CN116307649B

CN116307649B - Cable production process scheduling method, system, equipment and low-code development method

Info

Publication number: CN116307649B
Application number: CN202310588478.XA
Authority: CN
Inventors: 杨茵; 林进培; 于永; 陶孝康; 杨海金; 张强
Original assignee: Nanyang Cable Tianjin Co ltd
Current assignee: Nanyang Cable Tianjin Co ltd
Priority date: 2023-05-24
Filing date: 2023-05-24
Publication date: 2023-08-22
Anticipated expiration: 2043-05-24
Also published as: CN116307649A

Abstract

The application relates to a cable production procedure scheduling method, a system, equipment and a low code development method, which belong to the technical field of production manufacturing management, wherein the scheduling method comprises the following steps: responding to a simulated scheduling instruction of a workshop to be scheduled, and acquiring a plurality of order information belonging to the workshop to be scheduled in a pool to be scheduled; combining any two order information in the plurality of order information to generate a plurality of order combinations; respectively calculating the similarity between two order information in each order combination; if the similarity reaches a preset value, judging whether the two order information can be combined according to the order information; if yes, combining the two order information corresponding to the similarity reaching the preset value to generate combined order information; if at least two pieces of combined order information are formed by combining the same order information, combining the combined order information to generate new combined order information; and simulating scheduling according to the new combined order information, and generating a scheduling recommendation plan. The application improves the production efficiency.

Description

Cable production process scheduling method, system, equipment and low-code development method

Technical Field

The application relates to the technical field of production and manufacturing management, in particular to a cable production procedure scheduling method, a system, equipment and a low-code development method.

Background

Along with the development of economy, the improvement of information communication technology improves the traditional industry and develops intelligent manufacturing, and the improvement becomes an important development trend of manufacturing industry, brings deep influence on the development and division of industry patterns, and promotes the formation of new production modes, industry states and business modes. Industry upgrades industry, make every enterprise pay more and more attention to scientific management to realize circulated development, and urgent needs new generation information communication technology. Therefore, the comprehensive production management platform (ERP (Enterprise Resource Planning), enterprise resource planning) is widely applied, and the basic idea of the ERP system is to cooperatively manage and control the resources of the enterprise such as production, supply, sales, people, property, things and the like by selling the product, help the enterprise accurately arrange the production and purchase planning based on factors such as the manufacturing BOM, inventory, equipment productivity, purchase lead time, production lead time and the like of the product according to sales orders, help the enterprise realize efficient operation, ensure that the enterprise can deliver goods on time, and realize closed-loop management of business operation.

For manufacturing type enterprises of cable production, production plan management is an important link in enterprise management. The manufacturing execution system (MES, manufacturing execution system) contained in the ERP system is a workshop-level management system and is responsible for receiving a production plan issued by the ERP system, and scientifically arranging production according to various manufacturing processes of cables or parts required to be manufactured by workshops and actual conditions of production equipment.

In the actual production of the cable, in order to meet the requirements of the cable production process, various devices required according to the production flow are arranged in a production workshop. In the actual production scheduling of cable production, in order to reduce the number of times of starting and stopping the equipment and reduce the loss caused by the intermittence of equipment and personnel, different orders can be combined for production in an MES system if necessary, the process depends on experience of scheduling personnel, and the labor is consumed in the scheduling process and needs a large amount of calculation and verification, so that the scheduling efficiency is low, and the development of the efficient operation of enterprises is hindered to a certain extent.

Disclosure of Invention

In order to improve the production efficiency, the application provides a cable production procedure production method, a system, equipment and a low-code development method.

In a first aspect, the present application provides a cable production process scheduling method, which adopts the following technical scheme:

responding to a simulated scheduling instruction of a workshop to be scheduled, and acquiring a plurality of order information belonging to the workshop to be scheduled in a pool to be scheduled;

combining any two order information in the plurality of order information to generate a plurality of order combinations;

respectively calculating the similarity between the two order information in each order combination;

if the similarity reaches a preset value, judging whether the two order information can be combined according to the order information;

if yes, combining the two order information corresponding to the similarity reaching the preset value to generate combined order information;

if at least two pieces of the combined order information are formed by combining the same order information, combining the at least two pieces of the combined order information to generate new combined order information;

and simulating production scheduling according to the latest combined order information, and generating a production scheduling recommendation plan.

By adopting the technical scheme, the electronic equipment acquires order information from the to-be-scheduled production pool, selects two orders to determine the similarity, determines whether the order information can be combined according to the similarity, and when the order information can be combined, performs simulated production scheduling to obtain a production scheduling recommended plan, provides a production scheduling plan reference for a user, automatically gives a combinable order and a specific production scheduling plan for the user, reduces the manual production scheduling time of the user, and improves the production scheduling efficiency.

Further, the order information includes a cable model to be produced and delivery demand information, the delivery demand information includes a single bundle of cable length and/or printing information, and the similarity between the two order information in each order combination is calculated respectively, including any one of the following:

if the type of the cable to be produced and the delivery demand information of the two order information are the same, determining the similarity as a first preset value;

if the types of the cables to be produced of the two order information are the same and the delivery demand information is different, determining that the similarity is a second preset value;

if the cable types to be produced of the two order information are different, comparing the cable type combination of the two order information with the cable type combination in the preset cable type similarity list, and determining a third preset value corresponding to the cable type combination with the same comparison as the similarity.

By adopting the technical scheme, the electronic equipment analyzes according to the cable model to be produced and the delivery requirement corresponding to the two orders, and determines the corresponding similarity.

Further, the method for generating the cable model similarity list comprises the following steps:

Obtaining a producible cable model of a workshop to be produced;

determining process information corresponding to each process in the production process corresponding to each producible cable model; the process information comprises a process name and a production machine;

for a cable model combination formed by any two producible cable models, determining the quantity of identical procedure information of the two producible cable models in the cable model combination, calculating the ratio of the quantity of identical procedure information to the average value of the procedure quantity of the two producible cable models, and adding the ratio to a preset initial similarity value according to the ratio to obtain a first updated similarity value;

correcting the first updated similar value according to the number of the same procedure information and the rest procedures to obtain a second updated similar value;

determining the second updated similarity value as a third preset value of the cable model combination;

and generating the cable model similarity list according to a third preset value of the cable model combination.

