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Acceptance sampling plan of quality inspection for ocean dataset.
- Source :
- Journal of Spatial Science; Sep2015, Vol. 60 Issue 2, p329-339, 11p
- Publication Year :
- 2015
-
Abstract
- Compared with the dataset of industrial products, ocean datasets have several distinct characteristics, such as large quantities and being multi-source, multi-dimension and multi-type. Based on the acceptance quality level (AQL) and limit quality level (LQL), we designed an acceptance sampling plan of quality inspection for ocean datasets (ASP-OD), used this plan to inspect ocean dataset quality, and evaluated its advantage. ASP-OD has a consistent and stable discriminatory power independent of lot size, which solves the problem of ‘strictness for large lot size, toleration for small lot size’ in the percent sampling plan. ASP-OD establishes a relationship between lot size and sampling size, and provides a plan for a given lot size. This plan overcomes the deficiency of ISO 2859-based sampling plans, different lot size corresponding to the same sampling plan, in the quality inspection of ocean datasets. Collectively, this study suggests that ASP-OD is a suitable sampling plan for the inspection of ocean dataset quality. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 14498596
- Volume :
- 60
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Spatial Science
- Publication Type :
- Academic Journal
- Accession number :
- 111241557
- Full Text :
- https://doi.org/10.1080/14498596.2015.1030790