In production, planning plays a crucial role in ensuring that manufacturing processes run smoothly. But where is the greatest potential for improvement - in detailed scheduling or in rough-cut planning? This question shows the complexity of the planning process and the challenges that companies face.
As described here, the planning process begins with rough-cut planning, which carries out initial scheduling and ensures material availability as well as the feasibility of due dates. In contrast, detailed scheduling involves assigning specific production resources such as machines and personell and optimizing production sequences for efficient production.
This results in a complexity for the entire planning process that should not be underestimated. Accordingly, the causes of planning-related difficulties are often complex and not easy to localize. A key question is therefore: Is the greatest potential for improvement primarily in the rough-cut planning or in detailed scheduling? This is easiest to answer based on the KPIs with potential for improvement.
As a rule, reduced adherence to delivery dates is primarily caused by problems in rough-cut planning. If the production time of an order is underestimated during scheduling, the promised delivery date can often not be met. However, even this problem cannot always be solved by improved rough-cut planning alone.
Planning against unlimited capacities in rough-cut planning can be problematic here. Backlogs in production are often not taken into account, which can lead to systematically early delivery dates. Downtime-related bottlenecks in personnel or machinery are also not always adequately taken into account, which can lead to unrealistic delivery dates. This is where detailed scheduling can make a decisive contribution. By knowing the capacity utilization and current restrictions, these effects can be identified and taken into account.
However, if there is potential for improvement in the optimization of throughput and throughput time or in the reduction of throughput time, then the most promising starting points are clearly to be found in detailed scheduling. By taking into account all limited resources and the optimal utilization of these resources, significant improvements in throughput, throughput time and production costs can be achieved in detailed scheduling .
An APS such as PAILOT offers valuable support for production planners.