Merton R. Hubbard

Statistical Quality Control for the Food Industry (eBook, PDF)

• Format: PDF

Produktbeschreibung

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 occur rences. Contrast this with failure of a food product. If foreign matter is found in a food, if a product is discolored or crushed, if illness or discomfort occurs when a food product is eaten-the consumer reacts with anger, fear, and sometimes mass hysteria. The offending product is often returned to the seller, or a disgruntled letter is written to the manufacturer. In an extreme case, an expensive law suit may be filed against the company. The reaction is almost as severe if the failure is a difficult-to-open package or a leaking container. There is no tolerance for failure of food products. Dozens of books on quality written for hardware or service industries discuss failure rates, product reliability, serviceability, maintainability, warran ty, and repair. Manufacturers in the food industry cannot use these measure ments: food reliability must be 100%, failure rate 0%. Serviceability, main tainability, warranty, and repair are meaningless terms to food processors.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 282
• Erscheinungstermin: 17. April 2013
• Englisch
• ISBN-13: 9781475711974
• Artikelnr.: 43987955

Inhaltsangabe

1 Introduction.- Variability.- Quality Control Programs.- Problems with Tool Selection.- Quality Control Tools.- 2 Food Quality System.- The Formalized Quality System.- Quality System Guidelines.- Malcolm Baldridge National Quality Award.- Total Quality Management.- Team Quality Systems.- Computer Network Quality Systems.- Summary.- 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.- The Normal Distribution.- Distribution of Sample Means.- Normal Approximation to the Binomial Distribution.- t-Distribution.- Confidence Limits for the Population Mean.- Statistical Hypotheses-Testing Hypotheses.- Distribution of the Difference Between Means.- Paired Observations.- F-Distribution.- Analysis of Variance.- Two Criteria of Classification.- 5 Sampling.- Sampling Plans.- Why Sample?.- Samples from Different Distributions.- Sample Size.- How to Take Samples.- Types of Samples.- Sampling Plans.- Types of Inspection.- Classes of Defects.- Sampling Risks.- Selection of Population to be Sampled.- Selection of Sample Frequency and Location.- Hazard Analysis Critical Control Point.- Attribute Sampling Plans.- 6 Test Methods.- General Analysis.- Special Instrumentation.- Microbiology.- Sensory.- 7 Product Specifications.- 8 Product Capability.- Capability Index.- Benchmarking.- 9 Process Control.- Chart Patterns.- Using the Control Chart as a Quality Management Tool.- 10 Sensory Testing.- The Senses.- Sensory Testing Methods.- Types of Panels.- Selection and Training.- 11 Net Content Control.- Evaluation of Net Content Performance.- Interpreting Net Content Control.- Procedures for Setting Fill Targets.- 12 Design ofExperiments.- Elimination of Extraneous Variables.- Handling many Factors Simultaneously.- Full Factorial Designs.- Fractional Factorial Designs.- Response Surface Designs.- Mixture Designs.- Experimental Design Analysis by Control Chart.- 13 Vendor Quality Assurance.- Vendor-Vendee Relations.- Specifications for Raw Materials, Ingredients, Supplies.- Quality Assurance of Purchased Goods.- Selecting and Nurturing a Supplier.- Packaging Supplier Quality Assurance.- Supplier Certification Programs.- 14 Implementing a Quality Control Program.- Management Commitment.- Getting Started.- An In-House Program.- Team Quality Systems.- Stepwise Procedures for Team Problem Solving.- Programs without Management Support.- Training Quality Control Technicians.- Summary.- 15 The Computer and Process Control.- Computer Integrated Management.- Artificial Intelligence and Expert Systems.- Computer-controlled Processing.- Summary.- 16 Six-Sigma.- Summary.- References.