A PCB production order management method, system and computer equipment

Abstract

The present invention relates to the field of PCB technology, and in particular to a PCB production order management method. The present invention dynamically adjusts the production sequence based on the timeliness information and product quantity information of each order, thereby avoiding imbalanced production loads. Based on the timeliness information and product quantity information of each order, the daily output corresponding to the order is accurately calculated, and the production sequence is flexibly adjusted based on this information. The production sequence is regulated by a quality requirement index, with priority given to orders with higher quality requirements. The quality control capability index of production equipment is calculated based on the type information and production accuracy information of each device, facilitating the selection of the most suitable equipment for producing a specific order based on the quality control capability of each device. By integrating data from multiple dimensions, such as production efficiency, quality requirements, and equipment capabilities, a more refined decision-making process is achieved, production efficiency is improved, product quality is guaranteed, and the flexibility and responsiveness of the overall production system are thereby enhanced.

Description

Technical Field

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

[0002] A PCB, also known as a printed circuit board (PCB), is a substrate made of an insulating substrate cut to size. It has at least one conductive pattern and is covered with holes (such as component holes, fastener holes, and plated holes) to interconnect electronic components. Because this board is manufactured using electronic printing technology, it is called a "printed" circuit board.

[0003] Production control has always been a core component 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 a primary production model for most industries. To achieve control over the PCB production order production process, a PCB production order processing system is required to receive and process orders. However, existing PCB production order control management primarily prioritizes production based on order placement time, resulting in some PCB production orders being ranked late and resulting in irrational order distribution. 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:

[0006] Obtain order numbers of multiple pending PCB production orders, and obtain first production feature information of the pending PCB production order according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information, and product quantity information;

[0007] Obtaining the daily output of the pending PCB production order corresponding to the corresponding order number based on 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 based on each of the product quality information and configuration information;

[0008] 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;

[0009] Obtaining the production operation efficiency of the production equipment corresponding to the corresponding equipment number based on each of the production capacity information and equipment utilization rate, and obtaining the quality control capability index of the production equipment corresponding to the corresponding equipment number based on each of the type information and production accuracy information;

[0010] Obtaining a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indices;

[0011] Obtaining a corresponding first matching degree according to each of the daily output and the production operation efficiency, and obtaining a corresponding second matching degree according to each of the quality requirement index and the quality control capability;

[0012] 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.

[0013] 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 aging 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:

[0014] Obtaining a delivery period based on the aging information, and obtaining a production cycle based on the delivery period;

[0015] Obtaining product category information of the first production characteristic information, and obtaining the total production volume based on the product category information and product quantity information;

[0016] Obtain daily output based on the total production volume and production cycle;

[0017] Acquiring quality control indicators based on the product quality information, wherein the quality control indicators include tolerance ranges and accuracy requirements;

[0018] 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 accuracy requirements, wherein the calculation formula is:

[0019] ;

[0020] 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;

[0021] Obtaining quality standards and process requirements based on the configuration information, and obtaining a production efficiency index based on the quality standards and process requirements;

[0022] A quality requirement index is obtained according to the production process capability index and the production efficiency index.

[0023] 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 precision information includes:

[0024] Obtaining rated output, production capacity and theoretical maximum output according to the production capacity information;

[0025] Obtain comprehensive production capacity based on the rated output, production capacity and theoretical maximum output;

[0026] Obtaining actual operating time, equipment availability time, and maintenance failure time based on the equipment utilization rate;

[0027] Obtaining the effective operation rate of the equipment based on the actual operation time, equipment availability time, and maintenance failure time, and obtaining the production operation efficiency based on the effective operation rate and comprehensive production capacity;

[0028] Obtaining a device stability index according to the type information, and obtaining a production mean offset according to the device stability index;

[0029] 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.

