Dodge-Romig plans revisited

Single sampling inspection plans proposed by Dodge and Romig have been critically examined in respect of the distribution of the number of defectives in a sample as and also the requirement of customer’s risk being equal to 0.10. The problem of determining the plan parameters has been formulated...

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Main Author: Shyamaprasad Mukherjee
Format: Article
Published: Penerbit ukm 2009
Online Access:http://journalarticle.ukm.my/1899/
http://journalarticle.ukm.my/1899/
id ukm-1899
recordtype eprints
spelling ukm-18992011-06-16T06:56:28Z http://journalarticle.ukm.my/1899/ Dodge-Romig plans revisited Shyamaprasad Mukherjee, Single sampling inspection plans proposed by Dodge and Romig have been critically examined in respect of the distribution of the number of defectives in a sample as and also the requirement of customer’s risk being equal to 0.10. The problem of determining the plan parameters has been formulated as a non-linear integer programming, a non-zero-sum (bi-matrix) game problem between the producer and the customer, and also as problem in (non-statistical) decision analysis. Further, the requirement about a given customer’s risk has been considered as a fuzzy constraint in a fuzzy nonlinear integer programming problem which can be eventually solved in terms of two non-linear integer programming problems, assuming a trapezoidal membership function. Different optimality criteria for determining the plan parameters as constituting the strategies in a decision matrix, where states of nature correspond to various plausible values of lot fraction defective and the pay-off is the average amount of inspection, have been considered. Finally, the author indicates how this analysis is relevant to a wide class of statistical decision problems, particularly many non-parametric tests Penerbit ukm 2009-07 Article PeerReviewed Shyamaprasad Mukherjee, (2009) Dodge-Romig plans revisited. Journal of Quality Measurement and Analysis, 5 (1). pp. 1-7. ISSN 1823-5670 http://www.ukm.my/~ppsmfst/jqma/index.html
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institution_category Local University
institution Universiti Kebangasaan Malaysia
building UKM Institutional Repository
collection Online Access
description Single sampling inspection plans proposed by Dodge and Romig have been critically examined in respect of the distribution of the number of defectives in a sample as and also the requirement of customer’s risk being equal to 0.10. The problem of determining the plan parameters has been formulated as a non-linear integer programming, a non-zero-sum (bi-matrix) game problem between the producer and the customer, and also as problem in (non-statistical) decision analysis. Further, the requirement about a given customer’s risk has been considered as a fuzzy constraint in a fuzzy nonlinear integer programming problem which can be eventually solved in terms of two non-linear integer programming problems, assuming a trapezoidal membership function. Different optimality criteria for determining the plan parameters as constituting the strategies in a decision matrix, where states of nature correspond to various plausible values of lot fraction defective and the pay-off is the average amount of inspection, have been considered. Finally, the author indicates how this analysis is relevant to a wide class of statistical decision problems, particularly many non-parametric tests
format Article
author Shyamaprasad Mukherjee,
spellingShingle Shyamaprasad Mukherjee,
Dodge-Romig plans revisited
author_facet Shyamaprasad Mukherjee,
author_sort Shyamaprasad Mukherjee,
title Dodge-Romig plans revisited
title_short Dodge-Romig plans revisited
title_full Dodge-Romig plans revisited
title_fullStr Dodge-Romig plans revisited
title_full_unstemmed Dodge-Romig plans revisited
title_sort dodge-romig plans revisited
publisher Penerbit ukm
publishDate 2009
url http://journalarticle.ukm.my/1899/
http://journalarticle.ukm.my/1899/
first_indexed 2023-09-18T19:34:39Z
last_indexed 2023-09-18T19:34:39Z
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