Modelling uncertainty under a multi-echelon ERP-controlled manufacturing system

摘要

This paper discusses the experimental work in modelling uncertainty under a multi-echelon enterprise resource planning (ERP)-controlled manufacturing system. A new method known as part tagging (Ptag) is successfully implemented in a material requirements planning (MRP) planning architecture, which is used to generate a planned order release (POR) schedule for controlling purchase and manufacture operations in a batch manufacturing system using simulation. One of the most important findings is that parts tardy delivery (PTD) is a more responsive performance measure compared with finished products tardy delivery (FPTD); therefore it is recommended that PTD should be measured to reveal the unmasked effects of uncertainty. The main conclusion and implication from this experiment are that an ERP-controlled manufacturing enterprise should diagnose for uncertainty in a way that produces significant effects on delivery tardiness, so that reduction of their levels will significantly minimise tardy delivery.