Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: So Does Toyota Really Have a Quality Issue?-Lean Six Sigma Perspective
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Market Research > So Does Toyota Really Have a Quality Issue?-Lean Six Sigma Perspective
Big DataInside CompaniesMarket ResearchWorkforce Analytics

So Does Toyota Really Have a Quality Issue?-Lean Six Sigma Perspective

Kyle Toppazzini
Kyle Toppazzini
5 Min Read
SHARE

Toyota, Lean Six Sigma

Toyota, Lean Six Sigma

Whenever I write about continuous improvement and lean Six Sigma without fail I get a comment about Toyota and its quality issues.  So I decided to investigate this matter further and present the facts and let the data be the voice of reason.  I do expect the proverbial “Yabut and Costello” comments i.e. BUT what about this and what about that; however, my goal is to compare trends over time and across the automotive industry.

In summary, Toyota’s quality issues are far less severe, than what we are lead to believe, when compared to the other automobile manufacturers. However, from a Lean Six Sigma perspective, there is much work to be done and, here is the data to demonstrate this.

More Read

Image
Big Data Proves Mobile Is Where Your Audience Is: Where Are You?
When Big Data Turns Into a Big Nightmare!
Big Data Gives Us New Insights Into Influencer Reach
Protecting Intellectual Property in the Era of Big Data
A Data-Centric Approach Will Lead To Customer Centricity

 

1) 2011 Initial Quality Study

We will start by looking at a comprehensive survey conducted in 2011 called the Initial Quality Study (IQS).  IQS looks at the problem owners have reported during the first 90 days of owning a car. Participants of the study were asked to select from 228 potential problems with their vehicles from major malfunction to problems understanding controls.  The results of that study are presented in the graph below and the values were obtained from (http://www.caranddriver.com/features/the-trouble-with-jd-powers-initial-quality-study-feature).

Lean Six Sigma, Top 10 problems per 100 vehicles

Source: 2011 Initial Quality Study 2011 (http://www.caranddriver.com/features/the-trouble-with-jd-powers-initial-quality-study-feature)

 

The graph shows, the problems per 100 vehicles (for the top 10 vehicles, i.e. those with the lowest problems per 100 vehicles) . A problem may include problems in assembly or design even if the design was built according to specifications.  According to the graph and the 2011 IQS survey, out of the top 10 brands with the least problems per 100 vehicles, Lexus had 73 problems per 100 vehicles while GMC had 103.  Not shown in the graph but interestingly enough is that Ford had 7th highest number of problems per 100 vehicles at 117.

Toyota, although not faring the best, does have one of the best records with respect to problems per 100 vehicles among over 20 vehicles included in the 2011 IQS survey. 

 

2) Trend in Initial Quality Study

In the 2012 IQS survey (http://autos.jdpower.com/content/press-release/ws4mUEA/2012-u-s-initial-quality-study.htm), Lexus ranked the best car with respect to the lowest number of problems per 100 vehicles for a second year in row with 73 problems per 100 vehicles.  In addition, Honda was once again ranked in the top 5 with respect to the lowest number of problems per 100 vehicles.

Jaguar, Porsche, Cadillac, Honda and Infinity had substantial improvements in the number of problems per 100 vehicles (20 to 50% improvement).  Note that a positive percentage increase means an improvement, i.e. the number of problems per 100 vehicles declined.   

For Toyota, the problems per 100 vehicles stays within the top 10 and the improvement from the year before was 12% which is much higher than the Industry average improvement of 5%.

 

Concluding Thoughts

Although more years of data is required to see for certain if the quality trends observed in 2011 and 2012 are likely to continue, for now Toyota does seem to have better than average quality ratings relative to the overall automobile industry.  

That being said from a lean six sigma point of view, 88 defects per 100 vehicles is less than desirable. The goal for six sigma is 3.4 defects per million, which is drastically different than what Toyota is achieving today.  In other words, Toyota has much to improve on its quality relative to the Lean Six Sigma standards.

Perhaps it is time for Toyota and other car manufactures to focus more on six sigma (i.e. focus on quality) and less on Lean (i.e. focus on time).  What do you think?

 

 

        

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News
0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

bigquery
Big DataCloud ComputingData Management

BigQuery Service: Next Big Thing Unveiled By Google on Big Data

6 Min Read
drupal content management system
Big DataExclusive

Drupal: Open Source CMS for Data-Driven Businesses

9 Min Read
big data advances
Big Data

Why New Email Clients Rely Heavily on the Latest Big Data Advances

5 Min Read
data analytics guide
Analytics

Importance Of Using Data Analytics To Optimize Lead Pipelines

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?