Smart Manufacturing Planning Steps
Based on the Smart Manufacturing
diagnosis plan designed by Metal Pass, according to
the current situation of the enterprise; If necessary, field
investigation can be carried out. The cost of early diagnosis
and consultation is only one tenth, of which the cost of some
early field research is only one tenth.
1. The factory asked for the current situation investigation
www.Meta4-0.com and download Factory
in and send to email BLi68@qq.com.
2. Obtain investigation form. The factory obtains the
current situation investigation template by Email.
3. The factory should arrange
employees to carry out thorough investigations, to fill in
the Excel documents with detailed information, and send it
back to Metal Pass by Email.
4. Preliminary design and verification. According to the current
situation of the enterprise and other information, Metal Pass experts
perform the Diagnosis based on the information submitted from
4. Formal scheme. Based on in-depth communication and on-site
investigation when necessary, Metal Pass completes Diagnosis,
and, also following customer requirements, provides a complete
technical upgrading scheme of professional system.
Dr. Li has received a doctor of engineering
from Germany and a doctor of software from the United States.
He has worked on the factory site for 30 years and has
completed more than 200 Smart Manufacturing related
projects in Europe, America and other countries. Dr. Li can
refer to the previously completed
Smart Manufacturing projects to provide planning
schemes. See the documentation
The team plans in strict accordance with Smart Manufacturing in the initial design;
If the enterprise does not meet the conditions of Smart Manufacturing, but only meets the conditions of digital
manufacturing or basic automation, we will deal with it
differently in the scheme to avoid the survival risk to the
See the guidelines for Smart Manufacturing direction guidance and maturity diagnosis：www.Meta4-0.com/consulting//MaturityDiagnosis.html.
Biz discuss, Planning, Maturity,
Early Warning, Models, Manufacturing, Li-Battery, Steel
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