Control panel

Tvab02
timer Asked: Nov 8th, 2017

Question Description



Control Charts

Magnum Magnetics makes induction meters used in vending machines to test the validity of coins. Their specifications require the induction reading capability of the meters to fall between 0.25 and 0.50 Tesla (T) units. Quality analysts took a random test readings of 30 meters (shown below).

  • Using Microsoft Excel® or similar software with statistical capability, construct a run chart from the individual readings.
  • Interpret what the data show. Does the process appear to be in control?
  • What might be some possible causes of different out-of-control indicators?

Refer to this week’s lecture before crafting your post. Respond to at least two of your classmates’ posts.

Extra: The two links listed below are YouTube videos on creating control charts using Microsoft Excel®.

DataReadings


1

0.39

2

0.38

3

0.33

4

0.36

5

0.43

6

0.37

7

0.34

8

0.34

9

0.44

10

0.37

11

0.42

12

0.35

13

0.39

14

0.33

15

0.37

16

0.36

17

0.39

18

0.36

19

0.41

20

0.35

21

0.40

22

0.35

23

0.35

24

0.38

25

0.42

26

0.41

27

0.40

28

0.35

29

0.37

30

0.33

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ReplyReply to Main Discussion
  • COLLAPSE SUBDISCUSSIONKyle Gunther

    Kyle Gunther

    Manage Discussion Entry
    Starter thread for week 5 Design for Excellence (DFX) is an emerging concept that includes many design related initiatives such as concurrent engineering, design for manufacturability, design for assembly, design for environment, and other “design for” approaches (Evans, 2011). These design for approaches include; Design for maintainability, design for sustainability, design for supply chain, design for logistics, design for recycling (Becker, 2013). DFX objectives include higher functional performance, physical performance, user friendliness, reliability and durability, maintainability and serviceability, safety, compatibility and upgradeability, environmental friendliness, and psychological characteristics Evans, 2011). My company closely relates environmental impact, quality and cycle time reduction through Design for Sustainability – designing products that have less impact on the environment across its entire life cycle. In a recent project an aluminum casting that had a high scrap rate was redesigned. The redesign resulted in an elimination of scrap and used less material to produce the same product. The impact was not only lower cost, higher quality and shorter cycle time, but the impact on the environmental was decreased through the use of less material, less energy and less wasted material in the form of machining chips. High levels of awareness about energy efficiency and environmental issues and social challenges, as well as more strict regulatory frameworks, are providing incentives for companies in developed economies to rethink established product design. Design for Sustainability referred to as sustainable product design, is a globally recognized method for companies to improve profit margins, product quality, market opportunities, environmental performance, and social benefits. Basic techniques include cleaner production methods, such as increasing energy efficiency, using recycled materials, designing for recyclability, reducing toxic materials, extending product life, and providing services in new ways (Design).Reference:Kyle Becker, J. (2013). A template for design for excellence (dfx) methods. Retrieved from http://link.springer.com/chapter/10.1007/978-3-642-30817-8_4 (Links to an external site.)Links to an external site.Design for sustainability. (n.d.). Retrieved from http://www.unep.org/resourceefficiency/Business/CleanerSaferProduction/Eco-Innovation/DesignforSustainability/tabid/78845/Default.aspxEvans, J., & Lindsay, W. (2011). Managing for quality and performance excellence (8th ed.). Mason, OH: South-Western Cengage. ISBN: 9780324783209 ReplyReply to Comment
    • COLLAPSE SUBDISCUSSIONSamuel Burley

      Samuel Burley

      Manage Discussion Entry
      The results of quality characteristics for the 30 meters with specifications of .025 +_ 0.50 Tesla units. The mean is .374667, and the standard deviation of the sample is .031154. The upper and lower control limits are computed to be three standard deviations from the overall mean. The run chart indicates the process appears in control. All points lie within the control limits, and no unusual patterns exist. The number of points above and below the center line is about the same and fall randomly. Most points, not all, are near the center line. The resulting chart appears to be in control, and the distribution of sample mean is normal. These characteristics will hold provided that the mean and variance of the original data have not changed, the process is stable as well. ReferenceEvans, J., & Lindsay, W. (2011). Managing for quality and performance excellence (8th Ed.). Mason, OH: South-Western Cengage. ISBN: 9780324783209Week 5 Discussion 2.xlsx ReplyReply to Comment

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