K. Altendorfer, H. Jodlbauer - Simple cumulative model for Due Date Setting in Leobener Logistik Cases (Editors: C. Engelhardt-Nowitzky, O. Nowitzky, H. Zifkowits) - Georg Thieme Verlag KG Stuttgart, 2010, pp. 303-320
In make to order environments, due date setting (DDS) is a challenging problem
(capacity constraints, large product range). We propose a DDS model for a job
shop which considers the variation of processing times, the capacities already
assigned to customer orders, and a targeted service level. Within the model an
earliest possible due date is calculated based on stochastic processing times and
available capacities. The proposed method can be intuitively visualized. It uses
only information which is available in common IT-systems, is fast and does not
require time-consuming optimization runs.
The simple model for DDS which is applicable for practitioners is presented
as advancement of available scientific work. A numerical example for the
model is presented where the service level to reach is predefined and the differences
between stochastic and deterministic processing times are discussed.