DSS-1.pptx

DECISION SUPPORT SYSTEM
Prepared by:
Dr. Hasanul Fahmi, M.Kom

The Autonomous Professional
Profile
Bachelor of Information SYSTEM
1. Having excellent skills as an Information
System Professional and ability to lead
innovation at Enterprise through
Information System Technology utilization.
2. Having technopreneurial quality to develop
and lead an independent business by
incorporating various technologies and
cross-disciplinary approaches.
3. Having excellent ability in knowledge
transfer to advance the Information System
field through the publication of innovative,
creative, and applicable scientific works.

program
learning
outcome
Bachelor of
Information
System
1. Possessing the ability to identify and analyze complex problems in
the field of computing by utilizing principles of computing,
supported by other related fields, to develop innovative and
creative solutions in accordance with the development of cross-
disciplinary fields
2. Possessing the skills to design computing-based solutions and to
implement them by applying modern style techniques in order to
offer complete solutions based on appropriate requirements, and
to evaluate the solutions in a certain domain
3. Possessing the proficiency to communicate properly and correctly,
both orally and in writing, in a variety of domains
4. Possessing a professionally responsible attitude and the ability to
conduct assessments based on data and information in computing
practices while paying attention to ethical and legal norms
5. Possessing the capability to be effective and efficient leaders or
team members in a variety of activities, that are relevant to both
the field of information systems and those of other fields
6. Possessing the ability to support the concept, delivery, utilization,
and management of information systems within an industrial and
business environment in particular, as well as those of other
environments
7. Possessing an entrepreneurial attitude and the capability to design
an independent business/start-up related to information systems
8. Being able to learn independently as a lifelong study, and to
generate and transfer cutting-edge scientific knowledge

Course Learning Outcomes
CLO 1. Students are able to identify the basic
concepts of DSS and Expert System (support PLO
1)
CLO 2. Students are able to identify the decision
making problems, analyze and design a model
(support PLO2)
CLO 3. Students are able to demonstrate of
process development of DSS design and ES
(support PLO6)

Agenda
• 1. The basic concept of Decision Support System
(DSS)
• 2. The component and classification of DSS
• 3. Modeling and analysis in DSS
• 4. Mathematical model and programming in DSS
• 5. AHP (analytical Hierarcy Process)
• 6. Simplex Methods and Project Initiation
• 7. User interface and visualization of decision
making
• 8. Project Demonstration

Agenda
9. Intellegent Decision Support
10. Expert System
11. Forward Chaining
12. Backward Chaining
13. Simple additive weighting (SAW)
14. Teorema Bayes
15. Certainty Factor
16. Final Project Demonstration

Class Grading
• ALL COMPONENTS CLASS PROJECT – 30%
• MIDTERM – 30%
• FINAL EXAM – 40%
• BOOSTER :
– CLASS PARTICIPATIONS
– CLASS ATTENDANCE

What is DSS?
 Decision Support System
 is a computer-based information system that
supports business or organizational decision-
making activities.
 is an interactive software-based system intended
to help decision makers compile useful
information from a combination of raw data,
documents, and personal knowledge, or business
models to identify and solve problems and make
decisions.

What is DSS?
 provides tool to manager to assist them in
solving semi- structured and unstructured
problems in their own.
 is an information system that support to
managers for decision making.

A brief History?
Academic Researchers from many disciplines has
been studying DSS for approximately 40 years.
According to Keen and Scott Morton (1978), the
concept of decision support has evolved from two
main areas of research: the theoretical studies of
organizational decision making done at the
Carnegie Institute of Technology during the late
1950s and early1960s, and the technical work on
interactive computer systems, mainly carried out at
the Massachusetts Institute of Technology in the
1960s.

A brief History..
It is considered that the concept of DSS
became an area of research of its own in the
middle of the 1970s, before gaining in
intensity during the 1980s.
In the middle and late 1980s, Executive
Information Systems (EIS), group decision
support systems (GDSS), and organizational
decision support systems (ODSS) evolved
from the single user and model-oriented DSS.

