Comparison of Sampling Plans by Variables using the Bootstrap and Monte Carlo Simulations

• Type: Article in International Conference Proceedings Book
• Date: 2014

Authors

Fernanda Figueiredo (Author) FEP; Adelaide Figueiredo (Author) FEP; Gomes, MI (Author) Other

Conference proceedings International

Title: INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014)

Pages: 535-538

International Conference of Computational Methods in Sciences and Engineering 2014 (ICCMSE)

Athens, GREECE, APR 04-07, 2014

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00A-2CK

DOI: 10.1063/1.4897793

Abstract (EN): We consider two sampling plans by variables to inspect batches of products from an industrial process under a context of unknown distribution underlying the measurements of the quality characteristic under study. Through the use of the bootstrap methodology and Monte Carlo simulations we evaluate and compare the performance of those sampling plans in terms of probability of acceptance of lots and average outgoing quality level.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4