Optimal double acceptance sampling inspection plans based on inverted Nadarajah-Haghighi distribution

Purpose: In this paper, we present optimal single acceptance sampling inspection plans for Inverted Nadarajah-Haghighi distribution so that the consumer’s and producer’s risks are controlled simultaneously.Methodology: Nonlinear optimization program is used to obtain the optimal sample size and acce...

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Bibliographic Details
Main Authors: Mehran Naghizadeh Qomi, Zohre Mahdizadeh
Format: Article
Language:fas
Published: Ayandegan Institute of Higher Education, Tonekabon, 2024-09-01
Series:تصمیم گیری و تحقیق در عملیات
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Online Access:https://www.journal-dmor.ir/article_211089_db6644a230056fdeeb947e9d59558a1d.pdf
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Summary:Purpose: In this paper, we present optimal single acceptance sampling inspection plans for Inverted Nadarajah-Haghighi distribution so that the consumer’s and producer’s risks are controlled simultaneously.Methodology: Nonlinear optimization program is used to obtain the optimal sample size and acceptance number as well as the associated consumer’s and producer’s risks.Findings: Optimal sample size and acceptance number are obtained in generalized half-normal distribution. Two real data sets are given for illustrating the results.Originality/Value: Two-point method is used to find the best plan by using nonlinear programing optimization problem. All computations are performed by the R software.
ISSN:2538-5097
2676-6159