By adopting the technical scheme, the electronic equipment determines the same procedure and different procedures according to the production procedures and the production machine of the two orders, determines the first added value according to the number of the same procedures, corrects the first updated similarity value according to the relation between the same procedure and the rest procedures, obtains a similarity list of the cable model combination by using the calculated second updated similarity value, obtains the similarity value for accurately measuring the similarity of the two orders, obtains a complete cable model similarity list which can be represented to a certain extent, and is convenient for subsequent calling.

Further, the correcting the first updated similarity value according to the number of the same process information and the remaining processes to obtain a second updated similarity value includes any one of the following steps:

if the number of the same procedure information is one, determining a negative value of the first updated similarity value as a change value; summing the change value and the first updated similar value to obtain a second updated similar value;

if the number of the same procedure information is at least two, respectively combining at least one procedure between two adjacent same procedure information of each producible cable model to obtain at least one combined procedure;

corresponding the combination procedures of the two producible cable models to obtain at least one combination procedure pair; wherein adjacent two identical process information corresponding to two combined processes in the combined process pair are identical;

estimating the average processing speed of each combined procedure according to the processing speed of each procedure in each combined procedure;

respectively judging whether the difference value of the average processing speed of each combination procedure pair is larger than a preset difference value; if yes, determining a preset negative value as a change value; otherwise, determining the preset positive value as a change value;

And summing the change values of all the combination procedure pairs with the first updated similarity value to obtain a second updated similarity value.

By adopting the technical scheme, the change value of a positive value or a negative value is obtained according to the processing speed difference value between different working procedures, and the similarity between two cable models is determined according to the simulation of cable production, so that finer data calculation is realized, and a similarity list with more reference values is obtained.

Further, the order information comprises the type and the production quantity of the cable to be produced; the determining whether two order information can be combined according to the order information includes:

acquiring process information corresponding to each cable model to be produced; the process information comprises a process name and a production machine;

calculating the completion time required for completing each process according to the processing speed and the production quantity of each process in each order;

determining the working procedure of applying the same production machine as the working procedure to be combined;

determining the process before the first process to be combined or between two adjacent processes to be combined as a group of conventional processes;

judging whether the difference value of the completion time of each group of corresponding conventional procedures of the two orders is not more than a preset difference value; if yes, determining that the two order information can be combined;

Otherwise, it is determined that the two order information cannot be merged.

Through adopting above-mentioned technical scheme, electronic equipment carries out the analysis through the process and the production board that the order corresponds, analyzes the process speed of every process, and then calculates the completion time of accomplishing every production process according to the production quantity, and then when the time difference of waiting to merge conventional process between the process is not greater than the difference in advance, confirm to merge, consequently in the middle of putting the order into actual production, with the angle of time difference, predict whether the production board can appear breaking off production's condition, consequently laminate actual simulation production more, obtain the judgement result that the credibility is higher.

Further, the simulating scheduling according to the latest combined order information to generate a scheduling recommendation plan includes:

determining the current procedure according to the order from head to tail;

judging whether the current working procedure is in a first working procedure or not;

if the first procedure is the first procedure, acquiring the idle time of a production machine of the current procedure, and calculating to obtain the production starting time of the current procedure according to the idle time and the preset first transition time;

if the process is not the first process, acquiring the end time of the last process of a production machine of the current process and the processing time of the last process, determining a second transition time according to the processing time, subtracting the second transition time from the end time, and calculating to obtain the production starting time of the current process;

Judging whether the current working procedure is a working procedure to be combined or not;

if yes, calculating the sum of the production numbers of the orders, and carrying out production scheduling on the current working procedure according to the sum of the production numbers and the number of production machines to obtain the completion time of the current working procedure;

if not, scheduling the current working procedure according to the number of the current orders and the number of the production machines to obtain the finishing moment of the current working procedure;

obtaining a scheduling recommendation plan of the current process according to the production starting time, the production machine and the completion time;

judging whether the next working procedure is scheduled according to the order sequence, if not, determining that the next working procedure is the current working procedure; if yes, repeatedly executing the step of judging whether the next working procedure is scheduled or not until the last working procedure is determined to be the current working procedure, and generating a scheduling recommended plan of each working procedure.

By adopting the technical scheme, the electronic equipment judges the process step by step according to the production sequence, the current process is the process to be combined, the combination simulation is carried out, the processing speed of the production machine and the production quantity are considered to calculate the completion time during the combination simulation, the first transition time and the second transition time are set for fitting the actual production, the more accurate and reliable completion time is obtained, the more real scheduling recommendation plan is recommended for the user, and the user scheduling time is saved.

Further, the method further comprises:

acquiring the actual production quantity of the current working procedure;

when the actual production quantity reaches the preset proportion of the preset quantity, displaying a scheduling recommendation plan comprising the current working procedure;

acquiring actual production conditions of the current working procedure and preset starting time in a production scheduling plan; the actual production condition comprises actual starting time and current production quantity;

if the difference value between the actual starting time and the preset starting time in the scheduling plan is not within the preset time difference value and the current production quantity does not reach the preset quantity, generating prompt information for updating the scheduling plan.

By adopting the technical scheme, the electronic equipment monitors the actual production process in real time, displays the scheduling recommendation plan according to the production progress, provides preparation for a user to adjust the scheduling plan, monitors the actual production process, generates prompt information when the production is not carried out according to the expected process, prompts the user to re-schedule, and improves the scheduling and production efficiency.

