Paper Info
Title
A Variable Acceptance Sampling Plan under Neutrosophic Statistical Interval Method.
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.
Year
DOI
Venue
2019
10.3390/sym11010114
SYMMETRY-BASEL
Keywords
Field
DocType
optimization solution,sampling plan,producer's risk',consumer's risk,sample size
Combinatorics,Normal distribution,Producer's risk,Fuzzy logic,Acceptance sampling,Control chart,Sampling (statistics),Statistics,Consumer's risk,Mathematics,Sample size determination
Journal
Volume
Issue
Citations 
11
1
2
PageRank 
References 
Authors
0.37
9
1
Name
Order
Citations
PageRank
Muhammad Aslam129679.45