Red X Apprentice Manufacturing Performance
August 20-23, 2024
9:00 AM- 3:00 PM EDT
Virtual with Instructor Matt Peterson Matthew Peterson None
20 Aug 2024 – 23 Aug 2024 8:00 AM Central Standard Time (North America) Virtual Mexico; Red X Apprentice Manufacturing Performance; August 20-23, 2024; Virtual with Instructor Ernesto Rascon Ernesto Rascon None
08 Oct 2024 – 10 Oct 2024 TBD Face to face Red X Apprentice Manufacturing Performance Training
Date: 8-10.10.2024
Time: 8:00 am. – 5:00 pm. CEST
Location: France, Blois
Nicolas Boussange, Richard Sauquet None
22 Oct 2024 – 24 Oct 2024 9:00 AM Brasilia Time Virtual Brazil; Red X Apprentice Manufacturing Performance; October 22-24, 2024; Virtual with Instructor Waldir Santos Waldir Santos None
22 Oct 2024 – 24 Oct 2024 TBD Face to face Shainin Red X Apprentice – Manufacturing Performance Training – vor Ort Veranstaltung. 23-25.10.2024, 8:00 – 17:00.
Trainingsort wird noch bestimmt. TBD None
11 Nov 2024 – 14 Nov 2024 TBD Virtual Virtual Apprentice Manufacturing Performance Training, 11-14 November, 8:00 am. – 3:00 pm. CET TBD None
PRODUCT PERFORMANCE | |
13 Aug 2024 – 16 Aug 2024 9:00 AM Eastern Daylight Time (North America) Virtual USA; Red X Apprentice Product Performance; August 13-16, 2024; 9 AM-3 PM Eastern; Virtual with Instructor Brad Ellis Bradley Ellis None
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TRANSAXIONAL | |
In-Person & Virtual options None
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MANUFACTURING PERFORMANCE | |
17 Sep 2024 – 19 Sep 2024 TBD Face to face Public Shainin RedX Journeyman Training, September 17th to 19th, 2024 – The class will be hosted at the John Deere plant, close to Orleans, Centre, France. Nicolas Boussange, Richard Sauquet RED X MANUFACTURING PERFORMANCE APPRENTICE COURSEWORK 24 Sep 2024 – 27 Sep 2024 8:00 AM Eastern Standard Time (North America) Virtual USA; Red X Journeyman; September 24-27, 2024; 8:00 AM- 2:00 PM EST; Virtual with Instructor Tim Hudgens Tim Hudgens RED X MANUFACTURING PERFORMANCE APPRENTICE COURSEWORK 22 Oct 2024 – 25 Oct 2024 8:00 AM Central Standard Time (North America) Virtual Mexico; Red X Journeyman; October 22-25, 2024; 8:00 AM – 2:00 PM; Virtual with Instructor Ernesto Rascon Ernesto Rascon RED X MANUFACTURING PERFORMANCE APPRENTICE COURSEWORK 04 Nov 2024 – 06 Nov 2024 TBD Virtual Shainin RedX Journeyman Training TBD RED X MANUFACTURING PERFORMANCE APPRENTICE COURSEWORK 19 Nov 2024 – 22 Nov 2024 9:00 AM China Standard Time Face to face Shanghai or Suzhou Jay Zhu RED X MANUFACTURING PERFORMANCE APPRENTICE COURSEWORK 25 Nov 2024 – 28 Nov 2024 TBD Virtual 4 day virtual Red X Journeyman Training via Zoom. European Time zone – daily from 8:00 am. – 3:00 pm. CET TBD RED X MANUFACTURING PERFORMANCE APPRENTICE COURSEWORK
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PRODUCT PERFORMANCE | |
15 Oct 2024 – 17 Oct 2024 TBD Virtual Virtual Reliability Engineer Training, 08:00 am – 2:00 pm. CET Richard Sauquet RED X PRODUCT PERFORMANCE APPRENTICE COURSEWORK
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09 Dec 2024 – 12 Dec 2024 TBD Virtual Virtual Red X Master Training 4 Days, 8:00 am. – 3:00 pm Central European time. TBD
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BasiX overview is specifically designed to provide an introduction to Shainin methodologies. This course provides participants with the chance to learn the basic Red X approach and tools. BasiX, view our available seminars and locations below. | |
In-Person & Virtual options None
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Technician class provides an introduction to the Red X tools and strategies necessary to effectively support the engineering team in solving complex problems. In short, the training ensures everyone on the team speaks the same problem-solving language in their pursuit of hidden causes. Participants learn to create and draw conclusions from an isoplot, multivari, or concentration diagram, as well as to execute quick tests to confirm a root cause. | |
In-Person & Virtual options None
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In-Person & Virtual options None
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Asked by Vishwadeep Khatri , January 31, 2023
Red X Methodology (or the Shainin System) is a problem solving methodology which states that for every problem there is a prominent root cause (or a Red X). In order to solve the problem and get the desired output (Green Y), the Red X must be eliminated.
