Suppose a critical component is only enough to fulfill two out of four confirmed orders. Which order will be fulfilled in full? Which customer will receive only a partial shipment? And what are the consequences where the material is missing?<\/p>
In this situation, there is no neutral decision. Prioritizing one delivery simply shifts the bottleneck to another area. Focusing solely on the earliest delivery date may cause one to overlook an impending production stoppage at the customer\u2019s site. On the other hand, attempting to supply everyone equally risks ending up with insufficient quantities to complete production.<\/p>
Material shortages are therefore more than just a procurement problem. As soon as the available quantity is insufficient to fulfill all customer orders, it becomes a challenging task for production planning.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
\u201eA missing part can cause more than just a delay.\u201c<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
Many components are used in multiple products and are required by different customers. If a part is missing, an order remains incomplete and cannot be manufactured. If, instead, another shipment is prioritized, this simultaneously changes the material requirements, capacity utilization, and the composition of the subsequent shifts.<\/p>
This is exactly where a chain reaction begins. In-house production continues in the short term, but postponed orders pile up. Later on, there is a shortage of the necessary parts for deliveries that have already been promised, additional shipments become necessary, or a production line at the customer\u2019s site comes under pressure.<\/p>
When orders are held up due to missing components, other orders often have to be prioritized. As a result, meeting deadlines and maintaining a feasible production sequence come into conflict with one another.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
Suppliers often have to make decisions before the final demand is determined. Raw materials are procured, capacity is reserved, and production is prepared, even while customer orders can still be changed. With each additional stage in the supply chain, it can become more difficult to assess the actual significance of an order for a specific vehicle program.<\/p>
Even on the downstream side, the supply chain often remains only partially transparent. Not every subcontractor and not every dependency is consistently known. As a result, reports of disruptions remain of limited value unless they are linked to specific parts and internal planning data.<\/p>
From an operational standpoint, this means that an order specifies the required quantity and the due date. It does not automatically indicate which customer would actually be affected by a reduction, what alternatives are available, or which other orders require the same component.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
In practice, bottlenecks are often addressed in meetings and spreadsheets. This can work when there are only a few customers and orders. However, with every additional component, product, production line, and delivery commitment, the number of dependencies grows.<\/p>
A change in one area then affects many other decisions: One customer gains material, while another loses it. An urgent delivery is prioritized, while later commitments are put at risk. Production capacity is fully utilized today, but tomorrow there will be a shortage of the necessary materials or components.<\/p>
The real problem, therefore, is not a lack of attention. It is the number of interconnected possibilities and consequences.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t