This document provides an overview of decision making models, techniques, and factors. It outlines the presentation topics which include background on decision making models, critical discussion of models with examples, quantitative tools and techniques, and considering environmental factors. Quantitative techniques discussed include regression analysis, probability theory, linear programming, integer programming, network analysis, queuing theory, simulation, and learning curves. Environmental factors affecting decision making include personal demographics, culture, social class, intimate groups, secondary groups, information, and psychological factors.
Tools for decision making (Brian Haff) ProductCamp Boston 2014ProductCamp Boston
We've all made rational decisions and forecasts based on individually analyzing the best available data. But there are many other aspects of decision making. This session will examine some of those. When can groups of non-expert individuals beat some of the best experts? What are some of the common biases that cause ordinary people to make decisions differently from those that they "should" make. Can you take advantage of the ways other makes decisions or is this unwarranted manipulation?
Tools for decision making (Brian Haff) ProductCamp Boston 2014ProductCamp Boston
We've all made rational decisions and forecasts based on individually analyzing the best available data. But there are many other aspects of decision making. This session will examine some of those. When can groups of non-expert individuals beat some of the best experts? What are some of the common biases that cause ordinary people to make decisions differently from those that they "should" make. Can you take advantage of the ways other makes decisions or is this unwarranted manipulation?
Summary of article, "The hidden traps in decision making." The book examines 5 major decision traps and offers key examples and solutions . To buy this article: http://amzn.to/1POMJEJ
TMA World Guide to Effective Decision MakingTMA World
Making good decisions, based on disciplined thinking and informed judgement, requires an individual to:
•Gather all available, relevant facts and generate a list of options
•Effectively consult with others and use a range of techniques to evaluate available options
•Consider the consequences of the decision on others and the organization
Effective decision making has many benefits, including improved communication and consultation among individuals and a reduction in the negative impact of decisions across your organization.
Contact us today to find out more:enquiries@tmaworld.com
Summary of article, "The hidden traps in decision making." The book examines 5 major decision traps and offers key examples and solutions . To buy this article: http://amzn.to/1POMJEJ
TMA World Guide to Effective Decision MakingTMA World
Making good decisions, based on disciplined thinking and informed judgement, requires an individual to:
•Gather all available, relevant facts and generate a list of options
•Effectively consult with others and use a range of techniques to evaluate available options
•Consider the consequences of the decision on others and the organization
Effective decision making has many benefits, including improved communication and consultation among individuals and a reduction in the negative impact of decisions across your organization.
Contact us today to find out more:enquiries@tmaworld.com
A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management
http://home.ubalt.edu/ntsbarsh/business-stat/opre/partIX.htm
Tools for Decision Analysis: Analysis of Risky Decisions
If you will begin with certainties, you shall end in doubts, but if you will content to begin with doubts, you shall end in almost certainties. -- Francis Bacon
Making decisions is certainly the most important task of a manager and it is often a very difficult one. This site offers a decision making procedure for solving complex problems step by step.It presents the decision-analysis process for both public and private decision-making, using different decision criteria, different types of information, and information of varying quality. It describes the elements in the analysis of decision alternatives and choices, as well as the goals and objectives that guide decision-making. The key issues related to a decision-maker's preferences regarding alternatives, criteria for choice, and choice modes, together with the risk assessment tools are also presented.
