PCB production order management method and system and computer equipment

Abstract

The invention relates to the technical field of PCBs, in particular to a PCB production order management method. The production sequence is dynamically adjusted through the timeliness information and the product quantity information of each order, imbalance of production loads can be avoided, the daily output corresponding to the order is accurately calculated according to the timeliness information and the product quantity information of each order, the production sequence is flexibly adjusted based on the information, and the production efficiency is improved. The production sequence is regulated and controlled through the quality demand index, orders with high quality requirements are preferentially arranged for production, the quality control capability index of the production equipment is calculated according to the type information and the production precision information of each piece of equipment, the equipment most suitable for producing the specific order can be selected according to the quality control capability of each piece of equipment, and the production efficiency is improved. By integrating data of multiple dimensions such as production efficiency, quality requirements and equipment capability, a more refined decision-making process is realized, the production efficiency is improved, the product quality is ensured, and the flexibility and response capability of the whole production system are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of PCB, and in particular to a PCB production order management method, system and computer equipment. Background Art

[0002] PCB board, also known as printed circuit board, printed circuit board, or printed board for short, is made of insulating board as base material, cut into a certain size, with at least one conductive pattern attached to it, and arranged with holes (such as component holes, fastening holes, metallized holes, etc.), and realizes the interconnection between electronic components. Because this board is made by electronic printing, it is called a "printed" circuit board.

[0003] Production control has always been the core content of PCB production management optimization. With the development of society and changes in market demand, the control and management of PCB production orders has become the main production mode of most industries. In order to control the production process of PCB production orders, the PCB production order issuance and processing system can receive and process orders. However, the existing PCB production order control management mainly sorts production according to the order placement time, and there is a problem that some PCB production orders are sorted at the back and the order distribution is unreasonable. Summary of the invention

[0004] The main purpose of the present invention is to provide a PCB production order management method, aiming to solve the technical problems in the prior art.

[0005] The present invention proposes a PCB production order management method, comprising: Obtain order numbers of multiple pending PCB production orders, and obtain first production feature information of the pending PCB production orders according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information, and product quantity information; According to each of the timeliness information and product quantity information, the daily output of the pending PCB production order corresponding to the corresponding order number is obtained; according to each of the product quality information and configuration information, the quality requirement index of the pending PCB production order corresponding to the corresponding order number is obtained; Obtaining equipment numbers of multiple production equipment, and obtaining second production feature information of the production equipment according to each equipment number, wherein the second production feature information includes type information, production capacity information, equipment utilization rate, and production accuracy information; According to each of the production capacity information and the equipment utilization rate, the production operation efficiency of the production equipment corresponding to the corresponding equipment number is obtained; according to each of the type information and the production accuracy information, the quality control capability index of the production equipment corresponding to the corresponding equipment number is obtained; Obtaining a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes; Obtain a corresponding first matching degree according to each of the daily output and the production operation efficiency, and obtain a corresponding second matching degree according to each of the quality requirement index and the quality control capability; Each pending PCB production order is allocated and scheduled to production equipment according to the plurality of first matching degrees, the plurality of second matching degrees and the priority sorting table.

[0006] Preferably, the step of obtaining the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and obtaining the quality requirement index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information includes: Obtaining a delivery period according to the timeliness information, and obtaining a production cycle according to the delivery period; Acquire product category information of the first production characteristic information, and acquire the total production volume according to the product category information and product quantity information; Obtain daily production according to the total production volume and production cycle; Acquiring quality control indicators according to the product quality information, wherein the quality control indicators include tolerance range and accuracy requirements; The center deviation mean, upper specification limit and lower specification limit are obtained according to the tolerance range, and the production process capability index is calculated according to the center deviation mean, upper specification limit, lower specification limit and precision requirement, wherein the calculation formula is: ; Among them, S(GZ) represents the production process capability index, S(GX) represents the upper specification limit, Z(PJ) represents the mean of the central deviation, X(GX) represents the lower specification limit, and J(DY) represents the accuracy requirement; Acquire quality standards and process requirements according to the configuration information, and acquire a production efficiency index according to the quality standards and process requirements; A quality requirement index is obtained according to the production process capability index and the production efficiency index.

[0007] Preferably, the step of obtaining the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and obtaining the quality control capability index of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production accuracy information comprises: Obtaining rated output, production capacity and theoretical maximum output according to the production capacity information; Obtain comprehensive production capacity based on the rated output, production capacity and theoretical maximum output; According to the equipment utilization rate, the actual operation time, equipment availability time and maintenance failure time are obtained; Obtaining the effective operation rate of the equipment according to the actual operation time, the equipment available time and the maintenance failure time, and obtaining the production operation efficiency according to the effective operation rate and the comprehensive production capacity; Acquire a device stability index according to the type information, and acquire a production mean offset according to the device stability index; The equipment standard deviation is obtained according to the production accuracy information, and the quality control capability index is obtained according to the equipment standard deviation and the production mean offset.

[0008] Preferably, the step of obtaining a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes comprises: Obtaining the maximum daily output and the minimum daily output according to each of the daily outputs; Obtaining the corresponding standardized daily output according to each of the daily outputs, the maximum daily output and the minimum daily output; Obtaining a maximum quality requirement index and a minimum quality requirement index according to each of the quality requirement indexes; Obtaining a corresponding standardized quality requirement index according to each of the quality requirement indexes, the maximum quality requirement index and the minimum quality requirement index; Obtaining a first priority score corresponding to the order number according to each of the standardized quality requirement indexes and the standardized daily output; The order numbers corresponding to the plurality of first priority scores are sorted in order of size to obtain a priority sorting table.

