Materials Enabled Designs

Author: Michael Pfeifer
Publisher: Butterworth-Heinemann
ISBN: 9780080941837
Size: 74.74 MB
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To improve chronically low yields, manufacturing teams engage in a continuous
improvement process during which they gain knowledge through experiential
learning and controlled experiments using the production line as a laboratory.
Experiential learning is knowledge gained while making improvised corrections
to design and process problems. The trouble with this type of learning is that
knowledge is gained at the expense of continued poor production yields. The
problem with ...

The Six Sigma Revolution

Author: George Eckes
Publisher: John Wiley & Sons
ISBN: 0471436801
Size: 14.88 MB
Format: PDF
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This is my favorite quality tool because if I look back on the more dramatic
successes I have experienced with clients, they almost always involved formal,
designed experiments. This tool is so near and dear to me that I published my
first book, Manufacturing Improvement through Design of Experiment in 1990 (
through the consulting organization, Tech Center Courseware). Many people
think designed experimentation is difficult. One possible reason is the emphasis
so many ...

Enterprise Networks And Logistics For Agile Manufacturing

Author: Lihui Wang
Publisher: Springer Science & Business Media
ISBN: 9781849962445
Size: 36.26 MB
Format: PDF, ePub
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Kounis, L.D., O'Sullivan, J.M. and McAndrew, I.R., 1998, “Relationships between
capability indices and signal-to-noise ratios for use in the manufacturing industry,
” In Proceedings of the 14th National Conference on Manufacturing Research,
Advances in Manufacturing Technology-XII, pp. 785–790. Moen, R.D., Nolan,
T.W. and Provost, L.P., 1999, Quality Improvement through Planned
Experimentation, 2nd edn., McGraw-Hill, Columbus, OH. Peace, G., 1996,
Taguchi Methods, ...

Collaborative Manufacturing

Author: Michael McClellan
Publisher: CRC Press
ISBN: 1420025341
Size: 33.10 MB
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Improve through experimentation at the Bedrock Rules lowest level possible
towards the ideal state to all levels to achieve a “zero-waste” value system. To
accomplish this, it will be necessary to provide demand visibility, process visibility
, and appropriate time buffers. Each requires on-line, real-time collaboration. In
the current literature regarding manufacturing management techniques, some
ideas appear over and over again. Mass customization, or the individualization of
products, ...

The Supply Chain In Manufacturing Distribution And Transportation

Author: Kenneth D. Lawrence
Publisher: CRC Press
ISBN: 9781420079524
Size: 34.37 MB
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DSLP constitutes the “analytical architecture” needed to sustain continual
improvement for Logistics Transformation (Figure 5.13). Collectively, CILS and
DSLP have the potential to accelerate the process of management innovation by
building a capacity for low-risk experimentation using a credible, synthetic
environment. This cycle sustains continuous improvement through a deliberative
process of incremental innovation achieved through experimentation, prototyping
, and field ...

Manufacturing Process Design And Optimization

Author: Rhyder
Publisher: CRC Press
ISBN: 9780824799090
Size: 78.61 MB
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Noise Factors The other category of input factors we need to examine are noise
factors.2 This category, from Dr. Genichi Taguchi's approach to experimentation,
refers to inputs which influence process characteristic outputs, but are either
unknown, or too difficult or expensive to control. They are often overlooked when
examining process performance or attempting process improvement through
experimentation. Noise factors can be divided into two categories: inner noise
and outer ...

Information Technology And Product Development

Author: Satish Nambisan
Publisher: Springer Science & Business Media
ISBN: 9781441910813
Size: 10.95 MB
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In conclusion, it is hoped that this chapter will provide valuable insights regarding
the promise and potential of the IT-based KMS to facilitate and support
improvement of development and manufacturing processes through
experimentation. As noted in the beginning of this chapter, the use of
experimentation in this context has received very limited attention from
researchers. This chapter has hopefully provided a foundation to build further
knowledge in this area. References Alavi, M.

Improving Quality Through Planned Experimentation

Author: Ronald D. Moen
Publisher: McGraw-Hill College
ISBN: 9780070426733
Size: 32.29 MB
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How do we design a product to work under the wide range of conditions that will
be encountered during actual production and use by the customer? • How do we
choose the best operating conditions for a manufacturing process among the
hundreds of choices? Improvement through Learning The key factor for success
in improvement of quality is learning. It is through learning that improvements in
products and services are made. The methods of planned experimentation
presented ...

Quality Improvement Through Statistical Methods

Author: Bovas Abraham
Publisher: Springer Science & Business Media
ISBN: 1461217768
Size: 71.16 MB
Format: PDF, Mobi
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21.2 Case Study 1 - Frame Soldering Process Improvement A company is
engaged in manufacturing radio frequency component, namely tuner. The tuners
have to undergo the entire assembly process, which involves frame soldering
process, where various feed through capacitors are soldered in the frame. During
assembly the ... 21.2.1 Experimentation After discussion with the concerned
technical personnel of the frame soldering process, following factors and levels
were chosen.