CRITICAL QUALITY CONTROL TOOLS IN THE INDUSTRY

In the industrial sector, people work with machinery of all kinds, including potentially dangerous devices. To avoid any type of accident, quality control tools are applied, which also guarantee that the product or service is developed optimally. Meghdoot Associate experts will explain fundamental and industry-specific QA tools.

One of the objectives of these control systems, in addition to protecting the worker, is to prevent any defect or error from reaching the end consumer. To achieve this, you have to follow a series of protocols and use various analytical tools. In addition to avoiding incidents, quality control helps companies in the sector to remain competitive, since it is about constantly improving the quality of the service or product. If you are interested, apply for 7 QC tools training at Meghdoot Associates. 7 QC tools training will help in identifying defects, its causes and solutions.

7 basic quality control tools

There are 7 basic quality control tools that are traditionally used. You do not need technical training to use these tools, but you do need to know the industry environment and when to use each of these options:

  1. Cause – Effect Diagram: Any characteristic that adds quality to the product or service is the consequence of multiple other causes. Therefore, if you find an error or quality problem, it is important to find its origin. The so-called Ishikawa diagram visually shows the causes and sub-causes that generate an effect.
  2. Verification Sheet: These are forms in which data related to the occurrence of a specific event are recorded. They are used to analyse the reasons for a problem and its symptoms. It allows, among other things, to find out what part of the service or product development is complying with the proposed specifications.
  3. Control Charts: It is a statistical tool that allows distinguishing between common and special variations in processes. It presents a graph that shows the stability or instability of the processes in a specific period of time.
  4. Histogram: Graph showing, from vertical bars, the frequency distribution of a data set. Frequencies refer to the number of repetitions of any event in time.
  5. Pareto diagram: The Pareto chart displays the data in descending order separated by bars. In addition, a cumulative curve is added to it. To the left are the rare but vital problems and to the right the trivial but numerous errors. It facilitates the study of industrial failures and is based on the fact that 20% of the total causes cause 80% of the effects.
  6. Scatter diagram: It is used to determine if there is a relationship between two variables. Show what happens to one variable when other changes to see what relationship they have. It allows to conclude whether there is a negative, positive or neutral relationship between the variables.
  7. Stratification: Stratification consists of separating the grouped data from multiple sources to provide an intelligible result. The strata into which the data are separated are often presented in a histogram for easy viewing.

In conclusion, 7 QC tools training enable the learner to optimize the final result of the entire development process. Taking into account the implicit danger of the industrial sector, it is important to guarantee the responsible and continuous integration of these solutions.