[0009] Preferably, the step of obtaining the corresponding first matching degree according to each of the daily output and the production operation efficiency comprises: Obtain unit energy consumption according to the daily output, and obtain resource energy consumption according to the unit energy consumption; Obtaining device energy consumption according to the resource energy consumption, and obtaining an influencing factor of the device energy consumption; Obtaining a maximum output capacity according to the production operation efficiency, and obtaining an actual output amount according to the maximum output capacity and the production operation efficiency; Obtaining equipment load according to the actual output, and obtaining theoretical energy consumption according to the equipment load and resource energy consumption; The first matching degree is calculated according to the device energy consumption, the influencing factor and the theoretical energy consumption, wherein the calculation formula is: ; Among them, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the equipment energy consumption, and N(L) represents the theoretical energy consumption.

[0010] Preferably, the step of allocating and scheduling each pending PCB production order and production equipment according to the plurality of first matching degrees, the plurality of second matching degrees and the priority ranking table comprises: Sorting the plurality of production equipment in order of first matching degrees to obtain a first production equipment sorting table; Sorting the plurality of production equipment in order of the second matching degree to obtain a second production equipment sorting table; Obtaining order requirements for each PCB production order in turn according to the priority ranking table, wherein the order requirements include urgent quality requirements and urgent time requirements; If the order demand of the PCB production order ranked first in the priority sorting table is an urgent quality demand, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production; If the order demand of the PCB production order ranked first in the priority sorting table is an urgent demand, the PCB production order will be allocated to the production equipment ranked first in the first production equipment sorting table for production.

[0011] This application also provides a PCB production order management system, including: A first acquisition module is used to acquire order numbers of multiple pending PCB production orders, and acquire first production feature information of the pending PCB production orders according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information and product quantity information; The second acquisition module is used to obtain the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and to obtain the quality demand index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information; A third acquisition module is used to acquire equipment numbers of multiple production equipment, and acquire second production characteristic information of the production equipment according to each equipment number, wherein the second production characteristic information includes type information, production capacity information, equipment utilization rate and production accuracy information; A fourth acquisition module is used to acquire the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and to acquire the quality control capability of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production precision information; A fifth acquisition module, configured to acquire a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes; A sixth acquisition module, configured to acquire a corresponding first matching degree according to each of the daily output and the production operation efficiency, and to acquire a corresponding second matching degree according to each of the quality requirement index and the quality control capability; The scheduling module is used to allocate and schedule each pending PCB production order and production equipment according to the plurality of the first matching degrees, the plurality of the second matching degrees and the priority sorting table.

[0012] Preferably, the fourth acquisition module comprises: A first acquisition unit, configured to acquire the rated output, production capacity and theoretical maximum output according to the production capacity information; A second acquisition unit is used to acquire the comprehensive production capacity according to the rated output, production capacity and theoretical maximum output; A third acquisition unit is used to acquire actual operation time, equipment availability time and maintenance fault time according to the equipment utilization rate; A fourth acquisition unit is used to acquire the effective operation rate of the equipment according to the actual operation time, the equipment available time and the maintenance failure time, and to acquire the production operation efficiency according to the effective operation rate and the comprehensive production capacity; a fifth acquisition unit, configured to acquire a device stability index according to the type information, and acquire a production mean offset according to the device stability index; A sixth acquisition unit is used to acquire the equipment standard deviation according to the production accuracy information, and to acquire the quality control capability index according to the equipment standard deviation and the production mean offset.

[0013] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned PCB production order management method when executing the computer program.

[0014] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned PCB production order management method are implemented.

[0015] The beneficial effects of the present invention are as follows: the present invention dynamically adjusts the production sequence through the timeliness information and product quantity information of each order, thereby optimizing the production plan and avoiding imbalance in production load; according to the timeliness information and product quantity information of each order, the daily output corresponding to the order can be accurately calculated and the production sequence can be flexibly adjusted based on this information, thereby maximizing daily production capacity and improving overall production efficiency; by regulating the production sequence through the quality demand index, those orders with higher quality requirements can be given priority for production; by comprehensively considering multiple dimensions such as equipment type information, production capacity, equipment utilization rate and production accuracy for production scheduling, each order can be accurately matched with the most suitable equipment for production; by real-time monitoring of the production operation efficiency of the equipment, it can It can adjust the production task allocation of the equipment and calculate the quality control capability index of the production equipment according to the type information and production accuracy information of each equipment, which helps to select the most suitable equipment for producing a specific order according to the quality control capability of each equipment. By considering the production operation efficiency, the load of each production equipment can be arranged more reasonably to avoid equipment overload or idleness, thereby improving the overall production efficiency. By comprehensively considering the daily output and equipment performance matching, production bottlenecks can be effectively identified and avoided. By integrating data from multiple dimensions such as production efficiency, quality requirements, and equipment capabilities, a more refined decision-making process can be achieved, avoiding subjective deviations and errors in manual sorting, improving production efficiency and ensuring product quality, thereby improving the flexibility and responsiveness of the overall production system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a schematic diagram of a method flow according to an embodiment of the present invention.

[0017] Figure 2 FIG. 1 is a schematic diagram of a device structure according to an embodiment of the present invention.

[0018] Figure 3 A schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0019] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0021] like Figure 1-Figure 3 As shown, the present application provides a PCB production order management method, including: S1. Obtain order numbers of multiple pending PCB production orders, and obtain first production feature information of the pending PCB production orders according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information, and product quantity information; S2. Obtain the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and obtain the quality demand index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information; S3. Obtain equipment numbers of multiple production equipment, and obtain second production feature information of the production equipment according to each equipment number, wherein the second production feature information includes type information, production capacity information, equipment utilization rate and production accuracy information; S4. Obtain the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and obtain the quality control capability index of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production accuracy information; S5. Obtaining a priority ranking table of order numbers according to the multiple daily outputs and corresponding quality requirement indexes; S6. Obtain a corresponding first matching degree according to each of the daily output and the production operation efficiency, and obtain a corresponding second matching degree according to each of the quality requirement index and the quality control capability; S7. Allocate and schedule each pending PCB production order and production equipment according to the plurality of first matching degrees, the plurality of second matching degrees and the priority sorting table.

