The critical role of NIR spectroscopy and statistical process control (SPC) strategy towards captopril tablets (25 mg) manufacturing process understanding: a case study

2013 ◽  
Vol 20 (3) ◽  
pp. 345-351 ◽  
Author(s):  
Cátia Panizzon Dal Curtivo ◽  
Nathália Bitencourt Funghi ◽  
Guilherme Diniz Tavares ◽  
Sávio Fujita Barbosa ◽  
Raimar Löbenberg ◽  
...  
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Manufacturing Process ◽  
Critical Role ◽  
Nir Spectroscopy ◽  
Statistical Process ◽  
Process Understanding

Case study: the use of statistical process control in fish product packaging

Food Control ◽  
1998 ◽  
Vol 9 (5) ◽  
pp. 289-297 ◽  
Author(s):  
Nigel P. Grigg ◽  
Jeannette Daly ◽  
Marjorie Stewart
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Statistical Process ◽  
Product Packaging ◽  
Fish Product

Statistical Process Control for Process Improvement in Industry: A Case Study

2015 ◽  
Vol 21 (5) ◽  
pp. 1094-1098
Author(s):  
Sin Yin Teh ◽  
Heng Chin Low ◽  
Ping Chow Teoh
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Process Improvement ◽  
Statistical Process

scholarly journals The Impact of Statistics in Industry and the Role of Statisticians

2016 ◽  
Vol 30 (1) ◽  
pp. 7-20
Author(s):  
Ronald J.M.M. Does ◽  
Albert Trip
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Six Sigma ◽  
Practical Experience ◽  
Successful Implementation ◽  
Statistical Process ◽  
Quality Program ◽  
Quality Programs ◽  
The Impact

The use of statistics in quality management has a long history. Pioneers in this field, such as Walter A. Shewhart and W. Edwards Deming, refer to themselves as industrial statisticians. Statistical thinking in industry means that all work is regarded as a series of interconnected processes, that all processes show variation, and that a reduction in variation is the key for continuous improvement. In literature we find several quantitative quality programs to achieve this. We may mention Statistical Process Control (SPC)and the Six Sigma quality program, among others. We have implemented Statistical Process Control and Six Sigma in several industries. In this paper we briefly describe the philosophies of both programs and the steps needed for a successful implementation. Based on practical experience with both programs we describe the role that a statistician can play in industry. We shall also give an overview of research initiated by the projects we have carried out.

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