Forecast analysis and aggregate planning are addressed in this book from a practical approach. Under the premise that the objective of a forecast is to reduce uncertainty about the future of an organization by anticipating events whose probability of occurrence is relatively high in addition to serving as support for decision making.In this work we describe solved examples for the calculation of different indicators that impact the company's operations. Using Moving Average Exponential Smoothing among other methods for decision making quantitative exercises are presented in addition to formulating inventory problems under practical cases.
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