Survey on Bikes

IDENTIFICATION OF BEST BIKE FOR YOUTH THROUGH MULTI CRITERIA DECISION MAKING PROCESS: A CASE OF JAIPUR CITY

JAIPURIA INSTITUTE OF MANAGEMENTTERM II

PGDM 2015-17

Submitted To:-

Dr. Lokesh Vijayvargy

ACKNOWLEDGMENT

Any accomplishment requires the effort of many people and this work is no different,

it has been our proud privilege to be attached to this assignment.

We would like to express our gratitude with deep sense of reverence to Dr. Lokesh

Vijaywargy. It would have been difficult to go through this assignment without their

help. He not only helped us in collecting data but also supported us with their valuable

knowledge and experience in the successful completion of this project. 1

Survey on BikesWe would like to thank our senior for their all time guidance before and also during

the project.

CONTENT

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Serial Number Particulars Remarks

1. Abstract. 42. Questioner 5,63. Introduction. 74. Literature Review. 85. Level of location decisions and

its determining factors. 96. Methodology. 107. Calculation of pair wise comparison matrix. 118. Consistency ratio. 129. Summary sheet. 1310. Graphical representation of scores based on

criteria. 1411. Graphical representation of summary. 1512. Bibliography. 1613. Conclusion. 16,17

Survey on Bikes

ABSTRACTIdentification of Best Bike for Youth through Multi Criteria Decision Making

Process: A Case of Jaipur City

Shobhana Tiwari*, Sonika Rawat* and Lokesh Vijayvargy# *First Year Student, Jaipuria Institute of Management, Jaipur, India-302033

#Assistant Professor, Jaipuria Institute of Management, Jaipur, India-302033Email: shobhana.tiwari2015@jaipuria.ac.in ; sonika.rawat2015@jaipuria.ac.in

Purpose: - This purpose of this study is to identify the best sports bike for youth in Jaipur.

Design/Methodology/Approach: - The analytical hierarchy process approach (AHP) is used to identify the best entertainment place for youth in Jaipur. The data was collected using an online and offline survey. MS Excel is used for analysis.

Findings: - This study identifies the following key criteria on the basis of which the young crowd identifies or rates a bike:-

Price Mileage Top speed Style Resale value Maintenance

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Serial Number Particulars Remarks

1. Abstract. 42. Questioner 5,63. Introduction. 74. Literature Review. 85. Level of location decisions and

its determining factors. 96. Methodology. 107. Calculation of pair wise comparison matrix. 118. Consistency ratio. 129. Summary sheet. 1310. Graphical representation of scores based on

criteria. 1411. Graphical representation of summary. 1512. Bibliography. 1613. Conclusion. 16,17

Survey on BikesWe covered areas like India Gate, Kumbha marg, Pratapnagar and Gaurav Tower.

Research limitations/implications: - The findings of the study are based on a preliminary survey (Sample Size = 350) in the college followed by an extensive offline and online questionnaire. The generalization of the proposed framework is limited to the age group of 17 to 25 years.

The bikes that we choose for survey are: Pulsar(150) R-15 (150) FZ(150) Apache(150) Hunk(150)

Originality/value: - The study could be of value to those small, medium or large scale organizations that are inclined in catering to the youth of Jaipur. The survey is also helpful for those companies that are planning to launch any new bike model that are aimed at the youngsters of the city. From the collected data, we will calculate the average and will find out the most preferred bike among youths.

Key words: - Sports bike, AHP, Jaipur City

EXERCISE FOR AHPObjective:-Find out Best bike for youth at Jaipur city.

