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Interlinking of the machine park of a company into cooperating elements with local and central planning services for a collaborating production system

To develop production micro planning and micro controlling at machine level, the enabling of the production machines and cells as autonomous planning instances is required. This opens up far reaching potential. The intelligent production machine is in a position to evaluate it's own locally captured sensor and operational data and to recognise critical system states, like defects or neccessary maintenance tasks. Depending on the degree of planning priority and equipment, it is capable to solve a problem locally, for example by shifting the timing of orders, or replanning orders to other production machines. This replanning is not trivial, but can be achieved within an interlinked machine park by negotiation with appropriate planning priorities. Where whole orders, or for example finishing steps, are subcontracted across companies, finding globally optimised solutions has equal relevance for SMEs.

Here the utilisation of the internet of things (IoT) will allow quick establishment of value adding networks and fast data exchange across company boundaries. Prerequisite are open source interfaces and standards, as currently defined and being defined within the machine to machine and IoT domains. IoT middleware systems enable the linking of production facilities at any location, any time needing minimal time and resources. This way a local intelligent machine can make its information available to the established collaborating production process across locations. The vision of InMachine is to interconnect the real and virtual world more closely at a technical level with such systems and to develop an integration concept into the existing systems and production landscape. The system will be validated and demonstrated in two typical medium sized production scenarios, continuous serial production and discrete workshop production.