Professor Hossein Arsham
MENU
1. Introduction & Summary
2. Probabilistic Modeling: From Data to a Decisive Knowledge
3. Decision Analysis: Making Justifiable, Defensible Decisions
4. Elements of Decision Analysis Models
5. Decision Making Under Pure Uncertainty: Materials are presented in the context of Financial Portfolio Selections.
6. Limitations of Decision Making under Pure Uncertainty
7. Coping with Uncertainties
8. Decision Making Under Risk: Presentation is in the context of Financial Portfolio Selections under risk.
9. Making a Better Decision by Buying Reliable Information: Applications are drawn from Marketing a New Product.
10. Decision Tree and Influence Diagram
11. Why Managers Seek the Advice From Consulting Firms
12. Revising Your Expectation and its Risk
13. Determination of the Decision-Maker's Utility
14. Utility Function Representations with Applications
15. A Classification of Decision Maker's Relative Attitudes Toward Risk and Its Impact
16. The Discovery and Management of Losses
17. Risk: The Four Letters Word
18. Decision's Factors-Prioritization & Stability Analysis
19. Optimal Decision Making Process
20. JavaScript E-labs Learning Objects
21. A Critical Panoramic View of Classical Decision Analysis
22. Exercise Your Knowledge to Enhance What You Have Learned (PDF)
23. Appendex: A Collection of Keywords and Phrases
Companion Sites:
· Business Statistics
· Success Science
· Leadership Decision Making
· Linear Programming (LP) and Goal-Seeking Strategy
· Linear Optimization Software to Download
· Artificial-variable Free LP
Solution
Algorithms
· Integer Optimization and the Network Models
· Tools for LP Modeling Validation
· The Classical Simplex Method
· Zero-Sum Games with Applications
· Computer-assisted Learning Concepts and Techniques
· Linear Algebra and LP Connections
· From Linear to Nonlinear Optimization with Business Applications
· Construction of the Sensitivity Region for LP Models
· Zero Sagas in Four Dimensions
· Systems Simulation
· B.
planning process and decesion making techniquesChelJo
Process of generating & evaluating alternatives and making choices among them.
Logical sequence of activities act as a intellectual activity
It is directed at solving problems , involve some commitment of resources it is an action commitment
Decision are the means rather than ends . it aims at bringing about a resolution of conflicts.
It is a human and social process it is an art as well as science.
Core of planning and includes forecasting, an integral part of managerial process.
The Systems Development Life Cycle Moderate and large firms with uni.pdfarwholesalelors
The Systems Development Life Cycle Moderate and large firms with unique information needs
often develop information systems in-house. That is to say that information technology (IT)
professional within the firm design and program the systems. A greater number of smaller
companies and large firms with relatively standardized information needs opt to purchase
information systems from software vendors. Both approaches represent significant financial and
operational risks. a model for reducing this risk through careful planning, execution, control, and
documentation of key activities.
The five phases of this model are:
1) Business Needs and Strategy
Systems Strategy –Assess Strategic Information Needs –Develop a Strategic Systems Plan
–Create an Action Plan
2) Project Initiation –
Systems Analysis –Conceptualization of Alternative Designs –Systems Evaluation and Selection
3.) In-House Systems Development –Construct the System –Deliver the System
4). Commercial Packages –Trends in Commercial Packages –Choosing a Package
5) Maintenance and Support
The participants in systems development can be classified into three broad groups: systems
professionals, end users, and stakeholders. Systems professionals are systems analysts, systems
designers, and programmers. These individuals actually build the system. They gather facts
about problems with the current system, analyze these facts, and formulate a solution to solve the
problems. The product of their efforts is a new system. End users are those for whom the system
is built. Many users exist at all levels in an organization. These include managers, operations
personnel, accountants, and internal auditors. In some organizations, it is difficult to find
someone who is not a user. During systems development, systems professionals work with the
primary users to obtain an understanding of the users’ problems and a clear statement of their
needs. As defined in Chapter 1, stakeholders are individuals either within or outside the
organization who have an interest in the system but are not end users. These include accountants,
internal auditors, external auditors, and the internal steering committee that oversees systems
development.
Cost/Time Analysis:
As stated before, the cost/time analysis is an attempt to calculate to what degree the project and
system will meet the objectives. The SDLC must address two topics in its support of this area:
the scope of the analysis and the algorithm for doing it. Cost/Benefit Scope The benefit side of
the analysis should be expressed in quantitative terms wherever possible. Qualitative or
intangible benefits usually are reflections of poorly analyzed tangible benefits. The SDLC should
support the process of quantifying all benefits. On the costs side, the SDLC must address
development costs, installation costs and ongoing operational costs. In doing these calculations it
should differentiate between capital costs and expense costs. Cost/Benefit Algorithm The method
of calcu.
