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NPI: A How To Guide for Engineers & Their Leaders
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Leading from the Front
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Marcel Tremblay: The Olympic Mindset & Engineering Leadership
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Anurag Gupta: Framework to Accelerate NPI
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Kyle Wiens on Why Design Repairability is Good for Business
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Nathan Ackerman on NPI: Do The Hard Thing First
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JDM Operational Excellence in NPI
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Building the Team
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Quality is Set in Development & Maintained in Production
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3 Lessons from Tesla’s Former NPI Leader
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Maik Duwensee: The Future of Hardware Integrity & Reliabilitypopular
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Reject Fake NPI Schedules to Ship on Time
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Leadership Guidance for Failure to Meet Exit Criteria
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Screws & Glue: Getting Stuff Done
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Choosing the best CAD software for product design
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Screws vs Glues in Design, Assembly, & Repair
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Best Practices for Glue in Electronics
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A Practical Guide to Magnets
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Inspection 101: Measurements
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OK2Fly Checklists
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Developing Your Reliability Test Suite
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Guide to DOEs (Design of Experiments)
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Ten Chinese phrases for your next build
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NPI Processes & Workflows
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Production: A Primer for Operations, Quality, & Their Leaders
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Leading for Scale
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Proven Strategies for Collaborating with Contract Manufacturers
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Greg Reichow’s Manufacturing Process Performance Quadrants
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8D Problem Solving: Sam Bowen Describes the Power of Stopping
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Cut Costs by Getting Your Engineers in the Field
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Garrett Bastable on Building Your Own Factory
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Oracle Supply Chain Leader Mitigates Risk with Better Relationships
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Brendan Green on Working with Manufacturers
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Surviving Disaster: A Lesson in Quality from Marcy Alstott
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Ship It!
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Production Processes & Workflows
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Failure Analysis Methods for Product Design Engineers: Tools and Techniques
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Thinking Ahead: How to Evaluate New Technologies
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How to Buy Software (for Hardware Leaders who Usually Don’t)
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Adopting AI in the Aerospace and Defense Electronics Space
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Build vs Buy: A Guide to Implementing Smart Manufacturing Technology
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Leonel Leal on How Engineers Should Frame a Business Case for Innovation
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Saw through the Buzzwords
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Managed Cloud vs Self-Hosted Cloud vs On-Premises for Manufacturing Data
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AOI, Smart AOI, & Beyond: Keyence vs Cognex vs Instrumentalpopular
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Visual Inspection AI: AWS Lookout, Landing AI, & Instrumental
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Manual Inspection vs. AI Inspection with Instrumentalpopular
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Electronics Assembly Automation Tipping Points
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CTO of ASUS: Systems Integrators for Manufacturing Automation Don't Scale
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ROI-Driven Business Cases & Realized Value
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Milo Werner has guts. Sixteen years ago, she sent a cold email to Elon Musk asking for a job at Tesla, and today she is one of the leading experts on NPI in the manufacturing industry.
Elon Musk never responded to her email, but she networked until she ended up with an unpaid internship at Tesla in 2007. She worked her way up to become the Tesla NPI leader who launched the Model S powertrain, dual motor, drivers assist and, most importantly, Model X. She’s since led NPI at Fitbit, where she launched four factories in China and transitioned the company to fully automated production.
Now she’s a general partner at The Engine, where she solves some of the world’s biggest problems in health, climate, and computing. She was interviewed by Chris Luecke, host of the Manufacturing Happy Hour Podcast, at our Build Better Manufacturing Optimization Summit. Here are three lessons Milo has learned through her career as an NPI leader.
Lean on your contract manufacturer
Milo learned early on that company-owned factories completely differ from overseas contract manufacturers (CMs). With an overseas manufacturer, the incentives are often at odds with each other: the company’s core need is to create quality products, while the CM industry is run on razor-thin margins that, if left unchecked, can compromise quality. Her advice? Pick a strong CM partner, and lean on them for more than execution.
She shared that with plastic injection molding, for example, many CMs have their own facilities with different styles, textures, and colors and can offer advice on approaching it for your company. You’ll know you’ve found the right CM when they’re aligned with your goals and are willing to leverage their industry expertise to help you uncover solutions to production challenges.
Get hungry for automated data
We should not expect people to go in and do the analysis. Automation is the name of the game.
Milo WernerNPI Leader
Building intelligent data processes, such as machine learning for manufacturing, is critical because that keeps engineers solving problems instead of hunting through Excel files for a specific slice of data. “We should not expect people to go in and do the analysis,” she said. “Automation is the name of the game.”
Be an NPI leader that breaks down silos
Bringing on a new product introduction (NPI) leader is one thing, but in Milo’s experience, it’s another thing to set them up for success. Since project managers run many programs with little decision-making authority, communication breakdowns are unfortunately common, leading to dysfunction, slower product launches, and underutilization of NPI leaders.
She recommends that NPI leaders read Five Dysfunctions of a Team. She reads it with her own teams to spark discussions about good leadership and how to perform well as a team. She also recommends Good to Great to learn what companies need to succeed in their industries.
The challenge of Tesla’s gull-wing doors
During Milo’s interview, the Build Better audience wanted to know: was there ever a discussion on scrapping the technology for Tesla’s gull-wing doors? In Milo’s words, “Oh, yeah. There was a whole internal debate.” What happened from there sounds like a sequence that could happen in any manufacturing company: testing one technology, discovering it didn’t work, testing a new one, then testing again and again, and ultimately switching to a new technology just before launch.
“It was a little hair-raising,” Milo said. “Getting the technology right in such a short time frame was challenging.” But, at the end of the day, it paid off: “Everybody loves the gull-wing doors.”