[0030] Preferably, the step of obtaining a priority ranking table of order numbers according to the plurality of daily outputs and corresponding quality requirement indexes comprises:

[0031] Obtaining a maximum daily output and a minimum daily output according to each of the daily outputs;

[0032] Obtaining corresponding standardized daily output according to each of the daily outputs, the maximum daily output, and the minimum daily output;

[0033] Obtaining a maximum quality requirement index and a minimum quality requirement index according to each of the quality requirement indexes;

[0034] 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;

[0035] Obtaining a first priority score for the corresponding order number according to each of the standardized quality requirement indexes and the standardized daily output;

[0036] The order numbers corresponding to the plurality of first priority scores are sorted in order of size to obtain a priority sorting table.

[0037] Preferably, the step of obtaining the corresponding first matching degree according to each of the daily output and production operation efficiency includes:

[0038] Obtaining unit energy consumption based on the daily output, and obtaining resource energy consumption based on the unit energy consumption;

[0039] Obtaining device energy consumption based on the resource energy consumption, and obtaining an influencing factor of the device energy consumption;

[0040] 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;

[0041] Obtaining equipment load based on the actual output, and obtaining theoretical energy consumption based on the equipment load and resource energy consumption;

[0042] A first matching degree is calculated according to the device energy consumption, the impact factor, and the theoretical energy consumption, wherein the calculation formula is:

[0043] ;

[0044] Wherein, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the device energy consumption, and N(L) represents the theoretical energy consumption.

[0045] 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:

[0046] Sorting the plurality of production equipment in order of first matching degrees to obtain a first production equipment sorting table;

[0047] sorting the plurality of production equipment according to the order of the second matching degrees to obtain a second production equipment sorting table;

[0048] Obtaining order requirements for each PCB production order in sequence according to the priority sorting table, wherein the order requirements include urgent quality requirements and urgent time requirements;

[0049] If the order requirement of the PCB production order ranked first in the priority sorting table is an urgent quality requirement, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production;

[0050] 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.

[0051] This application also provides a PCB production order management system, including:

[0052] a first acquisition module, configured to acquire order numbers of a plurality of 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;

[0053] A second acquisition module is configured to acquire the daily output of the pending PCB production order corresponding to the corresponding order number based on each of the timeliness information and product quantity information, and to acquire the quality requirement index of the pending PCB production order corresponding to the corresponding order number based on each of the product quality information and configuration information;

[0054] a third acquisition module, configured to acquire equipment numbers of a plurality of 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;

[0055] A fourth acquisition module is configured to acquire the production operation efficiency of the production equipment corresponding to the corresponding equipment number based on 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 based on each of the type information and the production accuracy information;

[0056] A fifth acquisition module, configured to acquire a priority ranking table of order numbers according to the plurality of daily outputs and corresponding quality requirement indexes;

[0057] 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;

[0058] The scheduling module is used to 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.

[0059] Preferably, the fourth acquisition module includes:

[0060] A first acquisition unit is configured to acquire the rated output, production capacity, and theoretical maximum output according to the production capacity information;

[0061] A second acquisition unit is used to acquire comprehensive production capacity according to the rated output, production capacity and theoretical maximum output;

[0062] A third acquisition unit is used to acquire actual operation time, equipment availability time and maintenance fault time according to the equipment utilization rate;

[0063] a fourth obtaining unit, configured to obtain an effective operation rate of the equipment based on the actual operation time, the equipment available time, and the maintenance fault time, and to obtain a production operation efficiency based on the effective operation rate and the comprehensive production capacity;

[0064] a fifth acquiring 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;

[0065] A sixth acquisition unit is configured to acquire an equipment standard deviation according to the production accuracy information, and to acquire a quality control capability index according to the equipment standard deviation and a production mean offset.

[0066] 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.

[0067] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned PCB production order management method are implemented.

[0068] 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, which can optimize the production plan and avoid the imbalance of 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 and production accuracy for production scheduling, each order can be accurately matched with the most suitable equipment for production. By monitoring the production operation efficiency of the equipment in real time, it can It can adjust the production task allocation of equipment and calculate the quality control capability index of production equipment according to the type information and production accuracy information of each equipment, which helps to select the most suitable equipment for producing specific orders 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 matching of daily output and equipment performance, 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

[0069] Figure 1Schematic diagram of a method flow according to an embodiment of the present invention.

[0070] Figure 2 FIG. 1 is a schematic diagram of the device structure according to an embodiment of the present invention.

