Titlebook: Robust Manufacturing Control; Proceedings of the C Katja Windt Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013 Bio-inspi

灰心喪氣

Switching Dispatching Rules with Gaussian Processes the Gaussian process models leads to better local decision at the machine level. Using a dynamic job shop scenario we demonstrate, that our approach is capable of significantly reducing the mean tardiness of jobs.

使迷惑

Stochastic Scheduling of Machining Centers Production, Estimating the Makespan Distributionkovian approach to estimate the distribution of the completion time of a general network of activities. Grounding on this estimation, an estimation of the objective function distribution can be easily calculated. To demonstrate its viability, the proposed approach is applied to a real industrial case in the machining tool sector.

Fester

倫理學(xué)

Robustness of Complex Adaptive Logistics Systems: Effects of Autonomously Controlled Heuristics in a could be shown that all selected heuristics could contribute to a positive development of the system’s robustness in case of machine failures. Thus, from a practical view potentials for the improvement of real-world scenarios might be assumed.

Constitution

Using a Clustering Approach with Evolutionary Optimized Attribute Weights to Form Product Families fts of the attributes which are used for clustering according to their impact on the grouping result. The paper refers to an industrial application and also shows how product families can be utilized for leveling.

miniature

Hiatus

incision

Order Related Acoustic Characterization of Production Datatruments with similar sound qualities. Trained human ear not only is capable to highly differentiate between pitches and colors of sound, but also to localize the position, where the sound is coming from. This chapter presents a parameter mapping sonification approach on production data, which is ba

猜忌

Potentials of Nonlinear Dynamics Methods to Predict Customer Demands in Production Networks complicate demand forecasting and reduce the average accuracy of forecasting data. Nevertheless, manufacturing companies have to predict customer demands precisely, in order to achieve a well-founded production planning and control. The paper at hand deals with methods to predict customer demands i

Jejune