In a second aspect, the application provides a cable production process scheduling system, which adopts the following technical scheme:

a cable production process scheduling system comprising:

The order information acquisition module is used for responding to the simulated scheduling instruction of the workshop to be scheduled and acquiring a plurality of order information belonging to the workshop to be scheduled in the pool to be scheduled;

the combination module is used for combining any two order information in the plurality of order information to generate a plurality of order combinations;

the similarity judging module is used for respectively calculating the similarity between the two order information in each order combination;

the merging judgment module is used for judging whether the two order information can be merged according to the order information if the similarity reaches a preset value;

the order information combining module is used for combining the two order information corresponding to the similarity reaching a preset value when the combination judging module judges that the similarity is yes, and generating combined order information;

the order information updating module is used for updating the combined order information by combining the combined order information with other order combinations if the order information in the combined order information has other order combinations which can be combined;

and the scheduling recommendation plan generation module is used for carrying out simulated scheduling according to the combined order information to generate a scheduling recommendation plan.

By adopting the technical scheme, the order information acquisition module acquires order information from the pool to be scheduled, the combination module selects two orders, the similarity judgment module determines similarity, the combination judgment module determines whether the order information can be combined according to the similarity, and when the order information can be combined, the order information combination module, the order information updating module and the scheduling recommendation plan generation module perform simulated scheduling so as to obtain a scheduling recommendation plan, provide scheduling plan reference for a user, automatically give a combinable order and a specific scheduling plan for the user, reduce manual scheduling time of the user and improve scheduling efficiency.

In a third aspect, the present application provides a low code development method for a cable production process scheduling system.

Establishing an application model according to the functional requirements of each module in the cable production procedure scheduling system;

form and/or flow for realizing corresponding function requirements according to data table designer configuration in the application model;

according to the visual interface designer, designing a user interface and an interaction mode, and determining page layout and functional components of the application model;

carrying out event detail information configuration based on the function requirements according to a function designer, and carrying out association control on the event detail information according to the corresponding relation between pre-stored event types and back-end codes;

And responding to an application development configuration completion operation instruction, and generating an application file of the application model.

In a fourth aspect, the present application provides an electronic device, which adopts the following technical scheme:

an electronic device, comprising:

at least one processor;

a memory;

at least one computer program, wherein the at least one computer program is stored in the memory and configured to be executed by the at least one processor, the at least one computer program configured to: a cable production process scheduling method according to any one of the first aspect or a low-code development method of a cable production process scheduling system according to the third aspect is performed.

By adopting the technical scheme, the processor executes the computer program in the memory, acquires order information from the pool to be scheduled, selects two orders to determine similarity, determines whether the order information can be merged according to the similarity, and performs simulated scheduling to obtain a scheduling recommendation plan when the order information can be merged, so as to provide scheduling plan reference for a user, automatically give a mergeable order and a specific scheduling plan for the user, reduce manual scheduling time of the user and improve scheduling efficiency.

In summary, the present application includes at least one of the following beneficial technical effects:

1. acquiring order information from a pool to be scheduled, selecting two orders to determine similarity, determining whether the order information can be combined according to the similarity, and performing simulated scheduling to obtain a scheduling recommendation plan when the order information can be combined, providing scheduling plan reference for a user, automatically providing a combinable order and a specific scheduling plan for the user, reducing manual scheduling time of the user and improving scheduling efficiency;

2. the order is implemented in actual production, and whether the production machine is likely to be disconnected or not is predicted according to the angle of the time difference, so that the actual simulation production is more attached to obtain a judgment result with higher reliability;

3. and a low-code platform development system is used, so that development steps are simplified.

Drawings

Fig. 1 is a block diagram of a cable ERP system in an embodiment of the application.

Fig. 2 is a schematic flow chart of a cable production process scheduling method according to an embodiment of the application.

Fig. 3 is a block diagram of a cable production process scheduling system in an embodiment of the present application.

Fig. 4 is a flow chart of a low code development method of the cable production process scheduling system according to an embodiment of the application.

Fig. 5 is a block diagram of an electronic device in an embodiment of the application.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In this context, unless otherwise specified, the term "/" generally indicates that the associated object is an "or" relationship.

In an embodiment of the present application, to cooperatively manage the production, supply, sales, personnel, financial, and other resources of a cable enterprise, referring to fig. 1, a cable ERP system includes, but is not limited to, a decision analysis and support (Decision Analysis and Support, DAS) system, a marketing analysis (Marketing Analysis System, MAS) system, a chart analysis (GIS) system, a customer relationship management (Customer Relationship Management, CRM) system, and a manufacturing execution system (manufacturingexecution system, MES).

The decision analysis and support system provides data analysis of each dimension for the high-rise leader, accurately grasps and judges the production and operation states of enterprises, and adjusts in real time.

The marketing analysis system provides conditions such as order progress, inventory, shipping, receivable and refund for business personnel, and is convenient for the business personnel to know the conditions at any time through the Web (World Wide Web) or the mobile terminal APP (application).

The chart analysis system provides data analysis of two aspects of sales and production for a high-level, and the chart analysis system is displayed by a visual chart, is more visual and image, better knows the proportion relation and the change trend among the data, and makes reasonable deduction and prediction.

The customer relation management system provides record windows for visiting customers, communicating with the business and coordinating resources for business personnel, and meanwhile, a master leader can timely master visiting conditions, and coordinate resources to cooperate with the business to develop work when necessary under the conditions of project communication and the like.

The manufacturing execution system is used for producing data to be produced according to orders, providing a production scheduling interface for production planning personnel, recording the data of the whole production process, and having the functions of production scheduling, order progress recording and man-hour counting.

The manufacturing execution system specifically comprises modules such as data interaction sharing management, basic data management, plan scheduling management, production and manufacturing management, workshop inventory management, warehouse material management, workshop accounting management and the like.

And the data interaction sharing management module is used for: after order information is generated in the MAS system, the order information is sent to the MES system, the electronic equipment generates a pool to be produced, and the order information to be produced is stored in the pool to be produced; alternatively, the production planner may generate a semi-finished stock order and save it to the pool to be produced.

