by Merton R. Hubbard

Choosing a Quality Control System is aimed at food product, process and service organizations, and will be of interest to Quality Control managers, upper management in smaller food industry companies, process engineers, production managers.

Key Features:

• Pros and cons of current quality control systems
• Procedures to consider when modifying or constructing an effective system
• How to select and combine methods to create an effective system
• Basic engineering methods, non-statistical methods based on team efforts, and statistic methods, with computer application assistance

There are over 24 quality control systems recommended for the control and improvement of quality and process; there are over 30 techniques and buzzwords suggested for implementing these systems and to assist in learning about these systems and techniques; there are well over 200 courses, seminars, programs, and conferences available. This book discusses the pros and cons of these many alternatives, suggests how an effective system can be assembled or reconstructed by selecting and combining some basic engineering methods, some non-statistical methods based on team efforts, and seven statistical tools, with computer application assistance.

Choosing a Quality Control System presents—in clear and simple terms—the needs, goals, cautions, and suggested procedures you should consider when modifying or constructing an effective system for your company.

Contents

1. Introduction: Choices and Obstacles. Company Quality Goals.
2. Obstacles in Quality Control Training: Quality Definitions. Differing Company Goals. Buzzwords. Confused Growth of Educational Offerings. People Problems. Some Solutions.
3. Implementing Quality: The Quarterly Financial Report. People: The Second Most Serious Obstacle to Quality Improvement. Rewarding Suggestions and Improved Skills. Introducing New Quality Control Techniques. Continuous Quality Improvement.
4. Quality and Process Solutions: Engineering Method: Engineering and Intuition.
5. Quality and Process Solutions: Non-Statistical Methods: Team Selection and Training. Examples of Team Success. Team Failures. A Team with a Long History.
6. Computerized Quality Solutions and Risks: Statistical Methods: Computer Programs. The Seven Basic Tools. Risks. Benefits of Computer.
7. Making the Right Choice: Mechanics of Choosing (or Improving) Quality and Process.

Index.

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