THINKING ABOUT THINKING
Audience: PM & BA
Level: All
Date: May 26
Time: 11:30 AM - 12:30 PM
Description
Thinking is a big part of a Project Manager’s and Business Analyst's job. But how often have you spent time thinking about thinking? This presentation looks at thinking as a critical soft skill for project managers and how a disciplined approach to thinking improves you effectiveness as a change agent for the company in the role of project manager. The presentation will discuss the Thinking Hats, Five Types of Thinking, and brush into the entire world of Business Analytics. The presentation focuses on how the skills of Strategic Analysis, Tactical Analysis, Predictive Analysis, Data mining work together for the complete business management cycle. To add to the thinking equation, the session will explore the power of Social Media sentiment and how the way people "feel" about things is an important factor in the business equation. Think about it !!!!
1. Participants will understand the relationship between planning, analysis, problem solving, decision making and thinking.
2. Students will be able to explain an "Adapting to Whats Happening Model" that includes Data Recording, Strategic Analysis, Tactical Analysis, Predictive Analysis, and Social Media Sentiment. And how it impacts the business.
3. Students will explore various factors of human bias and how that impacts thinking. The student will understand that bias cannot not be completely eliminated, but should be embraced as a human factor in any thinking exercise. The student will understand that personal perspective/bias is a factor, but not THE factor in thinking.
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2. Background of Decision making Models and
Techniques
Critical discussion on Various Decision
making modules with Examples
Discussion on Quantitative Tools and
Techniques in Decision making.
Considering Environmental Factors in
Decision making
Questions and Answers
PRESENTATION OUTLINE:
6. DECISION MAKING
• “The process of examining your
possibilities options, comparing them,
and choosing a course of action”…
• Examples would be: A Holiday Destination/
New Shoes/ New House/ New Car/ New
Bill/Law to be passed.. etc..
8. Six c‘s of Decision Making
Construct.
Compile.
Collect.
Compare.
Consider.
Commit.
9. The Decision-Making Process
–A set of steps that include identifying a
problem, selecting an alternative, and
evaluating the decision’s effectiveness.
1. Identifying a problem/ (Opportunity)- “My Sales reps
need new Computers”
2. Identifying decision criteria- Memory and Storage, Display
quality, Better life, Warranty, Carrying Weight
10. Contd…
4. Developing alternatives-Toshiba, SonyVaio, Dell,
Lenovo,HP, etc
5. Analyzing alternatives- Toshiba, Sony Vaio, Dell,
Lenovo, HP,
6. Selecting the best alternative
7. Implementing the alternative- e.g Toshiba
8. Evaluating decision effectiveness- How well does
the Toshiba work under required capacities.
11. DECISION MAKING MODELS
• There are several models of decision-making:
• The Rational/Classical model
• The Social Model
12. Cont…
• Simon’s bounded rationality
model/Administrative Man
Model
• Retrospective decision model
(implicit favourite model):
13. Quantitative Techniques and
Tools
• In a world of decision making, very few
decisions are ever made without a specific
method utilised. We would look at one of the
many called Quantitative Techniques in
decision making. Knowledge of quantitative
methods and their techniques is an
indispensable aid in the hands of a decision
maker.
14. Its about…Techniques
• These are the quantitative techniques that we
will look at:
Regression and Correlation Analysis
Probability Theory
Decision Making
Linear Programming
16. Cont…
Quantitative Techniques Description
Regression and Correlation A Forecasting method to which a model is formulated by means of
statistical process
Probability Theory Due to information that is not 100% correct, the probability theory
and statistics are aids within quantitative techniques to which
historical accounting and data can be processed and served in such a
manner as to serve as a forecasting method. Study of obesity in
children from the age of 5.