[0071] Figure 3 This is a schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0072] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0073] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0074] like Figure 1-Figure 3 As shown, the present application provides a PCB production order management method, including:

[0075] 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;

[0076] S2. Obtaining the daily output of the pending PCB production order corresponding to the corresponding order number based on 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 based on each of the product quality information and configuration information;

[0077] 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;

[0078] S4. Obtaining the production operation efficiency of the production equipment corresponding to the corresponding equipment number based on each of the production capacity information and equipment utilization rate, and obtaining the quality control capability index of the production equipment corresponding to the corresponding equipment number based on each of the type information and production accuracy information;

[0079] S5. Obtaining a priority ranking table of order numbers based on the multiple daily production volumes and corresponding quality requirement indices;

[0080] S6. Obtaining a corresponding first matching degree based on each of the daily output and the production operation efficiency, and obtaining a corresponding second matching degree based on each of the quality requirement index and the quality control capability;

[0081] 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 ranking table.

[0082] As described in steps S1-S2 above, a PCB (printed circuit board), also known as a printed circuit board (PCB), is made of an insulating substrate cut to size. It features at least one conductive pattern and is provided with holes (such as component holes, fastener holes, and plated holes) to interconnect electronic components. Because these boards are manufactured using electronic printing techniques, they are called "printed" circuit boards. Production control has always been a core component 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 a primary production model in most industries. To control the production process of PCB production orders, a PCB production order processing system is required to receive and process orders. However, existing PCB production order control systems primarily prioritize production based on order placement time, resulting in some PCB production orders being ranked late and resulting in irrational order distribution. The present invention obtains the product quality information, configuration information, aging 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 aging 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 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, production load imbalance can be avoided, and waiting time can be reduced. Based on 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 analyzing the timeliness information of each order, orders with high delivery time requirements can be prioritized, thereby improving the overall production system's responsiveness to delivery time requirements. This is especially true in the case of urgent orders or customers with high delivery requirements. In this way, they can ensure that they are completed in a timely manner and delivery delays caused by sequencing problems can be avoided. By regulating the production sequence through the quality demand index, orders with high quality requirements can be prioritized for production, ensuring that these high-quality orders are prioritized 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 resources to avoid resource waste.For example, when resources are tight, 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 accuracy 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 accuracy information. 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. 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 (calculated based on 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 accuracy 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 equipment most suitable for producing specific orders, thereby ensuring consistent and stable product quality. Dynamic scheduling based on real-time production equipment data (such as production capacity, equipment utilization, and production accuracy) allows for more flexible response to sudden changes in production, such as equipment failures and urgent order changes, thereby avoiding improper scheduling caused by idle or overloaded equipment in traditional production models. A priority ranking table for order numbers is obtained by combining multiple daily production volumes and corresponding quality demand indices. A first matching degree is determined based on each daily production volume and production efficiency, and a second matching degree is determined based on each quality demand index and quality control capability. Each pending PCB production order is then assigned to production equipment based on these multiple first matching degrees, multiple second matching degrees, and the priority ranking table. By considering production efficiency (such as equipment utilization and production capacity), the load on each production equipment can be more rationally allocated, avoiding equipment overload or idleness, thereby improving overall production efficiency. By comprehensively considering the matching of daily production volume and equipment performance, production bottlenecks can be effectively identified and avoided, improving production fluidity. The matching degree between the 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 improve the assurance of high-quality products during the production process and reduce rework or production delays caused by quality issues. By considering the second degree of fit (quality control capability), it can ensure that orders with high quality requirements are better handled during the production process, thereby reducing the defective product rate during production and improving the overall quality of the product. Scheduling based on the specific needs, production capacity, and quality requirements of each order, rather than simply sorting by time, can respond more quickly to market and customer needs. Integrating data from multiple dimensions (such as production efficiency, quality requirements, equipment capabilities, etc.) enables a more refined decision-making process and avoids 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 enhance the flexibility and responsiveness of the overall production system.

