Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring
The decision regarding acceptance or rejection of a lot of products may be considered through variables acceptance sampling plans based on suitable quality characteristics. A variables sampling plan to determine the acceptability of a lot of products based on the lifetime of the products is called r...
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Veröffentlicht in: | Computational statistics & data analysis 2015-03, Vol.83, p.91-100 |
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description | The decision regarding acceptance or rejection of a lot of products may be considered through variables acceptance sampling plans based on suitable quality characteristics. A variables sampling plan to determine the acceptability of a lot of products based on the lifetime of the products is called reliability acceptance sampling plan (RASP). This work considers the determination of optimum RASP under cost constraint in the framework of hybrid censoring. Weibull lifetime models are considered for illustrations; however, the proposed methodology can be easily extended to any location-scale family of distributions. The proposed method is based on asymptotic results of the estimators of parameters of lifetime distribution. Hence, a Monte Carlo simulation study is conducted in order to show that the sampling plans meet the specified risks for finite sample size. |
doi_str_mv | 10.1016/j.csda.2014.10.002 |
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Hence, a Monte Carlo simulation study is conducted in order to show that the sampling plans meet the specified risks for finite sample size.</description><subject>Acceptance</subject><subject>Acceptance sampling</subject><subject>Asymptotic properties</subject><subject>Computation</subject><subject>Computer simulation</subject><subject>Consumer’s risk</subject><subject>Mathematical models</subject><subject>MIL-STD-105D</subject><subject>Monte Carlo methods</subject><subject>Monte-Carlo simulation</subject><subject>Optimization</subject><subject>Optimum sampling plan</subject><subject>Producer’s risk</subject><subject>Sampling</subject><subject>Statistical methods</subject><subject>Type-I hybrid censoring</subject><subject>Type-II hybrid censoring</subject><issn>0167-9473</issn><issn>1872-7352</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLxDAUhYMoOI7-AVdZuumYNH2k4EYGXzDgRndCyONWM7RNTFJh_r0p49rVhXO_c7nnIHRNyYYS2tzuNzoauSkJrbKwIaQ8QSvK27JoWV2eolWG2qKrWnaOLmLck0xULV-hj60b_Zxksm7CrsfOJzvOIw4wWKnsYNMBS63BJzlpwFGOfrDTJ_aDnCK2E_YBIiyrbP46qGAN1jBFFzJ1ic56OUS4-ptr9P748LZ9LnavTy_b-12hGWOp4J3mpJe8JIbmb5XSHXSK1oqQRivFjGxLrjJa6ao1ulbUSMKA9z2XVFYNW6Ob410f3PcMMYnRRg1D_hHcHAVtmo43dUOrjJZHVAcXY4Be-GBHGQ6CErFUKfZiqVIsVS5aLiqb7o4myCF-LAQRtV1CGxtAJ2Gc_c_-C1p1frI</recordid><startdate>20150301</startdate><enddate>20150301</enddate><creator>Bhattacharya, Ritwik</creator><creator>Pradhan, Biswabrata</creator><creator>Dewanji, Anup</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150301</creationdate><title>Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring</title><author>Bhattacharya, Ritwik ; Pradhan, Biswabrata ; Dewanji, Anup</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-89c80fa820d1352bbc9e9b15b006cbb3da728b3334c47dc5b1da03e8ff8a1a463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Acceptance</topic><topic>Acceptance sampling</topic><topic>Asymptotic properties</topic><topic>Computation</topic><topic>Computer simulation</topic><topic>Consumer’s risk</topic><topic>Mathematical models</topic><topic>MIL-STD-105D</topic><topic>Monte Carlo methods</topic><topic>Monte-Carlo simulation</topic><topic>Optimization</topic><topic>Optimum sampling plan</topic><topic>Producer’s risk</topic><topic>Sampling</topic><topic>Statistical methods</topic><topic>Type-I hybrid censoring</topic><topic>Type-II hybrid censoring</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bhattacharya, Ritwik</creatorcontrib><creatorcontrib>Pradhan, Biswabrata</creatorcontrib><creatorcontrib>Dewanji, Anup</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computational statistics & data analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bhattacharya, Ritwik</au><au>Pradhan, Biswabrata</au><au>Dewanji, Anup</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring</atitle><jtitle>Computational statistics & data analysis</jtitle><date>2015-03-01</date><risdate>2015</risdate><volume>83</volume><spage>91</spage><epage>100</epage><pages>91-100</pages><issn>0167-9473</issn><eissn>1872-7352</eissn><abstract>The decision regarding acceptance or rejection of a lot of products may be considered through variables acceptance sampling plans based on suitable quality characteristics. 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subjects | Acceptance Acceptance sampling Asymptotic properties Computation Computer simulation Consumer’s risk Mathematical models MIL-STD-105D Monte Carlo methods Monte-Carlo simulation Optimization Optimum sampling plan Producer’s risk Sampling Statistical methods Type-I hybrid censoring Type-II hybrid censoring |
title | Computation of optimum reliability acceptance sampling plans in presence of hybrid censoring |
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