A supervisor can monitor the work order queue, through Kanban dashboard. And as the outputs in the manufacturing process are extracted digitally, the data analysis can also be done through Enterprise Resource Planning (ERP) applications.Â
Furthermore, the technology allows automated information production to generate simple and complex statistical analysis, so as to provide in-depth understanding, business insights, so that the industry can analyze material chains, production processes, distribution and sales channels," continued Fajar.
Cinovasi has experiences in various industries for Information Technology (IT) solutions, Automation or Operational Technology (OT), and Internet of Things (IOT) implementation. In the manufacturing industry, Cinovasi has involved in projects that includes instrumentation design and implementation as well as Distributed Control System (DCS), vertical integration between machines and ERP system, and horizontal integration from the production process to the distribution process.Â
"Recently Cinovasi team has developed a Nova Mixed Reality (NA.MI) solution, a solution based on augmented reality technology, which is expected to increase the effectiveness of industrial personnel work, as the device can be used to present and visualize data," explained Fajar.Â
The first step towards digital transformation can be through any element. The beginning of the change can start from human, process, technological solution, data model or architecture, or the integration and interconnectivity framework.Â
One change will and needs to be followed by other changes, so that it becomes simultaneous big changes. And this will make the enterprise becoming smarter step by step," ended Fajar.
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