Monitoring Patents Using the Statistical Process Control
Commenced in January 2007
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Edition: International
Paper Count: 32799
Monitoring Patents Using the Statistical Process Control

Authors: Stephanie Russo Fabris, Edmara Thays Neres Menezes, Ruirogeres dos Santos Cruz, Lucio Leonardo Siqueira Santos, Suzana Leitao Russo

Abstract:

The statistical process control (SPC) is one of the most powerful tools developed to assist ineffective control of quality, involves collecting, organizing and interpreting data during production. This article aims to show how the use of CEP industries can control and continuously improve product quality through monitoring of production that can detect deviations of parameters representing the process by reducing the amount of off-specification products and thus the costs of production. This study aimed to conduct a technological forecasting in order to characterize the research being done related to the CEP. The survey was conducted in the databases Spacenet, WIPO and the National Institute of Industrial Property (INPI). Among the largest are the United States depositors and deposits via PCT, the classification section that was presented in greater abundance to F.

Keywords: Statistical Process Control, Industries

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1061358

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[1] Alencar, JRB; Souza, JMB; ROLIM, NPJ; LOPES, CE Use of Statistical Process Control (SPC) for Process Validation Glibenclamide Tablets. Journal of Pharmacy, 115-9, 2004.
[2] PALADINI, EP Strategic Evaluation of Quality, St. Paul, Atlas, P. 64-114, 2002.
[3] PALADINI, EP Quality Control: A Comprehensive Approach, New York, Atlas, p. 127-167, 1990.
[4] PINTON, DH Statistical Process Control, New York Magazine, IMES, 1997.
[5] SILVA, L.S.C.V. Application of Statistical Process Control in the Dairy Industry Lactoplasa: A Case Study. (Dissertation).Florianópolis, Santa Catarina Federal UNiversity, 1999.