Lean processes: the basis of successful transformation
They are the best tool on the path to excellence, achieving lasting progress and adapting business to customer requirements . The practical workshop will present in an interesting and interactive way the views and challenges that companies face in maintaining economic performance and growth .
Lean processes are the basis for successful digital transformation
Any organization that wants to be successful and leader in its industry in the long run must take care of the best possible use of resources and better cost management .
You will be introduced to how development takes place excellent processes in a lean organization , which are a prerequisite for digital transformation .
In the implementation of lean manufacturing / logistics and digital transformation employees are key to success. We will present examples of how to connect all stakeholders who successfully implement change. Lean processes are the basis for successful digitization.
Topics: innovations in the field lean organizations in connection with the digital transformation.
Personnel development for the successful introduction of lean processes as a prerequisite for digitalization of production.
Innovations in the field of lean logistics with digital solutions.
Importance of SFM (shop floor management) with support method Power BI analysts for effective decision making
Lean processes: the basis for successful digitization - suggestions for practice:
Knowing the state of use of management solutions can thus be an important starting point for preparation. Strategies of the organization for the introduction of digitalization or. automation of operation in accordance with industry principles 4.0.
- The optimization of operations and processes in production organizations is still not complete. It is also necessary to renovate the processes before digitization itself (eg before the preparation of the blueprint).
- The vast majority of Slovenian companies, in terms of readiness to introduce Industry 4.0, are in the early stages of development or. readiness to introduce industry 4.0.
- Typically, companies have otherwise automated processes, acquire or. collect large amounts of data from a variety of sources. However, these data are often unrelated or they are not specifically used to optimize the performance of the organization. An important feature of this phase is also that the use of data is not automated.