This module addresses the critical need of manufacturing practitioners and executives to understand the power of real-time decisions for manufacturing operations metrics before and after linking them to financial and business level metrics. Learners better understand the differences between the various types of metrics.
Approaching the link between operations and financial metrics can be from both ends. The Vollman decomposition is applied to construct metrics models from an operations perspective. Examples introduced are the Three Layered Model and the Metrics Construction process, published in the MESA Metrics Guidebook (2nd edition).
Cost Accounting approaches such as Grenz Plan Kostenrechnung (GPK), Activity based Costing (ABC) and Resource Consumption Accounting (RCA) start from the financial perspective.

While metrics approaches are reactive, analytics focus on continuous improvement. Application of Machine Learning, a subset of Artificial Intelligence, can help manufacturers to improved decision making in complex situations.

  • Recognize the increased decision-making capabilities of mapping operations metrics to financial and business metrics
  • Explain the different types of metrics from different business levels and how they influence one another for effective optimization of the business processes
  • Describe the Vollman decomposition as a tool to create a metrics framework
  • Recognize cost accounting approaches
  • Describe the differences between metrics and analytics
  • Identify the basic elements of data analytics and Machine Learning
  • Introduction
  • Metrics Do Matter
  • The Great Divide: Operations and Finance
  • Metrics Models
  • Cost Accounting Approaches
  • Analytics
  • Machine Learning
  • Conclusions and Wrap-up