Linear Programming Mathematical technique to determine the optimal utilization of
limited resources. Linear Programming can be utilised to assist in
decision making, Following these procedures:
= Determine the objectives
= Identify constraints and formulate these in the form of a linear
equation and
= decide on a suitable method going forward
17. Cont..
Linear Programming Mathematical technique to determine the optimal
utilization of limited resources. Linear Programming can
be utilised to assist in decision making, Following these
procedures:
= Determine the objectives
= Identify constraints and formulate these in the form of
a linear equation and
= decide on a suitable method going forward
Integer Programming A mathematical programming that yields integer solutions
of the linear programming problems where certain
decision variables need to have integer values in the same
optimal solution within the technique of integer
programming.
Network Analysis This is a quantitative method which can be used for the
analysis of a large variety of decision making problems and
the selection of optimal alternatives. Although used in the
planning of projects, it can also be applied to decision
making.
18. Cont..
Queuing Theory This is enabled to achieve a healthy balance so that the
waiting period is not too long and service costs are not
too high. It also evaluates the effectiveness of a
particular queuing structure.
Simulation Every day phenomenon applied in various fields.it is easy
to use and can be applied in cases where it’s impossible to
solve mathematically. Experiments with every day
decisions.
E.g New Model cars, prototypes.
Learning Curve Makes forecasts thus enhancing the quality of planning
and decisions. Quantitive technique used for calculating
perceptible and predictable reduction in the time required
to carry out the same task repetitively.
20. Environmental Factors
• An identifiable element in the physical,
cultural, demographic, economic, political,
regulatory, or technological environment that
affects the survival, operations, and growth
of an organization.
21. Theseare…
Environmental issues are the external factors that
affect an organisation. The types of external factors
that can have an effect on decision making include:
• The market in which the organisation operates
• The economy
• Government legislation
• Customers' reaction to the organisation's
products and services
23. Cont…
– Personal Demographics: age, gender, stages in life cycle, education,
occupation, economic position, etc.
– Personal psychographics: includes lifestyle, attitudes, self-concept,
concern about status, value systems, beliefs etc.
– Culture: combined resulted of factors like religion, traditions, taboos,
language, education, upbringing, established pattern of social
behaviour, values (core & secondary)etc.
– Sub culture: caste
– Social class: it is determined by the education level, wealth,
occupation, profession & designation, location of residence, values,
and behaviour of its members
24. To consider…
– Intimate groups: e.g. family, friends, peer groups, close colleagues &
close-knit organisations.
• Face-to-face & frequent interactions are characteristic feature of
the group.
– Secondary groups(including Opinion leaders): based on occupation,
profession place of residence, etc., of the members.
• O.L has the high credibility & influence
• - Information, should be authentic, reliable, adequate and must
be available at time. So enough time must be there to analyse
the problem.
• It reduces the uncertainty.
• Too much information or information over-load creates confusion & delay
in decision making.
25. Thank you
• “Doing what's right isn't
hard -- Knowing what's
right is.”
Lyndon B. Johnson.
Thank You.
Editor's Notes
Construct a clear picture of precisely what must be decided.
Compile a list of requirements that must be met.
Collect information on alternatives that meet the requirements.
Compare alternatives that meet the requirements.
Consider the "what might go wrong" factor with each alternative.
Commit to a decision and follow through with it.
Finding a discrepancy (difference) between an existing (current) and a desired state of affairs (things are not going as they should).
Three Characteristics (aspects) of Problems. (Step 1)
A problem is identified when:
A manager becomes aware (conscious) of it.
There is pressure to act and solve the problem.
The resources needed to take action are available (means, authority, information).
Questions to ask is:
Is the Problem a pressing one or a dispensible one ( this will determine the model of action taken)
Is the “problem really a symptom masking the underlying problem or a root cause that contributes to actual problems
Is the problem sui generis (latin) (ONE OF A KIND) OR generic (one of a family of quite similar problems)
Managers must determine and list the relevant criteria the problem identified in step 1.
Step 2: Identify decision criteria:
Costs that will be incurred
Risks likely to be encountered
Outcomes that are desired
Prioritizing the criteria that were identified in step 2 by assigning a “weight” to each.
Step 3:
Decision criteria are not of equal importance Assigning a weight to each item places the items in the correct
priority in the decision making process.