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Balaji Loganathan on 1st Feb 2023.
Applause for all the respondents - Balaji Loganathan, Vikas Choudhary, Anupam Goswami, Kirpa Shanker Tiwari, Nunhuck Oosman.
Q 537. What is Shainin Red X Methodology? Compare it with Six Sigma and highlight its pros and cons.
Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday.
Share on other sites, 6 answers to this question.
Balaji loganathan.
Shainin RED X projects are evidence-based; converging on the main source of variation, the emphasizing principle is DY = f(Dx)The largest value will result from a combination of a significant coefficient and a large change in X.
What is the difference between Shainin and Six Sigma?
The main difference between the Shainin Red X® approach ( FACTUAL ) and the Six Sigma methodology ( DMAIC ) is the phase Approach . The Red X develops a strategy based upon the physics of the problem and the comparison of the BOB (Best of Best) and WOW (Worst of Worst) parts
Any problem-solving methodology involves two phases’ diagnostic and remedial phases. The diagnostic phase is concerned with measuring and analyzing the current process performance while the remedial phase involves of various corrective actions taken to improve the process and monitoring the new process to make it a culture.
Tables show the comparison between the six sigma and Shainin methodological approaches.
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Meaning | Six sigma methodology attempts to improve the existing process | The Shainin System™ (SS) is defined as a problem-solving system designed for medium- to high-volume processes where this methodology follows FACTUAL approach. |
Focuses on - | Process Focused | Red X statistical engineering identifies a set of tools first used to identify the Red X, and then to monitor the effectiveness of controlling the Red X. Shainin system focuses on understanding the machine or parts problem and assembly operations facilities |
Methodology | Six Sigma uses DMAIC (Define, Measure, Analysis, Improve, control) | Red X approach uses the following structure, called FACTUAL (Focus, Approach, Converge, Test, understand, Apply, Leverage |
Domain Knowledge | No Deep understanding is required of the Y & the problem | You must have a deep understanding of the Y and the problem. |
Tools used | Descriptive statistics. Regression analysis, designed experiments, hypothesis tests, analysis of variance (ANOVA), and control charts. | Shainin systems are such as Isoplot, Multi-Vari analysis, Concentration Chart, Component search, Paired comparison, Product/Process search, Variable search, Full factorial, B versus C, etc |
Skill | Six sigma required strong statistical & analytical knowledge | RED x requires good technical knowledge, engineering skills, common sense, and simple statistics to solve technical problems with statistical confidence |
Shainin Red X Methodology is a problem-solving technique used in the manufacturing and engineering industries to identify the root cause of a particular issue quickly and effectively. It's a data-driven approach that utilizes statistical analysis, hypothesis testing, and experimentation to isolate the key factor causing the problem.
Compared to Six Sigma, Shainin Red X Methodology is a more streamlined and quicker approach to problem-solving. While Six Sigma is a comprehensive methodology that can take several weeks or months to complete, Shainin Red X can often find the root cause in a matter of days or even hours.
Pros of Shainin Red X Methodology include:
Cons of Shainin Red X Methodology include:
Overall, Shainin Red X Methodology can be an effective tool for solving problems quickly in specific cases, but it may not always be the best choice for all situations.
Shainin Red X Methodology is a statistical problem-solving approach used in industrial settings to quickly identify the root cause of complex and multifaceted issues. It is based on the idea that a small number of critical inputs (often referred to as the dominant "X's" based on pareto principle) are responsible for most of the variation in a system. The methodology involves a systematic process of testing, eliminating, and validating these inputs until the root cause of the issue is found.
Compared to Six Sigma, Shainin Red X Methodology is considered to be a more efficient and quicker approach to problem-solving, particularly when dealing with complex, multivariate issues. Six Sigma, on the other hand, is a more comprehensive process improvement methodology that involves extensive data analysis, statistical process control, and a structured DMAIC (Define, Measure, Analyze, Improve, Control) process.
