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OCTOBER 19-20, 2012 - YMCA University of Science & Technology

OCTOBER 19-20, 2012 - YMCA University of Science & Technology

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Proceedings <strong>of</strong> the National Conference on<br />

Trends and Advances in Mechanical Engineering,<br />

<strong>YMCA</strong> <strong>University</strong> <strong>of</strong> <strong>Science</strong> & <strong>Technology</strong>, Faridabad, Haryana, Oct <strong>19</strong>-<strong>20</strong>, <strong>20</strong>12<br />

EVALUATION OF IDEAS FOR PANEL BODY ASSEMBLY BY<br />

DECISION MATRIX<br />

Narender Kumar a* and Vineet Jain b<br />

a Department <strong>of</strong> Mechanical Engineering, Dronacharya College <strong>of</strong> Engineering Farukh Nagar, Gurgaon<br />

Email: narenderiitd@gmail.com<br />

b Department <strong>of</strong> Mechanical Engineering, Deep institute <strong>of</strong> engineering and <strong>Technology</strong>, Gurgaon,<br />

Email: vjdj<strong>20</strong>04@gmail.com<br />

ABSTRACT<br />

Evaluation phase aims at development <strong>of</strong> value alternatives which is accomplished by careful appraisal and<br />

creative judgment to the ideas which were listed during creativity phase. During the process <strong>of</strong> development, we<br />

should ensure that the product is not cheapened or degrade i.e. there is no reduction in product quality,<br />

performance, reliability, maintainability or other aspects below the requirements <strong>of</strong> customer. In this technique,<br />

decision matrix method is used to find out the performance score for different alternatives and then value score<br />

with the help <strong>of</strong> the cost <strong>of</strong> the alternatives. This comparison will give the team best workable solution for the<br />

problem at lowest cost without degrading the quality or value or the product.<br />

1. INTRODUCTION<br />

The evaluation <strong>of</strong> alternatives can be done on multiplicity <strong>of</strong> attributes- both tangible and intangible. The<br />

decision matrix approach is very effective way <strong>of</strong> multi-criteria evaluation and to find the ranking <strong>of</strong> the<br />

proposals. The attributes / factors for each assembly / component are given in their respective functional<br />

worksheets.<br />

In this technique, decision matrix method is used to find out the performance score for different alternatives and<br />

then value score with the help <strong>of</strong> the cost <strong>of</strong> the alternatives. This comparison will give the team best workable<br />

solution for the problem at lowest cost without degrading the quality or value or the product.<br />

In this first decision matrix for attributes is made by paired comparison <strong>of</strong> attributes. To decide the importance<br />

<strong>of</strong> a function following weight factor are considered and allotted to the function depending on the difference<br />

between them as explained in function phase previously. Once the attributes and their weights have been<br />

established, the next task is to use them in evaluating the alternatives selected from the feasibility ranking and<br />

comparison technique. At this point, it is assumed that all ideas that have survived i.e. accepted meet all minimal<br />

basic functions <strong>of</strong> the user.<br />

The criteria elements are entered on the top <strong>of</strong> the evaluation matrix their weight <strong>of</strong> importance just below. The<br />

following steps are used to rank the alternatives:<br />

(i) Find the percentage weights <strong>of</strong> the relevant attributes for each function by paired comparison.<br />

(ii) Rank the acceptable alternatives by comparing with each other for each attribute selected in step 1.<br />

(iii) Multiply the ranks <strong>of</strong> each alternative with weight for each attribute calculated in step 2 and subtotal it<br />

as performance score.<br />

(iv) Fine the value score by dividing performance score by cost <strong>of</strong> alternative.<br />

(v) Select the alternative with highest value score as the most optimal solution.<br />

Following the above procedure the evaluation worksheet for all poor value functions is made and given below as<br />

decision matrix. Attribute used in decision matrix are given by the following alphabets:<br />

A = Ease <strong>of</strong> implementation E = Safety<br />

B = Ease <strong>of</strong> maintenance F= Reliability<br />

C = Ease <strong>of</strong> operation<br />

G = Productionisation<br />

D = Endurance (Life)<br />

H = Ruggedness<br />

Functional development worksheets have only one acceptable alternative and these alternatives have direct cost<br />

saving besides the following advantages:<br />

(i) Simple design<br />

(ii) Ease <strong>of</strong> maintenance<br />

(iii) Spares readily available<br />

(iv) Life <strong>of</strong> the component is as good as the existing<br />

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