EVOLUTION OF DSS
CONCEPTS
1960’S 1970’S 1980’S 1990’S
MIS & Structured
Reports
Brand Aid Keyboard Data Warehouse
Interactive System
Research
MDS EIS OLAP
Theory Development RDBMS Expert Systems Data Mining

TYPES OF DSS
1. MODEL- DRIVEN DSS
 includes system that use accounting,
financial models, and representational
models.
2. DATA DRIVEN DSS
 file drawer & management reporting
system, data warehousing, geographical
information.

TYPES OF DSS
3. KNOWLEDGE DRIVEN DSS
 are computer systems with specialized
problem solving expertise.
4. DOCUMENT DRIVEN DSS
 is evolving to help manager retrieves &
manage unstructured document.

TYPES OF DSS
5. COMMUNICATION DRIVEN GROUP
DSS
 includes communication, collaboration and
DSS technologies that do not fit within those
DSS type hybrid.
6. INTRA ORGANIZATIONAL DRIVEN DSS
 are design for use by individuals to a
company as standalone DSS or use group of
managers in a company.

TYPES OF DSS
7. INTER ORGANIZATION DRIVEN DSS
 provide stakeholders with access to a company’s
intranet and authority or privileges to use specific
DSS capabilities.
8. FUNCTIONS OR SPECIFIC ON GENERAL
PURPOSE
 help a person to accomplish specific decision task.
 help support broad task like project management,
decision analysis and business planning.

TYPES OF DSS
9. WEB BASED DSS
 is a computerized system that delivers
decision support information or decision
support tools to a manager or business
analyst using their client web browser
like internet explorer and mozilla firefox.

CHARACTERS AND
CAPABILITIES OF DSS
1. Provide support in semi- structured and
unstructured solutions, includes human
judgement and computerized information.
2. Support for various managerial levels.
3. Support to individuals and group.
4. Support to interdependent and/or sequential
decisions.
5. Support all phases of the decision- making
process.

CHARACTERS AND
CAPABILITIES OF DSS
6. Support a variety of decision making process
of styles.
7. Are Adaptive
8. Have user friendly interfaces.
9. Goal improve effectives of decision making.
10. The decision maker controls the decision
making process.
11. End users can build simple systems.

CHARACTERS AND
CAPABILITIES OF DSS
12. Utilizers models for analysis.
13. Provides access to a variety of data
sources format and types.
14. Can be employed as a standalone tool
used by an individual decision maker in
one location in distributed throughout an
organization and in several organizations
along supply chain.

OBJECTIVES OF DSS:
1. Create allows the decision makers to make or
create a much better or consistent decision in a
timely manner.
2. Helps a single person on group or group to
come up with a decision.
3. Inter dependent
4. Decision making has its own phrases that
should be followed step by step procedure.

OBJECTIVES OF DSS:
5. Data warehousing.
6. Can easily adopt to the different changes.
7. Can easily be understand on the sequences of
the DSS.
8. Computer proficiency.
9. Improve the decisions for lesser mistakes.
10. Decision maker can be individual or group.

OBJECTIVES OF DSS:
11. End users can create a simple system
for himself even if or a manual system.
12. Can use the models to analyze
decisions.
13. All the information in any types of
decision can be provided.
14. Either a standalone of web- based
format can be used.

ALTERNATIVES OF DSS
NEEDS OF DSS: DSS have become necessary
for today’s manager because of the following
reason:
1. FAST COMPUTATION
 A decision maker can perform a large number
of computation very quickly and that too at a
low cost with the help of computer support
system.

ALTERNATIVES OF DSS
2. ENHANCED PRODUCTIVITY
 Decision support system can enhance the
productivity of support staff and also enable
the group members to disclose the problems
among themselves as distance.
3. BETTER DECISION
 Computer support system can help a decision
maker in arriving at a better decision.

