Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • Communicating with FINESSE
      • The RCA
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Podcasts
  • Courses
    • Your Courses
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
  • Barringer Process Reliability Introduction Course Landing Page
  • Upcoming Live Events
You are here: Home / Articles / Manufacturing Projects

by Perry Parendo Leave a Comment

Manufacturing Projects

Manufacturing Projects

How do I know your projects are valuable?

We have resolved many manufacturing issues. Why do I need DOE to do this? How can we better get to root cause? Each section below contains a 2-minute video to expand on the topic provided.

Why use Design Of Experiments?

Design of Experiments is the best tool for resolving problems when our science and experience fails us. Even if we are right, we also need to prove our approach works to others. Today that includes proof with statistical confidence. We need to be efficient to reduce excessive prototypes, scrap and downtime.

Knowledge Based Decisions

Decision making is the core of what we do every day. Relying on opinion is very limiting, so organizations have been leaning more and more on data. However, we need to understand the need to translate the data into knowledge. This provides a strong basis to avoid the natural biases and make the most of the information available! Stronger decisions leads to stronger designs and processes.

Root Cause Analysis

Organizations have lost the experience to find a Root Cause after so much manufacturing was transferred out of the country. When stuck, many are not sure where to start. With a framework for this analysis from our experiences, we can leverage your team quickly and get things back on track. Make problems go away permanently!

Filed Under: Articles, Experimental Design for NPD, on Tools & Techniques

About Perry Parendo

Perry's Solutions, Inc. was founded to help companies achieve product and process breakthroughs using Design of Experiments (DOE). Research of industry training programs shows they do not address the required applications for these tools, resulting in their training investment falling short of needed and wanted improvement. The company leverages their extensive DOE experience in new product development and manufacturing operations to bring you an innovative yet effective methodology for all developers desiring a quantum-leap improvement in product or process effectiveness.

« 10 Things a Maintenance Supervisor Can Do Today to Improve Equipment Reliability!
The 2 Parameter Birnbaum-Saunders Distribution 7 Formulas »

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Article by Perry Parendo
in the Experimental Design for NPD series

Join Accendo

Receive information and updates about articles and many other resources offered by Accendo Reliability by becoming a member.

It’s free and only takes a minute.

Join Today

Recent Posts

  • Gremlins today
  • The Power of Vision in Leadership and Organizational Success
  • 3 Types of MTBF Stories
  • ALT: An in Depth Description
  • Project Email Economics

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy