*4.3.2 Conveyor design*

for creating aggregate planning, master production scheduling, and job release planning. The plans are delivered to shop floor supervisors including daily production plan, machine used plan, and due date delivery plan. Then, production is operated by serial processes. The compression mold or injection mold is the first operation. The 2rd station is de-flashing and finishing the parts. The last station is quality inspection, counting, recording and packing. Instead of doing so by manual, the research paper presents the novel method which employs the CPOM system to increase productivity of both machines and operators as well as the competitiveness. The system is divided into two main parts; the 1st CPOM system and sub CPOM system which is designed as the private cloud under the company security policy. The 1st CPOM is able to monitor and tracking the production process for supporting rapid decision making of the SCM management team. Besides, the critical control of the 1st tier is the raw material mixing company and mold design company which are supporting resource companies and sharing costs as well as

*Concepts, Applications and Emerging Opportunities in Industrial Engineering*

Sensor is a heart of the CPOM system. It works as the interface signal processing from objects to the system input. There are many types of the sensors; fiber optic sensor, photo electric sensor, proximity sensor, area sensor, pressure sensor, multifunctional sensor. Such sensors can be used together with precision measurement, PLC, vision system, laser marker, barcode reader, digital microscope and so on. The CPOM system selects fiber optic amplifier. It can easily set light using automatic mode. It is amplified the light around 250 times. The respond speed is 50 μs. The monitor output can be LED or graph. The output can be single, double or analog

quality standard control under specific customer requirement.

*4.3.1 Sensor design and QR code reader*

**Figure 22.**

**232**

*The CPOM system development.*

The conveyor is designed for delivering the part in the final operation. The conveyor includes sensors, QR code reader, and cloud interface using ESP32. Motor drive is designed for adjustable speed. The displacement between sensor and parts must be effective and eliminate any error.

**Figure 25** shows the types of the conveyor system which are used in the factory linked to the cloud management system. They are covered the whole features of the part constraints.

**Figure 26** shows the types of the sensor used in the factory. The first sensor type is tracked in the horizontal position while the parts are moved by the conveyor. The second type of the sensor is tracked on the vertical while the parts are delivered through the silo. This is designed and developed for the flat part shape. The third type of the sensor is portable movement which is fit with the large size of the parts. The fourth sensor is called axillary types which is designed to combined with the push button switch and light linked the cloud management system. This type is suitable for the ununiform shape of the parts.

**Figure 23.** *Fiber optic sensor and characteristic.*

**Figure 24.** *QR code generator and reader.*

*4.3.3 Cloud interface design*

*DOI: http://dx.doi.org/10.5772/intechopen.93679*

**5. Implementation, results and discussion**

*The report delivery monitoring on cloud management system.*

to a smart phone.

with extend the data.

**6. Conclusion**

**Figure 28.**

application.

**235**

Cloud interface design is used for data tracking and CPOM communication by

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

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

real-time via WiFi and Bluetooth. It has 18 channels, 3 SPI interface, 3 UART interfaces, 2 12C interfaces, 16 PWM output channels, 2 digitals to analog converter (DAC), 2 12S interfaces, and 10 capacitive sensing GPIOs. **Figure 27** shows the cloud interface using ESP 32 Wifi, Node-Red and blynk application which is linked

*Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints…*

**Figure 25.** *The conveyor system for delivery finished good.*

**Figure 26.** *The types of the sensor used in the factory.*

**Figure 27.** *Cloud interface using ESP32 WiFi.*

*Automotive Industrial Supply Chain Performance Evaluation under Uncertain Constraints… DOI: http://dx.doi.org/10.5772/intechopen.93679*

#### *4.3.3 Cloud interface design*

Cloud interface design is used for data tracking and CPOM communication by real-time via WiFi and Bluetooth. It has 18 channels, 3 SPI interface, 3 UART interfaces, 2 12C interfaces, 16 PWM output channels, 2 digitals to analog converter (DAC), 2 12S interfaces, and 10 capacitive sensing GPIOs. **Figure 27** shows the cloud interface using ESP 32 Wifi, Node-Red and blynk application which is linked to a smart phone.