ALTERNATIVES OF DSS
4. DATA TRANSMISSION
 Sometimes the data, which may be
stored at different locations, may be
required to be transmitted quickly from
distant locations. Computer support
system can be search, stored and
transmitted the required data quickly and
economically.

ROLE OF DSS IN BUSINESS
DSS is computer based information for management
decision maker who deal with the semi- structure
problems. DSS play an important role in business, it
performs various activities. The role of DSS is explained
as follows:
1. WHAT IF ANALYSIS
 this is the process of accessing the impart of variables.
This helps manager to be proactive rather that reactive
in their decision making. This analysis is critical for
semi- structured and unstructured problem because the
data necessary to make such decision are not available.

2. GOAL ORIENTED
 it is a process of determining the input
values required to achieve a certain goal.
3. RISK ANALYSIS
 risk is the important factor which affects
the business enterprise. DSS allows
manages to the risk associate with various
alternatives.

4. MODEL BUILDING
 DSS allows decision maker to identify the
most appropriate model for solving the
problems.
5. GRAPHICALANLYSIS
 this help managers to quick digest large
volumes of data and visualize the impacts of
various because courses of action.

They recommends the use of graph when:
a. Seeking quick summary of data
b. Forecasting activities
c. Detecting trends over time
d. Composing points and patterns at different
variables

STEPS IN CONSTRUCTNG DSS
1. IDENTIFICATION OF THE PROBLEM
 in this stage the developer and the knowledge engineer
interact to identify problems. The following points are
discussed:
a. The scope and intent are analyzed.
b. The return of investment analysis is done.
c. The amount of resources needed is identified.
d. Areas in the problems that can give much trouble are
identified and conceptual solution of the problem is
found.
e. Overall specification is made.

2. DEVELOPMENT OF PROTOTYPE
 before the development of a prototype we decide
the knowledge level to solve the particular
problem. For this we adopted some methods in
sequence . After this the taste of knowledge of
Engineer and developer which interact frequently
and domain specific knowledge is entrance. When
knowledge representation scheme and knowledge
is available a prototype is constructed.

3. DECISION ABOUT MODE OF
DEVELOPMENT
 once the problem is identified, the immediate
step would be to decide about the vehicle for
development. He can develop shell for
development by any programming language. In
this stage, various shell and tools are identified
and analyzed for their suitability. These tools
whose features fit the characteristic of the
problem are analyzed in details.

4. PROTOTYPE VALIDATION
 the prototype under goes the process of testing
for various problems and revision of the prototype
takes place. It is very important step of DSS.
5. PLANNING FOR FULL SCALE SYSTEM
 in prototype construction, the area in the problem
that can be implemented with negative case is
first choice intensive planning is done.

6.FINAL IMPLEMENTATION,
MAINTENANCE AND EVALUATION
 This is the final stage of DSS Life Cycle.
The full scale system developed is
implemented at the basic resources
requirement are fulfilled and parallel
conversion.

GROUP DECISION SUPPORT
SYSTEM (GDSS)
 is a decision support system that
facilitates decision making by a team of
decision makers working as a group.
 is an interactive computer based system
that facilitates solution of unstructured
problem by a set of decision makers by
working together as a group.

SYTEM
 a GDSS is a DSS that facilitates decision
making by a team of decision maker working
as a group.
 a GDSS is an interactive computer based
system that facilitates solution of unstructured
problem by a set of decision makers working
together as a group.

CHARACTERISTICS OF GDSS
The goal of GDSSs is to improve the productivity of
decision-making meetings, either by speeding up the
decision-making process or by improving the quality of
the resulting decisions, or both. This is accomplished by
providing support for the exchange of ideas, opinions,
and preferences within the group.
1. Supporting parallel processing of information and
idea generation by participants.
2. Enabling larger groups with more complete
information, knowledge, and skills to participate in the
same meeting.

