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A D V A N C E D

M A T E R I A L S

&

P R O C E S S E S |

A P R I L

2 0 1 7

2 1

selection. An example of a PUGH matrix

is shown in Fig. 5.

Cause & Effects (C&E) concept selec­

tion

. The C&E matrix

[7]

is also construct-

ed using the data and information from

the supplier and in-house testing. Key

process inputs are used to create an

importance rating. Scoring is based on

materials properties evaluation. The re-

sulting concept selection matrix for cur-

rent performance compared with new

materials is given by the C&E matrix.

The criteria for each material choice

are rated on a scale of 1 to 10 based on

importance to the customer. Each ma-

terial concept is rated using 0, 1, 3, and

9, with 9 showing a strong correlation.

The matrix displays total scoring for

each material concept based on which

selection can be made.

At this point, concept selection

can be narrowed down based on rank-

ings and ratings from PUGH and C&E

matrices. An example of a C&E matrix is

shown in Fig. 6.

SUMMARY

Using a six sigma, statistics-based

approach for selecting materials of-

fers a unique way to compare different

options for use in various applications.

The materials selection template is

used to identify the optimal process and

supplier. The statistical tools are fairly

easy to use and provide a clear picture

of how to capture the correct voices

within a business to create the key re-

quirements a material must meet. CPT

and QFD tools lay out critical-to-quality

measures translated as material prop-

erties linked to key requirements. QFD

provides the first point of differenti-

ation between materials, and bench-

marks current performance and current

requirements. PUGH and C&E matrices

evaluate material choices and define

clear ranking between materials. At this

point, materials can be selected based

on the final ranking defined by PUGH

and C&E. Thematerial selection process

template also identifies critical points

where these statistical tools should be

used. This type of selection process is

both quick and effective.

~AM&P

For more information:

Karteek Ke-

savamatham is principal product

engineer−materials, ZF TRW, 34605

Twelve Mile Rd., Farmington Hills, MI

48331, 248.699.4592,

karteek.kesav- amatham@trw.com

.

References

1. M.F. Ashby andK. Johnson,

Materials

and Design, the Art and Science of

Materials Selection in Product Design

,

Butterworth-Heinemann Ed., Oxford,

UK, 2002.

2. K.G. Swift and J.D. Booker,

Manu­

facturing Process Selection Handbook

,

Butterworth-Heinemann Ed., Oxford,

UK, 2013.

3. T. Pyzdek and P. Keller,

The Six Sigma

Handbook

, McGraw-Hill, 3rd Ed., 2010.

4. G.L. Duffy and J.W. Moran,

Quality

Function Deployment

, Am. Soc. for

Quality, 2010,

http://asq.org/quality- press/display-item=E1382.

5. Critical to Quality – CTQ

, iSixSigma,

http://www.isixsigma.com/dictionary/ critical-to-quality-ctq/

.

6. PUGH Decision Matrix

, Am. Soc. for

Quality,

http://asq.org/learn-about- qua l i t y /de c i s i on -mak i ng - t oo l s / overview/decision matrix.

7. R. Pereira, Cause & Effect Matrix,

Gemba Academy, 2007, <blog.gemba­

academy.com/2007/06/11/need-help-

making-decisions/>.

Fig. 6 −

C&E concept selection matrix.