====================================================================== CNC Cost-Per-Part Breakdown Dashboard (Power BI) ====================================================================== DEFINITION ---------------------------------------- The CNC Cost-Per-Part Breakdown Dashboard (Power BI) is a dynamic, interactive analytics tool that visualizes and decomposes the total cost of manufacturing a single machined part using CNC equipment. It integrates operational data—such as machine time, labor, material, tooling, overhead, and setup—to allocate costs transparently across cost drivers. Designed for manufacturing engineers and finance stakeholders, it enables real-time margin analysis, cost sensitivity testing, and continuous process improvement. OVERVIEW ---------------------------------------- This dashboard leverages Power BI’s data modeling and visualization capabilities to transform raw shop-floor data (e.g., CNC cycle times from MTConnect or MES systems, ERP bill-of-materials, labor rates, depreciation schedules) into actionable cost intelligence. At its core lies a granular cost allocation model: direct costs (material, cutting tools, coolant) are traced per part, while indirect costs (machine depreciation, facility overhead, supervision) are apportioned using activity-based costing (ABC) or time-driven ABC principles. The dashboard supports drill-down functionality—from program-level (e.g., G-code run) to feature-level (e.g., facing vs. drilling) costing—enabling root-cause identification of cost outliers. Furthermore, it incorporates scenario modeling (e.g., 'What if we switch to carbide inserts?' or 'How does batch size affect unit cost?') by parameterizing variables like tool life, feed rate, or labor utilization, thereby bridging engineering decisions with financial impact. Integration with live IoT telemetry (e.g., spindle load, tool wear sensors) allows predictive cost adjustments, making the dashboard not just retrospective but forward-looking for quoting accuracy and capacity planning. KEY COMPONENTS ---------------------------------------- 1. Cost Allocation Engine (Time-Driven ABC Model) 2. Interactive Visualizations (Stacked Cost Waterfall, Drillable Part-Level Tree Map, Machine Utilization Heatmap) 3. Parameterized Scenario Simulator (Sliders for Batch Size, Labor Rate, Tool Life, Material Cost) APPLICATIONS ---------------------------------------- - Accurate RFQ and job quoting for custom CNC work - Identifying non-value-added cost drivers in multi-operation parts - Benchmarking cost performance across machines, operators, or part families KEY FORMULAS ---------------------------------------- Total Cost Per Part: Material Cost + (Machining Time × Machine Hourly Rate) + (Labor Time × Labor Hourly Rate) + (Tool Consumption × Tool Cost per Edge) + (Overhead Allocation) -> Aggregates all direct and allocated indirect costs attributable to one finished part. Machine Hourly Rate: (Annual Depreciation + Maintenance + Energy + Facility Overhead) ÷ (Available Hours × Uptime %) -> Calculates the fully burdened cost to operate a CNC machine for one hour. Tool Cost Per Edge: Tool Purchase Price ÷ (Number of Edges × Expected Edges per Tool Life) -> Distributes tooling cost across usable cutting edges, enabling precise per-part tool consumption accounting. RELATED CONCEPTS ---------------------------------------- - Activity-Based Costing (ABC) - CNC Cycle Time Optimization - Digital Twin for Manufacturing REFERENCES ---------------------------------------- Cost Accounting for CNC Machining: A Practical Guide (https://www.machinistblog.com/cost-accounting-cnc) Power BI for Manufacturing Analytics – Microsoft Industry Solutions (https://learn.microsoft.com/en-us/power-bi/industry/manufacturing/) MTConnect Integration for Real-Time CNC Cost Tracking (https://mtconnect.org/resources) TAGS ---------------------------------------- CNC machining, cost accounting, Power BI dashboard