When the production planning personnel performs scheduling, if the order change or the information adjustment exists, the production planning personnel can double click the detail, the electronic equipment responds to the operation of a user, pops up an interface, stores the adjustment information of the user, selects order information from a pool to be scheduled, and plans to generate a scheduling plan and perform scheduling. And after the order information is completely discharged, the corresponding order information is eliminated from the pool to be discharged.

After the production in the workshop is completed, the captain inputs report data to the MES system, and the MES system generates order progress according to the report data and uploads the order progress to the ERP system, so that business personnel can inquire the order progress according to the MAS system. On the other hand, the MES system can calculate the wages according to the calculation rules according to the report work data and the statistics work hours.

A base data management module comprising: the finished product information file sub-module is used for generating main information from a finished product file of ERP; the material information file sub-module is used for inquiring statistical analysis and the like, and main information of the material information file sub-module is derived from a material file of ERP; the material classification file sub-module mainly establishes a plurality of material classifications for the class analysis of the bom materials; the semi-finished product information file sub-module is mainly used for workshop semi-finished product information management, warehouse-in and warehouse-out and other transfer; the production staff file sub-module is mainly used for workshop management, scheduling of working procedures, staff reporting and personnel statistics; the production equipment archive module is mainly used for workshop equipment management and counting the capacity of equipment.

A schedule management module comprising: the planning production-stock sub-module is used for stock production of semi-finished product stock in workshops, such as stock conductors, wire cores and the like; the planning production-first-pass sub-module is used for the production of the first-pass procedure of the finished product order; and the planning production-later sub-module is used for the production of all the working procedures except the first working procedure of the finished product order and the semi-finished product warehouse. Specifically, when scheduling production, a production planner creates a bill, inputs information such as market type, current working procedure, production workshop, production machine, production team, finishing time and the like, clicks and selects semi-finished product information or finished product information to be scheduled at detail items, fills the planned quantity into the semi-finished products, fills the production quantity into the finished products, inputs finishing time, submits flow after auditing, and further enters layer-by-layer approval; and sequentially transferring to a production scheduling interface and an approval process of the next process until the production scheduling approval of the last process is completed.

The plan scheduling management module further comprises: the plan production scheduling standing book inquiry submodule is used for tracing and counting production scheduling information and repairing missing; and the plan scheduling overall management sub-module is used for counting the completion and report conditions of the scheduling order.

A production execution module comprising: the machine station production reporting sub-module is used for reporting work after workshop statistics personnel or machine length production is completed, after the machine length creates a bill at the interface, selecting information such as the current working procedure to be reported, a production workshop, a production machine station, a production team, finishing time, a machine length, auxiliary workers and the like, and filling information such as the actual finishing number, the waste number, the actual finishing time, the material receiving, using and balance conditions, the auxiliary worker workload and the like; the machine product tracing sub-module is used for inquiring the product report work machine account; the machine yield summarizing sub-module is used for summarizing and counting machine labor reporting; and the daily output verification sub-module is used for verification statistics of machine station newspaper workers and preventing phenomena such as multi-newspaper, false newspaper and the like.

A shop inventory management module comprising: the semi-finished product warehouse-in sub-module is used for recording warehouse-in information of the semi-finished product after finishing, and is convenient for later-stage consulting and taking; the semi-finished product delivery sub-module is used for recording a leading record of semi-finished product production, and is convenient for later-stage reference; the semi-finished product dynamic inventory sub-module is used for counting the accounting situation of the semi-finished products, so that production planning personnel can conveniently conduct scheduling, and workshop management personnel can conveniently review the semi-finished products; and the semi-finished product receiving and dispatching ledger sub-module is used for counting the record of the semi-finished product in-out warehouse and rechecking the in-out warehouse.

Warehouse materials management module, including: the material inventory inquiry sub-module is used for inquiring the material inventory condition of the warehouse, and the data of the material inventory inquiry sub-module is derived from an ERP system; and the order-making material early warning sub-module is used for comparing the material consumption used in order making with the current stock consumption, generating early warning information when the difference reaches the early warning quantity, prompting a dispatcher to prepare materials in advance, and ensuring the normal production.

A plant accounting management module comprising: the product wage file sub-module is used for the construction of the wages of workshop workers and for the accounting of the wages of the workers; the auxiliary wage file sub-module is used for establishing an auxiliary wage file in a workshop and is used for workers to check wage; and the machine wage kernel operator module is used for making rules by the production department to calculate the working hours and wages of workers.

The embodiment of the application discloses a cable production process scheduling method, which is realized based on a manufacturing execution system and is executed by electronic equipment, wherein the electronic equipment can be a server or terminal equipment, the server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and a cloud server for providing cloud computing service. The terminal device may be, but is not limited to, a smart phone, a tablet computer, a desktop computer, etc. Referring to fig. 2, the method includes the following flow (step S101 to step S107):

Step S101: and responding to the simulated scheduling instruction of the workshop to be scheduled, and acquiring a plurality of order information belonging to the workshop to be scheduled in the pool to be scheduled.

Specifically, when order information is distributed, the electronic equipment divides according to the voltage type and the cable section corresponding to the order information. The cables of the same model have various different specifications, and are characterized by different voltage levels and section sizes of the cables. The cable voltage type includes low voltage cable, medium and low voltage cable, and high voltage cable; the cable cross-section includes a plurality of 0.5, 1.5, 2.5, 4, 6, 10, 16, 25, 35, 50, 70, 95, 120, 150, 185, 240 square, etc.

The cross-section sizes of the cables produced in different workshops are different, but the same model may be produced. For example, in the low-pressure product classification, there is provided a method for producing 6And the following product No. one workshop for producing 6-10%>Shop No. two for products and for producing 10 +.>And a workshop No. three of the product. Products of other voltage types are produced in different workshops according to similar rules.

