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    Case Study
    4 min read

    Three Sigma Technologies: Revolutionizing Production Scheduling with Skody AI APS

    How an aerospace CNC shop cut scheduling from 4 days to seconds and extended planning from 1 week to 1 year.

    RESULTSKey Outcomes

    15%
    reduction in production delays
    4d → sec
    scheduling time reduced
    1w → 1yr
    planning horizon extended
    resource utilization improved

    Implementation Goals

    Three Sigma aimed to address critical challenges in its production process by implementing Skody AI APS, with the following objectives:

    • Reduce production delays by optimizing scheduling
    • Adapt schedules dynamically to account for machine availability, employee downtime and material delays
    • Streamline production planning processes for greater efficiency
    • Replace Excel-based scheduling with a more advanced, automated easy to use tool

    The Challenge: Inefficient Excel-Based Scheduling

    Three Sigma's complex production processes required sophisticated scheduling solutions. Initially, the company relied on Excel, which, while functional as a spreadsheet, fell short for advanced production planning.

    The lack of a standardized scheduling approach led to inconsistent project quotes and deliverables. Newer team members struggled to produce reliable estimates, relying heavily on the intuition of senior staff. This dependence on tribal knowledge created bottlenecks, single points of failure, and inefficiencies in the scheduling workflow.

    Why Scheduling Wasn't the Sole Objective

    While replacing Excel was necessary, the primary goal was to meet the aerospace industry's demanding requirements and customer expectations. Beyond reducing inventory, Three Sigma needed to align production schedules with material availability.

    Working with suppliers serving aerospace industry giants, the company faced frequent component delays, which disrupted production. Previously, creating a production schedule took four days, and any delay in material delivery or machine availability required restarting the process, causing further delays and underutilized machine capacity.

    Phased Implementation for Maximum Impact

    To maximize efficiency, Three Sigma implemented Skody AI APS in a single production section — focusing on CNC machining, where component availability issues had the greatest impact on costs.

    The initial outcomes were transformative: the scheduling process, once taking three to four days, was reduced to just two hours. Schedules are now generated in seconds, allowing employees to analyze resource availability and utilization within the two-hour window, significantly boosting operational efficiency.

    Measurable Results

    Reduced Scheduling Time and Inventory

    Scheduling time dropped from days to hours, and inventory levels decreased by 15%.

    ERP Integration for Real-Time Accuracy

    Integration with the ERP system enables dynamic, real-time communication, eliminating double entries and reducing errors.

    Enhanced Flexibility

    Real-time scheduling optimized for CNC constraints enables rapid adjustments to material delays or rush orders.

    Synchronized Production

    The system aligns production with raw material deliveries and maintains optimal semi-finished product stocks.

    Extended Planning Horizon

    Planning now covers three weeks instead of one, improving resource utilization through strategies like programming alternative CNC lines.

    Improved Communication

    Skody's integrated messaging system replaced physical sticky notes, allowing operators to leave detailed notes for each production run, ensuring seamless information sharing across shifts.

    "Skody AI APS has revolutionized our scheduling, giving us unmatched flexibility with our customers. We no longer need to lock in schedules for four weeks, telling clients, 'We'd love to take your order, but you'll have to wait due to fixed lead times.' With Skody AI, we've extended our planning horizon to one year and drastically reduced the schedule freeze period, enabling us to respond dynamically to customer needs."

    — Ken Frenkel, CEO of Three Sigma Technologies (Kent, WA)

    Ready for Your Own Transformation?

    See how Skody AI can deliver similar results for your shop — with your actual jobs, machines, and constraints.

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