Case Study

    Three Sigma Technologies: Revolutionizing Production Scheduling with Skody AI APS

    How a precision aerospace manufacturer transformed their operations from Excel chaos to AI-powered efficiency.

    Aerospace Industry
    Precision Machining
    Kent, WA

    15%

    Reduction in production delays

    Days → Seconds

    Scheduling time

    1 Week → 1 Year

    Planning horizon

    15%

    Decrease in inventory levels

    About Three Sigma Technologies

    Based in Kent, Washington, Three Sigma Technologies specializes in precision machining and component manufacturing for the aerospace industry. Working with suppliers serving aerospace industry giants, the company operates in a demanding environment where meeting customer expectations is paramount.

    The company's complex production processes required sophisticated scheduling solutions to align production schedules with material availability and reduce inventory while maintaining the highest quality standards.

    Implementation Goals

    • Reduce production delays by optimizing scheduling
    • Adapt schedules dynamically to machine availability and material delays
    • Streamline production planning for greater efficiency
    • Replace Excel-based scheduling with automated tooling

    The Challenge: Inefficient Excel-Based Scheduling

    Three Sigma's complex production processes initially relied on Excel, which fell short for advanced production planning. The lack of a standardized scheduling approach led to inconsistent project quotes. Newer team members struggled to produce reliable estimates, relying heavily on the intuition of senior staff—creating bottlenecks and single points of failure.

    Reliance on inefficient, Excel-based scheduling

    Inconsistent project quotes and deliverables

    Heavy dependence on 'tribal knowledge' of senior staff

    Four-day turnaround for production plans

    Frequent material delays from aerospace suppliers

    Physical 'sticky' notes for operator communication

    The Solution: Skody AI APS

    To maximize efficiency, Three Sigma implemented Skody AI APS in a phased approach, focusing first on precision machining where component availability issues had the greatest impact on costs.

    Reduced Scheduling Time

    Scheduling time dropped from 3-4 days to just seconds, with analysis completed within 2 hours.

    15% Inventory Reduction

    Optimized scheduling led to a 15% decrease in inventory levels.

    ERP Integration

    Real-time data accuracy through dynamic ERP integration, eliminating double entries.

    Extended Planning Horizon

    Planning now covers up to 1 year instead of just 1 week, improving resource utilization.

    Improved Communication

    Replaced physical sticky notes with integrated messaging for seamless shift handoffs.

    Enhanced Flexibility

    Real-time scheduling enables rapid adjustments to material delays or rush orders.

    Ken Frenkel
    "Skody AI APS has transformed how we approach production scheduling. What used to take days now takes seconds, and we can plan months ahead instead of just a week. The impact on our operations has been remarkable."

    Ken Frenkel

    CEO, Three Sigma Technologies

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