AHP Examples

Here you find examples of decision problems, structured as a hierarchy. With a click on the link the corresponding hierarchy will be shown in the AHP online tool

Example 1: Buy MP3 Player

Example from my AHP video on Youtube
Link: Buy MP3 Player

1 hierarchy levels, 6 end nodes, 1 priority vectors

Buy MP3 Player: Color, Memory, Delivery; 
Color: pink, blue, green, black, red;
Memory: 8 MB, 16 MB, 32 MB, 64 MB;
Delivery: immediate, one week, four weeks;

Example 2: Buy a tablet computer

Simple example to demonstrate the method
Link: Buy a tablet computer

1 hierarchy levels, 6 end nodes, 1 priority vectors

Buy tablet computer: display size, battery life, weight, design;

Example 3: Drinks consumed in the US

Link: Drinks consumed in the US
1 hierarchy level(s), 7 end nodes. 1 AHP priority vector

Drinks consumed in US: Coffee=0.17745695, Wine=0.01914863, Tea=0.04183306, Beer=0.11642521, Soda=0.18957337, Milk=0.12878625, Water=0.32677653;

Reference: Decision making with the analytic hierarchy process, Thomas L. Saaty, Int. J. Services Sciences, Vol. 1, No. 1, 2008, p 83-98

Example 4: New Project Development in Automotive Industry

Link: New Project Development in Automotive Industry
1 hierarchy levels, 7 end nodes, 1 priority vectors

New Product Development: Budget, Sales Potential, Market Trend, 
Competitive Advantage, Technical Success, Commercial Success, Risk;

Reference: New product development projects prioritization with Analytic Hierarchy Process in an automotive company, Valério Antonio Pamplona Salomon et al.

Example 5: Supplier Selection

Link: Supplier evaluation for purchase of 3rd party equipment & services
2 hierarchy level, 11 end nodes, 4 priority vector

Supplier Selection: Price, Quality, Reliability, Service;
Quality: Product Variety, Product Quality Features, Production Quality;
Reliability: Management & Organization, References, Capital, Annual Turnover;
Service: Communication, Delivery Lead Time, Customization Capability;

Reference: Supplier Selection Based on AHP Method, Thesis, Helsinki Metropolia University of Applied Science, 2013
Chengjing Jounio

Example 6: Choosing a graduate school

Link: Choosing a graduate school
2 hierarchy levels, 15 end nodes, 6 priority vectors

Choosing graduate school: Location=0.1731, Financial Incentive=0.0383, Ranking=0.0490, Degree Program=0.0286, Vibe=0.4198, Campus=0.0838, Faculty=0.2074;
Location: Distance=0.6444, Weather=0.2704, City/County=0.0852;
Ranking: Prestige=0.75, Numerical Ranking=0.25;
Campus: Grounds=0.0883, Labs=0.7171, Buildings=0.1946;
Faculty: Adviser=0.2, Rest of department=0.8;

Reference: Mathematical Decision Making -An Overview of the Analytic Hierarchy Process, Steven Klutho

Example 7: Satisfaction with House

Link: Satisfaction with house
1 hierarchy levels, 8 end nodes, 1 priority vector

Satisfaction with house: Size of house=0.17301496, Transportation=0.05397584, 
Neighborhood=0.18810657, Age of house=0.01750819, 
Yard space=0.03104399, Modern facilities=0.03632262, General condition=0.16683835, Financing=0.33318948;

Reference: How to make a decision? The analytic hierarchy process. Saaty, European Journal of Operational Research 48 (1990) 9 - 26