ARE-520 Advance construction and Maintenance Modeling By

Slides:



Advertisements
Similar presentations
DECISION MODELING WITH Multi-Objective Decision Making
Advertisements

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.
Presentation for Thesis of Master Degree Done by Ali Abdullah Al Salman CEM – 520 Term Project (Paper Presentation) Assessments of Risk Management Perception&
1. Introduction 2 In this study, fuzzy logic (FL), multiple criteria decision making (MCDM) and maintenance management (MM) are integrated into one subject.
Karolina Muszyńska Based on
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.
Multi Criteria Decision Modeling Preference Ranking The Analytical Hierarchy Process.
Determination of Construction Contract Duration for Public Projects in Saudi Arabia By: Ahmed Saleh Al-Sultan, June 1989 Presented by Sameh Elish January.
KING FAHD UNIVERSITY OF PETROLEUM & MINERALS DHAHRAN SAUDI ARABIA DEPARTMENT OF ARCHITECTURAL ENGINEERING ARE 520: Advanced Construction and Maintenance.
Introduction to Management Science
Pertemuan Matakuliah: A0214/Audit Sistem Informasi Tahun: 2007.
Warehouse operator selection by combining AHP and DEA methodologies
On Cost-benefit Evaluation Methods of Government- invested IT Projects CNAO's Wuhan Resident Office Haiyan zhang.
1 Multi-Criteria Decision Making MCDM Approaches.
On Fairness, Optimizing Replica Selection in Data Grids Husni Hamad E. AL-Mistarihi and Chan Huah Yong IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,
Lecture(3) Instructor : Dr. Abed Al-Majed Nassar
ES305: Virtual Tools in Engineering Design: The Eng. Design Process James Carroll, Associate Professor Electrical and Computer Engineering.
Strategic Project Alignment With Team Expert Choice
Introduction to Computer Technology
Factors affecting contractors’ risk attitudes in construction projects: Case study from China 박병권.
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.
SYSTEM ANALYSIS AND DESIGN
«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“
Using Network Simulation Heung - Suk Hwang, Gyu-Sung Cho
BTS730 Communications Management Chapter 10, Information Technology Management, 5ed.
The Systems Analysis Toolkit
Jason Chen, Ph.D. Professor of MIS School of Business
1 1 Slide © 2004 Thomson/South-Western Chapter 17 Multicriteria Decisions n Goal Programming n Goal Programming: Formulation and Graphical Solution and.
Feasibility Study.
Joint Venture in construction company in West Bank.
Spreadsheet Modeling and Decision Analysis, 3e, by Cliff Ragsdale. © 2001 South-Western/Thomson Learning Multicriteria Decision Making u Decision.
Systems Analysis and Design Fourth Edition Introduction  A project is economically feasible if the future benefits outweigh the costs  The Systems Analyst’s.
Module 4: Systems Development Chapter 12: (IS) Project Management.
Chapter 9 - Multicriteria Decision Making 1 Chapter 9 Multicriteria Decision Making Introduction to Management Science 8th Edition by Bernard W. Taylor.
Introduction A GENERAL MODEL OF SYSTEM OPTIMIZATION.
© Mahindra Satyam 2009 Decision Analysis and Resolution QMS Training.
MAINTENANCE STRATEGY SELECTION BASED ON HYBRID AHP-GP MODEL SUZANA SAVIĆ GORAN JANAĆKOVIĆ MIOMIR STANKOVIĆ University of Niš, Faculty of Occupational Safety.
The nature and importance of economic feasibility studies for investment projects 1.
13 Step Approach to Network Design Steps A Systems Approach 8Conduct a feasibility Study 8Prepare a plan 8Understand the current system 8Design.
Tanja Magoč, François Modave, Xiaojing Wang, and Martine Ceberio Computer Science Department The University of Texas at El Paso.
An overview of multi-criteria analysis techniques The main role of the techniques is to deal with the difficulties that human decision-makers have been.
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
NTUST IM AHP Case Study 2 Identifying key factors affecting consumers' choice of wealth management services: An AHP approach.
Model Calibration and Weighting Avoid areas of… High Housing Density Far from Roads In or Near Sensitive Areas High Visual Exposure …what is “high” housing.
ANALYSIS PHASE OF BUSINESS SYSTEM DEVELOPMENT METHODOLOGY.
Constructing the PAHP-based Decision Support System by Considering the Ambiguity in Decision Making Norihiro Saikawa Department of Computer and Information.
The Feasibility Study The objective of a feasibility study is to find out if an project can be done and if so, how The objective of a feasibility study.
Copyright 2012 John Wiley & Sons, Inc. Part II Project Planning.
ESTIMATING WEIGHT Course: Special Topics in Remote Sensing & GIS Mirza Muhammad Waqar Contact: EXT:2257 RG712.
Reality of Highway Construction Equipment in Palestine
Analytic Hierarchy Process (AHP)
Systems Analysis and Design
A Scoring Model for Job Selection
ANALYTIC HIERARCHY PROCESS (AHP)
FEASIBILITY STUDY Feasibility study is a means to check whether the proposed system is correct or not. The results of this study arte used to make decision.
Decision Matrices Business Economics.
By: Hugh R. Alley August 22nd, 2007 Presenter: Maged Younan
FIVE PROJECT PHASES 5C-3 Sun. 8:00-10:00am 21/ 2/2016.
Part II Project Planning © 2012 John Wiley & Sons Inc.
Analytic Hierarchy Process Prepared by Lee Revere and John Large
Agenda for This Week Monday, April 25 AHP Wednesday, April 27
Multicriteria Decision Making
Presentation transcript:

