better look for company history.

LeanTaaS is a healthcare capacity-management software company founded in 2010 and headquartered in Santa Clara, California. Its iQueue product line applies lean principles and predictive and prescriptive machine learning to hospital operations, helping health systems raise utilization of assets they already own — operating rooms, infusion chairs…

Design & implementation Train Consist Management System to solve real-world railway operations challenges using Java

Delivery Confidence Radar built an early‑warning Delivery Confidence Radar that integrates activity and capacity data to surface instability, pressure and likely slippage before dates move. The solution emphasises explainable signals and a clear ‘what’s at risk, why, and where to intervene’ structure suitable for planners and senior lead...