Multi Criteria Decision Modeling Preference Ranking The Analytical Hierarchy Process.

Slides:



Advertisements
Similar presentations
Modellistica e Gestione dei Sistemi Ambientali A tool for multicriteria analysis: The Analytic Hierarchy Process Chiara Mocenni University of.
Advertisements

1 Alberto Montanari University of Bologna Basic Principles of Water Resources Management.
DECISION MODELING WITH Multi-Objective Decision Making
Lisa White Ph.D. Candidate School of Environment and Sustainability University of Saskatchewan May 30 th, 2012.
Multi‑Criteria Decision Making
Analytical Hierarchy Process (AHP) - by Saaty
1 1 Slide Chapter 10 Multicriteria Decision Making n A Scoring Model for Job Selection n Spreadsheet Solution of the Job Selection Scoring Model n The.
Part 3 Probabilistic Decision Models
Analytic Hierarchy Process Multiple-criteria decision-making Real world decision problems –multiple, diverse criteria –qualitative as well as quantitative.
MIS 463 Analytic Hierarchy Process. 2 The Analytic Hierarchy Process (AHP) It is popular and widely used method for multi-criteria decision making. Allows.
Lecture 08 Analytic Hierarchy Process (Module 1)
Introduction to Management Science
Copyright © 2006 Pearson Education Canada Inc Course Arrangement !!! Nov. 22,Tuesday Last Class Nov. 23,WednesdayQuiz 5 Nov. 25, FridayTutorial 5.
Operations Management For Competitive Advantage © The McGraw-Hill Companies, Inc., 2001 C HASE A QUILANO J ACOBS ninth edition 1 The AHP Method  Multi.
1 1 Slide © 2005 Thomson/South-Western EMGT 501 HW Solutions Problem Problem
THE ANALYTIC HIERARCHY PROCESS. Analytic Hierarchy Process ► Analytic Hierarchy Process (AHP) is a multicriteria decision-making system. ► AHP was developed.
1 The Analytic Hierarchy Process. 2 Overview of the AHP 1.Set up decision hierarchy 2.Make pairwise comparisons of attributes and alternatives 3.Transform.
Executive Manager Decision Making and Policy Planning, typically with many goals Sometimes even > 1 decision maker (Game Theory, Group Decisions) Linear.
Introduction to Management Science
Voice of the People Preference Ranking Survey Results.
Multi-Criteria Analysis – compromise programming.
1 1 Slide © 2005 Thomson/South-Western EMGT 501 HW Solutions Chapter 14 - SELF TEST 20.
Computerized Multiple Criteria Decision Making Model for Projects Planning and Implementation By Ali Reda Al-Jaroudi Presented by: Jihad Farhat.
9-1 Copyright © 2010 Pearson Education, Inc. Publishing as Prentice Hall Multicriteria Decision Making Chapter 9.
Multicriteria Decision Making
9-1 Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Multicriteria Decision Making Chapter 9.
«Enhance of ship safety based on maintenance strategies by applying of Analytic Hierarchy Process» DAGKINIS IOANNIS, Dr. NIKITAKOS NIKITAS University of.
Presented by Johanna Lind and Anna Schurba Facility Location Planning using the Analytic Hierarchy Process Specialisation Seminar „Facility Location Planning“
Analytical Hierarchy Process ( AHP )
ELearning / MCDA Systems Analysis Laboratory Helsinki University of Technology Introduction to Value Tree Analysis eLearning resources / MCDA team Director.
Helsinki University of Technology Systems Analysis Laboratory Ahti Salo and Antti Punkka Systems Analysis Laboratory Helsinki University of Technology.
Jason Chen, Ph.D. Professor of MIS School of Business
Quantitative Analysis for Management Multifactor Evaluation Process and Analytic Hierarchy Process Dr. Mohammad T. Isaai Graduate School of Management.
