Plamtex Int. Ltd.
Improved planning of manufacturing processes for individualized tools
- Advanced Manufacturing
Instead of classic statistical methods, the key step of the solution was the use of Artificial Intelligence (AI) techniques in particular data mining methods, for building predictive models capable of estimating the duration of the operation.
The sources of information for building the predictive models are the features extracted from CAD drawings of the tools, information on actual operation durations available in the technological database, and the expert knowledge on planning the tool manufacturing. The resulting predictive models now assist the experts in the company by providing the estimated operation durations that the experts can further refine. That way, more realistic planning of tool manufacturing takes place, and more competitive offers are prepared for the customers.
Key success factors
Close collaboration and regular meetings of the SME's and TCs' project team members, availability of data and expert knowledge needed for the machine learning phase of the project, flexibility of the participating groups to successfully tackle the unforeseen challenges, and willingness of the involved ICT experts to learn the basics of the application domain and the experts from the company to understand the requirements of the applied methodology were the key success factors of the Project.