Abstract
Customer satisfaction is the most important target of manufacturing companies to stay competitive. To reach a high level of customer satisfaction on the one hand the product quality has to fulfil the customer requirements. On the other hand the soft facts like the logistical figures regarding service level and supply availability become more and more important. The ability to know if a due date can be met (with a high probability) or how much additional capacity is needed to ensure a requested due date (with a high probability) does ensure a high supply availability. If additional capacity is not available the ability to know what the earliest possible due date which can be met is (with a high probability) does ensure a high service level if postponing due dates by negotiation is possible. This task is often described in literature as a complex and difficult one.
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Altendorfer, K., Jodlbauer, H. (2010). Simple Cumulative Model for Due Date Setting. In: Engelhardt-Nowitzki, C., Nowitzki, O., Zsifkovits, H. (eds) Supply Chain Network Management. Gabler. https://doi.org/10.1007/978-3-8349-6000-9_18
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DOI: https://doi.org/10.1007/978-3-8349-6000-9_18
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