System and method for managing products

Abstract

The present invention provides a system and method for managing products. The method includes: when the quality specification control component receives an exception notification, the quality specification control component executes an exception handling process; and when the data of the product is out of the control range, the quality specification control component transmits notification information to the device through an industrial Internet of Things interface. The system and method for managing products of the present invention can greatly improve the efficiency of managing products.

Description

Technical Field

[0001] The present invention relates to a software system technology, and in particular to a system and method for managing products. Background Art

[0002] When quality inspectors of a product find that the quality of the product is abnormal, the quality inspectors need to issue a paper-based exception form to notify the production personnel to stop the machine. Therefore, the abnormal information cannot be immediately fed back to the workshop equipment, resulting in the workshop may use problematic production equipment or inspection equipment to produce / measure products, and thus defective products are generated. On the other hand, when the equipment has an abnormality, it also needs to be reported by personnel, which easily leads to the risk of producing defective products. Summary of the Invention

[0003] The present invention is directed to a system and method for managing products, which can greatly improve the efficiency of managing products.

[0004] According to an embodiment of the present invention, the system for managing products of the present invention includes a storage device, an industrial Internet of Things interface, and a processor. The storage device stores a quality inspection module, wherein the quality inspection module includes a quality specification control component. The industrial Internet of Things interface is coupled to a device, wherein the device manufactures products. The processor is coupled to the storage device and the industrial Internet of Things interface, wherein when the quality specification control component receives an exception notification, the quality specification control component executes an exception handling process; when the data of the product is out of the control range, the quality specification control component transmits a notification message to the device through the industrial Internet of Things interface.

[0005] According to an embodiment of the present invention, the method for managing products of the present invention is applicable to a system including a storage device, an industrial Internet of Things interface, and a processor, wherein the storage device stores a quality inspection module, and the quality inspection module includes a quality specification control component, wherein the industrial Internet of Things interface is coupled to a device, and the device manufactures products, and the method includes: when the quality specification control component receives an exception notification, the quality specification control component executes an exception handling process; and when the data of the product is out of the control range, the quality specification control component transmits a notification message to the device through the industrial Internet of Things interface.

[0006] Based on the above, the system and method for managing products according to the present invention can manage products based on hard real-time processes and soft real-time processes. The hard real-time process can require the device to fail / disable within a preset time (e.g., 60 seconds), or display a device exception reminder message within a preset time to remind the quality inspection personnel / managers, so as to reduce the exception feedback time. Further, after the exception handling is completed, the inspection frequency can be increased. On the other hand, the soft real-time process can calculate the control range of the product based on the statistical process control method. When the data is not within the control range, the device and the quality inspection personnel / managers can be notified within a preset time (e.g., 60 seconds). Based on this, the efficiency of managing products can be greatly improved.

[0007] In order to make the above features and advantages of the present invention more obvious and understandable, specific embodiments are hereinafter given and described in detail in conjunction with the accompanying drawings as follows. Description of the Drawings

[0008] Figure 1 is a schematic diagram of a system for managing products according to an embodiment of the present invention;

[0009] Figure 2 is a flowchart of a method for managing products according to an embodiment of the present invention;

[0010] Figure 3 is Figure 1 a timing diagram of the system shown triggering the hard real-time process;

[0011] Figure 4 is Figure 1 a timing diagram of the device shown triggering the hard real-time process;

[0012] Figure 5 is Figure 1 a timing diagram of the statistical process control module shown triggering the soft real-time process.

[0013] Description of the Reference Numerals

[0014] 100: System for managing products;

[0015] 110: Storage device;

[0016] 111: Quality inspection module;

[0017] 112: Quality specification control component;

[0018] 113: Scheduling module;

[0019] 114: Statistical process control module;

[0020] 115: Exception handling module;

[0021] 120: Industrial Internet of Things interface;

[0022] 130: Processor;

[0023] 140: Input / output device;

[0024] 150: Integration interface;

[0025] 200: Device;

[0026] 300: Mail server;

[0027] 400: Enterprise resource planning system;

[0028] 500: Factory production tracking system;

[0029] S210 - S220, S301 - S307, S401 - S407, S501 - S505: Steps. Detailed implementation manners

[0030] Reference will now be made in detail to exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same component symbols are used in the drawings and the description to represent the same or similar parts.

