Implementing Quality Forensics to Dramatically Improve Your Supply Chain
ShutterStock: Gaussian curve, Quality forensic tool. Photo ID:488598658

Implementing Quality Forensics to Dramatically Improve Your Supply Chain

Many of us are familiar with the bell curve, that it models a plethora of phenomenon from the distribution of grades, to random dice rolls, or even the height & weight measurements of newborn babies.

                                                                  Fig. 1

Bell curves can also help you detect hidden defects and save 100's of thousands of dollars in the purchasing function. Consider the following hypothetical situation:

You have a supplier on the other side of the world shipping parts that are dimensioned too short costing you and your customers time and energy. You request them to fix the problem and after multiple attempts, they assure you there's nothing to worry about. How can you judge the reliability of that assertion? What hidden in their latest batch of parts? -A ton.

Here's how you investigate like a pro. First, you identify the characteristic range. If it's a dimension, perhaps the range is 1.0 - 1.100". In this case, you simply divide up the range into sixths, using the six sigma model of a curve as in figure 1. 

Next, you simply count the number of parts that are in the first and last segment compared with the 3rd and 4th segments. If the supplier is manufacturing conforming parts, then they will be within the tolerance range AND only 5% of them will fall within the outer segments, 27% will fall within the 2nd and 5th segment, and a whole 68% of them will fall within the middle two segments of the bell curve.

Here's where it gets fun. If the supplier is shipping parts that have a similar number of parts in the outer segments as the middle two, then you have forensic evidence the process is not producing good parts and you can be sure of the following:

  1. Your supplier is inspecting for good quality and throwing away all the bad parts before you see them, rather than making them right the first time.
  2. The cost of bad quality parts is already factored into the price, you are paying too much.
  3. The supplier will likely start shipping bad products to you again when their current inspector changes jobs.
  4. There are significant process improvements to be made that will save everybody time, energy and you have scientific proof of it!

Depending on the cost of the products being purchased, the opportunity for savings could be hundreds of thousands of dollars. As the supply chain represents the largest cost of just about any manufacturing business, you can bet this is one of the best places to drive out costs and improve bottom line performance of any organization!

Ray Harkins

General Manager of Lexington Technologies; Online Educator at the Manufacturing Academy; MS, MBA

8 年

Good method. This is the basis for Taguchi's Loss Curve and associated Cpm index. As the process mean deviates further and further from the specification target, the total cost goes up and up.

Abhijeet Manohar Bhakare

Dynamic Quality professional with 19+ years of exp. in all areas of Quality, delivers exceptional results, drives continuous improvement, implement Customer specific requirement. Use of Data Analytics & IIOT in Quality.

8 年

Great!! SQC simplified.....

Shivam Sharma

Project Manager | Expert in Leading Cross-Functional Teams | Driving Project Success Through Strategic Planning and Execution | Root Cause Analysis, Agile and Waterfall Project Management

8 年

Knowledge enhancing article Mr. Joel. Very helpful writing for the newcomers like me, in this field. Keep posting posts like this.

Amit Singh

12+ Years in Product Development | Supplier Management | Google | Hardware-Manufacturing Supply Chain | Global Sustainability

8 年

Content of article is very rich ?? very informative

Vishwanath MOTAGI

Quality specialist |On a mission to digitise QMS | eQMS | Auditor | SSGB | ASQ Member

8 年

wonderful post sir

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