1) Name;2) Age;3) Mobile No.;4) School/College;5) Email;6) Educational Qualification;7) Criteria for Selection of Bikes. Give Score(From 1 to 7);

CriteriaVery

Strongly agree(1)

Strongly Agree(2)

Agree(3)

Can’t Say(4)

Disagree(5)

Strongly Disagree(6)

Very Strongly

Disagree(7)Price

MileageStyle

Top SpeedMaintenance

Re-Sale Value

8. Give score between 1-7 to alternate based on Price.

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Survey on BikesCriteria Excellent

(1)Very

Good(2)Good

(3)Can’t Say(4)

Average(5)

BelowAverage(6)

Poor(7)

Pulsar (150)R-15(150)F-Z (150)

Apache(150)Hunk (150)

9. Give Score Between 1-7 to Alternate Based on Mileage.

Criteria Excellent(1)

Very Good(2)

Good(3)

Can’t Say(4)

Average(5)

BelowAverage(6)

Poor(7)

Pulsar (150)R-15(150)F-Z (150)

Apache(150)Hunk (150)

10. Give Score Between 1-7 to Alternate Based on Style.

Criteria Excellent(1)

Very Good(2)

Good(3)

Can’t Say(4)

Average(5)

BelowAverage(6)

Poor(7)

Pulsar (150)

R-15(150)F-Z (150)

Apache(150)Hunk (150)

11. Give Score Between 1-7 to Alternate Based on Top Speed.

Criteria Excellent(1)

Very Good(2)

Good(3)

Can’t Say(4)

Average(5)

BelowAverage(6)

Poor(7)

Pulsar (150)R-15(150)F-Z (150)

Apache(150)Hunk (150)

12. Give Score Between 1-7 to Alternate Based on Maintenance.

Criteria Excellent(1)

Very Good(2)

Good(3)

Can’t Say(4)

Average(5)

BelowAverage(6)

Poor(7)

Pulsar (150)R-15(150)F-Z (150)

Apache(150)Hunk (150)

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Survey on Bikes

13.Give Score Between 1-7 to Alternate Based on Re-Sale Value.

Criteria Excellent(1)

Very Good(2)

Good(3)

Can’t Say(4)

Average(5)

BelowAverage(6)

Poor(7)

Pulsar (150)R-15(150)F-Z (150)

Apache(150)Hunk (150)

14. Any suggestions.

INTRODUCTIONThis selection of bikes begins with making questioner and end with recommendation. Between this processes we followed various techniques for selection of best bikes in Jaipur city for youth. We have used the analytical hierarchy process (AHP) as a general problem solving method that is useful in making complex decisions (e.g. multi criterion decision) based on variables that do not have numerical consequences.

This survey for selection of best bike within the city has been done keeping following points in mind:-

1. Price of the bike2. Mileage given by the bike3. Looks and style of the bike i.e. model4. Speed given by the bike5. Time and cost involved in maintenance6. Re sale value

We interacted mainly with youth between 17-25 age groups and tried to collect their view on selection of bikes. We made the assumptions for criteria and alternatives from 1-7 score.

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Survey on BikesWe visited different places like India Gate, Khumba marg, Pratapnagar and Gaurav Tower to fill the form. We selected these places because most of the youth in Jaipur come over there.

After filling the forms from online and offline mode we calculated and evaluated the excel sheet for the selection of best bike.

LITERATURE REVIEWSr. No AUTHOR YEAR FINDING

1. MARK HINCHLIFFE 8 SEP, 2015

Survey reveals best-rated motorcycles-MOTOR BIKE NEWS.

2. Collin Woodard April 26,2015 The Most Reliable Motorcycle Brands You Can Buy.

3. Shane B.Mchaughin April 07,2015 Who makes the most reliable motorcycle?

4. Vicki H.Williams Shane B.Mchaughin March 1,2013

NSTSCE-National surface transportation safety center for excellence.

A survey done by Mark Hinchliefe on 8 sept;2015 named “Survey reveals best-rated motorcycles” mainly said that motorcycle brand loyalty is not as important as value, quality, reliability, features and price, according to our recent global survey of readers. Price was most important to buyers of Japanese motorcycles,

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Survey on Bikeswith about one in three Honda, Suzuki and Yamaha owners naming this as their main purchasing decision. Only one in five Kawasaki buyers considered price a major factor.Another survey done by Collin Woodard on 26.april.2015 named “The Most Reliable Motorcycle Brands You Can Buy” mainly said that Yamaha is the top-scoring brand for reliability, followed by Suzuki, Honda, and Kawasaki. Buying American isn’t a bad decision, though, with Victory edging out Harley-Davidson. The least reliable brands were Triumph, Ducati, BMW, and Can-Am.