[0031] Figure 1 is a schematic diagram of a system 100 for managing products according to an embodiment of the present invention. Referring to Figure 1 , the system 100 includes a storage device 110, an Industrial Internet of Things (IIoT) interface 120, and a processor 130. The processor 130 can be coupled to the storage device 110 and the Industrial Internet of Things interface 120. The Industrial Internet of Things interface 120 can be coupled to the device 200. In this embodiment, the device 200 can manufacture products. In other embodiments, the system 100 may further include an input / output device 140 coupled to the processor 130, and may include an integration interface 150 coupled to the processor 130. The integration interface 150 can be coupled to an Enterprise Resource Planning (ERP) system 400 and a Factory Production Tracking (MES) system 500 to integrate the Enterprise Resource Planning system 400 and the Factory Production Tracking system 500. In other embodiments, the system 100 can be communicatively connected to a mail server 300.

[0032] In this embodiment, the storage device 110 may store a quality inspection module 111. The quality inspection module 111 may include a Quality Spec Control (QSC) component 112. In other embodiments, the storage device 110 may also store a scheduling module 113, a Statistical Process Control (SPC) module 114, and an exception handling module 115.

[0033] In this embodiment, the storage device 110 may include a Memory and / or a database, where the Memory may be, for example, a Non-Volatile Memory (NVM). The processor 130 may include a Central Processing Unit (CPU), or other programmable general-purpose or special-purpose microprocessors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Programmable Logic Devices (PLDs), other similar processing circuits, or a combination of these devices. The storage device 110 may store relevant programs, modules, components, systems, or algorithms for implementing the embodiments of the present invention for the processor 130 to access and execute to implement the relevant functions and operations described in the embodiments of the present invention.

[0034] Figure 2 is a flowchart of a method for managing products according to an embodiment of the present invention. Refer to Figure 1 and Figure 2 , Figure 1 The system 100 may execute steps S210 to S220 as follows. In step S210, when the Quality Spec Control component 112 receives an exception notification, the Quality Spec Control component 112 may execute an exception handling process. For example, the exception notification may be input / set by a quality inspector of the product. On the other hand, the Quality Spec Control component 112 may also receive an exception notification from the device 200.

[0035] In step S220, when the data of the product is out of the control range, the Quality Spec Control component 112 may transmit a notification message to the device 200 through the Industrial Internet of Things interface 120. Specifically, the Quality Spec Control component 112 may compare the data of the product with a pre-calculated control range to determine whether an abnormality has occurred in the product.

[0036] It should be noted here that step S210 is also referred to as the "hard real-time process" in subsequent embodiments of the present invention. On the other hand, step S220 is also referred to as the "soft real-time process" in subsequent embodiments of the present invention.

[0037] Figure 3 is Figure 1 The timing diagram of the system 100 triggering the hard real-time process as shown. Refer to Figure 1 and Figure 3 In step S301, the quality specification control component 112 can receive an exception notification through the input / output device 140. For example, when the quality inspector wants to start inspecting the products manufactured by the device 200, the quality inspector can create an inspection form through the input / output device 140. If the quality inspector finds that the products manufactured by the device 200 are abnormal, the quality inspector can input an exception notification through the input / output device 140. In other embodiments, after the quality inspector inspects / measures the products, the quality inspector can input the measurement data of this product. Then, the quality specification control component 112 can determine whether the measurement data is abnormal according to the monitoring specifications. If the quality specification control component 112 determines that the measurement data is abnormal, the system 100 can continue to execute step S302.

[0038] The above monitoring specifications are further described here. In one embodiment, the quality specification control component 112 can determine / calculate the monitoring specifications according to the monitoring specifications preset by the quality inspector, the monitoring data obtained from the statistical process control module 114 (such as a statistical process control chart), and the process capability analysis value obtained from the statistical process control module 114, and determine whether the measurement data of the product is abnormal according to the monitoring specifications. Further, the quality specification control component 112 can re-(or periodically) determine / calculate the monitoring specifications according to the updated monitoring specifications, the monitoring data, and the process capability analysis value input by the quality inspector.

