DigiLean Digitalization concept for learning and knowledge reuse

Purpose and goal

In the Digilean project we have taken on the challenge to map digitalization needs in a manufacturing process, to facilitate knowledge creation and continuous learning based on disturbances and deviations. The overall objective of the project has been to develop a digitization concept for integrated improvement and knowledge flow in cooperation with Toyota Material Handling, Dentsply and Yolean. We have chosen to focus on problems identified in production, with its root causes pointing towards design.

Results and expected effects

The theory summarizes the Digilean process as: 1st step, procedures to identify deviations, 2nd step, Implementing procedures for solving problems, and 3rd step, to introduce a system for preventing the problem from reoccurring (i.e. organizational learning). We have in the project developed an information and process model based on the approach, and tested the applicability at Toyota and Dentsply. The information model and process model has been partially introduced and validated digitally in Dentsply (Step 1, in the production flow, and Step 2 evaluated on one production line)

Approach and implementation

The project has been carried out using a methodology based on a combination of experiments and qualitative studies in order to identify problems and test potential solutions iteratively. At Dentsply we have used an existing system to log disturbances in production, delivered by Yolean, as the basis for experimentation. In the the Toyota case we carried out a qualitative study in the production, idintifying and describing all stages of the Digilean Process. Toyota was found to have a well-developed analog model, inherited from Japan, with great potential to be digitized.

External links

Gemensam projektblogg för nu avslutade Vis-IT och DigiLean samt pågående Propid.