[0022] As described in the above steps S1-S2, the PCB board, also known as the printed circuit board, printed circuit board, or printed board for short, is based on an insulating board, cut into a certain size, with at least one conductive pattern attached thereon, and arranged with holes (such as component holes, fastening holes, metallized holes, etc.), and realizes the interconnection between electronic components. Since this board is made by electronic printing, it is called a "printed" circuit board. Production regulation has always been the core content of PCB production management optimization. With the development of society and changes in market demand, the regulation and management of PCB production orders has become the main production mode of most industries. In order to realize the control of the production process of PCB production orders, the PCB production order issuance processing system can receive and process orders. However, the existing PCB production order regulation and management mainly sorts the production in sequence according to the order placement time, and there is a problem that some PCB production orders are sorted at the back and the order distribution is unreasonable. The present invention obtains the product quality information, configuration information, timeliness information and product quantity information of the first production characteristic information of the pending PCB production order through each order number, and obtains the daily output of the pending PCB production order corresponding to the corresponding order number according to each timeliness information and product quantity information, and obtains the quality demand index of the pending PCB production order corresponding to the corresponding order number according to each product quality information and configuration information. Since the traditional method of sorting by order placement time may cause some orders to be too concentrated during production, resulting in an unbalanced load on the production line, especially orders with large production tasks or high technical requirements often take a long time, which may cause the production cycle of subsequent small batch orders to be delayed. By dynamically adjusting the production sequence based on the timeliness information and product quantity information of each order, the production plan can be optimized, the imbalance of production load can be avoided, and the waiting time can be reduced. According to the timeliness information and product quantity information of each order, the daily output corresponding to the order can be accurately calculated, and the production sequence can be flexibly adjusted based on this information, so as to maximize the daily production capacity and improve the overall production efficiency. By analyzing the timeliness information of each order, it can be ensured that those orders with high delivery timeliness requirements are given priority in production, thereby improving the overall production system's responsiveness to delivery timeliness, especially in the case of urgent orders or customers with high delivery requirements. In this way, it can be ensured that they are completed in time to avoid delivery delays caused by sorting problems. By regulating the production sequence through the quality demand index, those orders with high quality requirements can be given priority in production, ensuring that these high-quality orders are given priority in production on the premise of meeting quality standards, avoiding the accumulation of quality problems in subsequent stages. Production resources (such as equipment, personnel, raw materials, etc.) are usually limited. By combining the production requirements of the order (such as timeliness requirements, product quantity, quality requirements, etc.), the production scheduling system can dynamically adjust the production sequence according to the actual situation of resources to avoid waste of resources.For example, in the case of tight resources, the system can improve the production efficiency of small batch orders or optimize the scheduling of equipment to avoid idle resources and over-utilization caused by simply producing in sequence. The type information, production capacity information, equipment utilization rate and production precision information of the second production characteristic information of the production equipment are obtained through each equipment number, and the production operation efficiency of the production equipment corresponding to the corresponding equipment number is obtained according to each production capacity information and equipment utilization rate. The quality control capability index of the production equipment corresponding to the corresponding equipment number is obtained according to each type information and production precision information. Production scheduling is carried out by comprehensively considering multiple dimensions such as equipment type information, production capacity, equipment utilization rate and production precision. Each order can be accurately matched with the most suitable equipment for production. This can avoid the waste of equipment resources or load imbalance caused by simply sorting by order time, and improve the overall utilization efficiency of the equipment. By real-time monitoring of the production operation efficiency of the equipment (based on the calculation of production capacity and equipment utilization rate), the production task allocation of the equipment can be adjusted to avoid excessive load or idleness of certain equipment, thereby improving the efficiency of the entire production system. The quality control capability index of the production equipment is calculated according to the type information and production precision information of each equipment, which is helpful to match the equipment with the most suitable equipment according to each equipment. Quality control capabilities are used to select the most suitable equipment for producing specific orders, thereby ensuring the consistency and stability of product quality. Dynamic scheduling is performed based on real-time data of production equipment (such as production capacity, equipment utilization, production accuracy, etc.), which can more flexibly respond to sudden changes in production, such as equipment failures, urgent changes in orders, etc., thereby avoiding improper scheduling caused by idle equipment or overload in traditional production models. The priority ranking table of order numbers is obtained through multiple daily outputs and corresponding quality demand indexes. The corresponding first matching degree is obtained according to each daily output and production operation efficiency. The corresponding second matching degree is obtained according to each quality demand index and quality control capability. Then, each pending PCB production order and production equipment are allocated and scheduled according to multiple first matching degrees, multiple second matching degrees and priority ranking tables. By considering production operation efficiency (such as equipment utilization, production capacity, etc.), the load of each production equipment can be arranged more reasonably to avoid equipment overload or idleness, thereby improving overall production efficiency. By comprehensively considering the matching of daily output and equipment performance, production bottlenecks can be effectively identified and avoided, and production fluency can be improved. The matching degree of quality demand index and quality control capability can help ensure that orders with high quality standards are preferentially allocated to equipment with stronger quality control capabilities.This helps to improve the guarantee of high-quality products in the production process and reduce rework or production delays caused by quality problems. By considering the second matching degree (quality control capability), it can ensure that orders with high quality requirements in the production process are better handled, thereby reducing the defective rate in production and improving the overall quality of the product. Scheduling according to the specific needs, production capacity and quality requirements of each order, rather than just sorting by time, can respond to market and customer needs more quickly. Combining data from multiple dimensions (such as production efficiency, quality requirements, equipment capabilities, etc.) can achieve a more refined decision-making process and avoid subjective biases and errors in manual sorting. This can reduce the complexity of production scheduling, improve the level of system automation, and ultimately improve production efficiency, optimize resource allocation, ensure product quality, and thus improve the flexibility and responsiveness of the overall production system.

