CASE STUDY SS-AD-DG-01 | Diagnostic Assessment

Flat Cable Technology Manufacturer Diagnostic Assesment

Driving Flow, Productivity, and EBITDA Growth

Aerospace & Defense | Diagnostic Assessment
$500K–$1.2M
Annual EBITDA Improvement Potential Identified
Scalable
Operational Model Positioned for Growth & Margin Expansion
-40%
Reduction in Lead Times Through Flow Optimization

Challenge

Inefficient material flow, excessive WIP, and lack of visual management or standardized systems limited productivity, consistency, and collaboration across operations.

  • Excessive WIP and long lead times due to poor material flow and multiple handoffs.
  • Limited visual management and minimal Lean adoption, making abnormalities hard to identify.
  • Reliance on on-the-job training without formalized work instructions, impacting consistency.
  • Lack of a structured daily management system, clear KPIs, and performance tracking.
  • Functional silos between manufacturing, QA, and engineering, reducing cross-team collaboration.

Solution

Delta Driver performed a full diagnostic assessment, built a Lean roadmap, and implemented model cells, KPIs, 5S, and daily management systems to drive control and flow. Conducted a comprehensive diagnostic assessment to identify throughput, quality, and scalability opportunities. Built a Lean transformation roadmap focused on productivity, flow, and operational control:

  • Designed model product cells to reduce handoffs from eight to three and cut part travel from 656 ft to ~20 ft.
  • Introduced visual management systems including SQDC boards, KPI dashboards, and real-time performance tracking.
  • Implemented progressive 5S to improve workplace organization, safety, and flow visibility.
  • Developed standardized work instructions and training programs to improve operator consistency and onboarding.
  • Established a tiered daily management system (MDI) with leader standard work, collaborative problem-solving, and clear accountability.

Results

Unlocked $500K–$1.2M in EBITDA potential, reduced lead times by up to 40%, and positioned the company for scalable, data-driven growth and improved margins.

  • Identified $500K–$1.2M in annual EBITDA improvement potential through Lean-driven productivity, reduced lead times, and WIP optimization.
  • Provided pathway to reduce lead times by up to 40% and improved throughput using model product cells.
  • Outlined needed visual controls and KPIs to make performance and issues transparent in real time.
  • Positioned the company for scalable growth, improved margins, and enhanced operational resilience.