[0039] In step S302, when the quality specification control component 112 receives an exception notification, the quality specification control component 112 can execute an exception handling process. Specifically, the exception handling module 115 can create an exception form to record the exception handling process. Then, the quality specification control component 112 can transmit a device disabling notification to the device 200 (through the industrial Internet of Things interface 120) to request the device 200 to fail / disable. Further, the quality specification control component 112 can transmit the device disabling notification to the device 200 within a preset time (such as 60 seconds) to notify the device 200 in real time. In addition, the quality specification control component 112 can notify the mail server 300 to transmit an exception notification email to the manager of the device 200 by the mail server 300. After the device 200 receives the device disabling notification, in step S303, the device 200 can stop operating.

[0040] In step S304, when the quality inspection module 111 receives a normal notification (of the product) through the input / output device 140, the exception handling module 115 can record / mark the exception form as "closed". Then, the quality inspection module 111 can transmit a device enabling notification to the device 200 via the quality specification control component 112. For example, if the quality inspector finds that the product manufactured by the device 200 is normal, the quality inspector can input a device normal notification through the input / output device 140. In other embodiments, after the quality inspector inspects / measures the product, the quality inspector can input the measurement data of this product. Here, it is assumed that the quality specification control component 112 determines that the measurement data is normal according to the monitoring specification. The quality specification control component 112 can transmit a device enabling notification to the device 200 (through the industrial Internet of Things interface 120). After the device 200 receives the device enabling notification, in step S305, the device 200 can operate.

[0041] After the quality specification control component 112 completes the exception handling process, in step S306, the scheduling module 113 can increase the inspection frequency of the product. Specifically, the quality specification control component 112 can feedback to the scheduling module 113 that the exception handling process has been completed. Then, the scheduling module 113 can increase the inspection frequency and actively trigger / issue an inspection form, and output the inspection form to the quality inspector through the input / output device 140.

[0042] In step S307, if the scheduling module 113 monitors that no exception occurs again within a specific time (for example, the quality inspector does not input a device exception notification through the input / output device 140 again), the scheduling module 113 can reduce the inspection frequency of the product.

[0043] Figure 4 Yes Figure 1 is the timing diagram of the device 200 triggering the hard real-time process. Refer to Figure 1 and Figure 4 。In step S401, when an exception occurs in the device 200, the device 200 can transmit an exception notification to the system 100. In step S402, the quality specification control component 112 can receive the (device) exception notification from the device 200 (through the industrial Internet of Things interface 120).

[0044] In step S403, when the quality specification control component 112 receives an exception notification, the quality specification control component 112 can execute an exception handling process. Specifically, the exception handling module 115 can create an exception form to record the exception handling process. Further, the quality specification control component 112 can display this device exception reminder information on the inspection form through the input / output device 140 within a preset time (e.g., 60 seconds) to remind the quality inspection personnel. In addition, the quality specification control component 112 can notify the mail server 300, so that the mail server 300 can send an exception notification email to the management personnel of the device 200.

[0045] After the device 200 is repaired and completed, in step S404, the device 200 can transmit a device normal notification to the quality specification control component 112 (through the industrial Internet of Things interface 120). In step S405, the quality specification control component 112 can display this device normal notification information on the inspection form via the input / output device 140, and the exception handling module 115 can record / mark the exception form as "closed".

[0046] After the quality specification control component 112 completes the exception handling process, in step S406, the scheduling module 113 can increase the inspection frequency of the product. Specifically, the quality specification control component 112 can feedback to the scheduling module 113. Then, the scheduling module 113 can increase the inspection frequency and actively trigger / create an inspection form, and output the inspection form to the quality inspection personnel through the input / output device 140.

[0047] In step S407, if the scheduling module 113 monitors that no exception occurs again within a specific time (e.g., the quality specification control component 112 does not receive a device exception notification from the device 200 again), then the scheduling module 113 can reduce the inspection frequency of the product.