[0023] In one embodiment, the step S2 of obtaining the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and obtaining the quality requirement index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information includes: S21, obtaining a delivery period according to the timeliness information, and obtaining a production cycle according to the delivery period; S22, obtaining product category information of the first production characteristic information, and obtaining the total production volume according to the product category information and product quantity information; S23, obtaining daily output according to the total production volume and production cycle; S24. Acquire quality control indicators according to the product quality information, wherein the quality control indicators include tolerance range and accuracy requirements; S25. Obtain the center deviation mean, upper specification limit and lower specification limit according to the tolerance range, and calculate the production process capability index according to the center deviation mean, upper specification limit, lower specification limit and accuracy requirement, wherein the calculation formula is: ; Among them, S(GZ) represents the production process capability index, S(GX) represents the upper specification limit, Z(PJ) represents the mean of the central deviation, X(GX) represents the lower specification limit, and J(DY) represents the accuracy requirement; S26. Acquire quality standards and process requirements according to the configuration information, and acquire a production efficiency index according to the quality standards and process requirements; S27. Obtain a quality requirement index according to the production process capability index and the production efficiency index.

[0024] As described in the above steps S21-S27, the present invention obtains the delivery period through timeliness information, and obtains the production cycle based on the delivery period, obtains the product type information of the first production characteristic information, and obtains the total production volume based on the product type information and product quantity information, and then obtains the daily output based on the total production volume and the production cycle. Since the traditional production scheduling method usually sorts according to the order placement time, and this method focuses more on arranging production tasks according to the delivery time, by giving priority to the production of orders that are about to be delivered, delays caused by unreasonable production scheduling can be effectively avoided, thereby improving the overall delivery punctuality rate. Through the analysis of the delivery period and the production cycle, production can be arranged more accurately, reducing order delays caused by too long a production cycle or unreasonable production plans. By connecting the production tasks with the actual production capacity, the resource requirements of each production link can be balanced, the work efficiency of equipment and workers can be improved, and the overall delivery time rate can be reduced. Less waste. Calculating daily output based on total production and production cycle can more accurately evaluate the daily output of each product, so as to formulate a more appropriate production plan and avoid bottlenecks in certain production links (such as assembly, testing, etc.) due to production exceeding expectations. By analyzing data such as delivery time, production cycle, and product type, the production status can be more accurately grasped, and more scientific scheduling decisions can be made to improve the transparency and controllability of the production process. The tolerance range and precision requirements of quality control indicators are obtained through product quality information, and then the center deviation mean, upper specification limit, and lower specification limit are obtained based on the tolerance range. The production process capability index is calculated based on the center deviation mean, upper specification limit, lower specification limit, and precision requirements. By considering factors such as tolerance range, precision requirements, center deviation mean, and process capability index, the quality output of each production step can be accurately controlled to ensure that the final product meets the specified quality standards. This helps to reduce the generation of defective products, reduce rework and scrap rates, and evaluates the stability of the production process based on the process capability index, which can identify and control potential quality fluctuations. In high-precision PCB production, the process capability index provides a quantitative standard for measuring the stability and capability of the production process, which helps to ensure the consistency of the production process, thereby improving the controllability of product quality. Unlike the traditional method of sorting only by order time, this method can flexibly adjust the production sequence according to the quality requirements and production process capabilities of each order.For example, for orders with higher quality requirements or more difficult production processes, production is given priority to avoid these orders being affected by the production sequence because they are placed at the back. By combining information such as the production process capability index, tolerance range and precision requirements, the production requirements of different orders can be accurately matched, so that production resources (such as equipment, personnel and materials) can be allocated more reasonably. By obtaining product quality information (such as tolerance range, precision requirements, center deviation, etc.) in real time, the production plan can be dynamically adjusted. Compared with the traditional method of arranging production in chronological order, scheduling production based on quality control indicators (such as tolerance range, precision requirements and process capability index) can avoid certain high-precision production delays. , high-difficulty orders affect production quality or delivery time due to being queued at the back, which can ensure that these high-demand orders are processed in a timely manner to avoid the problem of uneven order distribution, obtain quality standards and process requirements through configuration information, and obtain the production efficiency index based on the quality standards and process requirements, and then obtain the quality demand index based on the production process capability index and production efficiency index. Among them, the quality demand index is an indicator that comprehensively considers product quality requirements and production configuration information. It helps to measure the strictness of quality standards that need to be achieved in the production process. The existing production scheduling method usually only sorts the orders according to the order time. This method ignores the complexity of the orders and the requirements for production processes and quality. By introducing factors such as quality standards and process requirements, orders can be sorted according to comprehensive factors such as the complexity of the production process, the difficulty of the process requirements, and the level of quality requirements, so as to more reasonably allocate production resources and optimize production scheduling. By calculating the production efficiency index, it can help determine the production difficulty and production time required for different orders. The combination of the production process capability index and the quality requirement index can reflect the degree of matching between process capability and quality requirements in the production process, which can not only improve production efficiency and reduce production cycle, but also improve production quality and optimize resource utilization, thereby improving the efficiency and quality of the entire production process, and ultimately achieving higher customer satisfaction and corporate profits.

[0025] In one embodiment, the step S4 of acquiring the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and acquiring the quality control capability index of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production precision information, comprises: S41, obtaining rated output, production capacity and theoretical maximum output according to the production capacity information; S42, obtaining comprehensive production capacity according to the rated output, production capacity and theoretical maximum output; S43, obtaining actual operation time, equipment availability time and maintenance fault time according to the equipment utilization rate; S44, obtaining the effective operation rate of the equipment according to the actual operation time, the equipment available time and the maintenance failure time, and obtaining the production operation efficiency according to the effective operation rate and the comprehensive production capacity; S45. Acquire a device stability index according to the type information, and acquire a production mean offset according to the device stability index; S46. Obtaining the equipment standard deviation according to the production accuracy information, and obtaining the quality control capability index according to the equipment standard deviation and the production mean offset.

