Introduction
Many manufacturing lines are concealing an unknown source and trash, which has gone unnoticed for a long time. Major equipment failure, for example, is highly visible and often the focus of a company’s cost-cutting efforts(Colim et al., 2020). On the other hand, many of these losses are the result of late, incorrect, or otherwise unavailable data when required. When performance problems arise on a production line, it is often overlooked in the business sector because the data is of poor quality. These companies relocate to avoid competition, and the problems are either ignored or only partially handled.
When data is gathered manually, it is typical to record information incorrectly, incompletely, and delayed before reaching the intended recipient. Choices based on this knowledge may result in higher waste or losses if they are not appropriately selected and implemented. Management’s ability to acquire accurate, timely, and complete line performance data is critical in today’s fast-paced food processing industry, where every second counts(Zhai et al., 2021). It’s no surprise that smart system Technology is the industry’s top supplier of intelligent factory solutions, giving managers accurate, real-time performance and production line data whenever they need it. Because packing is the last step of the manufacturing process, data on the packing line’s performance is critical. To respond promptly to changes in demand or other developing situations, accurate and up-to-date line performance data are required(Zhai et al., 2021). Managers can alter output and respond to changes in demand at the last minute by designing flexible packaging lines and knowing how the lines work.
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