Abstract: According to an exemplary embodiment, a computer-implemented method for attempting to optimize a supply chain network (SCN) includes forecasting demand in the SCN based on a set of demand data. One or more time-dependent reorder points (ROPs) deemed to optimize the SCN are generated by a computer processor, based on the demand forecast, where each time-dependent ROP represents an ROP that changes over time. A simulation of operations of the SCN is performed, using the time-dependent ROPs.

Abstract: According to an exemplary embodiment, a computer-implemented method for attempting to optimize a supply chain network (SCN) includes forecasting demand in the SCN based on a set of demand data. One or more time-dependent reorder points (ROPs) deemed to optimize the SCN are generated by a computer processor, based on the demand forecast, where each time-dependent ROP represents an ROP that changes over time. A simulation of operations of the SCN is performed, using the time-dependent ROPs.

Abstract: The present invention relates to a method, computer system and computer program for stock keeping. An embodiment of the invention determines forecast values of quantities to be consumed of a stock keeping unit for at least two different forecast time spans depending on a historical consumption data. The invention further determines order values of order quantities for each forecast value depending on a respective forecast value, stock keeping costs and ordering costs. The invention further determines an associated order quantity time span for each order value. The invention further determines a respective pair of forecast value and order value with the least deviation between forecast time span and order quantity time span from forecast values, forecast values respective forecast time spans, the order values and the order values respectively associated with order quantity time spans. The invention further processes the determined pair of forecast value and determined order value.

Abstract: The present invention relates to a method, computer system and computer program for stock keeping. An embodiment of the invention determines forecast values of quantities to be consumed of a stock keeping unit for at least two different forecast time spans depending on a historical consumption data. The invention further determines order values of order quantities for each forecast value depending on a respective forecast value, stock keeping costs and ordering costs. The invention further determines an associated order quantity time span for each order value. The invention further determines a respective pair of forecast value and order value with the least deviation between forecast time span and order quantity time span from forecast values, forcast values respective forecast time spans, the order values and the order values respectively associated with order quantity time spans. The invention further processes the determined pair of forecast value and determined order value.