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Meta Smart Factory Case Studies
To learn more about advanced Meta Smart Factory solutions for challenging industrial manufacturing problems, visit our case studies page.

How Meta Smart Factory Works?
The Aim of META Smart Factory
The main goal of Meta Smart Factory (MSF) is ensuring effective manufacturing execution operations and improve production outputs with high tech hardware and software architecture based on IIoT, big data, machine learning, artificial intelligence.
MSF targets increasing productivity, increasing supply chain profitability, improving quality, lower costs, decreasing delivery times, improving employee satisfaction/morale, reducing employee turnover rate by implementing continuous improvement environment.
How To Take Opportunities In 90 Days within MSF Industry 4.0?
The MSF approach is mainly about solving production bottlenecks and getting the best result by using the best solution to ensure the best possible productivity in the production process.
MSF is open-minded to adapt to any workshop planning scenario and its innovative approach makes it very competitive in this area.
First of all, a customer is asked some questions to understand the production process issues and the factory’s intent. MSF works 2 to 4 weeks to make the best scenario for solving problems and to create a simulation demo to present to customer decision makers if the solution can solve production process problems. The scenario prepared is run as a demo and presented to the customer and after accepting the step forward, MSF starts to prepare design of integration.
Secondly, depending on the needs of the customer, MSF steps the implementation phase, which can take 1 month for integration and 2-6 months for MSF modules, depending on the Planning & Scheduling (2-3 months), Warehouse Management (2-3 months) options.
MSF then installs the hardware and software real implementation to start the Implementation Phase for the 90-day use MSF system daily. Before starting this period, all production KPI data is copied for comparation. During this period, MSF is in the contact with customer as much as possible for best integration and best resolution. If necessary, usage feedback or integration problems are resolved by the parties.
At the end of the 90-day implementation period, the customer can see what the difference is between the productivity starting point and the MSF solution. MSF does not need to invest extra in the factory environment, retrieves all the data with its hardware, is processed on the web cloud and displays it in real-time reports. Thus, decision makers can enlighten how to get real productivity figures that will be the best and affordable at a given time.