DSS by yaosaigeng


      The term decision support system (DSS) was
invented more than a decade ago and has taken on a
wide range of meanings:
 * Scott Morton – “..DSS is an interactive, computer-
 based system which helps decision makers utilize data
 and models to solve unstructured problems..”

 * Gerry Wagner – “..DSS is a tool, usually computer-
 based, for the purpose of executive mind support..”
An interactive, computer-based information
system that possess some decision-making
or decision-aiding capability. It utilizes
heuristic decision rules, models, and a
comprehensive database to augment the
decision maker’s own insights.
DSS Attributes
- Tend to be used for less well-structured problems that
managers typically face.
- Use models or analytical techniques to data access
and retrieval functions.
- Are designed to be easy to use in an interactive mode.
- Often utilize fourth-generation languages or DSS
generators in order to be adaptable to changes in the
decision environment and the decision-making style of
the user.
- Focus more on decision effectiveness done on
computational efficiency.
DSS – MIS OR/MS Interface
 * possesses attributes of   MIS and;

 * Decision-making capability of OR/MS
Decision support systems can be
classified on a continuum according to
their degree of decision-making capability

Far left – pure info. System devoid of any decision-
making capability

Far right – pure DSS created for      aiding the
decision-making process
Three Phases of Decision Making
        Two Categories of
       OR/MS Applications

* Decision-Oriented
* Decision-Process
* Decision-Oriented
  Studies that assist management In
    making one-time, non-recurring
Examples of

* Corporate Mergers or Acquisitions

* Self-maintenance of delivery trucks

* Airline fleet decisions
* Decision-Process

  Applications where OR/MS
  models make or suggest
  solutions to recurring
Examples of
* Progressive inventory systems

* Pipelining scheduling

* Airline seat allocations
DSS Schematic
Benefits of DSS
• More alternatives examined
• More effective and better quality decisions
• Fast response to unexpected problems
• Ability to do “what if” and ad hoc analysis
• Ability to perform analysis based on analytical
  or optimization models
• Ability to perform simulation analysis
• Cost savings
• Time savings
Impediments to DSS

•   Lack of User Demand
•   Lack of System Designer Motivation
•   Lack of System Designer Expertise
•   Reluctance to Change
•   Increased Risk of Failure
Who should motivate the Design and
 Implementation of a DSS?
  • The User/Decision-Maker
  • The DP Professional
  • The OR/MS Professional

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