The Maintenance of Statistical Process Control (SPC) with Organizational Behavior Management (OBM) Techniques
| Author | : Pollis Robertson |
| Publisher | : |
| Total Pages | : 238 |
| Release | : 1993 |
| Genre | : Industrial management |
| ISBN | : |
The Maintenance Of Statistical Process Control Spc With Organizational Behavior Management Obm Techniques
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Statistical Process Control in Industry
| Author | : R.J. Does |
| Publisher | : Springer Science & Business |
| Total Pages | : 266 |
| Release | : 1999-01-31 |
| Genre | : Mathematics |
| ISBN | : 9780792355700 |
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.
Management Methods for Quality Improvement Based on Statistical Process Control: A Literature and Field Survey
| Author | : Archester Houston |
| Publisher | : |
| Total Pages | : 56 |
| Release | : 1986 |
| Genre | : |
| ISBN | : |
The Navy is currently working to increase the size of the Fleet without corresponding increases in the maintenance budget. In light of that situation, it is critical that the Navy adopt management systems such as statistical process control (SPC) to achieve and maintain quality (Taft, 1985). SPC management approaches are intended to improve an organization's productivity and product or service quality by reducing variation in the work process. These approaches have been found to improve performance in a variety of industrial settings. The requirements in order to implement SPC management approaches in naval repair and maintenance organizations, however, still must be determined. The purposes of this research were to: (1) identify the basic characteristics of SPC management approaches, (2) distinguish among the major SPC management approaches, (3) determine the suitability of commercial SPC training programs for use in naval facilities, (4) identify those conditions within naval repair and maintenance organizations necessary for the development of SPC management approaches, and (5) begin to identify policies and practices in naval repair and maintenance facilities that inhibit use of SPC management approaches.
Statistical Process Control For Quality Improvement- Hardcover Version
| Author | : J. Koronacki |
| Publisher | : Chapman and Hall/CRC |
| Total Pages | : 456 |
| Release | : 2001-12-26 |
| Genre | : Business & Economics |
| ISBN | : 9781584882428 |
While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. The first edition of this groundbreaking text showed that the SPC paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use. Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?
Statistical Process Control for the Food Industry
| Author | : Sarina A. Lim |
| Publisher | : John Wiley & Sons |
| Total Pages | : 200 |
| Release | : 2019-05-28 |
| Genre | : Business & Economics |
| ISBN | : 1119151988 |
A comprehensive treatment for implementing Statistical Process Control (SPC) in the food industry This book provides managers, engineers, and practitioners with an overview of necessary and relevant tools of Statistical Process Control, a roadmap for their implementation, the importance of engagement and teamwork, SPC leadership, success factors of the readiness and implementation, and some of the key lessons learned from a number of food companies. Illustrated with numerous examples from global real-world case studies, this book demonstrates the power of various SPC tools in a comprehensive manner. The final part of the book highlights the critical challenges encountered while implementing SPC in the food industry globally. Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers explores the opportunities to deliver customized SPC training programs for local food companies. It offers insightful chapter covering everything from the philosophy and fundamentals of quality control in the food industry all the way up to case studies of SPC application in the food industry on both the quality and safety aspect, making it an excellent "cookbook" for the managers in the food industry to assess and initiating the SPC application in their respective companies. Covers concise and clear guidelines for the application of SPC tools in any food companies' environment Provides appropriate guidelines showing the organizational readiness level before the food companies adopt SPC Explicitly comments on success factors, motivations, and challenges in the food industry Addresses quality and safety issues in the food industry Presents numerous, global, real-world case studies of SPC in the food industry Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers can be used to train upper middle and senior managers in improving food quality and reducing food waste using SPC as one of the core techniques. It's also an excellent book for graduate students of food engineering, food quality management and/or food technology, and process management.
Statistical Process Control
| Author | : G. Barrie Wetherill |
| Publisher | : Springer |
| Total Pages | : 400 |
| Release | : 2013-08-02 |
| Genre | : Technology & Engineering |
| ISBN | : 9781489929501 |
Statistical process control (SPC) is now recognized as having a very important role to play in modern industry. Our aim in this book has been to present SPC techniques in a simple and clear way, and also to present some of the underlying theory and properties of the techniques. This volume arises partly out of a revision of Wetherill (1977), and partly out of experience in teaching and implementing SPC at industrial sites, especially with ICI. It would have been impossible to come to our present understanding of this field without the joint efforts of industry and university. A number of features of this book are new: (1) The special emphasis on process industry problems, including one at-a-time data. (2) The discussion of between and within-group variation, and the effects of this on charting and on process capability analysis. (3) The derivation of the properties of the techniques has not been gathered together before. (4) The presentation of sampling by variables contains many new features. The techniques themselves are presented in a very simple way by using 'method summaries', and these could be a basis for training when SPC is implemented.