Pros of Shainin Red X Methodology:
· Quicker problem resolution time
· Focuses on critical inputs for efficient problem-solving
· Can be applied to a wide range of industrial settings
· Can be used by individuals with limited statistical knowledge
Cons of Shainin Red X Methodology:
· May not be as comprehensive as other problem-solving approaches such as Six Sigma
· May not be suitable for all types of problems, particularly those that are not complex or multivariate in nature
· Can be less data-driven compared to other methodologies, relying more on intuition and experience of the problem-solver.
Pros of Six Sigma:
· Comprehensive approach to problem-solving and process improvement
· Utilizes statistical tools and methodology to identify and eliminate causes of defects
· Can be applied to a wide range of industries and processes
Cons of Six Sigma:
· Can be time-consuming and resource-intensive to implement
· May not be as quick as Shainin Red X Methodology in solving specific problems.
In summary, Shainin Red X Methodology is a fast and effective approach to solving complex problems, but it may not be as comprehensive as other methodologies like Six Sigma. The choice of methodology depends on the type and complexity of the problem, as well as the resources available.
The Shainin System is develop by Dorian Shainin . It is a tool for statistical engineering and generally used in Automobile sector. Shainin also called Red –X strategy. This is typically used to high volume processes where huge database exist and ease of data availability. This system is used in parts and assembly manufacturing processes.
This work on below underlying principles
1. Assumption that there are large cause of variations
2. Assumptions there is diagnostic processes and remedial actions.
Steps of Shainin system
1. define the project
2. Establish Measurement system
3. generate hints
4. list probable factors
6. found Red –X
7. Check interactions
8. Irreversible corrective actions
10. monitor outcome
11. Consumer satisfaction
How it is different than Six sigma
Six sigma is more statistical however this is based on Statistics and more mechanistic.
Shainin is systems that are developed to achieve six sigma targets
Shainin systems are evidence based and covers maximum source of variations.
Shainin systems generally used FACTUAL path while Six sigma used DMAIC kind of methodology.
FACTUAL: Focus>>Approach>> converge>>Test >> understand>> Apply >> leverage
DMAIC: Define>> Measure>> Analyse>> Improve>> Control.
The Shainin X methodology is described as a system for resolving issues created for medium- to high-volume processes where data are easily accessible, statistical techniques are frequently employed, and process intervention is challenging. It has mostly been used in facilities for part and assembly processes.
The basic principality of the Red X technique is that there is always a dominant cause of variation. This claim is supported by the Pareto principle's application to the causes of the variance. Usually, changes in a number of inputs lead to changes in the output. These inputs (Xs) are divided into groups based on color, with the Red X serving as the primary cause. The GreenY state is how Shainin describes the desirable state of the output.
Using Shainin tools has the benefit of requiring very low sample sets for problem analysis. Frequently, samples of just two or three are sufficient to draw statistically significant results. The data can be analyzed without the use of computerized statistical methods.
Moreover underlying causes are identified through "interacting to the parts" as opposed to assumptions or preconceived notions.
Due to the statistically robustness of the procedures, main effects and interaction effects were distinguished and quantified.
A great variety of versatility is offered by the 12 various approaches.
It is simpler to incorporate the entire workforce because the strategies are simple to implement and inexpensive to learn.
The below four groups can be used to group the 12 techniques:
-Comparing the greatest and worst product examples side by side will help you identify the traits or factors that set the best and worst goods apart.
List and quantify the process variables in the product/process search
-Search for Products/Processes: The process variables that affect a product's quality should be listed and measured. By contrasting data from a process that yields good parts with measurements from a process that yields faulty parts, you can identify which of these process factors is to blame for the problem.
DOE optimization
DOE approach
Balaji Loganathan has provided the best answer to this question.
Response from Oosman is also a must read.
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Hi, I've heard about a technique that called RED X that is supposed to be a very simple tool to find root cause of problems, it is used by GM (and maybe developed there???) Does anyone have any information on this? Thanks for your help. -Erica
erica said: Hi, I've heard about a technique that called RED X that is supposed to be a very simple tool to find root cause of problems, it is used by GM (and maybe developed there???) Does anyone have any information on this? Thanks for your help. -Erica Click to expand...