COMPUTERIZED MULTIPLE CRITERIA DECISION MAKING MODEL FOR PROJECTS PLANNING AND IMPLEMENTATION ARE-520 Advance construction and Maintenance Modeling By MOHAMMED FASIUDDIN ID # 220324 Semester-021 11th January, 2003 Presented to Dr. S. ASSAF

Content Introduction Problem Statement Objectives, Scope & Limitation Methodology Previous Studies Analytical Hierarchy Process (AHP) Decision Criteria For The Selection Of Project Alternatives Computerized Decision Making Model Project Alternatives Evaluation Problem- Case Study Conclusion And Recommendation ARE-520 Advance construction and Maintenance Modeling

Introduction Projects are implemented to achieve certain goals, which includes Increasing company’s profit Enhancing its competitiveness to survive in future For the projects to be successful the company must come up with best alternatives during preliminary engineering study when making decision, but the decision making team is faced with a problem as more than one objective needs to be satisfied To satisfy these objectives simultaneously order of preference is a major factor ARE-520 Advance construction and Maintenance Modeling

Introduction Problems that might be encountered during decision making process may include: Complexity of the decision Inconsistency of the decision maker Political favor and hidden agenda Overlooking objective of the project Conflicting between the individuals Variation of perception from one individual to another ARE-520 Advance construction and Maintenance Modeling

Introduction To avoid these problems and improve the decision making process, a structured and comprehensive Computerized Multi-Criteria Decision Making Model based on Analytical Hierarchy Process (AHP) that assist in selecting the best alternative ARE-520 Advance construction and Maintenance Modeling

Problem Statement During preliminary engineering phase of any project, there are an array of possible alternative solutions to any project, deciding on which alternative to select is difficult. Owners often do not consider alternatives to their investment projects, if they do; they may compare only cost Projects involve environment, political and other intangible factors, which are usually ignored in the cost benefit analysis. Conflict may arise between the decision maker because of their different concerns and goals ARE-520 Advance construction and Maintenance Modeling

Objective, Scope & Limitation The objective of this research is to develop a Computerized Decision Support Model based on Multi-criteria Decision Making, to assist in decision making. This model will be applied to a case study to demonstrate its feasibility. Factors considered in the decision model will be the factors that influence the decision making with regard to the system selection and project implementation. ARE-520 Advance construction and Maintenance Modeling

Methodology Determine the evaluation criteria for selecting projects alternatives from literature review and documentation of previous projects. Present the selected method and discuss its mathematics and applications Develop a computerized model based on the selected method Apply the computerized model on real project ARE-520 Advance construction and Maintenance Modeling

Previous Studies Al-Sughaiyer conducted a study, on public construction projects in Saudi Aramco. In the value engineering study, alternatives were compared by using weighted evaluation to help in selecting the best alternative This method comprised of two steps: Paired comparison criteria weighting process: Under this criteria influencing the decision making are listed & assigned a letter depending upon its importance to the decision maker. ARE-520 Advance construction and Maintenance Modeling

