Forecasting BUS446: Production Control (CFM1316A) Monday‚ April 29‚ 2013 Forecasting In the business world today‚ companies use forecasting methods to implement processes and strategies in order to meet organizational goals. Forecasting will allow a company to plan for possible outcomes‚ making adjustments to inventory levels and staff. Through forecasting‚ companies will attempt to keep operating costs at a manageable level without sacrificing production and quality.
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Forecasting is the process of making statements about events whose actual outcomes (typically) have not yet been observed. A commonplace example might be estimation of some variable of interest at some specified future date. Prediction is a similar‚ but more general term. Both might refer to formal statistical methods employing time series‚ cross-sectional or longitudinal data‚ or alternatively to less formal judgemental methods. Usage can differ between areas of application: for example‚ in hydrology
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Demand Forecasting Importance Demand forecasts form the basis of all supply chain planning. Forecast of future demand are essential for making accurate supply chain decisions and ensuring the company’s success. Examples of such decisions include how much of the product to make‚ how much to inventory‚ how much to replenish and how much to order. Ease of Forecasting Beverages are a push product. Forecasting is not easy in the beverage industry as there are possible serious fluctuations in demand
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Forecasting Business forecasting is the process of studying historical performance for the purpose of using the information gained to project future business conditions so that decisions can be made today that will assist in the achievement of certain goals. Forecasting involves taking historical date and using it to project future data with a mathematical model. Forecasts are extensively used to support business decisions and direct the work of operations managers. In this paper I will introduce
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FORECASTING FORECASTING The Role of the Manager Planning Organizing Staffing Leading Controlling Future ? Data Information • Short-range • Medium-range • Long-range Features Common to All Forecasts Forecasting techniques generally assume that same underlying causal system that existed in the past will continue to exist in the future. Forecasts are rarely perfect. Forecasts for groups of items tend to be more accurate than forecasts for individual items. Forecast
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Forecasting Why forecast? Features Common to all Forecasts • Conditions in the past will continue in the future • Rarely perfect • Forecasts for groups tend to be more accurate than forecasts for individuals • Forecast accuracy declines as time horizon increases Elements of a Good Forecast • Timely • Accurate • Reliable (should work consistently) • Forecast expressed in meaningful units • Communicated in writing • Simple to understand and use Steps in Forecasting Process
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Unit-03-Technology Forecasting Structure: 3.1 Introduction Objectives 3.2 Concept of Technology Forecasting Characteristics of technology forecasting Technology forecast method Principles of technology forecasting 3.3 Technology Forecasting Process 3.4 Need and Role of Technology Forecasting 3.5 Forecasting Methods and Techniques 3.6 Planning and Forecasting 3.7 Summary 3.8 Glossary 3.9 Terminal Questions 3.10 Answers 3.11 Case Study 3.1 Introduction By now‚ we are familiar with
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Forecasting Methods What is forecasting ? Why is forecasting important ? How can we evaluate a future demand ? How do we make mistakes ? Prod 2100-2110 Forecasting Methods 0 Contents 1. FRAMEWORK OF PLANNING DECISIONS ............................................................................... 2 2. FORECASTING................................................................................................................................. 3 2.1 CHARACTERISTICS ..............
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DEMAND FORECASTING The Context of Demand Forecasting The Importance of Demand Forecasting Forecasting product demand is crucial to any supplier‚ manufacturer‚ or retailer. Forecasts of future demand will determine the quantities that should be purchased‚ produced‚ and shipped. Demand forecasts are necessary since the basic operations process‚ moving from the suppliers’ raw materials to finished goods in the customers’ hands‚ takes time. Most firms cannot simply wait for demand to emerge and then
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TABLE OF CONTENTS I. Forecasting. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 A. Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 B. Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 C. Importance of Forecasting. . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1. Product Life Cycle . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
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