Tips and Techniques for Statistics and Quality Improvement

Jun 07
Published in Data Analysis

Main Three Solutions to Operational Excellence

Main Three Solutions to Operational Excellence

What, Precisely, Does Operational Excellence Look Like?

Good accomplishment teams use three important approaches as part of a successful management system.

Jun 06
Published in Data Analysis

Minitab Essentials

 

The realm of Six Sigma depends on statistics and firm data to deliver procedure development.

May 30
Published in Data Analysis

Lean Manufacturing Secrets that You Can Apply to Data Analytics

Lean Manufacturing Secrets (Data Analysis) 

As we explain what might data analytics specialists probably learn from car manufacturers?  Steam engine giant Toyota created a set of methods, far along doubled into a discipline called lean manufacturing, in which employees focus persistently on improving quality and reducing non-value-add activities. This philosophy allowed Toyota to grow into one of the world’s leading car companies.

Mar 26
Published in Data Analysis

What is DOE?

What is DOE?

When it comes to the definition, it can be defined as, Design of experiments (DOE) is a methodical, demanding approach to engineering problem-solving that applies principles and techniques at the data collection stage so as to safeguard the generation of valid, defensible, and manageable engineering conclusions.

Mar 23
Published in Data Analysis

What is SPC?

What is SPC?

SPC is the technique of determining and controlling quality by monitoring the manufacturing process. Quality data is collected in the form of product or process measurements or readings from various machines or instrumentation.

Mar 23
Published in Data Analysis

What is Data Science?

What is Data Science?

Its might be surprising that how we use data science I n everyday life, Marketing campaigns, Uber, Siri, price comparison sites, Amazon recommendations, gaming and image recognition, are all powered, to varying degrees, by data science.

Feb 20
Published in Data Analysis

3 Keys to Getting Reliable Data

Can you trust your data? 

That's the very first question we need to ask when we perform a statistical analysis. If the data's no good, it doesn't matter what statistical methods we employ, nor how much expertise we have in analyzing data. If we start with bad data, we'll end up with unreliable results. Garbage in, garbage out, as they say.