Shock-robust Design of Plants and their Supply Cha.. (RobustPlaNet)
Shock-robust Design of Plants and their Supply Chain Networks
Date du début: 1 oct. 2013,
Date de fin: 30 sept. 2016
The RobustPlaNet project aims at developing an innovative technology-based business approach that will drastically change the current rigid supply chain mechanisms and the current product-based business models into collaborative and robust production networks able to timely deliver innovative product-services in very dynamic and unpredictable, global environments. This technology-based business approach will allow distributed supply networks to efficiently deliver innovative product-services to customers with extremely high service levels (at least 95%) in global markets characterized by demand and variant turbulence, thus particularly exposed to worldwide disruptive (mainly economic) events. The development of this new business approach is based on four major pillars, namely (i) innovative supply services, (ii) innovative product-services enabled by ICT, (iii) innovative methodologies for decision-making integrating the plant and the supply network level and (iv) innovative business and assessment models for value creation based on partnership.The innovative services will include mechanisms for supply network coordination by production-related information- and risk-sharing contracts and predictive maintenance and equipment reconfiguration services for reliable plants. These services are provided by the equipment suppliers to the OEMs and component suppliers, whereas remanufacturing services are provided by the OEM and component supplier in the aftermarket. With the aim of developing a universal approach that can be integrated into different application domains, the feasibility will be demonstrated at machining and assembly processes in both inter- and intra-enterprise environments. In RobustPlaNet the demonstrations will apply the Navigation & Simulation Cockpit, the tool supporting decision makers on different levels of the plants and networks to react quickly and effectively to disturbances and uncertainties and keep the robustness of the overall network.
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