Companies that manufacture individualized products for their customers are often only able to plan their production to a limited extent because they usually lack precise information about the expected processing time. However, toolmakers in particular depend on such information in order to plan their production reliably and to be able to promise customers reliable delivery times. For this reason, we are developing a software tool in the research project together with our four industrial partners, which should enable robust production planning for individual manufacturers.
The aim of "PARSyP" is to enable robust production planning in make-to-order production by using existing production data. With this data, make-to-order manufacturers can plan more reliably, optimize operating processes and thus better meet deadlines.
Thanks to a new algorithm, the software is able to include uncertainties and probabilities in order to predict processing times as accurately as possible on the basis of the available production data. On this basis, companies receive recommendations for detailed order planning to achieve stable processes in make-to-order production. Machine utilization, throughput times and delivery times can thus be planned more reliably than is currently possible in make-to-order production.
The software, which will be available on the market from 2020, will be developed using the example of tool production for injection molding and forming. The tool can then also be modified for other applications from detailed order planning in make-to-order production. To use the software, make-to-order manufacturers need only their production data such as production times, a server and the corresponding interfaces in addition to the software.
Interested companies who would like to participate in the development of the software can join the project as associated partners, i.e. discuss our results with us and provide the consortium with advice.