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decision support system

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Ahmad Bzour

on 4 January 2013

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Transcript of decision support system

submitted to:Dr khulood Abu Maria
submitted by:ahmad tahseen bzour Decision support system Definition of DSS Decision Support Systems (DSS) are a specific class of computerized information system that supports business and organizational decision-making activities. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions. Decision Making as a Component of Problem a Performs different types of analyses
“What-if” analysis
Makes hypothetical changes to problem and observes impact on the results
Simulation
Duplicates features of a real system
Goal-seeking analysis
Determines problem data required for a given result
sensitivity analysis Optimization model
Finding the best solution
Satisficing model
Finding a good -- but not necessarily the best -- solution to a problem
Heuristics
Commonly accepted guidelines or procedures that usually find a good solution Solution Types Problem Solving Factor Multiple decision objectives
Increased alternatives
Increased competition
The need for creativity
Social and political actions
International aspects
Technology
Time compression Characteristics of a DSS Handles large amounts of data from different sources
Provides report and presentation flexibility
Offers both textual and graphical orientation
Supports drill down analysisPerforms complex, sophisticated analysis and comparisons using advanced software packages
Supports optimization, satisficing, and heuristic approaches Supports drill down analysis
Performs complex, sophisticated analysis and comparisons using advanced software packages
Supports optimization, satisficing, and heuristic approaches What-if Analysis The decision maker changed different
variables of the problem to view the
change on the remaining variables using the what-ifanalysis. Sensitivity analysis is a special type of what-if analysis. The decision maker will change onlyone variable of the problem to view change onthe remaining variables. Sensitivity analysis The decision maker will set a target figure for the required variables and try to evaluate there maining variables using
a goal-seeking analysis a goal-seeking analysis Capabilities of a DSS Supports:
Problem solving phases
Different decision frequencies Highly structured problems:
Straightforward problems, requiring known facts and relationships Semi-structured or unstructured problems
Complex problems where in relationships among data
are not always clear, the data may be in a variety
of formats, and are often difficult to manipulate
or obtain video about goal seeking video about sensitivity analysis video about what if analysis
Integration ofTPS, MIS, and DSS In many organizations they are integrated through a common database
Separation of DSS transactions in the database from TPS and MIS transactions may be important for performance reasons
Web-Based Decision Support Systems Web-based decision support systems
Decision support system software provides business intelligence through web browser clients that access databases either through the Internet or a corporate intranet
Components of a DSS Model management software (MMS)
-Coordinates the use of models in the DSS
Model base
-Provides decision makers with access to a variety of models
Dialogue manager
-Allows decision makers to easily access and manipulate the DSS
Model Base Model Base-Provides decision makers with access to a variety of models and assists them in decision making
*Models
-Financial models
-Statistical analysis models
-Graphical models
-Project management models
Advantages and Disadvantagesof Modeling Advantages-Less expensive than custom approaches or real systems.-Faster to construct than real systems-Less risky than real systems-Provides learning experience (trial and error)-Future projections are possible-Can test assumptions
Disadvantages-Assumptions about reality may be incorrect-Accuracy of predications often unreliable-Requires abstract thinking
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