GM Canada's 16th Annual Continuous Improvement Symposium was held on April 29th, 2004, with over 135 GM employees and 145 suppliers such as Lear, Decoma and A.G. Simpson in attendance. Guest speakers had the opportunity to address the audience and share real incident case studies that resulted in significant quality improvements, and share the methodology used to gain that improvement. Since the events beginnings as a group of eighty at the Oshawa Car Assembly Plant training room, the symposium continues to grow each year. Representatives from General Motors' plants and administrative areas, as well as a diverse group of suppliers have participated in this event. Although the symposium has become an annual event, it really is a celebration of the continuous improvement process that is carried on every day, resulting in significant quality gains. Objectives The Continuous Improvement Symposium is a forum that brings together both GM and GM suppliers with the following objectives: * Promote the use of common improvement methods and tools * Increase and share knowledge * Recognize those using continuous improvement methods * Forum to network This year the theme was Design for Six-Sigma and various speakers addressed the audience on this topic. Maryann Combs, GM Canada Director of Engineering and Steve Rose, GM Canada Director of Purchasing & Logistics, gave opening remarks and welcomed the guest speakers and attendees. Throughout the day both GM employees and suppliers shared their case studies on real life issues that were resolved through continuous improvement methodologies, more specifically, Design for Six Sigma and Red X. Design for Six Sigma (DSFF) What is it: A methodology for driving process capable designs that satisfy the customer by identifying and optimizing critical design parameters. Heart of Methodology: I.D.D.O.V. I - Identify - identify the project through set criteria D - Define - define the opportunity through the customer voice and JD Power Results D - Develop - develop concepts and transfer functions through alternate designs O - Optimize - optimize the design and balance with conflicting designs V - Verify - validate results Objective: The objective of the process is to improve quality, reliability and durability (QRD) on current and future vehicles. GM works with major suppliers within the QRD focus areas. Red X What is it - Red X is the GM accepted problem solving methodology that uses engineering skills, common sense and simple statistics to solve technical problems with statistical confidence. Heart of Methodology: Red X, Green Y, Best of the best (BOB) and worst of the worst (WOW). Red X - root cause or variable that is causing the greatest amount of variation in the product or process of interest. Green Y - the failure mode or concern of the customer Best of the Best (BOB) - best part, assembly or component made in a process as determined by the Green Y Worst of the Worst (WOW) - worst part, assembly or component made in a process as determined by the Green Y Objective: Red X statistical engineering identifies a set of tools first used to identify the Red X, and then to monitor the effectiveness of controlling the Red X. Click to expand...
Red X The "Red X" is taken from the Shainin method. It has levels of expertise, but doesn't use "belts" like Six Sigma. All in all, they are pretty tight-lipped about the method. Just try and find some really solid information. It used to be that candidates had to sign all kinds of non-disclosures and such before being trained. The concept (similiar to the theory of constraints in that there is only "one" true constraint at any one time) is that every process or product has a "Red X" or one critical parameter and if that is controlled, the process should produce acceptable results. It uses terms such as "Best of the Best" or BOBs, "Worst of the Worst" or WOWs. It is largely a Design of Experiments method. As with any method (Shainin, TQM, Six Sigma, etc.) the ability for it to work depends on the the ability of the person using the method and managements committment to make the necessary changes. See attached file for some more information. I hope it helps. Wayne
I remember the red "x" (pink "x" and pale pink "x") method from a class I took in DOE, which included Shainin methods, years ago. I didn't know it had grown so much until I just did a little research. It seems it has grown outside of DOE into general root cause analysis (via GM). The are even people called "Red X"s. Here's one article of interest I found. I also noticed that Marc referred to the technique, on March 10, 2000, when acknowledging Shainin's death.
Thanks Thanks for the information - it is quite helpfull. -Erica
check out the web site
Odiorne Point said: check out the web site Click to expand...
frankly speaking ,it's a comprehensive tool for solving problem rather than a sample tool .In my opinion there is a little complex. I think the primary concept is that compare the WOW and BOB ,and find out the deverse then do some test . WOW:worst of worst BOB:best of best I got a training before but I did't understand entirely.
Hello, I have the RED X Master Certification, this technique was developed by Dorian Shainin not by GM, there are several companies that uses this methodology, unfortunately there is few bibliography for reference, one book is: "World Class Quality" using design of experiment to make it happen, Keki R. Bhote & Adi K. Bhote, second edition, AMACOM.
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Red X Problem Solving is a structured method for solving complex problems in parts and assembly operations. It combines engineering insight with statistical thinking and follows a roadmap called FACTUAL to identify and control the Red X, the strongest source of variation.
When problems arise, you need a solution fast. You need a strategy to ditch your long list of possible causes and narrow your focus to the one that matters most. With Red X in your toolbox, you can. 1. Solve Fast. Eliminate unnecessary testing and streamline your problem solving efforts for speed and accuracy. 2. Get it Right.
