Quality assurance : philosophies, methods, and technologies / Kenneth L Arnold.
Publisher: [S.l.] : McGraw-Hill Science/Engineering/Math, 1994Edition: 1st edDescription: 409 p. ; 25 cmISBN: 0028023331; 9780028023335Subject(s): Environmental science, engineering & technology | Production & quality control management | Quality Assurance (QA) & Total Quality Management (TQM) | Business & Economics | Technology & Industrial Arts | Business/Economics | Business & Economics / Quality Control | Manufacturing | Quality Control | TECHNOLOGY / Manufacturing | Technology & Engineering / Manufacturing | Technology & Engineering / Mechanical | Total Quality Management | General | Quality assurance | Management Techniques: ProfessionalDDC classification: 658.562 Online resources: Amazon.com | Amazon customer reviews Summary: No prerequisites are required for this introductory quality assurance text. The book's three sections include an overview of the popular philsophies in quality assurance, including an explanation of the purposes of basic tools; a discussion of special inspection techniques, along with nondestructive examination methods; and a description of the statistics commonly used in quality control, with an emphasis on probability distributions. The authors also explain how and why certain statistical functions are used in specific situations. Each stand-alone section of Quality Assurance can be taught in the order preferred by the instructor.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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Central Library (CL) | Central Library (CL) | 658.562 (Browse shelf) | Available | NBS12345 |
Hardcover.
No prerequisites are required for this introductory quality assurance text. The book's three sections include an overview of the popular philsophies in quality assurance, including an explanation of the purposes of basic tools; a discussion of special inspection techniques, along with nondestructive examination methods; and a description of the statistics commonly used in quality control, with an emphasis on probability distributions. The authors also explain how and why certain statistical functions are used in specific situations. Each stand-alone section of Quality Assurance can be taught in the order preferred by the instructor.
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