2. A company has established a project team to identify a location for a new manufacturing facility. Use a weighted scoring model to analyze three candidate locations (A, B, C) for setting up the new factory. The relative weights for each criterion are shown in the following table. A score of 1 represents unfavorable, 2 satisfactory, and 3 favorable. Location Category Labor costs Labor productivity202 Labor supply Union relations Material supply Transport costs Infrastructure Weight ABC 20 31 10 10 10 25 3. Compare your answer in Problem 2 to the answer you would have found if you had used an unweighted, 0-1 scoring model. Assume that a score of 1 means does not qualify and a 2 or 3 means it does qualify. (Hint: build a 0-1 scoring model, using x, count the total) https://d2vlcm61l7u1fs.cloudfront.net/media%2F179%2F1793dedf-608d-448c-a2be-d70cf3eb9134%2FphpEgh11l.png

For a score of 1 I will give a score of 0 and for a score of 2 and 3 the score will be 1 (on the basis of 0-1 scoring model).
0 means does not qualify and 1 means will qualify. You can use the “if” function in excel also. For instance for labor costs of A the function will be: if(given score>1,1,0). What this will do is that for each score of greater than 1 a score of 1 will be alloted in the 0-1 scoring model. If score is 1 then a 0 will be allotted.
Score for A:
Category A’s given score 0-1 scoring model
Labor costs 1 0
Labor productivity 2 1
Labor supply 2 1
Union relations 3 1
Material supply 2 1
Transport costs 1 0
Infrastructure 2 1
Count 5
Total no. of “1” score for A = 5.
Similarly for B and C:
Category B’s given score 0-1 scoring model C’s given score 0-1 scoring model
Labor costs 2 1 3 1
Labor productivity 3 1 1 0
Labor supply 1 0 3 1
Union relations 3 1 2 1
Material supply 1 0 1 0
Transport costs 2 1 3 1
Infrastructure 2 1 2 1
B’s count 5 C’s count 5
As the count is same for all the 3 locations (A,B,C all have a count of 5) all three locations are equally favorable.
 
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