Abstract
The acceptance sampling plan plays an important role in maintaining the high quality of a product. The variable control chart, using classical statistics, helps in making acceptance or rejection decisions about the submitted lot of the product. Furthermore, the sampling plan, using classical statistics, assumes the complete or determinate information available about a lot of product. However, in some situations, data may be ambiguous, vague, imprecise, and incomplete or indeterminate. In this case, the use of neutrosophic statistics can be applied to guide the experimenters. In this paper, we originally proposed a new variable sampling plan using the neutrosophic interval statistical method. The neutrosophic operating characteristic (NOC) is derived using the neutrosophic normal distribution. The optimization solution is also presented for the proposed plan under the neutrosophic interval method. The effectiveness of the proposed plan is compared with the plan under classical statistics. The tables are presented for practical use and a real example is given to explain the neutrosophic fuzzy variable sampling plan in the industry.
Highlights
In this modern era, there is a strict competition between the companies to earn good reputation in the market
A rich variety of variable sampling plans under the fuzzy approach and classical statistics is available in the literature, according to the best of the author’s knowledge, there is no work on the design of a variable sampling plan using the neutrosophic interval method
A new variable neutrosophic variable sampling plan is proposed in this paper
Summary
There is a strict competition between the companies to earn good reputation in the market. Inspection of a lot of product is done using the acceptance sampling plans. Sampling plans are designed to give those parameters for the inspection of a lot of product, where these two risks are satisfied. These variability causes create vagueness in the measurement system” In this situation, the sampling plans designed use the fuzzy logic. A rich variety of variable sampling plans under the fuzzy approach and classical statistics is available in the literature, according to the best of the author’s knowledge, there is no work on the design of a variable sampling plan using the neutrosophic interval method. We originally proposed a new variable sampling plan using the neutrosophic interval statistical method.
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