2. A.Quantitative Modelling & Simulation: Objectives: To: - Create awareness on modelling techniques; it’s benefits and the way to use them - Provide training and consultancy on OR, statistical and other quantitative techniques

3. - Make available the state-of-the-art modelling infrastructure facilities for use by the planner(s) and administrator(s) at the centre, state and district level - Development of indigenous software packages, and application development using sectorial integrated databases

4. Domain Area of Application: Core Management Techniques: - PRE-PROCESSING OF LARGE STATISTICAL INFORMATION - STATISTICAL ANALYSES AND MODELLING - OPTIMIZATION TECHNIQUES - PROJECT MANAGEMENT - SYSTEM DYNAMICS - FORECASTING TECHNIQUES: TIME SERIES MODELS ECONOMETRIC MODELS NEURAL NETWORK BASED MODELS DATA WAREHOUSING, OLAP AND DATA MINING(INCLUDING TEXT)

5. Generalized Applications: Forecasting and Monitoring Based on ARIMA/Box-Jenkins Methodology Generalized Decision Support System for Transportation and Distribution Planning System using Multi-objective Criterion A Decision Support System(DSS) for Multi-Criteria Transportation and Distribution Problems

6. Forecast consultant for Final Forecasting Technique Selection Optimization algorithms(Linear and Goal Programming) using product form of inverse approach Optimal distribution of funds for different sectors of Indian economy using multi- objective goal programming approach Generalized ARIMA algorithm developed based on Box and Jenkins

7. Web based Agriculture/Food price monitoring system for District level markets Generalized Multi criterion Transportation & Distribution system based on GP for movement of all products(Fertilizer, Food grains, Coal Steel, etc.)

8. B. DATAWAREHOUSING, OLAP AND DATA MINING Data Warehouse/OLAP/Data Mining System for central sector projects - Projects Costing Rs.20 crores and above User: Ministry of Statistics & Programme Implementation