In addition, in order to prepare the basic material, a conductor workshop is further arranged, and the conductor workshop can finish the procedures of stranded wire, bundle wire, wire drawing, fire resistance and the like of the cable, so as to finish the semi-finished product for standby. When the finished product is produced, the semi-finished product is continuously processed.

Therefore, when the electronic equipment automatically distributes the order information to the waiting pool of the corresponding waiting workshop for the scheduling of the scheduling, the production planning personnel can check all the order information in the waiting pool and perform the scheduling. Before the production scheduling is performed, a production planning person can click a simulated production scheduling key, and the electronic equipment responds to a simulated production scheduling instruction of a workshop to be scheduled, so that order information belonging to the workshop to be scheduled in the pool to be scheduled is acquired.

Step S102: any two order information in the plurality of order information are combined to generate a plurality of order combinations.

Further, the electronic device reduces the calculation amount in order to try to automatically merge orders, so that order information is analyzed in a combined mode.

For example, there are 4 orders A, B, C, D, and the resulting order combination has AB, AC, AD, BC, BD, BD.

Step S103: the similarity between the two order information in each order combination is calculated separately. Specifically, the order information includes a cable model to be produced and delivery demand information including a single bundle cable length and/or lettering information.

Step S103 includes any one of the following:

1. and if the cable types to be produced and the delivery demand information of the two orders are the same, determining the similarity as a first preset value.

2. If the types of the cables to be produced of the two orders are the same and the delivery demand information is different, the similarity is determined to be a second preset value.

3. If the cable types to be produced of the two orders are different, comparing the cable type combination of the two order information with the cable type combination in the preset cable type similarity list, and determining a third preset value corresponding to the cable type combination with the same comparison as the similarity.

If the types of the cables are the same in the same workshop, the production procedures are the same, on the basis, the delivery demand information is the same, the two orders are completely consistent, the merging production possibility is very high, and if the delivery demand information is different, the production flows are inconsistent only in the packaging stage, but the merging production possibility is still very high; however, when the cable types of the two orders are different, the corresponding production processes may be greatly different, and thus further analysis is required. Typically, the first preset value is greater than the second preset value and greater than the third preset value.

Further, in order to facilitate obtaining the third preset value, the method for generating the cable model similarity list includes (step S11 to step S16):

step S11: and obtaining the model of the producible cable in the workshop to be produced.

Step S12: determining corresponding procedure information of each procedure in the production procedures corresponding to each producible cable model; the process information comprises a process name and a production machine.

Specifically, the electronic device records process information corresponding to each process in the production process for each type of producible cable, and when the electronic device determines any type, the electronic device can directly determine relevant information. The number of the production machines can be multiple, the production recommendation in the embodiment of the application is not specific to a certain production machine, and the staff can set according to actual conditions.

Step S13: for a cable model combination formed by any two producible cable models, determining the quantity of identical procedure information of the two producible cable models in the cable model combination, calculating the ratio of the quantity of identical procedure information to the average value of the procedure quantity of the two producible cable models, and adding the ratio to a preset initial similarity value to obtain a first updated similarity value.

Specifically, in order to facilitate calculation, the embodiment of the present application sets the initial similarity value to 0, and calculates the initial similarity value in a manner of increasing the similarity value when the similarity is high and decreasing the similarity value when the similarity is low on the basis of the initial similarity value, but may also set a larger initial similarity value, and calculate the initial similarity value in a manner of decreasing the initial similarity value when the similarity is high and increasing the initial similarity value when the similarity is low.

The following description will be made with reference to specific examples, for example, in which a workshop is currently a workshop, there are orders for a cable a and orders for a cable B, the cable types are different, and the cable a is a three-core armored cable, and the cable B is a three-core unarmored cable. The production process of the cable A in a workshop comprises three layers of coextrusion, copper strip shielding, cabling, wrapping, isolating sleeves, armor and extruding an outer sheath, and the production process of the cable B comprises three layers of coextrusion, copper strip shielding, cabling, wrapping and extruding the outer sheath, wherein the production machines of the same procedures are the same, and the packaging procedures are related to delivery demand information, so that the packaging procedures are not counted.

The electronic device thus determines that the number of identical processes in the combination of cable models A and B is 5, and that the average of the number of two cable processes is 6, thus calculating the ratioAnd determining that the first increment value is equal to the ratio, and when the ratio has the fraction which is not divided, reserving one position after the fraction point by the electronic equipment to obtain the first increment value of 0.8.

Further, the electronic device obtains the updated first update similarity value of 0.8.

Step S14: and correcting the first updated similarity value according to the number of the same process information and the rest processes to obtain a second updated similarity value. The remaining steps are steps other than the same steps, and specifically include any of the following steps:

1) If the number of the same procedure information is one, determining a negative value of the first updated similarity value as a change value; and summing the change value with the first updated similarity value to obtain a second updated similarity value.

In general, the number of processes of the cable is greater than one, and when the number of the same process information is one, the merging production possibility of the two types of cables is low, so that when this situation exists, the second update similarity value may not be calculated in detail, and thus the change value is determined as a negative value of the first update similarity value, and the obtained second update similarity value is zero.

2) If the number of the same process information is at least two, the method includes (steps Sa to Se):

step Sa: and combining at least one procedure between two adjacent identical procedure information of each producible cable model to obtain at least one combined procedure.

As in the example described above, the electronic device combines two adjacent identical processes of cables a and B, namely, wrapping and extruding the outer jacket, with the process of cable a therebetween, namely, insulation and armor, to obtain a combined process. The combination process corresponding to the cable a can be regarded as 0 because the cable B has no combination process.

Step Sb: corresponding the combination procedures of the two producible cable models to obtain at least one combination procedure pair; wherein adjacent two identical process information corresponding to two combining processes in the combining process pair are identical.

For example, the combination process pair of the cable a and the cable B is: spacer + armor and 0.

Step Sc: and estimating the average processing speed of each combined procedure according to the processing speed of each procedure in each combined procedure.

