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Decision Support Systems
C H A P T E R
10
Decision Making and Problem Solving
Decision Making: A Problem Solving Component
Decision-making phaseIntelligence stageDesign stageChoice stage
[Figure 10.1]
Decision-Making Phase
Intelligence stage (first stage)Identify and define potential problems and/or
opportunities
Design stage (second stage)Develop alternative solutions to the problem
Choice stage (last stage)Select a course of action
Problem Solving
Decision-making (intelligence, design, and choice) plus:Implementation stageMonitoring stage
[Figure 10.1]
Problem Solving
Implementation stageTake action to put the solution into effect
Monitoring stageEvaluate the implementation of the solution
Programmed vs. Nonprogrammed Decisions
Programmed decisionsAre made using a rule, procedure, or quantitative method
Nonprogrammed decisionsDeal with unusual or exceptional situations
[Figure 10.3]
Optimization, Satisficing, and Heuristic Approaches
Optimization modelInvolves finding the best solution
Some spreadsheets have optimizing routines.
Optimization, Satisficing, and Heuristic Approaches
Satisficing modelInvolves finding a good -- but not necessarily the best --
solution
HeuristicsCommonly accepted guidelines or procedures that usually
find a good solution
Problem-Solving Factors
Multiple decision objectives
Increased alternatives
Increased competition
Need for creativity
Social and political actions
International aspects
Technology
Time compression
An Overview of Decision Support Systems
Decision Support Systems
An organized collection of people, procedures, software, databases, and devices used to support problem-specific decision making
Focus on decision-making effectiveness when faced with unstructured or semi-structured business problems
Characteristics of a DSS
Handles large amounts of data from different sources
Provides report and presentation flexibility
Offers both textual and graphical orientation
Characteristics of a DSS
Supports drill down analysis
Performs complex, sophisticated analysis and comparisons using advanced software packages
Supports optimization, satisficing, and heuristic approaches
Characteristics of a DSS
Performs different types of analyses“What-if” analysis
Makes hypothetical changes to problem and observes impact on the results
SimulationDuplicates features of a real system
Goal-seeking analysisDetermines problem data required for a given result
Sample Goal-Seeking Analysis
[Figure 10.5]
Capabilities of a DSS
Support for problem-solving phases
Support for different decision frequenciesAd hoc DSS
One-of-a-kind
Institutional DSSRepetitive
continued...
Capabilities of a DSS
Support for different problem structuresHighly structured problems
Straightforward; known facts/relationships
Semi-structured or unstructured problemsComplex; unclear data relationships; data in various formats; data
difficult to manipulate or obtain
DSSs and Spheres of Influence
Decision support systems can support all three levels of spheres of influence:Individual support - DSSGroup support - GDSSEnterprise support (top management) - ESS
Components of a Decision Support System
Conceptual Model of a DSS
[Figure 10.9]
The Model Base
Gives decision makers access to a variety of models and assists them in the decision-making process
Model management softwareCoordinates the use of models in a DSS
Types of DSS Models
Financial modelsProvide cash flow, internal rate of return, and other
investment analysis
Statistical analysis modelsProvide summary statistics, trend projections, and
hypothesis testing
Types of DSS Models
Graphical modeling programsAssist decision makers in designing, developing, and
using graphic displays of data and information
Project management modelsHandle and coordinate large projectsHelp users discover critical activities and tasks that could
delay or jeopardize an entire project
Advantages of Modeling
Less expensive, faster than experimenting with custom approaches or real systems
Less risky than experimenting on real systems, yet still shows how a decision might affect the overall system Permits complex relationships to be analyzed and
projected into the futureAllows decision makers to test important assumptions of
the model and ensure accuracy and validity before using it in decision making
Disadvantages of Modeling
May be time consuming to decide which model to use (numerous choices)
Potential for results to be misleading May be difficult to build and hard to interpret
(high degree of mathematical sophistication)Expensive to develop if used only once
The Group Decision Support System
The Group DSS
Consists of most of the elements in a DSS, plus GDSS software to support group decision making
Also known as a computerized collaborative work system
Configuration of a GDSS
[Figure 10.12]
Characteristics of a GDSS
Special designEase of useFlexibilityDecision-making supportCost, control, and
complexity factors
Anonymous inputReduction of negative
group behaviorParallel communicationsAutomated record
keeping
GDSS Decision-Making Support
Delphi approachUsed when group decision makers are geographically
dispersed
BrainstormingInvolves decision makers offering ideas “off the top of
their heads”Fosters creative and free thinking
GDSS Decision-Making Support
Group consensus approachForces members in a group to reach a unanimous decision
Nominal group techniqueEncourages feedback from individual group members
GDSS Software
Offers useful tools for group workCompound documents
Include documents to be created, used, and shared by members of a group
Groupware (workgroup software)Helps with joint work group scheduling, communication, and
management
GDSS Alternatives
[Figure 10.14]
GDSS Alternatives
Decision room alternativeDecision makers are located
in the same building or geographic area.
Decision makers are occasional users of the GDSS approach.
GDSS Alternatives
Local area decision networkGroup members are located in the same building or
geographic area.Group decision making is frequent.
Teleconferencing alternativeLocation of group members is distant.Decision frequency is low.
GDSS Alternatives
Wide area decision networkLocation of group members is
distant.Decision frequency is high.Virtual workgroups
Groups of workers located around the world working on common problems via a GDSS
The Executive Support System
The Executive Support System (ESS)
A specialized DSS that includes all hardware, software, data, procedures, and people used to assist senior-level executives within the organization
Also known as an executive information system (EIS)
Layers of ExecutiveDecision Making
[Figure 10.17]
Characteristics of an ESS
Tailored to individual executives
Easy to useOffer drill-down abilitiesSupport the need for
external data
Can help with situations that have a high degree of uncertainty
Have a futures orientationLinked with value-added
business processes
Capabilities of an ESS
Support for defining an overall visionSupport for strategic planningSupport for strategic organizing and staffingSupport for strategic controlSupport for crisis management
DSS Development
DSS Development
Usually developed with a DSS generator and DSS tools for a specific applicationDSS generator
A generalized program that facilitates development of a specific DSS
Specific DSSA DSS developed for a single or unique situation or problem