
Intermittent Demand Forecasting
An Exploratory Study
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The forecasting accuracy depends on characteristics exhibited by the product's demand history. This book deals with various forecasting methods to reduce the demand errors of intermittent demand items using quantitative methods. The errors have been compared for various methods using mean absolute scaled error. Further, the lean tools have been employed for reducing the rate of rejections thereby boosting the employee morale and customer satisfaction.