The Application Of Statistical Process Control In The Pharmaceutical And Biotechnology Industries PDF Download
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| Author | : T Cochrane |
| Publisher | : Elsevier |
| Total Pages | : 0 |
| Release | : 2029-01-01 |
| Genre | : Medical |
| ISBN | : 9781908818362 |
Download The Application of Statistical Process Control in the Pharmaceutical and Biotechnology Industries Book in PDF, ePub and Kindle
Innovative new technology now allows the measurement and collection of data throughout many manufacturing processes previously unavailable. The The Application of Statistical Process Control in the Pharmaceutical and Biotechnology Industries is a starting point for anyone who has been tasked to use technology to measure and collect data to gain an understanding of their processes in order to improve and control lengthy, complex supply chains in the pharmaceutical industry. It is a practical guide on how to apply statistical process control (SPC) within the pharmaceutical industry. It encourages all those involved in the industry - whether it be production, quality or the regulatory bodies - to start assessing data in a different way. This book delivers a way of viewing data that is both simple and easy to understand and relates to our understanding of the world in which we work. The first book to describe SPC in the pharmaceutical and biotechnology industries Highly practical approach Contains many case studies showing the application of SPC
| Author | : Manuel E. Pena-Rodriguez |
| Publisher | : Quality Press |
| Total Pages | : 205 |
| Release | : 2013-04-11 |
| Genre | : Business & Economics |
| ISBN | : 0873898524 |
Download Statistical Process Control for the FDA-Regulated Industry Book in PDF, ePub and Kindle
The focus of this book is to understand and apply the different SPC tools in a company regulated by the Food and Drug Administration (FDA): those that manufacture pharmaceutical products, biologics, medical devices, food, cosmetics, and so on. The book is not intended to provide an intensive course in statistics; instead, it is intended to provide a how-to guide about the application of the diverse array of statistical tools available to analyze and improve the processes in an organization regulated by FDA. This book is aimed at engineers, scientists, analysts, technicians, managers, supervisors, and all other professionals responsible to measure and improve the quality of their processes. Although the examples and case studies presented throughout the book are based on situations found in an organization regulated by FDA, the book can also be used to understand the application of those tools in any type of industry. Readers will obtain a better understanding of some of the statistical tools available to control their processes and be encouraged to study, with a greater level of detail, each of the statistical tools presented throughout the book. The content of this book is the result of the authors almost 20 years of experience in the application of statistics in various industries, and his combined educational background of engineering and law that he has used to provide consulting services to dozens of FDA-regulated organizations.
| Author | : Brian K. Nunnally |
| Publisher | : CRC Press |
| Total Pages | : 222 |
| Release | : 2007-06-13 |
| Genre | : Mathematics |
| ISBN | : 1420054406 |
Download Six Sigma in the Pharmaceutical Industry Book in PDF, ePub and Kindle
Six Sigma in the Pharmaceutical Industry is the first book to introduce the fundamentals of Six Sigma, examine control chart theory and practice, and explain the concept of variation management and reduction applied specifically to the pharmaceutical industry. The first half lays out a conceptual framework for understanding variation, while the second half introduces control chart theory and practice. Using case studies and statistics, the book illustrates the concepts and explains their application to actual workplace improvements. Providing the basis for a complete operating philosophy, this book focuses on core concepts and their implementation to improve the existing products and processes in the pharmaceutical industry.
| Author | : Cenk Undey |
| Publisher | : CRC Press |
| Total Pages | : 330 |
| Release | : 2011-12-07 |
| Genre | : Medical |
| ISBN | : 1439829454 |
Download PAT Applied in Biopharmaceutical Process Development And Manufacturing Book in PDF, ePub and Kindle
As with all of pharmaceutical production, the regulatory environment for the production of therapeutics has been changing as a direct result of the US FDA-initiated Quality by Design (QbD) guidelines and corresponding activities of the International Committee for Harmonization (ICH). Given the rapid growth in the biopharmaceutical area and the complexity of the molecules, the optimum use of which are still being developed, there is a great need for flexible and proactive teams in order to satisfy the regulatory requirements during process development. Process Analytical Technologies (PAT) applied in biopharmaceutical process development and manufacturing have received significant attention in recent years as an enabler to the QbD paradigm. PAT Applied in Biopharmaceutical Process Development and Manufacturing covers technological advances in measurement sciences, data acquisition, monitoring, and control. Technical leaders present real-life case studies in areas including measuring and monitoring raw materials, cell culture, purification, and cleaning and lyophilization processes via advanced PAT. They also explore how data are collected and analyzed using advanced analytical techniques such as multivariate data analysis, monitoring, and control in real-time. Invaluable for experienced practitioners in PAT in biopharmaceuticals, this book is an excellent reference guide for regulatory officials and a vital training aid for students who need to learn the state of the art in this interdisciplinary and exciting area.