Previous Studies When selecting between two criteria, degree of importance of one over another can be: Major (3 points) Minor (1 point) No Preference (0 point) Raw score of all the criteria is then adjusted to a scale of 1-10 with, 10 assigned to the criteria with the highest raw score The evaluation matrix: Once the criteria elements and their weights have been established, they are entered in Evaluation Matrix as in fig2, then each criterion is ranked against each alternative. ARE-520 Advance construction and Maintenance Modeling

Previous Studies A scoring of 1-5 is used as follows: Excellent = 5 Very Good = 4 Good = 3 Fair = 2 Poor = 1 Rank of each alternative is multiplied with weight of criterion and the result is entered in the matrix. The total score is summed up for each alternative and ranked for selection. The alternative with the highest total score is selected This method has a drawback because of its 5-point scale, therefore can handle only a few or limited number of decision criteria ARE-520 Advance construction and Maintenance Modeling

Previous Studies Zedeh in his Fuzzy Set Theory using Fuzzy Multi-criteria concept comparing projects, by assigning values a membership from 0 to 1 in the sets, where 1 indicates membership in the set and 0.5 means that it is equally likely to be in set or out of the set. Grandzol and Gershhon in their study entitled Multiple Criteria Decision Making; developed Criteria for evaluating the alternatives by assigning weights and ranks. The team used Electra Technique which compares a pair of alternative actions and ranks them by weighted scores for criteria for which a given alternative action is better. ARE-520 Advance construction and Maintenance Modeling

Previous Studies Alternatives actions that are better in the weighted criterion and not too much worse in the other criteria rank highest. The study team decided on 0.8 level of concordance and a 0.2 level of discordance for alternative action to qualify. ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) Introduction: It is difficult to assign and estimate the weight of each attribute, as the decision making is based on subjective criteria, which cannot be qualified in the utility function. Goal Programming lacks a systematic approach to set priorities and trade off among objectives. Fuzzy set theory is difficult to implement. To overcome short-comings from Goal Programming & Fuzzy set theory, the AHP was developed. ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) The Decision Model Outline Understand clearly the scope of the project Define the main objective of the project Determine the project alternatives Literature review Market surveys Determine all the criteria that influence the decision Brainstorming sessions Questionnaires Group the criteria that are related Use the AHP methodology to rank the project alternative ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) The AHP Steps Construction of decision hierarchy by breaking down the decision problem into a hierarchy of inter-related elements. Performing pair-wise comparisons of the decision elements. Estimating the weights if the decision elements by using Eigen-value method. Aggregating the weights of the decision elements to provide a set of ratings for the decision alternatives. ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) The first step, the decision problem is formulated in a hierarchical structure and is broken into a hierarchy of interrelated decision elements. Figure illustrates At the top of the hierarchy lies the most general objective. Number of levels depends on the complexity of the problem and on the degree of detail. Each level of the hierarchy contains attributes or objectives that influence the decision. ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) Each relationship is weighted according to the strength of influence an alternative or criterion at same level exerts on alternative or criterion The most general risky and uncertain the decision element the higher the level. The elements in each level are influenced or controlled by the elements in the level immediately above. ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) Influence is distributed downward from the top on nine-point scale. One (1) for equal importance Three (3) for moderate importance of one over the other. Five (5) for strong importance of one over the other Seven (7) for very strong importance of one elements over the other Nine (9) for extreme importance of one elements over the other. 2, 4, 6, 8 for compromise. Reciprocals for the inverse comparison. ARE-520 Advance construction and Maintenance Modeling

ANALYTICAL HIERARCHY PROCESS (AHP) The second step involves the pair-wise comparison of the decision elements for each group headed by a main criterion (node). The comparison is done in pairs and placed in matrix A In the 3rd step the Eigen-value method is used to estimate the relative weights of the decision elements. In the last step of the AHP the relative weights of various levels are aggregated. The results produce a vector of composite weights, which will serve as a ranking of the decision alternatives. ARE-520 Advance construction and Maintenance Modeling