Specifically, the electronic device can obtain rated capacity of the production machine corresponding to different working procedures, and further obtain the processing speed. For example, the electronic device may calculate the average processing speed of the insulation jacket and armor to be 10KM/h.

Step Sd: respectively judging whether the difference value of the average processing speed of each combination procedure pair is larger than a preset difference value; if yes, determining a preset negative value as a change value; otherwise, the preset positive value is determined as the change value.

Specifically, the electronic equipment is preset with a preset difference value, when the difference value is larger than the preset difference value, the production process of the two cables is too different and is not easy to combine, and a negative change value is determined; if the difference is not smaller than the preset difference, the production processes of the two cables are similar, the merging production possibility is high, and the positive change value is determined. The absolute value of the preset negative value is equal to the absolute value of the preset positive value.

For example, the electronic device is preset with a preset negative value of-0.1 and a preset positive value of 0.1, and when the preset difference is 2KM/h and the difference in average processing speed is 3KM/h, the electronic device determines that the variation value is-0.1.

Step Se: and summing the change values of all the combination procedure pairs with the first updated similarity value to obtain a second updated similarity value.

Specifically, in the whole production process of the cable, there may be a plurality of combination processes, so the electronic device sums the change value corresponding to each combination process with the first updated similarity value to obtain the second updated similarity value. For example, there is a change value of-0.1, and the first updated similarity value is 0.8, and the second updated similarity value is 0.7.

Step S15: and determining the second updated similarity value as a third preset value of the cable model combination.

Step S16: and generating a cable model similarity list according to a third preset value of the cable model combination.

Furthermore, the electronic device can obtain the cable model similarity list in advance, and query in the cable model similarity list when the cable model similarity list is needed.

Step S104: if the similarity reaches a preset value, judging whether the two order information can be combined according to the order information; if the similarity cannot reach the preset value, determining that the two order information cannot be combined.

Specifically, when the similarity reaches a preset value, the possibility of the combined production of the order information is higher, whether the combination is possible or not is further judged, and otherwise, the fact that the possibility of combining the two current order information is low is determined. The preset value is set according to actual needs.

If the electronic device determines that the step S104 is yes, executing step S105 and step S106; if not, step S107 is executed: it is determined that no merging can be performed.

Specifically, when the electronic device determines that the two orders cannot be combined, the current two order combinations are disassembled and marked to prevent the recombination.

Step S105: and merging the two order information corresponding to the similarity reaching the preset value to generate merged order information.

Step S106: if the at least two pieces of combined order information are formed by combining the same order information, combining the at least two pieces of combined order information to generate new combined order information.

Specifically, if the combined order information is a+b, b+c, both of the combined order information are combined from the order information B, at this time, a+b and b+c need to be combined, and note that the same order information B cannot be repeated, for example, C is combined with the combined order information a+b, or a is combined with the combined order information b+c.

Further, step S104 includes (step S1041 to step S1045):

step S1041: acquiring process information corresponding to each cable model to be produced; the process information comprises a process name and a production machine.

Step S1042: and calculating the completion time required for completing each process according to the processing speed and the production quantity of each process in each order.

Specifically, the electronic equipment divides the production quantity by the processing speed, and the completion time for completing the production process can be calculated. When there are a plurality of production machines, the processing speed is calculated in multiple times.

Step S1043: and determining the working procedure of applying the same production machine as the working procedure to be combined.

Specifically, taking an order with a cable C and an order with a cable D as examples, the procedure of the cable a includes cabling, wrapping, isolating sleeve, armor, extruding an outer sheath and packaging, and the procedure of the cable B includes copper tape shielding, cabling, wrapping, extruding an outer sheath and packaging, wherein the production machines of the same procedures are the same, and the delivery requirements are different, namely, the packaging processes are different.

Thus, cabling, wrapping, extruding an outer jacket, and packaging therein are the processes to be consolidated.

Step S1044: the process steps located before the first process step to be combined or between two adjacent process steps to be combined are determined as a set of conventional process steps.

As in the above example, copper tape shielding is one set of conventional procedures and insulation and armor is another set of conventional procedures.

Step S1045: judging whether the difference value of the completion time of each group of corresponding conventional procedures of the two orders is not more than a preset difference value; if yes, determining that the two orders can be combined; otherwise, it is determined that the two orders cannot be merged.

Specifically, the electronic apparatus first calculates the completion time based on the processing speed and the production quantity of the conventional process. If the difference is not greater than a preset value, the possibility of combining the two orders is high, for example, the copper strip shielding of the cable B can be completed before the cable A is produced, and the cable B can be subjected to the cabling process by using a production machine after the cable A is produced. If the difference is greater than the preset value, for example, after the completion of the cabling process for producing cable a, the copper tape shielding of cable B cannot be completed completely, and even if the copper tape shielding of cable B has been completed partially and entered the cabling process, the completion speed of the copper tape shielding is difficult to supply to the cabling process, and at this time, the possibility of waiting for intermittent or shutdown of the cabling equipment is present, and it is determined that the orders cannot be consolidated. The preset value can be set according to actual conditions and can be set empirically by production planners.

Step S107: and simulating production scheduling according to the latest combined order information, and generating a production scheduling recommendation plan. Comprising (step S1071 to step S1081):

step S1071: the current process is determined in the order from head to tail for each order.

Specifically, take cable a and cable B orders as examples:

cable a: three layers of coextrusion, copper strip shielding, cabling, wrapping, isolating sleeve, armor, extrusion outer sheath and packaging;

the production process of the cable B comprises three layers of coextrusion, copper strip shielding, cabling, wrapping, extruding an outer sheath and packaging.

The electronic device determines that the current process is three-layer coextrusion.

Step S1072: judging whether the current process is in the first process or not; if yes, go to step S1073; otherwise, step S1074 is performed.

Step S1073: the idle time of the production machine of the current process is obtained, and the production starting time of the current process is calculated according to the idle time and the preset first transition time.

