Statistical engineering
Article Abstract:
Shainin statistical engineering can be used to detect the source of quality problems in production procedures. This quality management approach is widely used by companies in industries as diverse as aerospace, steel and health equipment manufacturing. The Shainin method differs from traditional engineering protocols in that it relies on the analysis of subtle causes of variation in products. As such, it does not rely on specialized knowledge of technology but concentrates instead on statistical analysis techniques such as clue generation and distribution measurement.
Publication Name: Quality
Subject: Engineering and manufacturing industries
ISSN: 0360-9936
Year: 1992
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Automating quality improvement
Article Abstract:
The Shainin Assistant software helps engineers solve critical technical problems that involve variations in a manufacturing process. Marion Software, under an exclusive licensing agreement with Dorian Shainin's Shainin Consultants, operates under the Microsoft Windows 3.0 or 3.1 platform and requires a two-Mbyte PC 286. The Shainin system has provided solutions to over 800 clients from diverse industries ranging from paper products to electronic test equipment.
Publication Name: Quality
Subject: Engineering and manufacturing industries
ISSN: 0360-9936
Year: 1992
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The quality connection: how do you get beyond SPC?
Article Abstract:
Statistical process control (SPC) systems track a single characteristic and raise alarms when measurements are beyond specified limits. SPC detects variations in the process such as shift alarms caused by a well-behaved variable's sudden shift, or cycling alarms caused by measurements that alternate between two different levels. Statistical problem solving, design of experiment or Taguchi methods are also used to detect complex dependencies.
Publication Name: Quality
Subject: Engineering and manufacturing industries
ISSN: 0360-9936
Year: 1992
User Contributions:
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