Siemens Aktiengesellschaft

Siemens Technology-to-Business Center, LLC

Mark Mathieu Theodorus Giebels

Daniel Conrad Benson

Manufacturing planning data for a production process that is managed by a manufacturing execution system is updated by way of a plurality of steps, which include: Gathering data from a PLC level relevant to the manufacturing planning data and the execution of the production process; mapping the gathered data with the current manufacturing planning data in order to determine suggested changes between the gathered data and the current manufacturing planning data; applying a predetermined update scenario for the manufacturing planning data depending on the suggested changes to update the manufacturing planning data; and adapting the current production process and optionally following production processes according to the updated manufacturing planning data. The reliability of the so-called standard data used in production planning processes is thus dramatically improved. Furthermore, since trends on possible deviations from the standard data can be recognized in real-time, it is now possible to dynamically update the standard data as soon as accompanying quality improvement programs reach those performance results which are significant for the current production plan based on the production planning data.

Method for updating manufacturing planning data for a production process

A method of analyzing a manufacturing system. The manufacturing system includes a plurality of manufacturing resources. A set of orders is currently appointed for processing by the manufacturing system. Each order of the set of orders requires performance of at least one task. Each task is to be performed by at least a respective one of the manufacturing resources. The method includes determining stochastic parameters for each task of the plurality of tasks. The method also includes calculating a stochastic waiting time for at least one selected task of the plurality of tasks. The calculation is based at least in part on the stochastic parameters of the tasks.

Dynamic-state waiting time analysis method for complex discrete manufacturing

A method of analyzing a manufacturing system. The manufacturing system includes a plurality of manufacturing resources. A set of orders is currently appointed for processing by the manufacturing system. Each order of the set of orders requires performance of at least one task. Each task is to be performed by at least a respective one of the manufacturing resources. The method includes determining stochastic parameters for each task of the plurality of tasks. The method also includes calculating a loading profile for at least one of the manufacturing resources that is allocated to at least one of the plurality of tasks. The loading profile function is a function of time and represents a probability that the manufacturing resource is occupied at a given time. The calculation is based at least in part on the stochastic parameters of the tasks.

Method and apparatus for determining and representing continuous resource loading profiles and overload probability functions for complex discrete manufacturing

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Mark Mathieu Theodorus Giebels