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Titlebook: Dynamics in Logistics; Proceedings of the 4 Herbert Kotzab,Jürgen Pannek,Klaus-Dieter Thoben Conference proceedings 2016 Springer Internati

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Improving Wind Turbine Maintenance Activities by Learning from Various Information Flows Available Tow to integrate information feedbacks from the operation phase of an offshore wind turbine to the maintenance stage. A comparison will be done afterwards between the proposed method and existing data-driven maintenance approaches in wind turbine and other industries such as aviation and shipping.
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Optimization of a Factory Line Using Multi-Objective Evolutionary Algorithmsre compared to the industry standard transfer line in terms of objectives that include capital cost, energy usage, and product throughput. We seek to determine from the results whether genetic algorithms are a feasible tool for the optimization of manufacturing automobiles.
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A Mathematical Dynamic Fuzzy Logic to Estimate the Average Throughput Time for a New Automated Full-mizes OP time and other non-value adding tasks and maximizes performance. This new system will improve productivity, accuracy, and speed of order delivery in comparison with conventional automated full-case picking systems.
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Heterogeneity of Velocity in Vehicle Routing—Insights from Initial Experimentsing time synchronization, e.g., a scenario in which two vehicles have to be assigned to a customer location and both selected vehicles must start their unloading operations at the same time. Within computational simulation experiments, we demonstrate that the fuel consumption as well as the makespan benefit from the deployment of a mixed fleet.
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