[0026] As described in the above steps S41-S46, the present invention obtains the rated output, production capacity and theoretical maximum output through production capacity information, and obtains the comprehensive production capacity based on the rated output, production capacity and theoretical maximum output, obtains the actual operating time, equipment available time and maintenance fault time through equipment utilization rate, and obtains the equipment effective operation rate based on the actual operating time, equipment available time and maintenance fault time, and then obtains the production operation efficiency through the effective operation rate and comprehensive production capacity, wherein the production operation efficiency generally refers to the ratio of the actual production volume of the equipment within a certain period of time to the theoretical production volume, and indicators such as theoretical maximum output, production capacity and rated output can help factories accurately measure the potential and capabilities of their production equipment in the best state.This helps to formulate more accurate production plans, rather than simply relying on the order placement time for simple ordering. Specifically, through the calculation of comprehensive production capacity, the optimal load of the production line can be determined, thereby avoiding efficiency waste caused by overproduction or insufficient production capacity. According to the actual operating time, equipment available time and maintenance failure time, the production plan can be reasonably arranged to ensure that each production link can achieve efficient operation as much as possible, reducing waiting and downtime. Equipment utilization and effective operation rate are the core indicators for measuring equipment production efficiency. By accurately tracking the actual operation status, available time and failure maintenance time of the equipment, the comprehensive utilization rate of the equipment can be improved, and the idle and unplanned downtime of the equipment can be reduced. By combining the effective operation rate with the comprehensive production capacity, it can be determined which production links have inefficiencies and then improved. The equipment stability index is obtained through type information, and the production mean offset is obtained based on the equipment stability index. The equipment standard deviation is obtained through production accuracy information, and the quality control capability index is obtained based on the equipment standard deviation and production mean offset. Among them, the production mean offset refers to the difference between the actual mean (average value) of the PCB product and the target value or specification center value during the production process. The deviation between the equipment and the quality control capability index is used to measure whether the equipment can stably produce qualified products within the specification range during the production process. The higher the Cpk value, the more stable the equipment production process is and the higher the quality level can be. Through the equipment stability index, production mean offset and standard deviation, the stability and accuracy of the equipment can be evaluated and predicted to avoid production fluctuations caused by equipment instability. The production sequence can be adjusted according to this information to ensure that orders with higher accuracy requirements are given priority, thereby reducing quality fluctuations and rework in later production. Combined with the quality control capability index, the production accuracy and stability of the equipment can be quantitatively analyzed to help identify which orders may be limited by equipment capabilities, avoid low-quality orders being scheduled in the later stages of production, and ensure the quality consistency of delivered products. By comprehensively considering the stability of the equipment and production deviations, the priority of production tasks can be dynamically adjusted to avoid some orders that require higher accuracy from being delayed due to large or unstable equipment errors due to late scheduling. Therefore, by optimizing scheduling by combining equipment stability and production accuracy information, it is helpful to improve the scientific nature of production scheduling, ensure that high-quality orders are given priority, and reduce uncertainty in production, thereby improving overall efficiency.

[0027] In one embodiment, the step S5 of obtaining a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes comprises: S51, obtaining the maximum daily output and the minimum daily output according to each of the daily outputs; S52, obtaining a corresponding standardized daily output according to each of the daily outputs, the maximum daily output and the minimum daily output; S53, obtaining a maximum quality requirement index and a minimum quality requirement index according to each of the quality requirement indexes; S54, obtaining a corresponding standardized quality requirement index according to each of the quality requirement indexes, the maximum quality requirement index and the minimum quality requirement index; S55, obtaining a first priority score corresponding to the order number according to each of the standardized quality requirement indexes and the standardized daily output; S56. Sort the order numbers corresponding to the plurality of first priority scores in order of magnitude to obtain a priority sorting table.

[0028] As described in the above steps S51-S56, the present invention obtains the maximum daily output and the minimum daily output through each daily output, obtains the corresponding standardized daily output according to each daily output, the maximum daily output and the minimum daily output, obtains the maximum quality demand index and the minimum quality demand index through each quality demand index, and obtains the corresponding standardized quality demand index according to each quality demand index, the maximum quality demand index and the minimum quality demand index. By standardizing the daily output of each order, the daily output differences between different orders can be quantitatively compared, which avoids the situation where the subsequent order production arrangement is unreasonable due to the large or small daily output of some orders. By considering the standardization of orders Daily output can make production scheduling more balanced, avoid over-concentration or over-dispersion of production, and improve the load utilization rate of the production line. Each order may have different quality requirements. By standardizing the quality demand index, it can be ensured that the production plan not only considers the delivery time of the order, but also comprehensively considers the priority of quality requirements. Orders with high quality requirements can be prioritized into the production line to ensure that orders with higher quality requirements are not affected by scheduling issues. By standardizing daily output, the production demand between each order can be more scientifically balanced, so that the load of the production line is evenly distributed. At the same time, by introducing standardized quality demand index, it can ensure quality requirements. Under the premise of optimizing production scheduling, we can avoid low-quality orders affecting the production progress of high-quality orders, thereby improving the smoothness of the production process and reducing the occurrence of production stagnation or bottlenecks. This can improve production efficiency, resource utilization, reduce production fluctuations, and enhance the stability of order delivery, reduce quality fluctuations and production bottlenecks caused by unreasonable order sorting, and finally achieve efficient, accurate and flexible production scheduling. The first priority score of the corresponding order number is obtained through each standardized quality demand index and standardized daily output, and then the order numbers corresponding to multiple first priority scores are sorted in order of size to obtain a priority sorting table. The traditional method of sorting by order placement time often ignores the actual production requirements of the order, such as the quality requirements and daily output of the order. By using the standardized quality demand index and standardized daily output, the order can be assigned priority according to the actual production requirements of the order, ensuring that high-quality and high-complexity orders are produced first, which avoids production bottlenecks and quality fluctuations caused by unreasonable order scheduling and optimizes the production process. By calculating the first priority score for each order and sorting them in order of size, production resources can be allocated more accurately. By standardizing quality requirements and daily output, production scheduling can more flexibly adjust the production sequence according to the actual requirements of the order.For example, if some orders have urgent quality requirements or higher production priorities, the system can automatically identify and prioritize these orders instead of simply relying on the order time. By sorting the orders by priority score, the production sequence can be arranged more reasonably to ensure that high-priority orders can be completed on time, especially for those orders with high quality requirements or fast delivery. By combining the standardized quality requirement index and the standardized daily output, and sorting the orders according to the calculated first priority score, the scheduling management of PCB production orders can be effectively optimized, overcoming the unreasonable distribution problem that may be caused by sorting based on order time, thereby improving the rationality of production scheduling, the optimal allocation of production resources, the flexibility of the production process, the stability of quality control, and ultimately improving delivery punctuality and customer satisfaction, and improving overall production efficiency and corporate competitiveness.