3.Permitting the group to use structured or
unstructured techniques and methods of arriving at
decisions.
4. Offering rapid and easy access to external
information.
5. Allowing nonsequential computer discussion.
(Unlike oral discussions, computer discussions do
not have to be serial or sequential.)
6. Producing instant, anonymous voting results.

7. Providing structure to the planning process,
which keeps the group on track.
8. Enabling several users to interact
simultaneously.
9. Automatically recording all information that
passes through the system for future analysis (it
develops organization memory

7. Providing structure to the planning process,
which keeps the group on track.
8. Enabling several users to interact
simultaneously.
9. Automatically recording all information that
passes through the system for future analysis (it
develops organization memory.)
10. A GDSS is specially designed information
system .

11. A GDSS is easy to learn and to use.
12. A GDSS is designed with the goal of
supporting group of decision makers in their
work.
13. The GDSS is designed to encourage
activities such as idea generation, conflict
resolution and freedom of expression.

TYPES OF GDSS
1. DECISION NETWORK
 this type helps the participants to communicate
each other through network or through a central
database. Application software may used
commonly shared models to provide support. The
common implementation using local area network
and microcomputer. The technology filters out
many group dynamics of participative meeting.

TYPES OF GDSS
2. DECISION ROOM
 Participants are located at one place i.e. the
decision room. The purpose of this is to
enhance participants interaction and decision
making by computerized within a fixed period
of time using a facilitators.

TYPES OF GDSS
3. TELE CONFERENCING
 groups are composed of numbers or groups
that are geographically disordered
teleconferencing provides interactive
connection within two or more decision rooms.
This interaction will involved transmission of
computerized audio visual information.

ADVANTAGES OF GDSS
1. Take better decision.
2. To solve the problem.
3. To minimize the risks.
4. To collect the amount of information.
5. To improve interactive communication.
6. Improve the decision making process.
7. To make coordination in various activities.

ADVANTAGES OF GDSS
1. TAKE BETTER DECISION
through the GDSS we can take better decision
because under GDSS, the decision are taken by
group.
2. TO SOLVE THE PROBLEM
 GDSS provides solution to unstructured
problems. GDSS collects various types of
information at various sources.

ADVANTAGES OF GDSS
3. TO MINIMIZE THE RISK
 GDSS allows managers to assess the risks
associated with various alternatives. This helps
managers to be proactive rather than reactive.
4. TO COLLECT THE AMOUNT OF
INFORMATION
 GDSS collect information at various sources for
decision making. This information minimizes the
risk.

ADVANTAGES OF GDSS
5. TO PROVIDE INTERACTIVE COMMUNICATION
 GDSS provide interactive information. It takes better
decision through the interactive communication.
6. TO IMPROVE THE DECISION MAKING
PROCESS
 GDSS improve the decision making process because
GDSS is a goal-oriented when the GDSS is designed,
the goal is considered.

ADVANTAGES SOF GDSS
7. TO MAKE COORDINATION IN VARIOUS
ACTIVITIES
GDSS decision are taken by a group
GDSS. The work is divided into different
parts then each DSS performs own work.

DISADVANTAGES OF GDSS
1. More chances for clash of opinions are there.
2. Very large group bring work complex.
Application and Uses of Group Decision Support
System:
1. For meeting
2. Marketing

DISADVANTAGES OF GDSS
3. Banking Sector
4. Stock Exchange/foreign market
5. Brainstorming
6. Maintaining records
7. Assessing the judgement task
8. Office automation
9. Documentation
10. Engineering firms

COMPONENTS OF GDSS
1. HARDWARE
 it includes single PC and keypads, a decision
room distributed GDSS audio visual aids, network
equipment, etc.
2.SOFTWARE
 GDSS software includes modules to support the
individual, the group, the process and scientific
tasks. The software allows each individual o do
private work, the usual collection of text and file
creation, graphics, spread sheets and DBMS.

