Use Case 3 in Industrial Internet of Things (IIoT)
USE CASE
Dry Food Production Monitoring.
TARGET USER
Dry food manufacturer.
OVERVIEW
The dry food manufacturer is looking to enhance their production monitoring by automating various steps involved in the production process. The current production process involves several steps that are time-consuming to monitor manually, including calculating the total input of dry food packets, the rejected amount, the total amount of boxes produced, and the total output in pallets. Implementing an IIoT system to automate production monitoring can help improve efficiency, reduce manpower requirements, and obtain accurate OEE results.
Challenge 1
Manual monitoring and calculation.
The production process requires workers to manually monitor and calculate the final output, which can be burdensome and prone to errors.
Challenge 2
Machine performance and reject rate.
The machine’s performance is vital for achieving an ideal production rate, but it is affected by human errors and a high reject rate.
Challenge 3
Machine availability and quality.
The availability of the machine and quality are crucial for accurate and efficient production, but they can be affected by factors such as usage and maintenance needs.
Solution 1
IIoT system to reduce manpower and obtain OEE results.
Implementing an IIoT system can help to reduce the manpower required for manual monitoring and calculation, while also providing OEE results for better efficiency evaluation
Solution 2
Monitoring machine performance and reject rate to ensure maximum efficiency.
The IIoT system can monitor the machine’s performance and reject rate to detect any potential issues and ensure maximum efficiency.
Solution 3
Detecting machine performance to determine maintenance needs and ensure quality output.
The IIoT system can detect the machine’s performance to determine when maintenance is required and ensure that the production input aligns with the output to guarantee quality results.
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