Volume 37, Issue 2 (IJIEPR- In Progress 2026)                   IJIEPR 2026, 37(2): 43-53 | Back to browse issues page

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Velappan K, Arumugam N. Reliability Acceptance Sampling for Life Time Assessment of Finished Pharmaceutical Products in Smart Manufacturing Industries Under Compound Distribution. IJIEPR 2026; 37 (2) :43-53
URL: http://ijiepr.iust.ac.ir/article-1-2106-en.html
Reliability Acceptance Sampling for Life Time Assessment of Finished Pharmaceutical Products in Smart Manufacturing Industries Under Compound Distribution
Kaviyarasu Velappan1 , Nagarajan Arumugam2
1- Department of Statistics, Bharathiar University, Coimbatore, Tamilnadu , India
2- Department of Statistics, Bharathiar University, Coimbatore, Tamilnadu , India , nagarajan.statistics@buc.edu.in
Abstract:   (1939 Views)
The quality of pharmaceutical devices determines an entity's effectiveness in fulfilling its intended functions for patients. Statistical quality control entails the utilization of statistical methodologies to oversee and enhance the quality of processes and products. In the realm of the pharmaceutical industry, Reliability Acceptance Sampling Plans (RASP) entail inspecting a sample of items to ascertain whether the entire batch adheres to prescribed quality benchmarks, thereby curbing inspection expenses while upholding quality assurance of medical devices. The special Type of Double Sampling (STDS) plan constitutes a subset of reliability acceptance sampling plans that employ dual sampling stages to ascertain the batch acceptance or rejection of products or materials. This article develops a new methodology by employing the Special Type of Double Sampling plan under Exponential–Poisson (EP) distribution for the mean life when the product life test is truncated at a specified time.t0 ’. The minimum sample size ‘n’ required to guarantee the attainment of the designated mean life ‘β0 ’ within a predetermined consumer's risk. The Operational Characteristic (OC) function values are acquired based on varying tiers of quality and the minimum mean ratio of the real mean lifetime.β ’ to the designated mean lifetime ‘β0 ’ under the designated producer's risk are developed. Moreover, to enhance the comprehension of the proposed methodology, a numerical illustration accompanied by a real-world scenario that is applicable to the pharmaceutical industry is presented.
Keywords: Reliability, Special Type of Double Sampling plan, Exponential – Poisson distribution, Truncated life test, Pharmaceutical Industry.
Full-Text [PDF 842 kb]   (83 Downloads)    
Type of Study: Research | Subject: Quality Control
Received: 2024/09/1 | Accepted: 2025/11/29 | Published: 2026/06/20
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