Specifically, the current process is the first process, and the idle time of the current production machine needs to be considered to start to put into production, so that the electronic equipment obtains the idle time of the production machine through the ERP system. The preset first transition time is a reserved time for preparation, emergency and the like.

Step S1074: the end time of the last process of the production machine of the current process and the processing time of the last process are obtained, the second transition time is determined according to the processing time, the end time is subtracted from the second transition time, and the production starting time of the current process is obtained through calculation.

Specifically, if the current process is copper strip shielding, the last process is three-layer coextrusion, and the electronic equipment obtains the ending time of completing the three-layer coextrusion. The processing time length can be calculated according to the division of the production quantity and the processing speed of the corresponding production machine. In order to realize continuous production, the next process can be started when the last process is two thirds of the time, so that the waiting time is saved, and the possibility of production interruption is reduced. Therefore, the electronic device calculates the processing time length and the preset ratio, such as two thirds, to obtain the second transition time, so that the second transition time is before the end time, and the current process can be started.

Step S1075: judging whether the current working procedure is a working procedure to be combined or not; if yes, go to step S1076; otherwise, step S1077 is performed.

Step S1076: and calculating the sum of the production numbers of the two orders, and scheduling the current working procedure according to the sum of the production numbers and the number of production machines to obtain the completion time of the current working procedure.

Specifically, the current process is a process to be combined, and can be produced simultaneously, and the current process is distributed to the production machines for production according to the sum of the production quantity, and when a plurality of production machines exist, the production machines are synchronously produced.

Step S1077: and scheduling the current working procedure according to the number of the current orders and the number of the production machines to obtain the completion time of the current working procedure.

Step S1078: and obtaining a scheduling recommendation plan of the current working procedure according to the production starting time, the production machine and the finishing time.

Specifically, the electronic device generates a visual chart by using the GIS system, and identifies the production machine and the completion time of each process from the start of production.

Step S1079: according to the order, it is determined whether the next process has already been scheduled, and if not, step S1080 is executed: determining the next process as the current process; if yes, step S1081 is executed: and repeatedly executing the step of judging whether the next working procedure is scheduled or not until the last working procedure is determined to be the current working procedure, and generating a scheduling recommended plan of each working procedure.

Specifically, for example, when order B is to be produced, after the completion of the production around the cladding, the outer sheath is extruded, and the outer sheath is extruded as a process to be combined, so that when order B is produced, the process of extruding the outer sheath of order a is produced together. Therefore, when the production A is performed, if the current process is armor, the next process is extrusion of the outer sheath, namely, the next process is performed, and at the moment, the process moves to the next process until the process of not performing production is determined, so that the production of all the processes is completed.

In one embodiment, the electronic device automatically displays the scheduling recommendation plan related to the current process for reference by the user while the scheduling plan is being performed.

In another embodiment: acquiring the actual production quantity of the current working procedure; and when the actual production quantity reaches the preset proportion of the preset quantity, displaying the scheduling recommendation plan comprising the current working procedure.

At this time, during the production process, the scheduling plan may need to be adjusted in real time, so the electronic device may automatically monitor the actual production progress and display the plan, and give a recommendation when the user needs to make an adjustment.

Specifically, the electronic device may perform scheduling with reference to the scheduling recommendation plan, or directly use the scheduling recommendation plan to perform adaptive correction, so as to obtain a corrected scheduling plan.

In another possible implementation manner, the method further includes (step S21 to step S22):

step S21: acquiring actual production conditions of the current working procedure and preset starting time in a production scheduling plan; the actual production situation includes the actual start time and the current production quantity.

Specifically, the electronic equipment acquires related data of actual production conditions according to the MES system, and stores a scheduling plan determined by a user, so as to acquire preset starting time of a current process in the scheduling plan.

Step S22: if the difference value between the actual starting time and the preset starting time in the scheduling plan is not within the preset time difference value and the current production quantity does not reach the preset quantity, generating prompt information for updating the scheduling plan.

Specifically, when the actual production does not reach the preset target, the prompt information of the updated scheduling plan generated by the electronic equipment can prompt the production planning personnel to update the scheduling in time.

In order to better perform the above method, the embodiment of the present application further provides a cable production process scheduling system, and in addition to the above various modules, referring to fig. 3, the cable production process scheduling system 200 further includes:

an order information obtaining module 201, configured to obtain, in response to a simulated scheduling instruction of a workshop to be scheduled, a plurality of order information belonging to the workshop to be scheduled in a pool to be scheduled;

a combination module 202, configured to combine any two order information in the plurality of order information to generate a plurality of order combinations;

a similarity calculating module 203, configured to calculate a similarity between two order information in each order combination;

the merging judgment module 204 is configured to judge whether two orders can be merged according to the order information when the similarity reaches a preset value;

The order information merging module 205 is configured to merge two order information corresponding to the similarity reaching the preset value to generate merged order information when the merging judgment module 204 judges that the two order information are yes;

a merging order information updating module 206, configured to, when at least two merging order information are formed by merging the same order information, merge the at least two merging order information to generate new merging order information;

the scheduling recommendation plan generating module 207 is configured to perform simulated scheduling according to the latest combined order information, and generate a scheduling recommendation plan.

The similarity determining module 203 is specifically configured to:

if the cable type to be produced and the delivery demand information of the two order information are the same, determining the similarity as a first preset value;

if the types of the cables to be produced of the two order information are the same and the delivery demand information is different, determining the similarity as a second preset value;

The cable production process scheduling system 200 further includes a similarity list generating module, specifically configured to:

obtaining a producible cable model of a workshop to be produced;

determining corresponding procedure information of each procedure in the production procedures corresponding to each producible cable model; the process information comprises a process name and a production machine;

for a cable model combination formed by any two producible cable models, determining the quantity of identical procedure information of the two producible cable models in the cable model combination, calculating the ratio of the quantity of identical procedure information to the average value of the procedure quantity of the two producible cable models, and adding the ratio to a preset initial similarity value to obtain a first updated similarity value;

correcting the first updated similarity value according to the number of the same process information and the rest processes to obtain a second updated similarity value;

and generating a cable model similarity list according to a third preset value of the cable model combination.

