Title: Information and Decision Support Systems
1Information and Decision Support Systems
2Principles and Learning Objectives
- Good decision-making and problem-solving skills
are the key to developing effective information
and decision support systems. - Define the stages of decision making.
- Discuss the importance of implementation and
monitoring in problem solving.
3Principles and Learning Objectives
- The management information system (MIS) must
provide the right information to the right person
in the right fashion at the right time. - Define the term MIS and clearly distinguish the
difference between a TPS and an MIS. - Discuss information systems in the functional
areas of business organizations.
4Principles and Learning Objectives
- Decision support systems (DSSs) are used when the
problems are more unstructured. - List and discuss important characteristics of
DSSs that give them the potential to be effective
management support tools. - Identify and describe the basic components of a
DSS.
5Principles and Learning Objectives
- Specialized support systems, such as group
decision support systems (GDSSs) and executive
support systems (ESSs), use the overall approach
of a DSS in situations such as group and
executive decision making. - State the goals of a GDSS and identify the
characteristics that distinguish it from a DSS. - Identify the fundamental uses of an ESS and list
the characteristics of such a system.
6Decision Making and Problem Solving
7Decision Making as a Component of Problem Solving
8Programmed versus Nonprogrammed Decisions
- Programmed decisions
- Structured situations with well defined
relationships - Quantifiable
- Management information system
- Easy to computerize
- Nonprogrammed decisions
- Rules and relationships not defined
- Problem is not routine
- Not easily quantifiable
9Problem Solving Approaches
- Optimization find the best solution
- Satisficing find a good solution
- Heuristics rules of thumb
10Optimization, Satisficing, and Heuristic
Approaches
11An Overview of Management Information Systems
12 Inputs to an MIS
13Outputs of an MIS
14Outputs of an MIS
15Developing Effective Reports
16Characteristics of an MIS
- Fixed format, standard reports
- Hard-copy or soft-copy reports
- Uses internal data
- User-developed reports
- Users must request formal reports from IS
department
17Functional Aspects of the MIS
18Functional Aspects of an MIS
19Financial MIS
20Manufacturing MIS
- Design engineering
- Process control
- Computer-assisted manufacturing (CAM)
- Computer-integrated manufacturing (CIM)
- Flexible manufacturing system
- Quality control and testing
21Overview of a Manufacturing MIS
22Master Production Scheduling and Inventory Control
23Quality Control and Testing
24Marketing MIS
25Product Pricing
26Product Pricing
27Human Resource MIS
28Other MIS
- Accounting management information systems
- Geographic information systems (GIS)
29Characteristics of Decision Support Systems
- Handle large amounts of data from various sources
- Provide report and presentation flexibility
- Offer both textual and graphical orientation
- Support drill down analysis
30An Overview of Decision Support Systems
31Characteristics of a DSS
- Perform complex, sophisticated analysis
- Optimization, satisficing, heuristics
- Simulation
- What-if analysis
- Goal-seeking analysis
32Characteristics of a DSS
33 Capabilities of a DSS
- Support all problem-solving phases
- Support different decision frequencies
- Support different problem structures
- Support various decision-making levels
34 Selected DSS Applications
35Support for Various Decision-Making Levels
36Comparison of DSSs and MISs
37Comparison of DSSs and MISs
38Components of a DSS
39Components of a DSS
40The Model Base
- Financial models
- Cash flow
- Internal rate of return
- Statistical analysis models
- Summary statistics
- Trend projections
- Hypothesis testing
- Graphical models
- Project management models
41The Model Base
42 Data-driven versus Model-driven DSS
- Data-driven DSS - primarily performs qualitative
analysis based on the companys databases - Model-driven DSS - primarily performs
mathematical or quantitative analysis
43Group Decision Support Systems
44Group Decision Support System
45Characteristics of a GDSS
- Special design
- Ease of use
- Flexibility
- Decision-making support
- Anonymous input
- Reduction of negative group behavior
- Parallel communication
- Automated record keeping
46GDSS Alternatives
47The Decision Room
48Executive Support Systems
49Executive Support Systems
50Executive Support Systems (ESS) in Perspective
- Tailored to individual executives
- Easy to use
- Drill down capabilities
- Support need for external data
- Can help when uncertainty is high
- Future-oriented
- Linked to value-added processes
51Capabilities of an ESS
- Support for defining an overall vision
- Support for strategic planning
- Support for strategic organizing staffing
- Support for strategic control
- Support for crisis management
52Summary
- Management information system - an integrated
collection of people, procedures, databases, and
devices that provide managers and decision-makers
with information to help achieve organizational
goals - Decision-making phase includes intelligence,
design, and choice - Problem solving also includes implementation and
monitoring - Decision approaches optimization, satisficing,
and heuristic
53Summary
- Decision support system (DSS) - an organized
collection of people, procedures, software,
databases, and devices working to support
managerial decision making - Group decision support system (GDSS) - also
called a computerized collaborative work system,
consists of most of the elements in a DSS, plus
software needed to provide effective support in
group decision-making settings - Executive support systems (ESSs) - specialized
decision support systems designed to meet the
needs of senior management