CA786

DECISION SUPPORT SYSTEMS

Pre-requisite: Knowledge of computers and its general applications and basic understanding of managerial decision making in functional areas of management.

Outline:

Decision making process- problem solving techniques- how decisions are being supported- decision styles- group decision making.

Features of various CBIS. DSS - characteristic and capabilities of DSS- components of DSS Classification of DSS.

Sources of data- data file environment – database environment – data models- relevance of relational Database design in DSS. Model Base Management Systems: Types of models- function, time, certainty, uncertainty, risk, structure- OR models- Dichotomous model of mind- Simon's model in information system design.

User interface: graphics, menus, forms, DSS tools- DSS generators- specific DSS, Constructing a DSS steps in designing a DSS- identification of decision, building of DBMS, MBMS and DGMS- implementation, performance, testing Case studies on DSS applications.

Executive information needs- characteristics and capabilities of EIS- EIS model- EIS implementation Decision.

Books:

1. Turban E. "Decision Support and Expert Systems- Managerial Perspective", 1988, Macmillan

2. Peter & Keen, G.W., "Decision System- An organizational perspective", Addison Wesley.