[0083] In one embodiment, the step S2 of obtaining the daily output of the pending PCB production order corresponding to the corresponding order number based on each of the aging information and product quantity information, and obtaining the quality requirement index of the pending PCB production order corresponding to the corresponding order number based on each of the product quality information and configuration information includes:

[0084] S21. Obtaining a delivery period based on the aging information, and obtaining a production cycle based on the delivery period;

[0085] S22. Obtain product category information of the first production characteristic information, and obtain the total production volume based on the product category information and product quantity information;

[0086] S23. Obtaining daily output according to the total production volume and production cycle;

[0087] S24. Acquire quality control indicators based on the product quality information, wherein the quality control indicators include tolerance range and accuracy requirements;

[0088] 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 requirements, wherein the calculation formula is:

[0089] ;

[0090] 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;

[0091] S26. Obtaining quality standards and process requirements based on the configuration information, and obtaining a production efficiency index based on the quality standards and process requirements;

[0092] S27. Obtain a quality requirement index based on the production process capability index and the production efficiency index.

[0093] 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 category information of the first production characteristic information, and obtains the total production volume based on the product category information and product quantity information, and then obtains the daily output based on the total production volume and the production cycle. Since traditional production scheduling methods usually sort 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. By analyzing the delivery period and production cycle, production can be arranged more accurately, reducing order delays caused by long production cycles or unreasonable production plans. By connecting production tasks with 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 punctuality rate can be reduced. Less waste. Calculating daily output based on total production volume and production cycle can more accurately evaluate the daily output of each product, thereby formulating a more appropriate production plan and avoiding 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 mean center deviation, upper specification limit, and lower specification limit are obtained based on the tolerance range. The production process capability index is calculated based on the mean center deviation, upper specification limit, lower specification limit, and precision requirements. By considering factors such as tolerance range, precision requirements, mean center deviation, 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 reduce the generation of defective products, lower 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, helping to ensure the consistency of the production process, thereby improving the controllability of product quality. Unlike the traditional method of sorting 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 high quality requirements or more difficult production processes, production is arranged first 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 needs 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 , high-difficulty orders affect production quality or delivery time due to being queued at the back, which can ensure that these high-requirement 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 production efficiency index based on quality standards and process requirements, and then obtain quality demand index based on production process capability index and production efficiency index. Among them, quality demand index is an indicator that comprehensively considers product quality requirements and production configuration information. It helps measure the strictness of quality standards that need to be achieved in the production process. The existing production scheduling method usually only sorts orders according to the order placement time. This method ignores the complexity of the order and the requirements for production process and quality. By introducing factors such as quality standards and process requirements, orders can be sorted based on 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 capabilities 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.

[0094] In one embodiment, the step S4 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 precision information, includes:

[0095] S41. Obtaining rated output, production capacity, and theoretical maximum output based on the production capacity information;

[0096] S42. Obtaining comprehensive production capacity based on the rated output, production capacity, and theoretical maximum output;

[0097] S43. Obtaining actual operating time, equipment availability time, and maintenance fault time based on the equipment utilization rate;

[0098] S44. Obtaining an effective operation rate of the equipment based on the actual operation time, the equipment availability time, and the maintenance failure time, and obtaining a production operation efficiency based on the effective operation rate and the comprehensive production capacity;

[0099] S45. Obtaining a device stability index according to the type information, and obtaining a production mean offset according to the device stability index;

[0100] S46. Obtaining an equipment standard deviation according to the production accuracy information, and obtaining a quality control capability index according to the equipment standard deviation and the production mean offset.