Red X in a nutshell. Red X is a problem-solving technique based on the premise there is one dominant root cause for process variation and problems. Using a convergent process of analysis focusing on potential process input variables (X), the end result will be an identification of the primary Red X root cause along with lesser colors of Pink Xs
It represents the key factor ("Red X") that, if addressed and resolved, will have the greatest impact on the measured output ("Green Y"), solving the problem and improving the process or product. In other words, you can solve the problem by simply controlling or eliminating the Red X. This provides an elevated level of efficiency in the ...
Red X® problem solving is a highly structured and disciplined system for finding the hidden causes that are keeping systems (either manufacturing processes or products) from performing properly. It is particularly effective at revealing higher order interactions (3, 4 or 5 factors). Its foundation is built on
Structured Problem Solving and Shainin's Red X Methodology. To learn more about Shainin's Problem Solving Services, click here:https://shainin.comFollow us o...
Learn how to use statistical estimates, diagnostic statistics and judgmental statistics in Red X Problem Solving, a methodology for identifying and eliminating the root cause of a problem. See examples of tools and techniques for each category and how to avoid common errors and pitfalls.
Learn about the Shainin System, a problem-solving system and its associated strategies and tools developed by Dorian Shainin. The article reviews the system's philosophy, principles, methods, and comparison with other industrial methods.
Red X® problem solving is a skill that needs to be learned and developed. As with any skill, students must pass through four phases of competence before they are fully developed. We all start out Unconsciously Incompetent: we don't know what we don't know. When we become exposed to a new skill, we suddenly become Consciously Incompetent ...
Abstract and Figures. The Shainin System™ (SS) is the name given to a problem solving system, with its associated strategies and tools, developed by Dorian Shainin, and widely used and promoted ...
An introduction to Shainin Red X problem solving methodology. If you seek to understand new methods of problem solving for business using the best and most e...
The 2-day Red X ® Technician class provides an introduction to the Red X ® tools and strategies necessary to effectively support the engineering team in solving complex problems. In short, the training ensures everyone on the team speaks the same problem-solving language in their pursuit of hidden causes.
In 1996, he was encouraged by his Pratt & Whitney team to take Shainin Red X training, building on his Lean manufacturing efforts. This training proved to be a turning point in John's career, igniting his passion for problem-solving and setting him on a path to becoming one of the industry's most respected experts.
the best way to find the Red X® Today the Shainin Red X® methodology consists of about 30 techniques and tools - the known as well as newly developed techniques - which create the comprehensive stepwise system for process improvement (Shainin, 1993). Shainin problem solving roadmap is called FACTUAL™ (Focus, Approach,
Jan Kosina. Received 6 June 2015, Accepted 17 Octobe r 2015, Published 31 December 2015. ABSTRACT. Purpose: The purpose of this paper is to provide a brief overview of Six Sigma. and Shainin RedX ...
Red X Methodology (or the Shainin System) is a problem solving methodology which states that for every problem there is a prominent root cause (or a Red X). In order to solve the problem and get the desired output (Green Y), the Red X must be eliminated. An application-oriented question on the topic along with responses can be seen below.
Dorian Shainin (September 26, 1914 - January 7, 2000) was an American quality consultant, aeronautics engineer, author, and college professor most notable for his contributions in the fields of industrial problem solving, product reliability, and quality engineering, particularly the creation and development of the "Red X" concept.. Shainin (pronounced SHAY-nin), founder of the technical ...
Red X What is it - Red X is the GM accepted problem solving methodology that uses engineering skills, common sense and simple statistics to solve technical problems with statistical confidence. Heart of Methodology: Red X, Green Y, Best of the best (BOB) and worst of the worst (WOW). ...
In 1996, he was encouraged by his Pratt & Whitney team to take Shainin Red X training, building on his Lean manufacturing efforts. This training proved to be a turning point in John's career, igniting his passion for problem-solving and setting him on a path to becoming one of the industry's most respected experts.
A Beacon of Hope. While discussing the issue with one of his colleagues, Leslie, Marcus learned about Red X. Leslie explained to Marcus that she had already solved several manufacturing variation problems using tools like a Strategy Diagram to understand what nonrandom patterns exist in the manufacturing process, tools like Isoplot or Stage 0 ...
In 1996, he was encouraged by his Pratt & Whitney team to take Shainin Red X training, building on his Lean manufacturing efforts. This training proved to be a turning point in John's career, igniting his passion for problem-solving and setting him on a path to becoming one of the industry's most respected experts.