Untitled design (16)

7 QC Tools

These techniques or tools have been developed to organize verbal information that helps organizations recognize and resolve issues with quality. These resources are beneficial to both the manufacturing and service sectors so that

  • Complex problems are separated for easy solutions by using these tools.
  • Omissions and errors are eliminated at the planning stage
  • Creativity and conceptualization are encouraged

Types of Tools

There are seven types of QC Tools named as

  1. Check Sheet
  2. Pareto Diagram
  3. Cause and Effect Diagram
  4. Scatter Diagram
  5. Histogram
  6. Control Charts/Graphs
  7. Stratification

Check Sheet

This is a form of the framework and items are prepared beforehand so that while reviewing the facts, they are easily entered as Data.

Purpose

Investigation check sheets check the problem condition. The cause of the problem can be captured.

Recording check sheet check (inspect) whether what is decided is at the normal condition, and then retain it as a record

Example

Pareto Diagram

Categories reject or return in quantity or cost, and display them with bars to list them from the largest and a line for the accumulated ratio.

Purpose

Implement the “Prioritization” concept to start from the problem that has the largest impact

Example

Causes and Effect Diagram

Categorize factors, that may have some influences on the characteristic (Problem), connect them with Arrows, and display them in a systematic chart for visualization.

Purpose

Used for clarifying “what may be the causes for creating problems” and placing countermeasures for these causes.

Example

Scatter Diagram

For the corresponding sets of data, such as cause/result or factor/characteristic, see how they are spread out and determine whether there are any correlations.

Purpose

If there is a strong correlation, controlling the factor will control the characteristic, which leads to maintaining a stable condition.

Example

Histogram

Separate the data for attributes (Length, weight, time and temperature) into several sections, count the data, which goes into the section, make the frequency table, and create the diagram.

Purpose

From the size of the variance and shape of the distribution, the improvement method for the problem can be identified, which leads to appropriate measures.

Example

Control Charts/Graphs

Control Chart

Based on locations and layouts of Points, immediately find the problem of the process, investigate the causes, and place necessary Measures to prevent it from reoccurring in order to have a stable process

Graphs

This is used to understand the structure and overview of data at a glance using Graphs

Example

Stratification

This is used to group and compare the characteristic (Result) per machine, material, work method, etc. to identify the cause for abnormality.

CategoriesFactors
By AssociatesPerson, age, years of experience, new employee, experienced employee, group,
By Machinery and EquipmentFabrication machinery, molds, performance, new, old, degree of adjustment of machinery and equipment by plants, lines, jigs, tools.
By MaterialsSupplier, timing of purchase, manufacturing lot, constituents, parts, storage, period, location of storage
By work method and conditionsLine speed, work location, fabrication lot, heat treatment lot, temperature, pressure, fabrication speed, work speed, RPM, Fabrication plan
By TimeTime, Date, AM, PM, Direct, week, day, month, daytime, immediately after starting work, Immediately before finishing work, season
By MeasurementMeasuring instrument, measurement personnel, measurement method
By InspectionInspector, Location of inspection, Inspection method
By EnvironmentAir, temperature, humidity, clear sky, cloudy, rain, wind, snow, raining season, dry season, illumination
OthersNew products, Previous products, Initial products, non-defective products, defective products, packaging, method of conveyance.
Table: Categories and Factors in Stratification

Leave a Comment

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