[0101] 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 operating rate based on the actual operating time, equipment available time and maintenance fault time, and then obtains the production operation efficiency through the effective operating rate and comprehensive production capacity, wherein the production operation efficiency generally refers to the ratio of the actual production volume of the equipment to the theoretical production volume within a certain period of time, 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 prioritization. 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 availability time and maintenance failure time, the production plan can be reasonably arranged to make each production link as efficient 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 time of equipment idleness and unplanned downtime 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 quality control capability index measures whether the equipment can stably produce qualified products within the specification range during the production process. A higher Cpk value indicates a more stable production process and is capable of operating at a higher quality level. The equipment stability index, production mean offset, and standard deviation can be used to evaluate and predict equipment stability and accuracy, avoiding production fluctuations caused by equipment instability. Based on this information, the production sequence can be adjusted to ensure that orders with higher precision requirements are prioritized, thereby reducing quality fluctuations and rework in later production. Combined with the quality control capability index, a quantitative analysis of the equipment's production accuracy and stability can be performed to help identify which orders may be limited by equipment capacity, preventing low-quality orders from being scheduled later in production and ensuring the quality consistency of delivered products. By comprehensively considering equipment stability and production deviation, the priority of production tasks can be dynamically adjusted to avoid delays caused by large equipment errors or instability due to late scheduling of certain orders requiring higher precision. Therefore, optimizing scheduling by combining equipment stability and production accuracy information helps to improve the scientific nature of production scheduling, ensure that high-quality orders are prioritized, while reducing production uncertainty and improving overall efficiency.

[0102] 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 indices includes:

[0103] S51, obtaining a maximum daily output and a minimum daily output according to each daily output;

[0104] S52. Obtaining a corresponding standardized daily output according to each of the daily outputs, the maximum daily output, and the minimum daily output;

[0105] S53, obtaining a maximum quality requirement index and a minimum quality requirement index according to each quality requirement index;

[0106] S54. Obtain 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;

[0107] S55. Obtain a first priority score corresponding to the order number according to each of the standardized quality requirement indexes and the standardized daily output;

[0108] S56. Sort the order numbers corresponding to the plurality of first priority scores in order of size to obtain a priority sorting table.

[0109] 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 arrangements are unreasonable due to the large or small daily output of some orders. By considering the standardization of orders Daily output can make the production schedule 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 in 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 the standardized quality demand index, it can ensure that the quality requirements are met. Under the premise of ensuring that low-quality orders do not affect the production progress of high-quality orders, the production process is optimized, and the occurrence of production stagnation or bottlenecks is reduced. This can improve overall production efficiency, enhance resource utilization, reduce production fluctuations, and enhance the stability of order delivery. It also reduces quality fluctuations and production bottlenecks caused by unreasonable order sequencing, ultimately achieving efficient, accurate, and flexible production scheduling. The first priority score of the corresponding order number is obtained by using each standardized quality requirement index and standardized daily output. The order numbers corresponding to multiple first priority scores are then sorted in order of size to obtain a priority ranking table. The traditional method of sorting orders by order placement time often ignores the actual production requirements of the order, such as the order's quality requirements and daily output. By using the standardized quality requirement index and standardized daily output, orders can be prioritized according to their actual production requirements, ensuring that high-quality and high-complexity orders are produced first. This 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 order time. By sorting 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 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, thereby improving overall production efficiency and corporate competitiveness.

[0110] In one embodiment, the step S6 of obtaining the corresponding first matching degree according to each of the daily output and the production operation efficiency includes:

[0111] S61. Obtain unit energy consumption according to the daily output, and obtain resource energy consumption according to the unit energy consumption;

[0112] S62. Obtaining device energy consumption (actual energy consumption) based on the resource energy consumption, and obtaining an influencing factor of the device energy consumption;

[0113] S63. Obtaining a maximum output capacity according to the production operation efficiency, and obtaining an actual output according to the maximum output capacity and the production operation efficiency;

[0114] S64. Obtaining equipment load according to the actual output, and obtaining theoretical energy consumption according to the equipment load and resource energy consumption;

[0115] S65. Calculate a first matching degree based on the device energy consumption, the impact factor, and the theoretical energy consumption, wherein the calculation formula is:

[0116] ;

[0117] Wherein, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the device energy consumption, and N(L) represents the theoretical energy consumption.

[0118] 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 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 based on maximum output capacity and production operation efficiency, obtains equipment load through actual output, and obtains theoretical energy consumption based on 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 sequence 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 with the influencing factor of the equipment, it can be 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 equipment load and adjusting production load according to actual output, it is possible to avoid situations where 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 production operation efficiency and maximum output capacity, it can be ensured that the production plan can maximize the output potential of the equipment. At the same time, based on the relationship between maximum output capacity and 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.

