Intermittent Demand Forecasting

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.

Autorentext

Jitendra Nagar a été boursier (programme de maîtrise) au département d'ingénierie industrielle et de production du National Institute of Technology, Jalandhar (Punjab), en Inde. Ses recherches portent sur l'ingénierie de la production, le contrôle des stocks, la gestion des opérations, etc.