Statistical Quality Control for the Food Industry

Statistical Quality Control for the Food Industry by Merton R. Hubbard.

If an automobile tire leaks or an electric light switch fails, if we are short­ changed at a department store or erroneously billed for phone calls not made, if a plane departure is delayed due to a mechanical failure - these are rather ordinary annoyances which we have come to accept as normal occu...

Full description

Saved in:
Bibliographic Details
Main Author: Hubbard, Merton R. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 1990.
Edition:1st ed. 1990.
Series:Springer eBook Collection.
Subjects:
Quality control.
Reliability.
Industrial safety.
Food—Biotechnology.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • 1 Introduction
  • Variability
  • Quality Control Programs of the 1980s
  • Problems with Tool Selection
  • Quality Control Tools
  • 2 Food Quality Systems
  • Policy
  • Quality Control Manual
  • Product Research and Development
  • Material Control
  • Production Quality Control
  • Departmental Relationships
  • Product Performance
  • Corrective Action
  • Quality Personnel
  • 3 Control Charts
  • The Importance of Charting
  • Procedure for Constructing X-Bar and R Charts
  • Procedures for Constructing Attribute Charts
  • 4 Fundamentals
  • Analysis of Data
  • Probability
  • Binomial Distribution
  • Poisson Distribution
  • The Normal Distribution
  • t-Distribution
  • F-Distribution
  • Analysis of Variance
  • 5 Sampling
  • Sampling Plans
  • Why Sample?
  • Samples from Different Distributions
  • Sample Size
  • How to Take Samples
  • Types of Samples
  • Types of Sampling Plans
  • Types of Inspection
  • Classes of Defects
  • Sampling Risks
  • Selection of Population to be Sampled
  • Selection of Sample Frequency and Location
  • Attribute Sampling Plans
  • 6 Test Methods
  • Basic Library
  • Recommended References
  • Test Methods
  • Industry Test Methods
  • 7 Product Specifications
  • 8 Process Capability
  • Capability Index
  • 9 Process Control
  • Chart Patterns
  • 10 Sensory Testing
  • The Senses
  • Sensory Testing Methods
  • Types of Panels
  • Selection and Training of Panels
  • 11 Net Content Control
  • Evaluation of Net Content Performance
  • 12 Design of Experiments
  • Elimination of Extraneous Variables
  • Handling Many Factors Simultaneously
  • Experimental Design Analysis by Control Chart
  • 13 Vendor Quality Assurance
  • Vendor-Vendee Relations
  • Specifications for Raw Materials, Ingredients, and Supplies
  • Quality Assurance of Purchased Goods
  • Selecting and Nurturing a Supplier
  • 14 Implementing a Quality Control Program
  • Management Commitment
  • Getting Started
  • An In-House Program
  • Stepwise Procedures for Team Problem Solving
  • Programs without Management Support
  • Training Quality Control Technicians
  • Summary.

Similar Items