Application of 4.0 technology in the JIT production system (Part 2)

For investment companies that are adopting a pull production process (JIT), resource allocation must be carefully prepared based on work flow, order of execution, as well as customer requirements.

The autonomous robot system (AMR) is also a resource worth considering, as it is replacing workers’ role in the manufacturing process. In order to foresee the essentials while not preparing excess input materials at each stage, manufacturers need to model what might happen when their lines start operating.

Through the Fleetware simulation application, the production environment is captured and analyzed, providing many useful advice to managers. This preparation step significantly reduces feature testing time, AMR setup time and lowers investment costs.

Fleetware continuously collects data from the robot team. The software monitors the team status in real time with robot, product ID or station/stop. This allows to monitor wait times and charge times and classify downtime, giving an overview of team usage and performance in relation to failure and cause statistics.

Besides autonomous robot applications, JIT is also supported by platforms that collect and process data in real time, typically the Internet of Things and Big Data. Thanks to the data transmitted to your sensors, you can track inventory levels at any stage, while at the same time keep track of your product consumption, project needs and continuous supply. when needed.

According to Just-In-Time (JIT) principle, data collection, processing and reciprocal decision-making should be done as soon as possible. Real-time continuous collection of data will be stored in the Big Data warehouse. This application creates a system for classifying and sharing information within the intranet. At the same time, data will be analyzed, raw processed and transferred to authoritative positions to assist in decision making. A series of customer-centric factors such as customer desires, analyzing customer needs according to market trends, etc, will be integrated into a logical and intuitive system when delivered to the religion board.

The capture and processing of data gives producers valuable insight into how ingredients perform in the sector, how assets work, how conditions and production environments are improved. production, the life cycle stages of manufactured parts and components. This data can be packaged and made available to the customer. It could become a value-added service or a new source of revenue.

Productivity and Quality Office