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Books > Business & Economics > Economics
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Short-Run SPC for Manufacturing and Quality Professionals (Paperback)
Loot Price: R1,114
Discovery Miles 11 140
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Short-Run SPC for Manufacturing and Quality Professionals (Paperback)
Expected to ship within 12 - 17 working days
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On the manufacturing shop floor, the principle of "value comes from
the production of parts rather than charts" crucially applies when
using practical statistical process control (SPC). The production
worker should need to enter only a sample's measurements to get
immediately actionable information as to whether corrective action
(e.g., as defined by a control plan's reaction plan) is necessary
for an out-of-control situation, and should not have to perform any
calculations, draw control charts, or use sophisticated statistical
software. This book's key benefit for readers consists of
spreadsheet-deployable solutions with all the mathematical
precision of a vernier along with the simplicity of a stone ax.
Traditional SPC relies on the assumption that sufficient data are
available with which to estimate the process parameters and set
suitable control limits. Many practical applications involve,
however, short production runs for which no process history is
available. There are nonetheless tested and practical control
methods such as PRE-Control and short-run SPC that use the product
specifications to set appropriate limits. PRE-Control relies solely
on the specification limits while short-run SPC starts with the
assumption that the process is capable-that is, at least a 4-sigma
process, and works from there to set control limits. Cumulative Sum
(CUSUM) and exponentially weighted moving average (EWMA) charts
also can be used for this purpose. Specialized charts can also
track multiple part characteristics, and parts with different
specifications, simultaneously. This is often useful, for example,
where the same tool is engaged in mixed-model production. Readers
will be able to deploy practical and simple control charts for
production runs for which no prior history is available and control
the processes until enough data accumulate to enable the
traditional methods (assuming it ever does). They will be able to
track multiple product features with different specifications and
also control mixed-model applications in which a tool generates
very short runs of parts with different specifications. The methods
will not require software beyond readily available spreadsheets,
nor will they require specialized tables that are not widely
available. Process owners and quality engineers will be able to
perform all supporting calculations in Microsoft Excel, and without
the need for advanced software.
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