| Author | : Lanju Zhang |
| Publisher | : Springer |
| Total Pages | : 705 |
| Release | : 2016-01-13 |
| Genre | : Medical |
| ISBN | : 3319235583 |
Download Nonclinical Statistics for Pharmaceutical and Biotechnology Industries Book in PDF, ePub and Kindle
This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods important to the nonclinical science areas within the pharmaceutical and biotechnology industries. Specifically the Discovery and Translational sciences, the Safety/Toxiology sciences, and the Chemistry, Manufacturing and Controls sciences. Drug discovery and development is a long and costly process. Most decisions in the drug development process are made with incomplete information. The data is rife with uncertainties and hence risky by nature. This is therefore the purview of Statistics. As such, this book aims to introduce readers to important statistical thinking and its application in these nonclinical areas. The chapters provide as appropriate, a scientific background to the topic, relevant regulatory guidance, current statistical practice, and further research directions.
| Author | : Richard K. Burdick |
| Publisher | : Springer |
| Total Pages | : 379 |
| Release | : 2017-02-14 |
| Genre | : Medical |
| ISBN | : 3319501860 |
Download Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry Book in PDF, ePub and Kindle
This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader. The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.
| Author | : Neslihan Delacruz |
| Publisher | : Biota Publishing |
| Total Pages | : 38 |
| Release | : 2010-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 161504115X |
Download Process Monitoring and Quality by Design for Biotechnology Products Book in PDF, ePub and Kindle
Traditional pharmaceutical development is an unwieldy process requiring extensive experimentation and long lead times before process scientists can fully understand the effect that process parameters such as pH, temperature, cell viability, or process yield may have on the product acceptability. Implementation of quality by design is a science-based approach that allows the operating ranges and the acceptance criteria to be established based on the impact on product quality attributes. During manufacturing, process monitoring becomes part of a continuous verification effort and statistical control limits can be used to signal potential trends or drifts in the process. Single manufacturing batches that are aberrant are readily identified. The melding of scientific understanding, information systems architecture, instrumentation, software, and personnel training provides a large return on investment by ensuring that the manufacturing process produces a consistent pharmaceutical product that meets acceptable release standards for human use. Table of Contents: Abbreviations / Introduction / From the Traditional Development Path to Quality by Design / Continuous Process Verification and Process Monitoring / Process Monitoring and Statistical Control Limits / Multivariate Analysis: A Mature State of Statistical Process Monitoring / Conclusion / Bibliography
| Author | : J. Bert Keats |
| Publisher | : CRC Press |
| Total Pages | : 530 |
| Release | : 1996-03-15 |
| Genre | : Science |
| ISBN | : 9780824797119 |
Download Statistical Applications in Process Control Book in PDF, ePub and Kindle
This work presents significant advances and new methods both in statistical process control and experimental design. It addresses the management of process monitoring and experimental design, discusses the relationship between control charting and hypothesis testing, provides a new index for process capability studies, offers practical guidelines for the design of experiments, and more.
| Author | : Todd Coffey |
| Publisher | : CRC Press |
| Total Pages | : 358 |
| Release | : 2018-05-16 |
| Genre | : Mathematics |
| ISBN | : 1498721419 |
Download Statistics for Biotechnology Process Development Book in PDF, ePub and Kindle
Written specifically for biotechnology scientists, engineers, and quality professionals, this book describes and demonstrates the proper application of statistical methods throughout Chemistry, Manufacturing, and Controls (CMC). Filled with case studies, examples, and easy-to-follow explanations of how to perform statistics in modern software, it is the first book on CMC statistics written primarily for practitioners. While statisticians will also benefit from this book, it is written particularly for industry professionals who don’t have access to a CMC statistician or who want to be more independent in the design and analysis of their experiments. Provides an introduction to the statistical concepts important in the biotechnology industry Focuses on concepts with theoretical details kept to a minimum Includes lots of real examples and case studies to illustrate the methods Uses JMP software for implementation of the methods Offers a text suitable for scientists in the industry with some quantitative training Written and edited by seasoned veterans of the biotechnology industry, this book will prove useful to a wide variety of biotechnology professionals. The book brings together individual chapters that showcase the use of statistics in the most salient areas of CMC.
| Author | : R.J. Does |
| Publisher | : Springer Science & Business |
| Total Pages | : 266 |
| Release | : 1999-01-31 |
| Genre | : Mathematics |
| ISBN | : 9780792355700 |
Download Statistical Process Control in Industry Book in PDF, ePub and Kindle
During the past decade interest in quality management has greatly increased. One of the central elements of Total Quality Management is Statistical Process Control, more commonly known as SPC. This book describes the pitfalls and traps which businesses encounter when implementing and assuring SPC. Illustrations are given from practical experience in various companies. The following subjects are discussed: implementation of SPC, activity plan for achieving statistically controlled processes, statistical tools, and lastly, consolidation and improvement of the results. Also, an extensive checklist is provided with which a business can determine to what extent it has succeeded in the actual application of SPC. Audience: This volume is written for companies which are going to implement SPC, or which need a new impetus in order to get SPC properly off the ground. It will be of interest in particular to researchers whose work involves statistics and probability, production, operation and manufacturing management, industrial organisation and mathematical and quantitative methods. It will also appeal to specialists in engineering and management, for example in the electronic industry, discrete parts industry, process industry, automotive and aircraft industry and food industry.
