We started the discussion on design reuse. The design team and its leader understood the context of the problem through joint reviews and discussion. Actions taken:

• Modularize all new designs

• Tag them with consistent feature and naming conventions

• Document configurations so variants could be easily understood

To ensure consistency and enable scale, we aligned tagging conventions with part feature, function, and interface fit. This made it easier to navigate the design library when seeking a component with similar constraints.

My observation: Engineers value creativity, rigor in design and dislike documentation and this change initially met with some resistance. Leadership positioned designs as long-lived assets, and their reuse directly showcased how impactful the engineers' work is in driving both throughput, quality and customer experience. We defined ‘reuse’ as sub-assembly reused with less than 10% design change. This let design leaders track module lineage across projects and identify which designs were repeatedly customized. Within six months, over 20% of common design tasks were being fulfilled using existing asset configurations. Key metrics tracked: 

• % increase in part library reuse

• % of SKU reduction for inventory management

Digital Enablers for Reuse  

Design reuse requires more than policy. It requires digital tools and CAD & ERP data hygiene. What it looked like for us:

• Engineering Asset Libraries with searchable metadata, images, and part lineage

• Simple product digital twins, models that simulate product configurations, helped us pre-check fitment, compatibility and interface of reused modules.

These digital enablers also provided early visibility into feasibility, and surfaced interference or manufacturability challenges that had already been resolved elsewhere in the system.

Now, tagging Assistants that auto-categorize designs based on shape, performance, or project history are available, but we did not get to use them.

What does Governance look like?  

It requires and collaboration across departments:

• Role Clarity: Who curates the design library? Who approves new modules?

• Documentation Standards: What constitutes a “reuse-ready” design?

• Reuse Metrics: How often is a design reused? By which teams? In what context?

• Design Reviews: Periodic audits to identify reuse candidates and archive legacy variants

Incentives also matter. Tracking reuse can help showcase engineering effectiveness and free up cycles for new product innovation. In our case, reuse champions emerged organically. 

This past week, I participated in RIT's National Council for College of Engineering Technology. The discussions with industry leaders and faculty highlighted a genuine urgency: we must prepare students—and the workforce they will soon join—for the demands of evolving industries. That urgency is equally pressing for today’s manufacturers.

 Last week, I was in a conversation with two industry veterans—strategic leaders who have been in the thick of digitization and delivered across industrial verticals. We debated why manufacturers delay digitization. The answer: most leaders are immersed in daily firefighting and cost control rather than planning for the capabilities they will need 12 to 18 months from now. We agreed on this: manufacturers need an expert such as Chief Digital Officer (fractional or full-time) to create visibility, build capabilities, and set a roadmap for capacity and workforce evolution.

 When I first started driving in the United States, I began with the fundamentals. I drove without assistance features until I became familiar with the vehicle. Then I enabled cruise control. With time, I progressed to adaptive cruise control, auto-pilot, and eventually to full self-driving capabilities. At each stage, I built trust with the system, understood the limits, and decided when to intervene. I became the human in the loop—confident, aware, and in control.

Manufacturers should approach technology adoption in the same way. You do not need to start with a fully automated factory. Begin with the digital capabilities already available to you. Use them to expose bottlenecks, reduce decision latency, and coordinate more effectively. Each incremental capability builds visibility, which builds confidence, which unlocks capacity. Transformation is not a leap. It is a series of decisions that improve performance without losing control.

In my earlier post, “Delay Tax in Manufacturing,” I highlighted how deferring action on technology investment quietly erodes value. This post shifts from concept to execution. It is not about sweeping transformation. It is about targeted, low-cost, incremental moves that give original equipment manufacturers (OEMs) and original design manufacturers (ODMs) the visibility they need to improve throughput and utilization—especially in engineer-to-order and complex build environments.

Let's call this delay-driven loss: the compounding effect of quoting delays, rework from unclear design changes, idle assembly bays, or missed procurement windows that quietly drain margin and delivery reliability. Below, we define this loss more clearly, offer a framework to measure it, and share a practical, low-overhead workflow tailored to capital equipment OEMs aiming to reclaim ten percent of lost capacity.

1. 1. Structured Logging
      Capture key events: ECO releases, test station status, bay turnover time, part shortages.

   2. Visual Dashboards
      Use analytics to surface trends—stage delays, variation by build type, common failure points.

   3. Root Cause and Variability Analysis
      Use Pareto charts and delay categorizations to isolate repeated causes of bottlenecks.

   4. Alerts and Triggers
      Set alerts for delays exceeding threshold or stalled hand-offs. Signal integration risks early.

   5. Predictive Coordination
      Use trend data to pre-stage kits, reroute resources, and estimate impact of new builds.

   Conclusion  

   Especially n capital equipment OEMs and ODMs, delay-driven loss appears every day: a bay that is idle, every design that is revised post-release, each commissioning that feels like new, every warranty call due to user experience, and every opportunity that is lost to more agile competitors. Visibility is the foundation for timely decisions, smoother coordination, and higher throughput.

   By starting small, digitizing what matters most, and pairing it with lightweight analytics tools, manufacturers can build decision intelligence without fully overhauling their systems. You do not need full automation to gain measurable ROI. You need clarity.

   Call to Action  

   Let us help you uncover where delay-driven loss is hiding in your operations—and build a 90-day roadmap to reclaim ten percent of lost capacity using a visibility-first, intelligence-driven approach.

A mid-market electronics manufacturer conducts a MTBS review and discovers that its low maturity in equipment connectivity was inflating maintenance costs and extending lead times. By investing in a targeted machine connectivity and analytics project first, rather than jumping straight into a full MES implementation, the company reduced downtime by 18 percent, improved delivery performance, and built the operational foundation needed for future MES deployment and its successful adoption.

Practical Actions for Manufacturing Leaders  

• Treat mfg technology readiness as a measurable asset, not an abstract concept.

• Lean on cross-functional teams that include finance, operations, and IT in maturity assessments in recommendations.

• Use MTBS outputs to challenge assumptions about which projects deliver the fastest and most sustainable ROI.

• Ensure every boardroom discussion on capital investment includes a technology readiness context.

Conclusion  

The Manufacturing Technology Balance Sheet is more than an operations tool. It is a bridge between the language of machines and the language of money. By translating digital readiness into financial terms, manufacturing leaders can secure boardroom alignment, prioritize high-value projects, and ensure that every dollar invested accelerates both operational performance and long-term profitability.

Call to Action: Schedule an MTBS-to-financial linkage review for your organization, where operational maturity gaps are mapped directly to financial outcomes and capital allocation priorities. Position this as a decision-support step before the next budget cycle.