3rd survey done on April 07 2015 was “Who makes the most reliable motorcycle?” We rate 10 big brands i.e. Yamaha, Suzuki, Honda, Kawasaki, victory, Harley Davidson, triumph, Ducati, BMW and Can am.

LEVELS OF LOCATION DECISIONS AND ITS DETERMINING FACTORS

The youth has to take decisions based on five bikes:- 1. Pulsar2. Hunk3. Apache4. R155. FZ

The following factors play a significant role the selection of best bike:-1. Price2. Mileage3. Top speed4. Re-sale value5. Maintenance6. Style

We asked customers to give their suggestions also.

Our scaling assumptions were for criteria are:-1. Very strongly disagree2. Strongly disagree3. Disagree 4. Can’t say5. Agree

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Survey on Bikes6. Strongly agree7. Very strongly agree

Our scaling assumptions for alternatives are:-1. Poor2. Below average3. Average4. Can’t say5. Good6. Very good7. Excellent

METHODOLOGYThe data used in this research paper is primary in nature and collected by ONLINE (50 forms) OFFLINE (300 forms).

DATA ANALYSIS:-For the purpose of analysis of data the AHP analysis has been used.

AHP ANALYSIS:-WHY AHP?

Deals with quantifiable and intangible criteria. Systematic procedure for representing elements of a hierarchy. No guess involved and judgments can be made in a verbal mode. Supports executive decisions, applies knowledge, derives priorities and ranks

alternatives.

Decision modelling typically consists of five steps: (1) Structuring the decision model, (2) Entering alternatives, (3) Establishing priorities among elements of the hierarchy, (4) Synthesizing, and (5) Conducting sensitivity analysis.

In our project, we have taken several bikes, to look at how the customers select best bikes in jaipur city.The goal is to set a better of the following location in Jaipur-

India Gate, Khumba marg, Pratapnagar and Gaurav Tower

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Survey on BikesThese were the areas highly preferred by youth. The main criteria in this decision are:

Price Mileage Top speed Style Resale value Maintenance

The store locations we are considering are a suburban area.

CALCULATION OF PAIR WISE COMPARISON MATRIX

 

Criteria Price Mileage StyleTop speed Maintenance

Re-sale value Priority

Price 0.176 0.176 0.175 0.176 0.176 0.176 0.176

Mileage 0.172 0.170 0.173 0.170 0.170 0.170 0.171

Style 0.172 0.172 0.171 0.172 0.172 0.172 0.172

Top speed 0.163 0.163 0.163 0.163 0.163 0.163 0.163

Maintenance 0.163 0.163 0.163 0.163 0.163 0.163 0.163

Re-sale value 0.154 0.154 0.153 0.154 0.155 0.154 0.154

In calculation of this pair wise comparison matrix first we calculated the priority of all the criteria’s.The priority of price is highest i.e. 0.176 and the priority of re-sale value is least i.e. 0.154.This shows that customers look at price of the bike first and re-sale value of the at last.Priority of top speed and maintenance of bike is same i.e. 0.163.Priority of mileage is 0.171.Priority of style is 0.172.

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Survey on Bikes

CONSISTENCY RATIOStep - 1 Criteria Sum Priority λPrice 1.054 0.176 5.994Mileage 1.025 0.171 5.994Style 1.030 0.172 5.994Top speed 0.977 0.163 5.994Maintenance 0.986 0.163 6.051Re-sale value 0.923 0.154 5.994

Step - 2 n 6λ1 5.994λ2 5.994λ3 5.994 n RIλ4 5.994 3 0.58λ5 6.051 4 0.9λ6 5.994 5 1.12λmax (Average) 6.004 6 1.24

7 1.328 1.41

Step - 3 CI = (λmax-n)/n-1 0.00072

Step - 4 CR = CI/RI 0.00058

Priority is correct

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Survey on Bikes

SUMMARY SHEET

Priority 0.176 0.171 0.172 0.163 0.163 0.154 

 