1 1 Slide © 2004 Thomson/South-Western Chapter 17 Multicriteria Decisions n Goal Programming n Goal Programming: Formulation and Graphical Solution and.
Spreadsheet Modeling and Decision Analysis, 3e, by Cliff Ragsdale. © 2001 South-Western/Thomson Learning Multicriteria Decision Making u Decision.
ALI SALMAN0 LECTURE - 02 ASST PROF. ENGR ALI SALMAN ceme.nust.edu.pk DEPARTMENT OF ENGINEERING MANAGEMENT COLLEGE OF E & ME, NUST DEPARTMENT.
1 Chapter 16 The Analytic Hierarchy Process. 2 The analytic hierarchy process (AHP), which was developed by Thomas Saaty when he was acting as an adviser.
Recap: How the Process Works (1) Determine the weights. The weights can be absolute or relative. Weights encompass two parts -- the quantitative weight.
Chapter 9 - Multicriteria Decision Making 1 Chapter 9 Multicriteria Decision Making Introduction to Management Science 8th Edition by Bernard W. Taylor.
Multi Criteria Decision Making
MAINTENANCE STRATEGY SELECTION BASED ON HYBRID AHP-GP MODEL SUZANA SAVIĆ GORAN JANAĆKOVIĆ MIOMIR STANKOVIĆ University of Niš, Faculty of Occupational Safety.
A dvanced M edical D evices, I nc. Advanced Decision Modeling, LLC OPTIMIZED STRATEGIC AND OPERATIONAL DECISION MAKING © 2012 Advanced Decision Modeling.
Agenda for This Week Wednesday, April 27 AHP Friday, April 29 AHP Monday, May 2 Exam 2.
THE ANALYTIC HIERARCHY PROCESS CAR PURCHASE EXAMPLE.
Analytic Hierarchy Process. 2 The Analytic Hierarchy Process (AHP) Founded by Saaty in It is a popular and widely used method for multi-criteria.
Multi-Criteria Analysis - preference weighting. Defining weights for criteria Purpose: to express the importance of each criterion relative to other criteria.
To accompany Quantitative Analysis for Management, 9e \by Render/Stair/Hanna M1-1 © 2006 by Prentice Hall, Inc. Upper Saddle River, NJ Analytic Hierarchy.
BUSINESS PERFORMANCE MANAGEMENT
Analytic Hierarchy Process (AHP)
S ystems Analysis Laboratory Helsinki University of Technology 1 Decision Analysis Raimo P. Hämäläinen Systems Analysis Laboratory Helsinki University.
Applied Mathematics 1 Applications of the Multi-Weighted Scoring Model and the Analytical Hierarchy Process for the Appraisal and Evaluation of Suppliers.
Constructing the PAHP-based Decision Support System by Considering the Ambiguity in Decision Making Norihiro Saikawa Department of Computer and Information.
ON ELICITATION TECHNIQUES OF NEAR-CONSISTENT PAIRWISE COMPARISON MATRICES József Temesi Department of Operations Research Corvinus University of Budapest,
ESTIMATING WEIGHT Course: Special Topics in Remote Sensing & GIS Mirza Muhammad Waqar Contact: EXT:2257 RG712.
This Briefing is: UNCLASSIFIED Aha! Analytics 2278 Baldwin Drive Phone: (937) , FAX: (866) An Overview of the Analytic Hierarchy Process.
Analysis Manager Training Module
Supplement S7 Supplier Selection.
Analytic Hierarchy Process (AHP)
The AHP Method Multi Criteria Decision Making Most popular method
A Scoring Model for Job Selection
Decision Matrices Business Economics.
Analytic Hierarchy Process Prepared by Lee Revere and John Large
Analytic Hierarchy Process (AHP)
Quantitative Techniques for Decision Making-4 (AHP)
Slides by John Loucks St. Edward’s University.
Policy Making In the Public Interest
Agenda for This Week Monday, April 25 AHP Wednesday, April 27
Multicriteria Decision Making
IME634: Management Decision Analysis
Introduction to Value Tree Analysis
Presentation transcript:

