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Towards decision-support for reconfigurable manufacturing systems based on Computational Design Synthesis

The efficiency of production systems has great impact on the profitability in the automotive industry. Recent trends such as increasing part variety and lower part volumes challenge traditional manufacturing concepts and promote the adoption of more flexible approaches. Reconfigurable manufacturing systems have key characteristics that make them a potential solution for the prevalent issues. Decision makers can change the configuration of the manufacturing system to respond to changing requirements, however they have a lot of possibilities to configure the system.

Festo Supply Chain Case – Stresstest electrical axes production

To achieve highest delivery reliability despite the increasing number of product variants and customer solutions a stress test simulation of the supply chain network of Festo Ag & Co. KG will be executed. The objective is to perform a dynamic bottleneck analysis of the production and the logistic network for exclusive future scenarios. Based on the obtained results, measures will be defined to increase the performance of the supply chain followed by a dynamic evaluation of cost-effectiveness for these measures.

(Re-)configuration strategies in the production and logistic network of Festo Ag & Co. KG

Both, internal and external drivers of change challenge the supply chain of Festo AG & Co. KG. Due to the uncertainty and dynamic of these drivers the continuous adaption of the production and logistic network with flexible reactions is of increasing importance to ensure a stable and rapid market supply. In cooperation with the academic partners, on a tactical decision level an optimal (re-)configuration strategy of the production and logistic network of Festo AG & Co. KG will be identified.

The flexibility of the RPN approach to model failure and organize maintenance

At the very heart of the RobustPlaNet application domain where Marposs is putting a great effort, there is the well-known issue of trading off hidden and explicit costs of quality production. As clearly depicted in the time diagram of functional level by S. Takata and als. [1], several factors influence the availability of any goods and specifically of production means over their useful life.

Increasing the performance level of a highly automated assembly system

In an increasingly dynamic and competitive environment with growing complexity, efficient processes are existentially for manufacturing companies. This implies the obligation to continuous cost reduction and the drive towards ever more high performance production systems, which are also robust against disturbances.

A design engineering model for supply chain configurations

Master student Lu Wang , from the University of Twente, has finished her research project focusing on investigating key-performance indicators for supply chain management and their respective analysis tools. The results of this research froms the starting bases for the development of a decision making tool for supporting supply chain confirmations. The importance of this lies on the fact that a growing emphasis on globalization and specialization has highlighted the need of effective and efficient supply chain network configurations for companies to win the competitive edge.

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