COMPONENTS OF GDSS
4. PROCEDURE
 it enables ease of operation and effective
use of the technology by group members.
5. PEOPLE
 users and stakeholders

Group Decision Support System
How GDSS can improve group decision
making?
Group Decision Support System helps to
enhance group decision making by the following
ways:
1. Improved Pre-planning
 improved pre-planning forces an agenda to
keep the meeting on task.

2. Increased participation
 more numbers of person results to more
effective contribution towards decisions.
3. Open, collaborative meetings atmosphere
 help to provide open and collaborative
meeting atmosphere which provide non-
judgemental input all attendees.

4. Criticism free idea generation
 Group Decision Support System provide
criticism, free idea generation with more
inputs and better ideas.
5. Documentation of Meeting
 Group Decision Support System helps for
effective documentation of meetings which are
used for further decision and use.

6. Setting Priorities and Making Decisions
 Group Decision Support System help to
set the priorities and give importance to
those problems which are more critical.

SYSEM
DECISION MAKING
 is an essential part of modern management. A
manager’s life is filled with a constant series of
decision- where to invest profits, what to do
about an employee who is always late, where
should the firm’s new warehouse to built, what
subject will have to priority at the department
meeting the next morning and so on..

 decision which are relatively minor are taken
almost subconsciously, the rules and patterns
of behavior established over many previous
encounters with the problem.
 is a key part of a manager’s activities. It
permits through all managerial functions such
as planning, organizing, directing and
controlling.

 in planning it is through the process of
decision making that objectives and policies
are down and the managers decides many
things such as what to produce, what to sell,
where, when, now and so on..
 in organizing, decision making relates to the
choice of structure, nature and form of
organization, division of work, delegation of
authority, fixing of responsibility and the like.

Decision Making
 in directing, decision making relates to
determining the course, deciding the orders
and instructions to be given, providing
dynamic leadership and similar other issues.
 In controlling, the decision relate to the laying
down of performance standards strategic
control points, procedure for control, and so
on.

Decision Making
Decision
 is a choice between two or more alternatives.
This implies three things:
1. When managers make decision they are
choosing- they are deciding what to do on the
basis of some conscious and deliberate logic or
judgement.

Decision Making
2. Managers have alternatives available
when they are making a decision. It does
not require a wise manager to reach a
decision when there are no other possible
choices. It does require wisdom and
experience to evaluate several alternatives
and select the best one.

Decision Making
3. Managers have a purpose in mind
when they make a decision. There
would be no reason for carefully
making a choice among alternative,
unless the decision brings them closer
to the goal.

Two types of Decision
1. Programmed Decision
 are decision that have been made so
many times in the past that managers
have developed rules for guideline to
be applied when certain situation are
expected to occur.

Programmed Decision
 programmed decision making are a
routine that you make every time so that
the organization run smooth. Managers
can develop rules and guidelines to
regulate all routine organizational
activities. Most decisions are related to
daily activity.

Non- Programmed Decision
 are made in response to unusual
opportunities and threats.
 this type of decision making does
not need rules or guidelines to be
followed because the situation
unexpected or uncertain.

In programmed decision making there will no
error in the decision because it is routine and
managers usually have the information they
need to create rules and guideline to be
followed by other.
 Non-programmed decision making are likely
to have an error because it cause more
problems for managers and is inherently
challenging.

Major and Minor Decisions
1. Degree of Futurity of Decision
2. Impact of the decision on other
functional areas.
3. Qualitative factors that enter the
decision
4. Recurrences of Decision.

DSS-1.pptx

Recommended

Recommended

More Related Content

Similar to DSS-1.pptx

Similar to DSS-1.pptx (20)

More from fahmi324663

More from fahmi324663 (11)

Recently uploaded

Recently uploaded (20)

DSS-1.pptx

Editor's Notes