[0048] It is worth mentioning that, as described in step S302 above Figure 3 and Figure 4 step S403 as described above, the present invention can immediately execute an exception handling process within a preset time (e.g., 60 seconds) after the quality specification control component 112 receives an exception notification. Based on this, the efficiency of managing products can be greatly improved.

[0049] Figure 5 Yes Figure 1 is the timing diagram of the statistical process control module 114 triggering the soft real-time process shown. Refer to Figure 1 and Figure 5。In step S501, the statistical process control module 114 can calculate the control range according to the control data and the definition of Six Sigma (6sigma). Specifically, the control data is, for example, multiple historical inspection data / historical measurement data of the product. The statistical process control module 114 can calculate the standard deviation of 1 to 3 times of these historical inspection data by using the normal distribution, and calculate the control range according to the statistical process control chart.

[0050] The quality specification control component 112 can receive the product data from the quality inspection personnel through the input / output device 140. In step S502, when the statistical process control module 114 determines that the product data is not within the control range, the quality specification control component 112 can display an out-of-control reminder notice through the input / output device 140. For example, the quality specification control component 112 can display this out-of-control reminder notice on the inspection form through the input / output device 140.

[0051] In step S503, after the quality specification control component 112 transmits the notification information (including the out-of-control reminder notice) to the device 200 through the industrial Internet of Things interface 120, the device 200 can display this out-of-control reminder notice. For example, the quality specification control component 112 can transmit the notification information to the device 200 within a preset time (such as 60 seconds).

[0052] In step S504, the scheduling module 113 can increase the monitoring frequency of the product to monitor the process capability within a specific time.

[0053] In step S505, if the scheduling module 113 monitors the specific time and the process capability is stable, the scheduling module 113 can reduce the monitoring frequency of the product.

[0054] It is worth mentioning that, as described in step S503 above, when the product data is not within the control range, the present invention can immediately execute the notification process within a preset time (such as 60 seconds). Based on this, the efficiency of managing the product can be greatly improved. Figure 5 As described in step S503 above, when the product data is not within the control range, the present invention can immediately execute the notification process within a preset time (such as 60 seconds). Based on this, the efficiency of managing the product can be greatly improved.

[0055] The operation mode of the scheduling module 113 will be further described herein. In one embodiment, the scheduling module 113 can set the handling events of the device 200 according to the feedback information of the quality specification control component 112, the historical data corresponding to the industrial Internet of Things interface 120, and the control data of the statistical process control module 114. Specifically, the scheduling module 113 can include an event controller. The event controller of the scheduling module 113 can find out the devices 200 where anomalies occur more frequently according to the feedback information of the quality specification control component 112, the historical data corresponding to the industrial Internet of Things interface 120, and the control data of the statistical process control module 114. The event controller of the scheduling module 113 can define and classify the controlled levels of different devices 200, and trigger control events according to the levels. The control events can include the frequency of triggering inspection sheets, the abnormal recurrence monitoring period of the device 200, sending a preventive maintenance notice to the device 200 where anomalies are likely to occur, and notifying the management personnel of the device 200.

[0056] Furthermore, the handling events can include, but are not limited to, defining according to the escalation of the situation and actively notifying the management personnel of the corresponding-level devices 200, actively increasing the order-throwing frequency of the tightened inspection sheets corresponding to the triggered levels, cyclically triggering the statistical process control module 114 to calculate the control range, triggering the appropriate statistical process control (SPC) method for tightened monitoring according to the characteristics of the monitoring items, and adjusting the abnormal monitoring period according to the abnormal levels. It should be noted that the triggering conditions of the handling events are, for example, device numbers, abnormal defect codes and occurrence times, time, inspection batch numbers, and abnormal levels. On the other hand, the statistical process control method is, for example, the Westinghouse method or a method defined by the management personnel.

[0057] In summary, the system and method for managing products according to the present invention can manage products based on hard real-time processes and soft real-time processes. The hard real-time process can require the device to fail / disable within a preset time (e.g., 60 seconds), or display device anomaly reminder information within a preset time to remind the quality inspection personnel / management personnel, so as to reduce the abnormal feedback time. Furthermore, the inspection frequency can be increased after the abnormal handling is completed. On the other hand, the soft real-time process can calculate the control range of the product based on the statistical process control method. When the data is out of the control range, the device and the quality inspection personnel / management personnel can be notified within a preset time (e.g., 60 seconds). Based on this, the efficiency of managing products can be greatly improved.

