Komugi provides a charge‑capacity planning software for small and medium‑size industrial manufacturers, enabling automatic bottleneck detection and capacity balancing. The platform lets users simulate production, procurement, and outsourcing scenarios to evaluate impacts on revenue, costs, and on‑time delivery. It also offers data structuring tools and optional external PIC‑PDP planner support to quickly achieve measurable capacity gains.
Funding
$1.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Small and medium-sized industrial manufacturers often struggle with balancing load capacity, leading to production bottlenecks and delays in order fulfillment. Traditional methods, such as spreadsheets, lack real-time visibility and the ability to quickly adjust to changing production demands. This can result in missed deadlines, reduced operational efficiency, and decreased profitability.
Solution
Komugi provides an Advanced Planning and Scheduling (APS) solution designed to optimize load-capacity balancing for small and medium-sized industrial manufacturers. The platform offers real-time visibility into production schedules, enabling businesses to anticipate bottlenecks, manage resource allocation, and ensure timely order fulfillment. By considering factors such as component availability, subcontracting lead times, and machine and employee capacity, Komugi facilitates finite capacity planning across the PIC-PDP horizon. Users can compare different production scenarios based on key performance indicators (KPIs) like revenue, margin, on-time delivery (OTD), and inventory value. The software integrates with existing ERP and MES systems to translate operational data into actionable financial forecasts, enabling proactive decision-making and improved overall equipment effectiveness (OEE).
Target Audience
Komugi targets small and medium-sized industrial manufacturers in sectors such as aerospace, defense, energy, and medical devices, particularly those with small to medium production runs and discrete manufacturing processes.
Features
- Finite capacity planning that considers component availability and subcontracting lead times
- Scenario comparison based on KPIs such as revenue, margin, OTD, and inventory value
- Real-time visibility into production schedules to anticipate bottlenecks
- Integration with existing ERP and MES systems for data synchronization
- Multi-level analysis from workstation to factory, across the PIC-PDP horizon
- Automated prioritization based on deadlines and customer urgency
- Component and skill verification before scheduling to minimize downtime
- Web-based interface (SaaS) accessible from any device