DECISION CRITERIA FOR THE SELECTION OF PROJECT ALTERNATIVES Project-Related Criteria Time: defined as the time required to place the system in operation. Permit & Approval :This criterion includes waivers for using non-standard equipment or non-standard installations equipment import permits land use permits Performance & Acceptance: This criterion includes acceptance of the system by the owner, the project management team, the end user, and the public. ARE-520 Advance construction and Maintenance Modeling

DECISION CRITERIA FOR THE SELECTION OF PROJECT ALTERNATIVES Cost : This cost will be broken down into: Initial cost Operating and Maintenance cost Replacement cost System upgrading cost Leasing cost Decommissioning cost Equipment Related Factors Operation Characteristics: Equipment operation characteristics include reliability, availability, and protection during failure, heat dissipation, power, and security of the system equipment. ARE-520 Advance construction and Maintenance Modeling

DECISION CRITERIA FOR THE SELECTION OF PROJECT ALTERNATIVES Mechanical Characteristics: This constitutes the dimensions, physical configuration and the weight of the equipment. Compliance : Compliance is the ability of the system to interface with existing and future communications systems. Mandatory features Operational features Life & Technology : This consists of Working life Economical life Technological life ARE-520 Advance construction and Maintenance Modeling

DECISION CRITERIA FOR THE SELECTION OF PROJECT ALTERNATIVES Vendor Related Factors: This criterion includes the vendor’s experience and reputation; the vendor’s ability to support its products through warranties, site maintenance, hot-line support, user training, consulting, and documentation. ARE-520 Advance construction and Maintenance Modeling

COMPUTERIZED DECISION MAKING MODEL Introduction The computerized decision making model was created in visual basic. The program consist of six modules. These are: Start Module Initial Data Module Criteria Pair-Wise Comparison Module Initial Alternatives Data Module Alternative Pair-Wise Comparison Module Synthesis Module ARE-520 Advance construction and Maintenance Modeling

COMPUTERIZED DECISION MAKING MODEL All the input data and output data are automatically saved in a micro access file called Alirezam.mbd. The input data is plotted immediately after performing the pair-wise comparison and obtaining the weights for the criteria. The consistency check is done every time the pair-wise comparison is performed ARE-520 Advance construction and Maintenance Modeling

COMPUTERIZED DECISION MAKING MODEL Program Limitations The program is limited to decision problems that have: Hierarchies of five level or less Criteria groups with ten sub-criteria or less There is no restriction on the no of alternatives, but it is recommended that should not exceed more than ten. The Developed Program Flow Chart of the program : The following is the flow chart of the program. It has 12 steps. Once the program is loaded it initializes the output date files and then proceeds with the calculations after the user has input the data. ARE-520 Advance construction and Maintenance Modeling

COMPUTERIZED DECISION MAKING MODEL Program Step By Step Calculation The different modules of the computerized model are shown ARE-520 Advance construction and Maintenance Modeling

PROJECT ALTERNATIVES EVALUATION PROBLEM- CASE STUDY Scope In this section, a case study is presented to demonstrate the application of the developed Computerized Decision Making Model A major industrial company has decided to replace its current mobile communication system, infrastructure and end user equipments with a new state of Art Mobile Radio System. ARE-520 Advance construction and Maintenance Modeling

PROJECT ALTERNATIVES EVALUATION PROBLEM- CASE STUDY Alternatives: Three mobile radio system alternatives were investigated. These are To replace the current system with an analog system To replace the current system with open architecture To replace the current system with proprietary system architecture ARE-520 Advance construction and Maintenance Modeling

PROJECT ALTERNATIVES EVALUATION PROBLEM- CASE STUDY Methodology Applications and Discussion Criteria Pair wise Comparison: In this step the pair wise comparison was carried out for all the criteria ARE-520 Advance construction and Maintenance Modeling

CONCLUSION AND RECOMMENDATION Conclusion: The developed Computerized Multiple Criteria Decision-Making Model gives the uses a structured and systematic decision making approach for evaluating and selecting projects alternatives. Additional research on the developed Computerized Multiple Criteria Decision-Making Model should be conducted. This can include application of this model on the other aspects of project management ARE-520 Advance construction and Maintenance Modeling

THANK YOU ARE-520 Advance construction and Maintenance Modeling