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How statistical quality control occurs in a company

Apply the Statistical quality control, It is essential for any company, whether large, medium, small or a business that has a commercial premises that offers services or sale of products, since knowing how to carry it out, knowing its characteristics and its operation is essential to maintain competitiveness in the market.

Do you want to know what it is? How is it implemented? And other underlying concepts? Then read on and you will find the information you need for the success of your business.

Statistical quality control: concepts

  1. The Statistical quality control It is applicable both for a service and for a product, since under a qualitative perspective, the tangible or intangible good must always satisfy the customer.
  2. Its objective is to improve quality while reducing waste and product return and therefore reducing the loss of economic resources.
  3. It is also a fundamental factor at the time of decision-making, since it is not only limited to a single sector in charge of this purpose, that is, the production sector but it is much broader reaching other sectors, since it is born in the selection of raw materials, personnel with their working conditions to the attitude of workers towards their predisposition.

What is quality in statistics?

1.Can be defined by Statistical quality control as a set of industrial processes including labor and statistical techniques in conjunction with administrative processes that by joining forces allow to carry out the verification of each part of the process, in order to know if each one of them meets the requirements of the quality.

  1. But it is not only limited to verifying each part of the process or service but it is an aid so that the quality is fulfilled and therefore ensures the good aptitude of the product.
  2. In short, customers demand quality in the products. However, there are different definitions of quality.
  3. While some argue that a quality product is one without deficiencies and that therefore satisfies the customer.
  4. The ASQ, American Society for Quality, indicates as quality a product whose characteristics and details are complete enough to satisfy your needs.
  5. However, according to the ISO 9000: 2000 standards, it considers the quality of a product as the fulfillment of all its characteristics according to its requirements, that is, it meets the expectations to which it is obliged.
  6. However, a much simpler definition is that of quality by a customer, since in this case it is only a quality product when it meets their expectations, which are generated in the customer from the image of the company, advertising, the price of the product and their own needs.
  7. Therefore, there is customer satisfaction when he realizes that the product meets the right relationship between the price, the quality of the product and the service provided by the company.
  8. From these three factors derives the competitiveness of the company, since a company can provide a good service with a high quality of the product at a low price.
  9. Anyway, to be competitive, the quality of the product also has to do with the applied technology, since it can be a product without defects but the customer also expects it to offer new qualities.
  10. Delivery time also influences quality, as all customers expect to have the product they want on time, without delays.
  11. In this sense, the logistics of the company is involved, since the production cycle time begins with the customer’s order, the request for materials, the production order and the subsequent tasks that end up forming a product that reaches the customer’s hands.

What is statistical process control?

  1. Statistical process control focuses on quality based on achieving customer satisfaction. The processes are always variable because their production is influenced by the environment, raw materials, machinery, as well as other factors that influence the characteristics of the product and its variables.
  2. In fact, they are variables that alter in one way or another the quality of the product and it is for this reason that underlies the need to guarantee the stability of the process in order that the final product is within the quality parameter that has been established. settled down.
  3. This stability is achieved from statistical process control as a tool that continuously helps to improve the quality of the manufacturing process.

How is statistical process control applied?

Statistical process control is applied from the use of theorems, for example:

1.The Gaussian theorem or normal distribution that helps to estimate the number of samples of a norm. It is calculated based on standard and measured deviation. It is graphed with the Gaussian bell.

  1. The TCM theorem or the central limit. The theorem proposes the hypothesis that in the face of a significant number of variables that are independent, placed under the same model and without a predominance of one over the other, when adding the variables, a Gaussian or normal distribution is obtained.
  2. Sample measures distribution theorem. He puts forward a hypothesis that says that when having a group and choosing a sample, it follows a normal distribution if that chosen group is not equal to the reference group while at the same time it is a large enough group.
  3. A control chart is applied when the process is stable enough even if it is random and allows to be predictable.
  4. Well, when a process is chaotic, it cannot be predictable and therefore not controlled and therefore the control chart cannot be applied to it, but rather it is studied using advanced statistical tools until there is empirical knowledge that makes it known what are the causes of stability.