It’s essential to build a solid foundation of highly accurate numbers before demand management, master scheduling, and the other planning and scheduling tools within ERP can be implemented successfully. Accurate numbers before, not during or after.
Large quantities of data are necessary to operate ERP. Some of it needs to be highly accurate; some less so. Data for ERP can be divided into two general categories: forgiving and unforgiving. Forgiving data can be less precise; it doesn’t need to be “accurate to four decimal places.” Forgiving data includes lead times, order quantities, safety stocks, standards, demonstrated capacities, and forecasts. Unforgiving data is just that—unforgiving. It has little margin for error.If it’s not highly accurate, it can harm ERP quickly, perhaps fatally,and without mercy.
It’s essential to build a solid foundation of highly accurate numbers before demand management, master scheduling, and the other planning and scheduling tools within ERP can be implemented successfully. Accurate numbers before, not during or after.Large quantities of data are necessary to operate ERP. Some of it needs to be highly accurate; some less so. Data for ERP can be divided into two general categories: forgiving and unforgiving. Forgiving data can be less precise; it doesn’t need to be “accurate to four decimal places.” Forgiving data includes lead times, order quantities, safety stocks, standards, demonstrated capacities, and forecasts. Unforgiving data is just that—unforgiving. It has little margin for error.If it’s not highly accurate, it can harm ERP quickly, perhaps fatally,and without mercy.
การแปล กรุณารอสักครู่..