[0058] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A system for managing products, characterized in that, comprising: a storage device storing a quality inspection module and a statistical process control module, wherein the quality inspection module includes a quality specification control component; an industrial Internet of Things interface coupled to a device, wherein the device manufactures products; and a processor coupled to the storage device and the industrial Internet of Things interface, wherein when the quality specification control component receives an exception notification, the quality specification control component executes an exception handling process to transmit a device disabling notification to the device within a preset time; when the data of the product is out of the control range, the quality specification control component transmits a notification message to the device through the industrial Internet of Things interface within the preset time, wherein the statistical process control module calculates the control range according to the control data and the six sigma definition, and the control data includes the historical inspection data and historical measurement data of the product.

2. The system according to claim 1, characterized in that, further comprising an input / output device coupled to the processor, wherein the quality specification control component receives the exception notification through the input / output device.

3. The system according to claim 1, characterized in that, the quality specification control component receives the exception notification from the device through the industrial Internet of Things interface.

4. The system according to claim 1, characterized in that, the storage device further stores a scheduling module, wherein after the quality specification control component completes the exception handling process, the scheduling module increases the inspection frequency of the product.

5. The system according to claim 1, characterized in that, further comprising an input / output device coupled to the processor, wherein the quality specification control component receives the data through the input / output device; when the statistical process control module determines that the data is out of the control range, the quality specification control component displays an out-of-control reminder notification through the input / output device.

6. The system according to claim 5, characterized in that, the storage device further stores a scheduling module, wherein after the quality specification control component displays the out-of-control reminder notification through the input / output device, the scheduling module increases the monitoring frequency of the product.

7. The system according to claim 1, characterized in that, the storage device further stores a scheduling module, wherein the scheduling module sets a disposal event of the device according to the feedback information of the quality specification control component, the historical data corresponding to the industrial Internet of Things interface, and the control data of the statistical process control module.

8. A method for managing products, characterized in that, applicable to a system including a storage device, an industrial Internet of Things interface, and a processor, wherein the storage device stores a quality inspection module and a statistical process control module, and the quality inspection module includes a quality specification control component, wherein the industrial Internet of Things interface is coupled to a device, and the device manufactures products, and the method includes: When the quality specification control component receives an exception notification, the quality specification control component executes an exception handling process to transmit a device disabling notification to the device within a preset time; and When the data of the product is out of the control range, the quality specification control component transmits notification information to the device through the industrial Internet of Things interface within the preset time, wherein the method further includes: The statistical process control module calculates the control range according to the control data and the six sigma definition, and the control data includes the historical inspection data and historical measurement data of the product.

9. The method according to claim 8, wherein, The system further includes an input / output device coupled to the processor, and the method further includes: The quality specification control component receives the exception notification through the input / output device.

10. The method according to claim 8, wherein, wherein the method further includes: The quality specification control component receives the exception notification from the device through the industrial Internet of Things interface.

11. The method according to claim 8, wherein, The storage device further stores a scheduling module, and the method further includes: After the quality specification control component completes the exception handling process, the scheduling module increases the inspection frequency of the product.

12. The method according to claim 8, wherein, The system further includes an input / output device coupled to the processor, and the method further includes: The quality specification control component receives the data through the input / output device; When the statistical process control module determines that the data is out of the control range, the quality specification control component displays an out-of-control reminder notification through the input / output device.

13. The method according to claim 12, wherein, The storage device further stores a scheduling module, and the method further includes: After the quality specification control component displays the out-of-control reminder notification through the input / output device, the scheduling module increases the monitoring frequency of the product.

14. The method according to claim 8, wherein, The storage device further stores a scheduling module, and the method further includes: The scheduling module sets a disposal event of the device according to the feedback information of the quality specification control component, the historical data corresponding to the industrial Internet of Things interface, and the control data of the statistical process control module.

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