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Chapter 2 Modelling Quality and Warranty Cost - Mathematics in ...

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34 CHAPTER 2. MODELLING QUALITY AND WARRANTY COST<br />

200<br />

160<br />

154<br />

1<br />

0.9<br />

160<br />

140<br />

150<br />

155<br />

152<br />

150<br />

0.8<br />

0.7<br />

120<br />

100<br />

0 0.5 1<br />

q1<br />

158<br />

150<br />

0 0.5 1<br />

q2<br />

180<br />

148<br />

0 0.5 1<br />

q3<br />

156<br />

SDE<br />

0.6<br />

0.5<br />

100<br />

80<br />

156<br />

154<br />

152<br />

160<br />

140<br />

154<br />

152<br />

0.4<br />

0.3<br />

60<br />

150<br />

0 0.5 1<br />

q4<br />

154<br />

120<br />

0 0.5 1<br />

q5<br />

154<br />

150<br />

0 0.5 1<br />

q6<br />

154<br />

0.2<br />

40<br />

152<br />

153<br />

153.5<br />

0.1<br />

20<br />

150<br />

152<br />

153<br />

0<br />

0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1<br />

Component Failure Rate<br />

(a)<br />

148<br />

0 0.5 1<br />

q7<br />

151<br />

0 0.5 1<br />

q8<br />

(b)<br />

152.5<br />

0 0.5 1<br />

q9<br />

Figure 2.5: Behaviour of the quality function. (a) Trend <strong>in</strong> cost of quality as a function of component<br />

failure rate J K <strong>and</strong> SDE JTv . (b) Trend of cost of quality <strong>in</strong> <strong>in</strong>dividual attributes J>c .<br />

EK Here E ªK , Ežv , E ª v , ÈTN , È ªN , ÈÉP , ÈTg , È ªg , ÈTw , Èx , ÈÉS , È ªS , are constant parameters which need to be determ<strong>in</strong>ed<br />

by fitt<strong>in</strong>g actual data to the model.<br />

The first term of the hardware <strong>and</strong> software portions <strong>in</strong> this model capture the importance of the<br />

component failure J K rate <strong>and</strong> the software development JOv environment <strong>in</strong> the overall cost model. As<br />

decreases, the overall likelihood of failure decreases. This improvement costs more, especially after<br />

JMK<br />

a certa<strong>in</strong> threshold is achieved. Improvements beyond this level are <strong>in</strong>creas<strong>in</strong>gly expensive, as captured<br />

by an exponential function with the negative exponent. On the other h<strong>and</strong>, as JTv SDE <strong>in</strong>creases, the<br />

software development environment becomes better <strong>and</strong> thus costs more. These trends are captured <strong>in</strong><br />

Figures 2.5(a) <strong>and</strong> (b).<br />

The terms collected <strong>in</strong> equation (2.8) under hardware describe the effects of the <strong>in</strong>fant mortality<br />

JON rate , the diagnostics JTP capability <strong>and</strong> the work<strong>in</strong>g environment JOg range . In terms of the overall<br />

hardware quality costs, these are higher-order effects <strong>in</strong> the sense that their contribution may not be<br />

as significant as that of the component failure JMK rate, . This reason<strong>in</strong>g dictated the functional relationships<br />

as be<strong>in</strong>g at best quadratic. Similarly, the costs collected under software describe the effects of<br />

controll<strong>in</strong>g the code JTw complexity <strong>and</strong> the stability JMx <strong>in</strong>dex . These costs contribute less significantly<br />

to the overall quality costs for the software than the software development JTv environment . Indeed,<br />

the effects of <strong>in</strong>creas<strong>in</strong>g the coverage test<strong>in</strong>g <strong>and</strong> decreas<strong>in</strong>g the fault density are captured (to a large<br />

extent) by the cost JTv of , <strong>and</strong> are therefore ignored <strong>in</strong> this cost model. The trends of the cost as each of<br />

these attributes vary is pictured graphically <strong>in</strong> Figure 2.5. The results us<strong>in</strong>g the test data are described<br />

<strong>in</strong> Section 2.8.<br />

2.5 The <strong>Warranty</strong> <strong>Cost</strong>s<br />

<strong>Warranty</strong> costs can be broadly broken up <strong>in</strong>to the hardware <strong>and</strong> software costs, <strong>and</strong> we thus modelled<br />

each of these separately. As <strong>in</strong> the cost of quality, the dom<strong>in</strong>ant factors <strong>in</strong>volved are the component

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