Bis grp6

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BIS assignment 2 MBA 2014-2016 Section A Group 6 Roll Number Name UM14001 Abhijeet Dash UM14007 Adyasha Dash UM14012 Ankita Mehrore UM14017 Ayushi Gilra UM14024 Esha Epsita UM14031 Kshitij Tinku UM14035 Mudita Manot UM14039 Partha Pratim Sahu UM14045 Rohitaksha Panda

Transcript of Bis grp6

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BIS assignment 2 MBA 2014-2016

Section A Group 6

Roll Number Name

UM14001 Abhijeet Dash

UM14007 Adyasha Dash

UM14012 Ankita Mehrore

UM14017 Ayushi Gilra

UM14024 Esha Epsita

UM14031 Kshitij Tinku

UM14035 Mudita Manot

UM14039 Partha Pratim Sahu

UM14045 Rohitaksha Panda

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OBJECTIVE:

To make a purchase decision of property with help of Expert choice software by comparing different locations on given set of parameters

Properties are to be purchased in 4 different cities: Pune, Hyderabad, Ahmedabad, Gurgaon

PARAMETERS:

The purchase decision is based on consideration of following parameters:

•Cost

•Location

•Environment

•Demand and Supply

•Structure and customization

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THE BASIC MODEL

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COST

The cost parameter accounts for 38.7% of purchase decisions made by the customer. It includes:

• Price of the property: The amount to be paid upfront for the property

• Mortgage rate: The rate of interest available for mortgaging

• Registration charges: The total charges paid for registration as per the government norms

• Loan availability: The ease of availability of home loans

• Resale value: The value earned after resale of the property

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LOCATION

The location parameter accounts for 20.6% of the purchasing decision and it consists of:

Transportation: it includes all form of public transport such as auto, bus, taxi stand etc.

Education: Proximity of schools, computer centers and other learning places from the property.

Medical: Proximity of hospitals, childcare center, nursing homes etc.

Shopping facility: Shopping malls and small Kirana stores for daily usage.

Recreational facility: Restaurants, gymnasiums, parks, movie theatres etc.

Workplace proximity: Distance from the office

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DEMAND and SUPPLY

This parameter accounts for 8.8% of the purchasing decisions made by a customer. It includes:

Population in the area: Population of the city and also the locality

Rate of migration: This maps the frequency of migration of people to and from the city.

Availability of commercial land: How much land area of city is available for commercialization. It relates to the prosperity of the city.

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STRUCTURE and CUSTOMIZATION

This parameter accounts for 9.3% of the customer’s purchasing decision and includes:

Floor area: The total floor area of the property being purchased

Design: Design cost of the house being purchased

Material used: Material being used for construction of the house

Furnishings: Products and articles used for furnishing the property

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ENVIRONMENT

Environment as a parameter accounts for 22.7% of the customer’s purchasing decision and includes:

Security: How safe is the city to live in. Previous records for theft and burglary etc.

Noise: Noise level in the city including traffic noise, use of loud speakers etc. Noise level should be low

Neighborhood: How safe and friendly is the neighborhood.

View: Refers to how clean and green the city is in general.

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SENSITIVITY ANALYSIS

Performance

Gradient

Dynamic

Head to Head

2D Graphs

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graph displays how the alternatives perform with respect to all objectives

"left y-axis" to read each objective's priority

right y-axis" to read the alternative priorities with respect to each parameter

Performance graph is dynamic

lines connecting the alternatives from one parameter to another have no significance.

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Dynamic Sensitive Analysis The graph is used to dynamically change the priorities of the

parameters to determine how these changes affect the priorities of the alternative choices

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Gradient Sensitivity

The graph shows the alternatives' priorities with respect to one parameter at a time

The vertical red line represents the priority of the selected objective

The dotted blue line shows the new parameter's priority

Look for cross-over points of the alternatives

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Head To Head Comparison

It shows how two alternatives compared to one another against the parameters in a decision

One alternative is listed on the left side of the graph and the other is listed on the right

The alternative on the left is fixed.

Down the middle of the graph are listed the parameters in the decision

The overall priority can either be shown based on the parameter weights (typical) or un-weighted

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2D Graphs

The graph displays the alternatives' priorities with respect to two parameters at a time.

By clicking the menu commands "X Axis" and "Y Axis" you have the ability to change the objectives being displayed.

The area of the 2D plot is divided into quadrants.

The most favorable alternatives with respect to the parameters on the two axes will be shown in the upper right quadrant (the closer to the upper right corner, the better the alternative).

The least favorable alternatives will be shown in the lower left quadrant (the closer to the lower left corner, the less favorable the alternative).

Alternatives located in the upper left and lower right quadrants indicate a visual representation of the alternatives for both the selected parameters.

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ComparisonsComparison of the Different

Analysis Reports

Pair-wise Comparison

Results:

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Conclusion:

Based on the relative weight age assigned to the five parameters Ahmedabad comes out to be best location for purchasing the property followed by Hyderabad, Pune and Gurgaon.