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Titel: Statistical Quality Control for the Food ...
0412076616 Fine. Second edition. * Quality, Value, Experience. Buchnummer des Verkäufers BING769RM008
Inhaltsangabe: Considering the ability of food processing companies to consistently manu facture safe foods with uniform quality over the past 20 or 30 years without these new tools and new systems, one might expect that quality control improvements would be marginal. On the other hand, these changes have already provided sub stantial opportunities for process and product improvement. This second edition is intended to update the basic concepts and discuss some of the new ones. Preface to the First Edition 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 de parture is delayed due to a mechanical failure-these are rather ordinary annoy ances which we have come to accept as normal occurrences. 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 hys teria. 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 dif ficult-to-open package or a leaking container. There is no tolerance for failure of food products.
Inhaltsangabe: Presenting information on setting up and running a quality control programme, this volume details techniques for assuring the continuous safe production of uniform food, recognizing that, unlike other industrial quality control situations, there is no tolerance for failure of food products. The book explains underlying concepts and uses real world examples to illustrate statistical techniques. It provides specific "how to" information for sampling, test methods, product specifications, process capability, design of experiments and vendor quality assurance.
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