Manager's Guide to Forecasting


Book Description




The Handbook of Forecasting


Book Description

Role and application of forecasting in organizations; Introduction to management forecasting; Sales forecasting requirements; Forecasting requirements for operations planning and control; Capacity planning forecasting requirements; Financial forecasting; Forecasting and strategic planning; Forecasting in the electric utility industry; State and local government revenue forecasting; Population forecasting; Forecasting: the issues; Approaches to forecasting; Smoothing methods for short-term planning and control; A practical overview of arima models for time series forecasting; Decomposition methods for medium term planning annnd budgeting; Econometric methods for managerial applications; Judgemtal and bayesian forecasting; An integrated approach to medium andlong term forecasting: the marketing mix system; Forecasting challenges; Forecasting and the environment: the challenges of rapid change; Price forecasting using experience curves and the product life-cycle concept; Life cycle forecasting; Forecasting recessions; Forecasting macroeconomic variables: an eclectic approach; ; Managing the forecasting functions; Forecasting and planning: an evaluation; Integrating forecasting and decision making; The forecasting audit; The future of forecasting.










A Manager's Guide to Technology Forecasting and Strategy Analysis Methods


Book Description

Technology forecasting is one of the most formidable challenges facing many organizations. In A Manager's Guide..., Stephen Millet and Edward Honton provide a guide for corporate and technology managers, planners, and analysts looking for a foundation on which to base technological forecasts and decision making. The authors assess 20 forecasting methods, evaluate their advantages and disadvantages, and suggest applications and uses. This book provides a profile of the technology forecasting and strategy analysis methods available today to guide input to the corporate decision-making process. Trend Analyses: Trend Extrapolation, Time Series Estimation, Regression Analysis, Econometrics, Systems Dynamics, S-Curves, Historical Analogies, Input-Output Matrices, Patent Trend Analysis, Scientific Literature Analysis, New Trend Analyses Techniques. Expert Judgment: Interviews, Questionnaires, Group Dynamics Multi-Option Analyses: Scenarios, Simulations, Paths and Trees, Portfolio Analysis Conclusions: Forecasts, Recommendations for Managers










How to Forecast: A Guide for Business


Book Description

This title was first published in 2001. Forecasting is an essential discipline in the planning and running of a business: not only for the business plan and annual budget but for the appraisal of investment projects, the commissioning of research as well as the appraisal of the competition and the feasibility of making acquisitions. Managers are continually confronted with the need to take decisions, and being able to construct a route map of the future is a key way of determining a course of action. This book offers a practical guide to forecasting the environment in which a firm operates. The author goes through the key areas which can affect a business. He includes those which are out of the firm's control such as fiscal and monetary policy, population levels and the labour market; and those that are, such as costs, prices, profits and product development.




Demand Forecasting for Managers


Book Description

Most decisions and plans in a firm require a forecast. Not matching supply with demand can make or break any business, and that's why forecasting is so invaluable. Forecasting can appear as a frightening topic with many arcane equations to master. For this reason, the authors start out from the very basics and provide a non-technical overview of common forecasting techniques as well as organizational aspects of creating a robust forecasting process. The book also discusses how to measure forecast accuracy to hold people accountable and guide continuous improvement. This book does not require prior knowledge of higher mathematics, statistics, or operations research. It is designed to serve as a first introduction to the non-expert, such as a manager overseeing a forecasting group, or an MBA student who needs to be familiar with the broad outlines of forecasting without specializing in it.




Managing the Future


Book Description

A guide to forecasting and strategic planning for organizations