MCP For Claude Marketplace
Lead Time Analyzer

Lead Time Analyzer MCP Connector for Claude

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Analyze and decompose supply chain lead times to identify bottlenecks.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

The Lead Time Analyzer is a specialized tool for supply chain professionals. It decomposes total lead time into specific stages, allowing you to distinguish between Value-Added and Non-Value-Added time. By using tools like analyze_lead_time_composition, you can identify the primary bottleneck in your process. Additionally, calculate_reduction_impacts allows you to simulate a 20% reduction in any stage to see its effect on the total duration, while evaluate_process_volatility helps you understand which stages contribute most to process uncertainty.

lead-timebottleneckoptimizationmanufacturinglogistics-analysis

3 tools expose this connector's capabilities to your AI agent.

analyze_lead_time_composition

Calculates the core metrics of the lead time breakdown

calculate_reduction_impacts

Simulates efficiency gains by optimizing specific stages

evaluate_process_volatility

Determines which stages contribute most to the unpredictability of the total lead time

See how to talk to your AI agent using Lead Time Analyzer.

Analyze my lead time: Order Processing is 2h, Production/Picking is 5h, Transport is 10h, Receiving is 3h, and Inspection is 2h.

The total lead time is 22 hours. The bottleneck stage is Transport (10h). Value-Added time is 5h, and Non-Value-Added time is 17h.

What happens to my total lead time if I reduce the Transport stage by 20%?

If you reduce the Transport stage from 10h to 8h, your new total lead time will be 20 hours, resulting in a reduction of 2 hours.

Which stage contributes most to the variability of my process? (Deviations: Order Processing: 0.5, Production/Picking: 1, Transport: 3, Receiving: 0.2, Inspection: 0.1)

The stage contributing most to the process volatility is Transport.

Use the `analyze_lead_time_composition` tool. It will return the `bottleneckStage`, which is the stage with the highest duration.

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