Aspen Plastics produces plastic bottles to customer order. The quality inspector randomly selects four bottles from the bottle machine and measures the outside diameter of the bottle neck, a critical quality dimension that deter- mines whether the bottle cap will fit properly. The dimensions (in.) from the last six samples are Questions : Assume that only these six samples are sufficient, and use the data to determine control limits for an R- and an x-chart. Suppose that the specification for the bottle neck di- ameter is 0.600 { 0.050 and the population standard deviation is 0.013 in. What is the Process Capability Index? The Process Capability Ratio? If the firm is seeking four-sigma performance, is the process capable of producing the bottle?

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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Aspen Plastics produces plastic bottles to customer order. The quality inspector randomly selects four bottles from the bottle machine and measures the outside diameter
of the bottle neck, a critical quality dimension that deter- mines whether the bottle cap will fit properly. The dimensions (in.) from the last six samples are

Questions :

  1. Assume that only these six samples are sufficient, and use the data to determine control limits for an R- and an x-chart.

  2. Suppose that the specification for the bottle neck di- ameter is 0.600 { 0.050 and the population standard deviation is 0.013 in. What is the Process Capability Index? The Process Capability Ratio?

  3. If the firm is seeking four-sigma performance, is the process capable of producing the bottle?

ВОTTLE
Sample
1
2
3
4
1
0.594
0.622
0.598
0.590
0.587
0.611
0.597
0.613
0.571
0.580
0.595
0.602
4
0.610
0.615
0.585
0.578
0.580
0.624
0.618
0.614
6
0.585
0.593
0.607
0.569
2.
3.
Transcribed Image Text:ВОTTLE Sample 1 2 3 4 1 0.594 0.622 0.598 0.590 0.587 0.611 0.597 0.613 0.571 0.580 0.595 0.602 4 0.610 0.615 0.585 0.578 0.580 0.624 0.618 0.614 6 0.585 0.593 0.607 0.569 2. 3.
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