[0029] In one embodiment, the step S6 of acquiring the corresponding first matching degree according to each of the daily output and the production operation efficiency includes: S61, obtaining unit energy consumption according to the daily output, and obtaining resource energy consumption according to the unit energy consumption; S62, obtaining device energy consumption (actual energy consumption) according to the resource energy consumption, and obtaining an influencing factor of the device energy consumption; S63, obtaining a maximum output capacity according to the production operation efficiency, and obtaining an actual output amount according to the maximum output capacity and the production operation efficiency; S64, obtaining equipment load according to the actual output, and obtaining theoretical energy consumption according to the equipment load and resource energy consumption; S65. Calculate a first matching degree according to the device energy consumption, the influencing factor and the theoretical energy consumption, wherein the calculation formula is: ; Among them, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the equipment energy consumption, and N(L) represents the theoretical energy consumption.

[0030] As described in the above steps S61-S65, the present invention obtains unit energy consumption through daily output, and obtains resource energy consumption based on the unit energy consumption, obtains equipment energy consumption through resource energy consumption, and obtains the influencing factor of equipment energy consumption, obtains maximum output capacity through production operation efficiency, and obtains actual output according to maximum output capacity and production operation efficiency, obtains equipment load through actual output, and obtains theoretical energy consumption according to equipment load and resource energy consumption, and finally calculates the first matching degree through equipment energy consumption, influencing factor and theoretical energy consumption, and arranges production tasks in a more reasonable order by comprehensively considering multiple factors (such as equipment energy consumption, resource consumption, production efficiency, etc.). This optimized production order can balance the needs of various production orders and avoid delays or production problems caused by mismatch of production resources or equipment for some orders. By analyzing unit energy consumption, resource energy consumption and equipment energy consumption, and then calculating theoretical energy consumption, and combining the influencing factor of the equipment, it can More accurate assessment of the energy consumption of each production task enables production scheduling to not only improve output capacity, but also use energy resources more efficiently, reduce unnecessary energy waste, further optimize the overall production process, and improve energy utilization efficiency. By considering the equipment load and adjusting the production load according to the actual output, it is possible to avoid situations where the equipment load is too high or too low, thereby reducing equipment failure rate and maintenance costs. Reasonable equipment load can allow the production line to operate in a more stable state, ensuring a smoother and more efficient production process, and reducing downtime or inefficiency caused by equipment failure or mismatched resource consumption. By calculating the production operation efficiency and maximum output capacity, it can be ensured that the production plan can maximize the use of the equipment's output potential. At the same time, based on the relationship between the maximum output capacity and the actual output, the production strategy can be flexibly adjusted to avoid low production efficiency or waste of resources due to overly conservative or overly aggressive production plans.

[0031] In one embodiment, the step S7 of allocating and scheduling each pending PCB production order and production equipment according to the plurality of first matching degrees, the plurality of second matching degrees and the priority ranking table includes: S71, sorting the plurality of production equipment in order of first matching degrees to obtain a first production equipment sorting table; S72, sorting the plurality of production equipment in order of the second matching degree to obtain a second production equipment sorting table; S73, sequentially obtaining the order requirements of each PCB production order according to the priority ranking table, wherein the order requirements include urgent quality requirements and urgent time requirements; S74, if the order demand of the PCB production order ranked first in the priority sorting table is an urgent quality demand, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production; S75. If the order demand of the PCB production order ranked first in the priority sorting table is an urgent demand, the PCB production order is allocated to the production equipment ranked first in the first production equipment sorting table for production.

