**5. Implementation, results and discussion**

The section explains the implementation of the CPOM system and shows the result of usages. The example of the P&D order is shown in the **Figure 28** for a month. The delivery date is on the 8, 10,11, 23, 26, and 28. The order # 3 is due on the 8 and parts are completely finished on the 7. It is shown by the green color.

This section explains only one point of the tracking production process system on cloud via WiFi ESP32 micro controller. All production information is tracked and delivered by QR code. The most benefits are to apply the system to the whole supply chain and discuss uncertain situation and collaborative solving problems. This section does not show other dash board for tracking and reporting production progress in every work stations. It is possible to do so via the same CPOM platform with extend the data.

#### **Figure 28.**

**Figure 25.**

**Figure 26.**

**Figure 27.**

**234**

*Cloud interface using ESP32 WiFi.*

*The conveyor system for delivery finished good.*

*Concepts, Applications and Emerging Opportunities in Industrial Engineering*

*The types of the sensor used in the factory.*

*The report delivery monitoring on cloud management system.*

### **6. Conclusion**

The paper presented automotive industrial supply chain performance evaluation under uncertain constraints on cloud computing system. The supply chain in rubber part industry is explained in details. The new concept of the CPOM system is developed and tested in the factory. It can enhance efficiency of production control and monitoring as well as decision making under the uncertain circumstance. The CPOM is explained from the design to implementation and the results of application.

*Concepts, Applications and Emerging Opportunities in Industrial Engineering*

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