Industry Framework
Global Mold Management Maturity Model
A framework for understanding where your organization stands in tooling management maturity — and what capabilities are needed to advance from reactive, experience-based decisions toward measured, predictive, continuously improving mold management.
The Concept
Most organizations managing significant production tooling portfolios face the same fundamental challenge: tooling management decisions are driven by experience and reaction rather than by measurement and prediction. The maturity model describes a progression from this reactive state toward a state where tooling management is data-driven, predictive, and continuously improving.
Advancing through the levels requires building specific capabilities — not just process documentation, but the data systems, governance structures, and analytical capabilities needed to manage tooling as a strategic asset rather than a recurring expense.
Common Challenges in Global Tooling Portfolios
- →Large numbers of molds across multiple suppliers and converters
- →Limited visibility into asset condition and location
- →Reactive maintenance leading to unplanned downtime
- →Difficulty prioritizing CAPEX and OPEX investment across the portfolio
- →Distributed global supply base with inconsistent tooling management practices
- →No systematic framework for measuring and improving tooling management maturity
The Five Maturity Levels
Level 1
Unpredictable, Poorly Controlled & Reactive
Tooling management is ad hoc. Problems are addressed only when they cause production disruptions. There is little formal tracking, and knowledge resides with individuals rather than systems.
Level 2
Reactive & Managed Processes, Repeatable
Basic processes are documented and repeatable. Tooling is tracked, but management remains largely reactive — issues are addressed more systematically but still after the fact.
Level 3
Defined Processes, Proactive
Tooling management processes are formally defined, standardized, and proactively applied across the organization. Maintenance shifts from reactive to preventive.
Level 4
Processes are Measured, Predictive
Tooling management is data-driven and measured. Condition data is used to predict failures and plan interventions before they disrupt production.
Level 5
Continuous Improvement, Autonomous
Tooling management is continuously improving. Predictive capabilities are mature, and the organization systematically learns from data to optimize the entire tooling lifecycle.
Self-Assessment — Coming Soon
A structured self-assessment tool is being developed to help organizations evaluate their current maturity level across capability areas including asset visibility, governance, maintenance, qualification, lifecycle planning, and data systems.
The assessment will be usable anonymously. You will receive useful results without providing any identifying information. A optional detailed report will be available for those who wish to discuss their results with our team.