Listing viable alternatives that could resolve the problem.
Step 4: Developing Alternatives
-Alternatives are only listed without evaluation.
Appraising each alternative’s strengths and weaknesses against the criteria
established in steps 2 and 3.
Step 5: Analyzing alternatives
-Alternatives are analyzed for their effectiveness in resolving the issue
Choosing the best Alternative
Step 6: Make A Informed choice
Choosing the best alternative from among those considered.
Implementing the alternative
Step 7:Putting the chosen alternative into action.
Conveying the decision to those who will implement it and gaining their commitment to the decision.
Evaluating the outcome of the decision to see if the problem has been resolved.
Step 8: The soundness of the decision is judged by its outcomes.
How effectively was the problem solved resulting from the chosen alternatives?
If the problem was not solved, what went wrong?
The Rational/Classical model is the first attempt to know the decision-making-process. It is considered by some as the classical approach to understand the decision-making process. The classical model gave various steps in decision-making process which have been discussed earlier.
Features of Rational/Classical Model:
1. Problems are clear.
2. Objectives are clear.
3. People agree on criteria and weights.
4. All alternatives are known.
5. All consequences can be anticipated.
6. Decision makes are rational.
i. They are not biased in recognizing problems.
ii. They are capable of processing ail relevant information
iii. They anticipate present and future consequences of decisions.
iv. They search for all alternatives that maximizes the desired results.
The Social Model: At the opposite extreme from the Classical/Rationality model is the Social model drawn from psychology. Sigmund Freud viewed humans as bundles of feelings, emotions and instincts, with their behaviour guided by their unconscious desires. These processes have even an impact in the international arena as they provide some basic rules of protocol.
Bounded Rationality Model or Administrative Man Model
Decision-making involve the achievement of a goal. Rationality demands that the decision-maker should properly understand the alternative courses of action for reaching the goals.
He should also have full information and the ability to analyse properly various alternative courses of action in the light of goals sought. There should also be a desire to select the best solutions by selecting the alternative which will satisfy the goal achievement.
Herbert A. Simon defines rationality in terms of objective and intelligent action. It is characterised by behavioural nexus between ends and means. If appropriate means are chosen to reach desired ends the decision is rational.
Bounded Rationality model is based on the concept developed by Herbert Simon. This model does not assume individual rationality in the decision process.
Instead, it assumes that people, while they may seek the best solution, normally settle for much less, because the decisions they confront typically demand greater information, time, processing capabilities than they possess. They settle for “bounded rationality or limited rationality in decisions. This model is based on certain basic concepts.
Sequential Attention to alternative solution:
Normally it is the tendency for people to examine possible solution one at a time instead of identifying all possible solutions and stop searching once an acceptable (though not necessarily the best) solution is found.
b. Heuristic:
These are the assumptions that guide the search for alternatives into areas that have a high probability for yielding success.
c. Satisficing:
Herbert Simon called this “satisficing” that is picking a course of action that is satisfactory or “good enough” under the circumstances. It is the tendency for decision makers to accept the first alternative that meets their minimally acceptable requirements rather than pushing them further for an alternative that produces the best results.
Satisficing is preferred for decisions of small significance when time is the major constraint or where most of the alternatives are essentially similar.
Thus, while the rational or classic model indicates how decisions should be made (i.e. it works as a prescriptive model), it falls somewhat short concerning how decisions are actually made (i.e. as a descriptive model).
Retrospective decision model (implicit favourite model):
This decision-making model focuses on how decision-makers attempt to rationalise their choices after they have been made and try to justify their decisions. This model has been developed by Per Soelberg. He made an observation regarding the job choice processes of graduating business students and noted that, in many cases, the students identified implicit favourites (i.e. the alternative they wanted) very early in the recruiting and choice process. However, students continued their search for additional alternatives and quickly selected the best alternative.
The total process is designed to justify, through the guise of scientific rigor, a decision that has already been made intuitively. By this means, the individual becomes convinced that he or she is acting rationally and taking a logical, reasoned decision on an important topic.