Forecasting - Operation Management
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This document defines forecasting and discusses different forecasting models and techniques. It provides the following information: - Forecasting involves predicting future events based on historical data and is used for business operations, economics, and social sciences. Forecasts can be short-term (less than 3 months), medium-term (3 years), or long-term (over 3 years). - Good forecasts are timely, reliable, accurate, meaningful, written, and easy to understand. Qualitative models use personal experience while quantitative models use available data. - Qualitative techniques include the Delphi technique, nominal group technique, and historical data analysis. Quantitative techniques include time series methods, causal methods, and regression analysis.
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- Efficiency & Utilization
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Here are some suggestions for how to address the issues described in each scenario:
Scenario 1:
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Scenario 2:
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Scenario 3:
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Forecasting - Operation Management
- 1. FORECASTING पूर्वानुमवन Bikram Adhikari MBA II Semester
- 2. DEFINITION • Science of predicting future event based on the historical data. • Forecasts are possible only when past data exist. • Used for business operations as well as by economist and social scientists. • Based on time horizon, forecasts are classified in three categories: • Short range forecast: less than 3 months. Used for job assignments and production levels. • Medium range forecast: time period up to 3 years. Used in sales, production planning and budgeting. • Long range forecast: more than 3 years. Used in planning for new products, research and development.
- 3. QUALITIES OF GOOD FORECASTING • Timely • Reliable • Accurate • Meaningful • Written • Easy to use and understand
- 4. FORECASTING MODELS OR TECHNIQUES Qualitative Models Quantitative Models Used where the forecasting time horizon is very large and precise numerical description of forecasting variables could be not formulated. Used when the data representing the forecast are available. Favors the personal and work experience. Avoids the personal judgements, instead use the data. Examples: production of novel etc. Examples: sales forecast for coming year etc.
- 5. TYPES Qualitative Models Quantitative Models • Delphi Technique • Nominal Group Technique • Historical Data Analysis 1. Time Series Methods • Naive Approach • Moving Average Method • Exponential Smoothing Method • Trend Projection 2. Causal Method • Regression Analysis • Economic Modeling
- 6. QUALITATIVE MODELS : DELPHI TECHNIQUE • Group Process • Panel of experts within or without the organization provides written comments on the points in questions. • Steps: • Choose variety of knowledgeable people of different areas. • Through a questionnaire, obtain forecast (opinions) from all participants. • Summarize the results and redistribute among the participants along with new questions. • Summarize again, refining forecasts and conditions, and again develop new questions. • Distribute the final results to all participants.
- 7. HISTORICAL DATA ANALYSIS • Based on historical data • Takes account pervious growth or decline rate for determining demand of new product.
- 8. SELECTION CRITERIA OF FORECASTING MODELS 1. Cost 2. Accuracy • High Cost of implementation and maintenance, provides more accurate forecasts, resulting lower operating cost.
- 9. THANK YOU !