mixed integer program , neural network , production control
Abstract:
Just in sequence (JIS) production of automotive manufacturers and numerous of their suppliers shift the focus to production sections that do not preserve the order sequence during the production process. The increasing variety enhances the importance of such sections. Resorting is necessary, which is cost, time and space consuming. The aim to satisfy the customers’ demand, meet goals for productivity growth and be competitive through increase in efficiency motivates the controlling of such production sections.
This work focuses on use cases with a non-deterministic perturbation of the order sequence. The mathematical models are built and tested with the data provided by the paint shop of an automobile manufacturer. A mixed integer program and a neural network approach are presented.
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