Scheduling instability, service level and cost in a material requirements planning system

The primary objective of this work was to evaluate how four important system parameters (schedule frozen interval, schedule re-planning interval, safety stock and lot-sizing rules) affect material requirements planning system performance in terms of schedule instability, total cost and service level, considering different levels of two operating factors: the lead-times of items in the product structure, and the accuracy of the demand forecast. The research design employed a simulation model in Visual Basic run on a personal computer. This study concluded that all system parameters and operating factors significantly influence the three performance measures. Frozen interval, forecast accuracy, and lead-time have the most significant impact on system instability and total cost. Forecast accuracy, safety stock, and lead-time have the most impact on service level. Due to the interactions among system parameters and operating factors, there are no win–win principles to set parameters in order to achieve better system performance under all operating conditions. However, the results help determine appropriate system parameters under particular operating conditions. For example, when the forecast is more accurate, system instability is relatively insensitive to the size of re-planning interval, but frequent re-planning helps reduce total cost and improve service level.