Manufacturing Software | Data Science | Computer Vision | AI | Robotics | IOT
Justin Clay
Manufacturing is where the intersection of technology and business principles come together. I take manufacturing products & processes from concept to mass production.
Automating Manufacturing Since 2010
Since 2010, I’ve empowered manufacturing companies to rapidly build and deliver high-quality products and processes with efficiency. If you’re considering modernizing your manufacturing with robotics and software, let’s talk.
15+ Years of Advanced Manufacturing Engineering
From iPhones to electric motors, Ive seen almost every process there is.
Robotics, Hardware & Software
I bring expertise in all domains of Manufacturing Engineering (Electrical, Mechanical and Computer Science)
Leadership & Collaboration
I have lead multiple engineering teams to success, with a deep focus on collaboration and data driven decision making
Robotics and Motion Systems
Understanding how integrated mechanical and software systems in robotics deliver measurable financial outcomes – for better or worse – is the core of effective automation, not just motion control.
Addressing The Labor Shortage
Today’s manufacturing needs automation to boost efficiency and solve labor shortages. Strategically integrating robotics, AI, and advanced technologies allows manufacturers to:
- Increase output: Continuous operation for higher volume.
- Improve precision: Consistent quality, reduced errors.
- Enhance safety: Handling hazardous tasks.
- Reduce costs: Long-term savings through efficiency.
- Fill the labor gap: Automating repetitive tasks, freeing human roles.
Embracing automation is key for growth and overcoming labor challenges.
Key Questions To Think About
- Quality and Waste: How precisely will the robot’s repeatability (its ability to return to the same point) directly affect your product quality and ultimately contribute to scrap rates?
- Proactive Maintenance: What leading indicators should you monitor to detect when a robot’s repeatability begins to drift before it impacts production quality and generates scrap?
- Design for Efficiency: How can the inertial load of the tooling attached to the robot arm influence the machine’s accuracy and, consequently, the rate of rejected parts?
- Optimizing for Output: Surprisingly, can strategically reducing the robot’s speed in certain applications actually increase the overall productive output of the machine?
Data Systems Engineering
Too often, data applications lack a clear purpose, gathering information without connecting it to specific business goals or the bottom line. Data is nothing without context.
From Data to Dollars
Collecting the data is not enough, you need to have the context to be able to make better decisions. Understand how metrics like cp and cpk are costing you money.
- Quantify Impact: Convert raw numbers into tangible dollar values to understand the financial implications.
- Real-Time Awareness: Understand how manufacturing performance directly affects the business as it happens.
- Business Alignment: Identify the specific relationships between key metrics and overall business goals.
- Actionable Insights: Transform data into clear context that drives faster and more effective decisions.
Key Questions To Think About
- Cost of Poor Quality: How exactly does a Cp and Cpk value below target translate into tangible scrap loss in dollars for your business?
- Measurement System Variation: During a Gauge Repeatability and Reproducibility (GRR) study, the 10% guideline isn’t arbitrary. We explore why this benchmark is critical and, more importantly, how exceeding it directly impacts your bottom line in dollars.
- Hidden Costs of Drift: If your sensor baselines shift, leading to the production of non-conforming parts without immediate detection, what is the potential financial impact on your business, including rework, customer dissatisfaction, and lost revenue?
Projects Overview
Data Driven Problem Solving
“Manufacturing is complex, its nearly impossible to understand all of the variables that will affect the business. Therefore the only approach that works is one based on data and allows you the flexibility to pivot as we learn from the data.”
-Justin Clay
1. Problem Definition
Define your problem precisely at the start of every process: set constraints, explicitly exclude non-issues using available data, and from there, develop a strong business thesis.
2. Proof Of Concept (POC)
During the proof of concept (POC) phase we develop a method to test the thesis and empirically prove that a solution is feasible. POC's need to be lightweight and adaptable to changes as new data comes in.
3. Prototype Development
Launch your initial prototype in a controlled, offline environment, minimizing external variables. Once it's robust, replicate it strategically to ensure your design scales effectively.
4. Mass Production
With a validated solution design in hand, we move to strategic scaling. Efficient production ramp-up demands meticulous coordination across the entire supply chain, ensuring the quality of incoming materials, the readiness of personnel, and the optimal performance of machinery.
Key Skills
Process Optimization
Creating the optimal manufacturing process and identifying key areas of opportunity for capital investment.
Dispensing
Laser Weld/Solder/Etching
Force Control Systems
Torque Driving
Quality Inspection
Robotics & Software
Transform your manufacturing with a fully connected ecosystem, providing the real-time intelligence you need for decisive and effective execution.
MES and SCADA Integration
IOT | Industry 4.0
Data & Analytics
Robotics Programming
Computer Vision
Leadership
Possessing a broad range of engineering management experience, I have successfully led multiple engineering teams across several large-scale international manufacturing operations.
Engineering Management Experience
Experience with Asia/South America/US
Technical Project Management
Business Consulting
Justin Clay MBA, BSME
A Passion for Manufacturing
As an Advanced Manufacturing Engineer I have a deep understanding of the technical intricacies required to build high-performing manufacturing systems. I also bring significant leadership experience in effectively managing and collaborating within large teams.
-Justin Clay MBA, BSME
Years of Experience
Decades of experience in delivering exceptional projects.
Automation Projects Completed
Decades of experience in delivering exceptional projects.
Successful Product Launches
Decades of experience in delivering exceptional projects.
Testimonials
My commitment to success is reflected in their feedback.
Justin was a big help when he was at ABB. Justin knew the robotic technology inside and out. I was requesting a lot of help and Justin never made me feel as though every request was simple. He was knowledgeable and helped when he didn't need to help, I really appreciated that.
Justin is a very intelligent individual who has demonstrated his overall manufacturing and engineering knowledge. I have seen him not only work on but lead multiple manufacturing engineering projects that demonstrated his knowledge in not only manufacturing processes dealing with machining, assembly or test but being able to incorporate automation to these processes
I've known Justin for 11 years and have had the pleasure of working with him at ABB. He's one of the most reliable, innovative professionals I’ve met. Justin brings cutting-edge ideas to the table and consistently goes the extra mile to ensure work is done right, efficiently, and effectively. A robotic demo he created 11 years ago is still in use today because of its standout design and lasting impact. Justin’s work delivers long-term value and continues to raise the standard.