[0032] As described in the above steps S71-S75, the present invention obtains a first production equipment sorting table by sorting multiple production equipment in the order of the first matching degree, obtains a second production equipment sorting table by sorting multiple production equipment in the order of the second matching degree, and obtains the quality emergency demand and time emergency demand in the order demand of each PCB production order in turn according to the priority sorting table. If the order demand of the PCB production order ranked first in the priority sorting table is a quality emergency demand, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production. If the order demand of the PCB production order ranked second in the priority sorting table is a quality emergency demand, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production. The PCB production order is assigned to the production equipment ranked first in the first production equipment sorting table for production. However, before the assignment, it is necessary to determine whether the production equipment ranked first in the first production equipment sorting table is repeated with the production equipment ranked first in the second production equipment sorting table. If not, the PCB production order is assigned to the production equipment ranked first in the first production equipment sorting table for production. If repeated, the PCB production order is assigned to the production equipment ranked second in the first production equipment sorting table for production, and so on. Similarly, if the order demand of the PCB production order ranked first in the priority sorting table is a time-sensitive urgent demand, the PCB production order is assigned to the production equipment ranked first in the first production equipment sorting table. The first production equipment is used for production, and the subsequent sorting and allocation are the same as the allocation method for the above-mentioned order demand for urgent quality demand. By sorting the production equipment according to the "first matching degree" and the "second matching degree", it can be ensured that different equipment is reasonably allocated according to the priority of order demand, thereby improving the utilization rate of equipment. By adopting the priority judgment and matching mechanism, the repeated allocation of the same equipment is avoided, ensuring that different orders can reasonably use the production equipment without competing for limited resources at the same time. For orders of different priorities, the allocation strategy can be flexibly adjusted to avoid the problem of "order processing lag" caused by simply sorting by order time. Even if the order is submitted later, if it has a higher urgency, it can also be Can be prioritized for processing. The traditional method of sorting production by order time easily causes some urgent orders to be put at the back, thus delaying delivery. By introducing multi-dimensional sorting (including urgent requirements for quality and timeliness), orders can be more reasonably allocated to production plans, reducing production bottlenecks caused by delayed processing of certain orders. Overall, by considering the urgent requirements of orders (quality and timeliness) and the priority sorting of equipment, this method can greatly improve production management efficiency, optimize the allocation of equipment resources, reduce production delays, improve production flexibility and transparency, and ultimately improve customer satisfaction. Compared with the traditional method that only relies on order time sorting, this method can better cope with complex and changing production environments.Solve the unreasonable distribution problem that may occur in the existing PCB production order scheduling.

[0033] This application also provides a PCB production order management system, including: A first acquisition module is used to acquire order numbers of multiple pending PCB production orders, and acquire first production feature information of the pending PCB production orders according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information and product quantity information; The second acquisition module is used to obtain the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and to obtain the quality demand index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information; A third acquisition module is used to acquire equipment numbers of multiple production equipment, and acquire second production characteristic information of the production equipment according to each equipment number, wherein the second production characteristic information includes type information, production capacity information, equipment utilization rate and production accuracy information; A fourth acquisition module is used to acquire the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and to acquire the quality control capability of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production precision information; A fifth acquisition module, configured to acquire a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes; A sixth acquisition module, configured to acquire a corresponding first matching degree according to each of the daily output and the production operation efficiency, and to acquire a corresponding second matching degree according to each of the quality requirement index and the quality control capability; The scheduling module is used to allocate and schedule each pending PCB production order and production equipment according to the plurality of the first matching degrees, the plurality of the second matching degrees and the priority sorting table.

[0034] In one embodiment, the fourth acquisition module includes: A first acquisition unit, configured to acquire the rated output, production capacity and theoretical maximum output according to the production capacity information; A second acquisition unit is used to acquire the comprehensive production capacity according to the rated output, production capacity and theoretical maximum output; A third acquisition unit is used to acquire actual operation time, equipment availability time and maintenance fault time according to the equipment utilization rate; A fourth acquisition unit is used to acquire the effective operation rate of the equipment according to the actual operation time, the equipment available time and the maintenance failure time, and to acquire the production operation efficiency according to the effective operation rate and the comprehensive production capacity; a fifth acquisition unit, configured to acquire a device stability index according to the type information, and acquire a production mean offset according to the device stability index; A sixth acquisition unit is used to acquire the equipment standard deviation according to the production accuracy information, and to acquire the quality control capability index according to the equipment standard deviation and the production mean offset.

[0035] The present invention also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned PCB production order management method when executing the computer program.

[0036] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned PCB production order management method are implemented.

[0037] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0038] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0039] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A PCB production order management method, characterized in that: include: Obtain order numbers of multiple pending PCB production orders, and obtain first production feature information of the pending PCB production orders according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information, and product quantity information; According to each of the timeliness information and product quantity information, the daily output of the pending PCB production order corresponding to the corresponding order number is obtained; according to each of the product quality information and configuration information, the quality requirement index of the pending PCB production order corresponding to the corresponding order number is obtained; Obtaining equipment numbers of multiple production equipment, and obtaining second production feature information of the production equipment according to each equipment number, wherein the second production feature information includes type information, production capacity information, equipment utilization rate, and production accuracy information; According to each of the production capacity information and the equipment utilization rate, the production operation efficiency of the production equipment corresponding to the corresponding equipment number is obtained; according to each of the type information and the production accuracy information, the quality control capability index of the production equipment corresponding to the corresponding equipment number is obtained; Obtaining a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes; Obtain a corresponding first matching degree according to each of the daily output and the production operation efficiency, and obtain a corresponding second matching degree according to each of the quality requirement index and the quality control capability; Each pending PCB production order is allocated and scheduled to production equipment according to the plurality of first matching degrees, the plurality of second matching degrees and the priority sorting table.

2. The PCB production order management method according to claim 1, characterized in that: The step of obtaining the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and obtaining the quality requirement index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information includes: Obtaining a delivery period according to the timeliness information, and obtaining a production cycle according to the delivery period; Acquire product category information of the first production characteristic information, and acquire the total production volume according to the product category information and product quantity information; Obtain daily production according to the total production volume and production cycle; Acquiring quality control indicators according to the product quality information, wherein the quality control indicators include tolerance range and accuracy requirements; The center deviation mean, upper specification limit and lower specification limit are obtained according to the tolerance range, and the production process capability index is calculated according to the center deviation mean, upper specification limit, lower specification limit and precision requirement, wherein the calculation formula is: ； Among them, S(GZ) represents the production process capability index, S(GX) represents the upper specification limit, Z(PJ) represents the mean of the central deviation, X(GX) represents the lower specification limit, and J(DY) represents the accuracy requirement; Acquire quality standards and process requirements according to the configuration information, and acquire a production efficiency index according to the quality standards and process requirements; A quality requirement index is obtained according to the production process capability index and the production efficiency index.

