Developing the partner's solution

Developing the partner's solution - ITACAe S.r.l.

Identifying a partner's known or hidden need (Kano's model):

  • solving an emergency due to an issue, a fault in the workflow of the organization;
  • increasing effectiveness, efficiency or adequacy of a functional or production process;
  • adding a product function to improve competitiveness;

Analysing costs & benefits.

Planning and managing the core activities:

  • Analysis of requirements
  • Design -> Architecture
  • Implementation -> Computer programming
  • Testing
  • Debugging
  • Deployment
  • Maintenance

An example: managing sheet metal parts FE models

An example: managing sheet metal parts FE models - ITACAe S.r.l.

The partner's need: minimizing the overall cost of the drawing operation and the downstream process and optimizing the finished product performance/weight ratio.

The solution: a software to manage die compensation, 1-step forming analysis, minimum blank and nesting calculation, the integration of product optimization, the sheet metal part model geometric analysis and update, the hemming simulation, the analysis of residual stresses and distances from nominal geometry.

The results:

  • accurate process definition;
  •  product structural optimization;
  •  tolerance definition;
  •  concurrent product & die CAD.

An example: managing data from manufacturing control

An example: managing data from manufacturing control - ITACAe S.r.l.

The partner's need: minimizing COPQ (Cost of Poor Quality) of a sheet metal forming process.

The solution: an application which reads the information on geometrical values of the forming part, processes such information and provides outputs for the line operator and for the analyst. To the line operator, it generates a graphical output with the state of the process and the correct information about the improvements to be implemented. To the analyst, it generates files accessible at all times containing detailed information (process charts and process capability) on the current process or on historical data.

The results:

  • reduction of scraps and reworks percentages;
  • higher knowledge and control of the process;
  • facilitate the identification of improvement actions.