[0119] 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:

[0120] S71, sorting the plurality of production equipment in order of first matching degrees to obtain a first production equipment sorting table;

[0121] S72, sorting the plurality of production equipment in order of the second matching degrees to obtain a second production equipment sorting table;

[0122] S73. Obtaining order requirements for each PCB production order in sequence according to the priority ranking table, wherein the order requirements include urgent quality requirements and urgent timeliness requirements;

[0123] S74. If the order requirement of the PCB production order ranked first in the priority sorting table is an urgent quality requirement, the PCB production order is allocated to the production equipment ranked first in the second production equipment sorting table for production;

[0124] S75. 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 allocated to the production equipment ranked first in the first production equipment sorting table for production.

[0125] 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, and then 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 first determine whether the production equipment ranked first in the first production equipment sorting table is the same as 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 it is a duplicate, the PCB production order is assigned to the production equipment ranked second in the first production equipment sorting table for production. 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 production equipment with the first one is used for production, and the subsequent sorting and allocation are the same as the allocation method for the above-mentioned order requirements with urgent quality requirements. By sorting the production equipment according to the "first matching degree" and "second matching degree", it can be ensured that different equipment are reasonably allocated according to the priority of order requirements, thereby improving the utilization rate of equipment. By adopting the priority judgment and matching mechanism, the situation of 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 according to the order time. Even if the order is submitted later, if it has a higher urgent demand, it can also be placed. Can be arranged for processing with priority. The traditional production method of sorting 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 of quality and timeliness), orders can be more reasonably allocated to the production plan, reducing production bottlenecks caused by delayed processing of certain orders. In general, 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.

[0126] This application also provides a PCB production order management system, including:

[0127] a first acquisition module, configured to acquire order numbers of a plurality of 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;

[0128] A second acquisition module is configured to acquire the daily output of the pending PCB production order corresponding to the corresponding order number based on each of the aging information and product quantity information, and to acquire the quality requirement index of the pending PCB production order corresponding to the corresponding order number based on each of the product quality information and configuration information;

[0129] a third acquisition module, configured to acquire equipment numbers of a plurality of 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;

[0130] A fourth acquisition module is configured to acquire the production operation efficiency of the production equipment corresponding to the corresponding equipment number based on 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 based on each of the type information and the production accuracy information;

[0131] A fifth acquisition module, configured to acquire a priority ranking table of order numbers according to the plurality of daily outputs and corresponding quality requirement indexes;

[0132] 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;

[0133] The scheduling module is used to 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.

[0134] In one embodiment, the fourth acquisition module includes:

[0135] A first acquisition unit is configured to acquire the rated output, production capacity, and theoretical maximum output according to the production capacity information;

[0136] A second acquisition unit is used to acquire comprehensive production capacity according to the rated output, production capacity and theoretical maximum output;

[0137] A third acquisition unit is used to acquire actual operation time, equipment availability time and maintenance fault time according to the equipment utilization rate;

[0138] a fourth obtaining unit, configured to obtain an effective operation rate of the equipment based on the actual operation time, the equipment available time, and the maintenance fault time, and to obtain a production operation efficiency based on the effective operation rate and the comprehensive production capacity;

[0139] a fifth acquiring 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;

[0140] A sixth acquisition unit is configured to acquire an equipment standard deviation according to the production accuracy information, and to acquire a quality control capability index according to the equipment standard deviation and a production mean offset.

[0141] 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.

[0142] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned PCB production order management method are implemented.

[0143] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. 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 DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct RAM bus dynamic RAM (DRDRAM), and RAM bus dynamic RAM (RDRAM).

[0144] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, apparatus, article, or method comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, apparatus, article, or method. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, apparatus, article, or method comprising the element.