Multi Criteria Decision Modeling Preference Ranking The Analytical Hierarchy Process

This leads to INCONSISTENT DECISIONS! It is difficult to conceptualize all elements of a problem. You may leave important elements out - or unimportant ones in! It is difficult to keep track of your priorities. Why is AHP needed? This leads to INCONSISTENT DECISIONS!

1. Active community involvement and participation in decision making processes 2. Incorporation of economic and social; objective and subjective considerations into decision making (i.e. integrated decision making). A Tool for Decision Support 3. Provides a theoretical basis for consistent decision making Major Advantages

AHP Preference Ranking 1. to elicit preferences for certain objectives relative to other objectives 2. to give the best, or several best, solutions from a range of potential solutions This tool is used:

- a goal or the focus of a problem - a finite number of alternative plans or options; - a set of criteria by which alternatives are to be judged; and - a method of ranking the alternatives based on how well they satisfy the objective Structure the Problem General Form

Where the name comes from General Structure of a Problem

Pairwise Comparisons Decision makers are asked... … The nature of the question depends on the desired outcome and level being compared When comparing criterion 1 to criterion 2,... ‘Which is more important?’ ‘Which has a greater impact?’ ‘Which is more likely to happen?’ or ‘Which is more preferred?’

Scale of Relative Importance Use this scale to articulate preferences Numerical Value ,4,6,8 Reciprocals Definition Equally important or preferred Slightly more important or preferred Strongly more important or preferred Very strongly more important or preferred Extremely more important or preferred Intermediate values to reflect compromise Used when the second criterion is dominant

An Industrial Targeting Example Structure of the problem Number of Jobs: quantity of the jobs Average Wage or Salary: quality of the jobs Level of Capital Investment: measure of permanency Impacts of Population Growth: social impact (traffic, public services) Level of Utility Requirements: pubic impact (infrastructure) Cleanliness of Industry: environmental impact Value added Multipliers: local economic impact Through pairwise comparisons the relative importance of the different impacts can be expressed. This includes those impacts that are subjective in nature.

.When comparing the number of jobs offered by a firm to the average wage level offered by a firm how important of a consideration is one impact over the other with respect to the attractiveness of a firm?.When comparing the number of jobs offered by a firm to the level of capital investment offered by a firm, how important of a consideration is one impact over the other with respect to the attractiveness of a firm? When comparing the number of jobs offered by a firm to the impacts of population growth, how important of a consideration is one impact over the other with respect to the attractiveness of a firm? … Etcetera, until each criterion has been compared to all other criteria An Industrial Targeting Example Decision Makers are Asked:

Industrial Targeting Example Pairwise Comparison Practice Run # JobsAvg. Pay Prop. Value Cleanliness # Jobs Avg. Pay Prop. Value Cleanliness Judgement Matrix # # # # # # 1/#

Pairwise Comparison Results from Bath County, Virginia

Expert Choice Software Pairwise Comparison Results Calculates the relative weights of the criteria Cleanliness of Industry Avg. Wage/Salary Impacts on Property Values Number of Jobs Impacts on Population Growth Level of Capital Investment Level of Utility Requirements Inconsistency Ratio: % 17.5% 11.5% 5.6% 4.8% 4.5% 4.0%

Consistency Pairwise Comparison Results Range: 0.0 perfect consistency, inconsistent 0% of the time 1.0 no consistency, inconsistent 100% of the time How do I interpret an IR? Inconsistency Ratio (IR) - a ratio or percentage of time decision makers are inconsistent in making judgements on a set of particular elements. How do I interpret an IR? Range: 0.0 perfect consistency, inconsistent 0% of the time 1.0 no consistency, inconsistent 100% of the time

Re-Examine the Pairwise Comparisons Expert Choice Software Calculates the relative weights of the criteria Cleanliness of Industry Avg. Wage/Salary Impacts on Property Values Number of Jobs Level of Capital Investment Level of Utility Requirements Impacts of Population Growth Inconsistency Ratio: % 15.9% 13.2% 6.3% 5.1% 4.7% 3.9%

(1) Priority weights can be used as information themselves for preference information - what is most preferred by the group (2) Priority weights can be applied to a set of data related to the criteria, to give the best alternative from a range of specific alternatives. What are these priorities good for?

Identify Goal Identify Alternatives Develop Criteria Weight Criteria Rank Alternatives Proposed Process Each LF Group through PIF The PIF Preference Ranking Team Each LF Through Pairwise Comparisons So, how do you implement this? Priority Weights Applied to Data