EVALUATION OF PROCESS CAPABILITY IN MANUFACTURE OF ANTIHYPERTENSIVE TABLETS 10 MG
DOI:
https://doi.org/10.22159/ajpcr.2017.v10i4.17161Abstract
Background of the Study: A Process Capability Study is a formal procedure for undertaking a systematic investigation to reliably assess a process ability to consistently meet a specific requirement. Its indices are to measure the inherent variability of a process and thus to reflect its performance.
Objective: The present study describes the evaluation of Process capability in the manufacture of Anti-hypertensive tablets 10 mg.
Materials and Methods: This project focuses on Process Capability Study that had been applied in Pharmaceutical industry which includes selection of critical parameters, data collection, study on process capability and data evaluation. In this process capability study the critical process parameters were identified and evaluated by challenging its lower and upper release specifications. Here many statistical process control tools along with Minitab-16 software were used to find the capability of this manufacturing process.
Results and Discussion: The discovered results for Ppk (Process performance index), tolerance limit and Standard deviation (overall) are 2.25, 40 and 2.949, which advocates that the process meets the criteria required for capability. Process capability ensures that processes are fit for industry company specification while reduce the process variation and important in achieving product quality characteristic. This capability study should be employed in the industry before the batch is made commercial. It acts as a cost effective approach that can reduce the time taken for inspection.
Conclusion: In this research work the current capability of the process is predicted and the process is found to be capable.
Keywords: Process capability, Specifications, Critical parameters.
Downloads
References
Britz GC. Improving Performance through Statistical thinking; 1996. Available from: Business and economics management [Cited 26 Dec 2013]. URL: www.books.gooogle.com>Business&Economics>Managment.
American Society for Quality; Walter A Shewhart: father of statistical quality control; 9 November 2005; cited on 23 Oct 2013; URL: www.asq.org.
Feigenbaum AV. Quality control: principles, practice and administration. 2nd edition, 8 Jan 2008. Published by: McGraw-Hill, 1951. Available from: Business & Economics, Management.
Ishikawa K. Guide to Quality control- Industrial engineering and technology. 2nd edition, Published by: Asian productivity Organization, 1986. Digitalized 15 Dec 2007. Available from: Business & Economics, Management.
Devor, Richard E, Chang, Tsong-how, Sutherland, John W. (1992); Statistical Quality Design and Control; Macmillan Publishing, New York, NY; cited on 5 Jan 2014; URL: www.public.iastate.edu/ref.html
Walton M. The Deming Management Method- Perigee Book- Perigee Series. Published by: Penguin 1986. Available from: Business & Economics/Total Quality Management.
Deming WE. On Probability as a basis for a action†1953; The American Statistician; Volume 29; pg.146-152.
Oakland JS. Statistical Process Control, 5th edition, published by Butterworth-Heinemann an imprint of Elsevier Science, Linacre House, Jordan Hill, Oxford 2003.
Gan FF. An Introduction to Statistical Process Control, 1990. Available from: Taylor & Francis Online. [Cited on 25 Oct 2013]. URL: www.tandfonline.com.
Leaven good W, Statistical Process Control. Chapter 8.July 2005. Available from: Centre for Innovation in Mathematics and Teaching.
Howard D. The Basics of Statistical Process Control & Process behavior charting- A User’s Guide to SPC edition. Oct 2003, Management –New Style Chislehurst Kent, England.
Rohokale BS, Jadhav VM, Kadam VJ. Studies in process development of Metformin HCl tablet dosage formulation. Int J Pharm Pharm Sci.2010;2(4):80-82
Kumar AK, NV Gupta, Kashyap UN, Pavan KV. A review on latest guidelines on process validation of european medicines agency. Int J Pharm Pharm Sci.2014;6(2):16-18
Wheeler DJ, Chambers DS; Understanding statistical process control. 2 Jun 2010; second edition; Statistical Process Controls, Incorporated 1992.
Published
How to Cite
Issue
Section
The publication is licensed under CC By and is open access. Copyright is with author and allowed to retain publishing rights without restrictions.