Selection of an off-Highway Vehicle Using Customer Perspectives
Autor: Rachel • October 24, 2017 • 2,278 Words (10 Pages) • 656 Views
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3. CASE STUDY AND ADOPTED METHODOLOGY :
A case study of a construction company requiring with a massive volume of transportation of loose materials will now be analyzed to scale this adopted method. The company wishes to buy a number of heavy duty Off-highway vehicles for its transportation purposes . The basic operation to be performed by a Off-highway vehicle in that firm is material handling for its smooth production . A committee consisting of managers from various departments considered 5 latest Off-highway vehicle models that can perform the desired tasks. The 5 Off-highway vehicle models chosen for this particular case study are Eicher Terra 25 , Tata LPK-2518 ,Mahindra Navistar MN25 , Bharat Benz 2523 and Ashok Leyland 2516T il . Out of these five, the best-suited Off-highway vehicle has to be purchased for the desired job. The following section deals with the selection procedure .
Step 1: Identification of customer requirements (CRs).
Five customer requirements (CRs) are identified while choosing an Off-highway vehicle are listed below .
loaded body volume (LBV)
fuel economy(mileage)
Price
Maximum speed
robustness
Step2: Identification of technical requirements (TRs).
Five technical requirement factors (TRs) those have been identified are listed below .
Gross Vehicle Weight (GVW)
Maximum Power delivered )
Fuel tank capacity
total number of gears
gradeability
Step3: Construction of central relationship matrix using expertise knowledge of QFD team.
Table 1 : Correlation Matrix
Technical Requirements for robot selection(TRs)
Customer’s
Requirment(CRs)
1.
GVW
2.
Maximum
Power
3.Fuel tank capacity
4.
Gear Box no
5.Grade ability
1.LBV
9
8
6
4
9
2.Mileage
8
9
3
8
2
3.Price
5
7
2
4
1
4.Max speed
7
9
4
9
8
5.Robustness
7
8
3
5
9
Step 4: Calculation of degree of importance for customer requirements by using AHP
A decision matrix is constructed to measure the relative degree of importance for each customer requirement, based on [3].This is a matrix of 5×5 elements. The corresponding normalized values and hence the priority vector for each CR is calculated in table 2.
Table 2 :
LB.V
Mileage
Price
Maximum Speed
Robustness
PV
LBV
0.049
0.096
0.012
0.218
0.023
.080
Mileage
0.298
0.579
0.429
0.187
0.746
.447
Price
0.248
0.082
0.061
0.281
0.023
.140
Maximum speed
0.007
0.096
0.007
0.031
0.020
.032
Robustness
0.397
0.144
0.490
0.281
0.186
.299
Step5: Computation of the degree
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