3. The PCB production order management method according to claim 1, characterized in that: The step of obtaining the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and obtaining the quality control capability index of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production accuracy information, comprises: Obtaining rated output, production capacity and theoretical maximum output according to the production capacity information; Obtain comprehensive production capacity based on the rated output, production capacity and theoretical maximum output; According to the equipment utilization rate, the actual operation time, equipment availability time and maintenance failure time are obtained; Obtaining the effective operation rate of the equipment according to the actual operation time, the equipment available time and the maintenance failure time, and obtaining the production operation efficiency according to the effective operation rate and the comprehensive production capacity; Acquire a device stability index according to the type information, and acquire a production mean offset according to the device stability index; The equipment standard deviation is obtained according to the production accuracy information, and the quality control capability index is obtained according to the equipment standard deviation and the production mean offset.

4. The PCB production order management method according to claim 1, characterized in that: The step of obtaining a priority ranking table of order numbers according to the plurality of daily outputs and corresponding quality requirement indexes comprises: Obtaining the maximum daily output and the minimum daily output according to each of the daily outputs; Obtaining the corresponding standardized daily output according to each of the daily outputs, the maximum daily output and the minimum daily output; Obtaining a maximum quality requirement index and a minimum quality requirement index according to each of the quality requirement indexes; Obtaining a corresponding standardized quality requirement index according to each of the quality requirement indexes, the maximum quality requirement index and the minimum quality requirement index; Obtaining a first priority score corresponding to the order number according to each of the standardized quality requirement indexes and the standardized daily output; The order numbers corresponding to the plurality of first priority scores are sorted in order of size to obtain a priority sorting table.

5. The PCB production order management method according to claim 1, characterized in that: The step of obtaining the corresponding first matching degree according to each of the daily output and the production operation efficiency comprises: Obtain unit energy consumption according to the daily output, and obtain resource energy consumption according to the unit energy consumption; Obtaining device energy consumption according to the resource energy consumption, and obtaining an influencing factor of the device energy consumption; Obtaining a maximum output capacity according to the production operation efficiency, and obtaining an actual output amount according to the maximum output capacity and the production operation efficiency; Obtaining equipment load according to the actual output, and obtaining theoretical energy consumption according to the equipment load and resource energy consumption; The first matching degree is calculated according to the device energy consumption, the influencing factor and the theoretical energy consumption, wherein the calculation formula is: ； Among them, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the equipment energy consumption, and N(L) represents the theoretical energy consumption.

6. The PCB production order management method according to claim 1, characterized in that: The step of allocating and scheduling each pending PCB production order and production equipment according to the plurality of first matching degrees, the plurality of second matching degrees and the priority ranking table comprises: Sorting the plurality of production equipment in order of first matching degrees to obtain a first production equipment sorting table; Sorting the plurality of production equipment in order of the second matching degree to obtain a second production equipment sorting table; Obtaining order requirements for each PCB production order in turn according to the priority ranking table, wherein the order requirements include urgent quality requirements and urgent time requirements; If the order demand of the PCB production order ranked first in the priority sorting table is an urgent quality demand, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production; If the order demand of the PCB production order ranked first in the priority sorting table is an urgent demand, the PCB production order will be allocated to the production equipment ranked first in the first production equipment sorting table for production.

7. A PCB production order management system, characterized in that: include: A first acquisition module is used to acquire order numbers of multiple pending PCB production orders, and acquire first production feature information of the pending PCB production orders according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information and product quantity information; The second acquisition module is used to obtain the daily output of the pending PCB production order corresponding to the corresponding order number according to each of the timeliness information and product quantity information, and to obtain the quality demand index of the pending PCB production order corresponding to the corresponding order number according to each of the product quality information and configuration information; A third acquisition module is used to acquire equipment numbers of multiple production equipment, and acquire second production characteristic information of the production equipment according to each equipment number, wherein the second production characteristic information includes type information, production capacity information, equipment utilization rate and production accuracy information; A fourth acquisition module is used to acquire the production operation efficiency of the production equipment corresponding to the corresponding equipment number according to each of the production capacity information and the equipment utilization rate, and to acquire the quality control capability of the production equipment corresponding to the corresponding equipment number according to each of the type information and the production precision information; A fifth acquisition module, configured to acquire a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indexes; A sixth acquisition module, configured to acquire a corresponding first matching degree according to each of the daily output and the production operation efficiency, and to acquire a corresponding second matching degree according to each of the quality requirement index and the quality control capability; The scheduling module is used to allocate and schedule each pending PCB production order and production equipment according to the plurality of the first matching degrees, the plurality of the second matching degrees and the priority sorting table.

8. The PCB production order management system according to claim 7, characterized in that: The fourth acquisition module includes: A first acquisition unit, configured to acquire the rated output, production capacity and theoretical maximum output according to the production capacity information; A second acquisition unit is used to acquire the comprehensive production capacity according to the rated output, production capacity and theoretical maximum output; A third acquisition unit is used to acquire actual operation time, equipment availability time and maintenance fault time according to the equipment utilization rate; A fourth acquisition unit is used to acquire the effective operation rate of the equipment according to the actual operation time, the equipment available time and the maintenance failure time, and to acquire the production operation efficiency according to the effective operation rate and the comprehensive production capacity; a fifth acquisition unit, configured to acquire a device stability index according to the type information, and acquire a production mean offset according to the device stability index; A sixth acquisition unit is used to acquire the equipment standard deviation according to the production accuracy information, and to acquire the quality control capability index according to the equipment standard deviation and the production mean offset.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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