[0145] 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 description 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 order according to each order number, wherein the first production feature information includes product quality information, configuration information, timeliness information, and product quantity information; Obtaining a delivery period based on the aging information, and obtaining a production cycle based on the delivery period; Obtaining product category information of the first production characteristic information, and obtaining the total production volume based on the product category information and product quantity information; Obtain daily output based on the total production volume and production cycle; Acquiring quality control indicators based on the product quality information, wherein the quality control indicators include tolerance ranges 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 accuracy requirements, 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; Obtaining quality standards and process requirements based on the configuration information, and obtaining a production efficiency index based on the quality standards and process requirements; Obtaining a quality requirement index based on the production process capability index and the production efficiency index; 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; 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; Obtaining actual operating time, equipment availability time, and maintenance failure time based on the equipment utilization rate; Obtaining the effective operation rate of the equipment based on the actual operation time, equipment availability time, and maintenance failure time, and obtaining the production operation efficiency based on the effective operation rate and comprehensive production capacity; Obtaining a device stability index according to the type information, and obtaining a production mean offset according to the device stability index; Obtaining a device standard deviation based on the production accuracy information, and obtaining a quality control capability index based on the device standard deviation and a production mean offset; Obtaining a priority ranking table of order numbers according to the plurality of daily production volumes and corresponding quality requirement indices; Obtaining unit energy consumption based on the daily output, and obtaining resource energy consumption based on the unit energy consumption; Obtaining device energy consumption based on 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 based on the actual output, and obtaining theoretical energy consumption based on the equipment load and resource energy consumption; A first matching degree is calculated according to the device energy consumption, the impact factor, and the theoretical energy consumption, wherein the calculation formula is: ； Wherein, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the equipment energy consumption, N(L) represents the theoretical energy consumption, and the corresponding second matching degree is obtained according to each of the quality requirement indexes 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 a priority ranking table of order numbers according to the plurality of daily outputs and corresponding quality requirement indexes includes: Obtaining a maximum daily output and a minimum daily output according to each of the daily outputs; Obtaining 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 for the corresponding 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.

3. 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 includes: 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 according to the order of the second matching degrees to obtain a second production equipment sorting table; Obtaining order requirements for each PCB production order in sequence according to the priority sorting table, wherein the order requirements include urgent quality requirements and urgent time requirements; If the order requirement of the PCB production order ranked first in the priority sorting table is an urgent quality requirement, 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.

4. A PCB production order management system, characterized in that: include: a first acquisition module, configured to acquire order numbers of a plurality of 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; A second acquisition module is used to acquire a delivery period according to the aging information, and to acquire a production cycle according to the delivery period; Obtaining product category information of the first production characteristic information, and obtaining the total production volume based on the product category information and product quantity information; Obtain daily output based on the total production volume and production cycle; Acquiring quality control indicators based on the product quality information, wherein the quality control indicators include tolerance ranges 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 accuracy requirements, 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; Obtaining quality standards and process requirements based on the configuration information, and obtaining a production efficiency index based on the quality standards and process requirements; Obtaining a quality requirement index based on the production process capability index and the production efficiency index; a third acquisition module, configured to acquire equipment numbers of a plurality of 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 obtain the 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; Obtaining actual operating time, equipment availability time, and maintenance failure time based on the equipment utilization rate; Obtaining the effective operation rate of the equipment based on the actual operation time, equipment availability time, and maintenance failure time, and obtaining the production operation efficiency based on the effective operation rate and comprehensive production capacity; Obtaining a device stability index according to the type information, and obtaining a production mean offset according to the device stability index; Obtaining a device standard deviation based on the production accuracy information, and obtaining a quality control capability index based on the device standard deviation and a production mean offset; A fifth acquisition module, configured to acquire a priority ranking table of order numbers according to the plurality of daily outputs and corresponding quality requirement indexes; a sixth acquisition module, configured to acquire unit energy consumption according to the daily output, and acquire resource energy consumption according to the unit energy consumption; Obtaining device energy consumption based on 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 based on the actual output, and obtaining theoretical energy consumption based on the equipment load and resource energy consumption; A first matching degree is calculated according to the device energy consumption, the impact factor, and the theoretical energy consumption, wherein the calculation formula is: ； Wherein, P(D1) represents the first matching degree, α represents the impact factor, N(S) represents the equipment energy consumption, N(L) represents the theoretical energy consumption, and the corresponding second matching degree is obtained according to each of the quality requirement indexes 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 first matching degrees, the plurality of second matching degrees and the priority sorting table.

5. 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 3 are implemented.

6. 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 3 are implemented.

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