Autor: Joy Schumacher

Automation of Container Terminals

Automation of Container Terminals

Concept for the Design of a Pilot Installation and Emulation-Based Evaluation of Scalability
Sebastian Eberlein, Stephan Oelker, Joy Schumacher, Michael Freitag ORCID Icon
German sea and inland ports are of outstanding importance for Germany as a base for manufacturing and logistics. In the last decades, the port sector underwent several structural changes. Currently, the expected autonomation and digitalization of the entire supply chain create entirely new challenges for the port industry. In this context, the present article describes a planning approach for the development of an automated straddle carrier in northern German seaports. To evaluate both the reliability and the profitability of such an automated system, a planning approach, consisting of two fundamental steps, was chosen: (1) At first, in order to perform prototypical experiments, a pilot installation will be established in the area of the container terminal in Wilhelmshaven (CTW). (2) Based on this, the system’s suitability for the operative conditions in a mega container terminal is evaluated using a simulation and emulationbased planning approach.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 6 | Pages 25-29
Cost-Optimized Design of Production Systems by Taking into Account the Risks of New Production Technologies and Processes

Cost-Optimized Design of Production Systems by Taking into Account the Risks of New Production Technologies and Processes

Michael Lütjen ORCID Icon, Abderrahim Ait Alla ORCID Icon, Joy Schumacher, Daniel Rippel, Michael Freitag ORCID Icon
New production technologies have inherent technical risks, but also established production technologies can not always be transferred to new products or components without problems. Accordingly, these technical risks must be taken into account when planning production systems. This paper presents an approach for the optimized allocation of development resources with regard to the technical risks of production technologies and processes. First, the production scenario is modeled and simulated using GRAMOSA. Then the simulation results are used for the optimized assignment of the development budget by means of mathematical optimization.
Industrie 4.0 Management | Volume 34 | 2018 | Edition 2 | Pages 62-66