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    Identification of cost drivers

    Early Estimation of Manufacturing Costs in Mechanical Engineering

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    Product cost management starting from lot size 1

    Efficient product cost management to reduce manufacturing costs is a key success factor in mechanical engineering. FACTON EPC creates robust and comprehensible calculations that help enterprises win and retain new business.

    In mechanical and plant engineering, the challenge of lot size 1 is well known. To generate cost advantages, companies rely on modularization: Using functional components that can be repeatedly assembled into a customer- or country-specific variants, series can be produced with a higher repetition rate at reduced process costs. Higher purchasing volumes at lower purchase prices, as well as reduced one-off costs and a higher proportion of common parts, are advantages that must be exploited.

    Case Study: Hauni reliably calculates its product costs

    Better decisions based on benchmarks and cost analyses

    FACTON EPC Content support estimators, cost engineers, value analysts, and product and manufacturing controllers by providing them with a comprehensive standard parts database along with comprehensive benchmark data and global cost information for evaluating new purchased and manufactured parts. Companies work with current material prices, specific machine data, wage data, and select from industry- and company-specific overhead costs for more than 2,000 regions worldwide.

    Better decisions using benchmark data

    Best Practices

    Case Study: Bühler Motor

    Learn how Bühler Motor controls the cost of its electric drive solutions over the entire product lifecycle with FACTON EPC.

    Case Study: Bühler Motor

    White paper: The Path to a Profit-oriented Enterprise

    Learn more about active cost management with Enterprise Product Costing.

    White paper: The Path to a Profit-oriented Enterprise

    White paper: Should Costing

    Understand costing structures and identify optimization potential.

    White paper: Should Costing