Course Content
DSS – Introduction, Attributes, Characteristics, Benefits
Decision Support System (DSS): Concept and Philosophy, DSS: Deterministic Systems, Artificial intelligence (AI) System, Knowledge based expert system (KBES), MIS & the role of DSS, Transaction Processing System (TPS), Enterprise Management System (EMS), Enterprise Resource Planning (ERP) System, Benefits of ERP, EMS & ERP
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Classification of DSS
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Types – Decision Support System
Decision support systems can be broken down into categories, each based on their primary sources of information.
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Knowledge Based Expert System (KBES)
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Enterprise Management System (EMS)
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Enterprise Resource Planning (ERP) System
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Management Information System
Decision Support System

Decision support systems (DSS) are interactive software-based systems intended to help managers in decision-making by accessing large volumes of information generated from various related information systems involved in organizational business processes, such as office automation system, transaction processing system, etc.

DSS uses the summary information, exceptions, patterns, and trends using the analytical models. A decision support system helps in decision making but does not necessarily give a decision itself. The decision makers compile useful information from raw data, documents, personal knowledge, and/or business models to identify and solve problems and make decisions.

Programmed and Non-programmed Decisions

There are two types of decisions – Programmed and Non-Programmed Decisions.

Programmed Decisions are basically automated processes, general routine work,
where-

  •  These decisions have been taken several times.
  • These decisions follow some guidelines or rules.

For example, selecting a reorder level for inventories, is a programmed decision.

Non-Programmed Decisions occur in unusual and non-addressed situations, so −

  • It would be a new decision.
  • There will not be any rules to follow.
  • These decisions are made based on the available information.
  • These decisions are based on the manger’s discretion, instinct, perception and judgment.

For example, investing in a new technology is a non-programmed decision.

Decision support systems generally involve non-programmed decisions. Therefore, there will be no exact report, content, or format for these systems. Reports are generated on the fly.

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