  Price Mileage StyleTop speed

Maintenance

Re-sale value

Final score

Pulsar 0.208 0.181 0.206 0.000 0.209 0.187 0.166

R15 0.188 0.215 0.203 0.000 0.205 0.184 0.166

FZ 0.207 0.189 0.202 0.000 0.193 0.204 0.166

Apache 0.201 0.213 0.193 0.193 0.196 0.214 0.201

Hunk 0.196 0.202 0.196 0.213 0.198 0.212 0.202

 

 

 

Pulsar 0.166  

R15 0.166  

FZ 0.166  

Apache 0.201  

Hunk 0.202  

 

 

Overall score of Hunk is highest. So customer prefers Hunk.        

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Survey on Bikes After calculating the consistency ratio we made summary sheet and then we came to know that hunk is the best bike for youth in Jaipur city.

Score of Hunk is highest i.e. 0.202 and Apache is near to that i.e. 0.201.

Pulsar, R15 and FZ are not that preferred bikes according to our survey because their score is almost same i.e. 0.166 score.

GRAPHICAL REPRESNTATION OF SCORESBASED ON CRITERIA

Price

Mileag

eSty

le

Top sp

eed

Maintenan

ce

Re-sale va

lue

Final

score

PulsarR15FZApacheHunk

According to this graph we can see that, In PRICE, Pulsar is most preferred bike and R15 is least preferred bike. In MIEAGE, Pulsar is least preferred bike and R15 is most preferred bike. In STYLE, Apache is least preferred bike and Pulsar is most preferred bike. In TOP SPEED, Hunk is most preferred and Pulsar, R-15 and FZ scores zero

(according to our survey). In MAINTENANCE, Pulsar is most preferred and FZ is least preferred. In RE-SALE VALUE, Apache is most preferred and R15.

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Survey on BikesSo, finally we can see that in final score Hunk is the best bike for your in all aspects.

GRAPHICAL REPRESNTATION OF SUMMARY

Pulsar R15 FZ Apache Hunk

0.166 0.166 0.1660.201 0.202

Chart Title

Series1

According to this graph we can see that, after calculating the consistency ratio we made summary sheet and then we came to know that hunk is the best bike for youth in Jaipur city.

Score of Hunk is highest i.e. 0.202 and Apache is near to that i.e. 0.201.

Pulsar, R15 and FZ are not that preferred bikes according to our survey because their score is almost same i.e. 0.166 score.

So, finally we can see that in final score Hunk is the best bike for your in all aspects.

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Survey on Bikes

BIBLIOGRAPHY https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Motorcycling http://www.motorcyclesurvey.com/ http://www.righttoride.co.uk/virtuallibrary/technical/071023-R-Ridersurveyreport-1.pdf http://motorbikewriter.com/did-you-win-in-our-motorbike-survey/ http://greater-london.mag-uk.org/motorcycle_survey.php

OUR TAKE AWAY FROM THIS SURVEY

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It was a great learning how to use AHP- Bhawani Shankar

We came to know about consumer behaviour towards different bikes on different criteria's- Shobhana Tiwari

I came to know how to do market survey- Akshay Sharma

Survey on Bikes

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I came to know how to use advance excel.-Sonika Rawat

Great experience of interacting with customers- Kumari Neha

I came to know more about bikes and my passion for bikes increased- Arnav Saraswat

Survey on Bikes

CONCLUSION

ADVANTAGES:-

o The Analytical Hierarchy Process uses scientific proof for evaluation of different criteria.

o It differs from conventional decision analysis methodologies by not requiring users to make numerical guesses.

DISADVANTAGES:-

o Cannot be used where decision problems are not be structured hierarchically.

CONCLUSION:-

o AHP is by far the most commonly used multi criteria decision making model since its formulation by Saaty and Kearns in 1985.

o Hence, using AHP we conclude that, considering various criteria like price, speed, style, mileage, maintenance and re sale value Hunk is the best bike for youth in Jaipur.

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My knowledge increased more about market surveys- Ruchi Khandelwal