The similarity list generation module corrects the first updated similarity value according to the number of the same process information and the remaining processes to obtain a second updated similarity value, and the similarity list generation module comprises any one of the following steps:

If the number of the same procedure information is one, determining a negative value of the first updated similarity value as a change value; summing the change value and the first updated similarity value to obtain a second updated similarity value;

if the number of the same process information is at least two, respectively combining at least one process between two adjacent same process information of each producible cable model to obtain at least one combined process;

corresponding the combination procedures of the two producible cable models to obtain at least one combination procedure pair, wherein adjacent two identical procedure information corresponding to the two combination procedures in the combination procedure pair are identical;

The merging judgment module 204 is specifically configured to:

otherwise, it is determined that the two order information cannot be merged.

The scheduling recommendation generation module 206 is specifically configured to:

determining the current procedure according to the order from head to tail;

judging whether the current process is in the first process or not;

if the first working procedure is not performed, acquiring the end time of the last working procedure of the production machine of the current working procedure and the processing time of the last working procedure, determining the second transition time according to the processing time, subtracting the second transition time from the end time, and calculating to obtain the start production time of the current working procedure;

if yes, calculating the sum of the production numbers of the orders, and scheduling the current working procedure according to the sum of the production numbers and the number of production machines to obtain the completion time of the current working procedure;

obtaining a scheduling recommendation plan of the current working procedure according to the production starting time, the production machine and the finishing time;

judging whether the next process has been scheduled according to the order sequence, if not, determining the next process as the current process; if yes, repeatedly executing the step of judging whether the next working procedure is scheduled or not until the last working procedure is determined to be the current working procedure, and generating a scheduling recommended plan of each working procedure.

The cable production process scheduling system 200 further includes a display module, specifically configured to:

acquiring the actual production quantity of the current production procedure;

and when the actual production quantity reaches the preset proportion of the preset quantity, displaying the scheduling recommendation plan comprising the current production procedure.

The cable production process scheduling system 200 further includes:

The actual production acquisition module is used for acquiring the actual production condition of the current working procedure and the preset starting time in the production scheduling plan, wherein the actual production condition comprises the actual starting time and the current production quantity;

the prompting module is used for generating prompting information for updating the scheduling plan when the difference value between the actual starting time and the preset starting time in the scheduling plan is not within the preset time difference value and the current production quantity does not reach the preset quantity.

The various modifications and specific examples of the method in the foregoing embodiment are equally applicable to the cable production process scheduling system of the present embodiment, and the implementation method of the cable production process scheduling system of the present embodiment will be apparent to those skilled in the art from the foregoing detailed description of the cable production process scheduling method, so that the detailed description will not be given here for the sake of brevity.

The embodiment of the application provides a low-code development method of a cable production procedure scheduling system.

A Low Code Development Platform (LCDP) is a development platform that can quickly generate an application program without encoding (0 code) or with a small amount of code. By means of the method for developing the application program through visualization, developers with different experience levels can use a drag component and model-driven logic to create web pages and mobile application programs through a graphical user interface.

When the cable production procedure scheduling system in the embodiment of the application is established, any low-code development platform is applied to establish, so that the system is simple and quick, and a large number of codes are not required to be used.

The process is executed by the electronic device, and referring to fig. 4, the process includes the following steps (step S301 to step S305):

step S301: and building an application model according to the functional requirements of each module in the cable production procedure scheduling system.

Specifically, the user builds an application model for each module according to the requirements, and refines the application model to realize the corresponding functions.

Step S302: forms and/or flows for implementing corresponding functional requirements in the application model according to the data sheet designer configuration.

Specifically, the electronic device responds to the establishment instruction of the user, and the electronic device generates a form or a flow by using the data table designer.

Step S303: and determining the page layout and the functional components of the application model according to the user interface and the interaction mode designed by the visual interface designer.

Specifically, the electronic device responds to the operation design of the user on the interface, so that the visual interface designer completes the page layout, the appearance of the functional components and the like.

Step S304: and configuring event detail information based on function requirements according to a function designer, and performing association control on the event detail information according to the corresponding relation between pre-stored event types and back-end codes.

The user determines the event detail information according to the functions of each module, and then, according to the event types required when the detail information is realized, such as comparison, addition, subtraction, proportion calculation, list generation and the like.

The user designs each module, list, form and examination and approval form interface according to the service requirement, the interface designer is realized in a visual 'drag' mode, the user is allowed to customize the interface layout according to the self requirement, the module consists of various packaged event modules, the list supports the conventional form and combined form head design, the overall layout of the form interface is realized, and meanwhile, the specific form interaction effect can be realized through self definition according to the service requirement; the user sets an approval form according to the approval requirement, and the whole layout of the approval form is realized by introducing fields, interface layout design and other operations.

Step S305: and responding to the application development configuration completion operation instruction, and generating an application file of the application model.

In the operation, after the interface is designed, the interface is generated through the back-end java logic and then is stored in the appointed path, and the related business logic is bound by a front-end method and a back-end method packaged by the system and is stored in the database. When a user initiates a service, the interface queries a system background table according to the function id, renders and queries the interface according to the logic relation in the function table, and the front end renders the interface to present buttons, lists, forms, examination and approval forms and the like after receiving the response; because the universal button events are packaged and configurable events, different functions can be realized in different business processes.

To better implement the above method, an embodiment of the present application provides an electronic device, referring to fig. 5, an electronic device 400 includes: a processor 401, a memory 403 and a display 405. Wherein the memory 403 and the display 405 are both coupled to the processor 401, such as via a bus 402. Optionally, the electronic device 400 may also include a transceiver 404. It should be noted that, in practical applications, the transceiver 404 is not limited to one, and the structure of the electronic device 400 is not limited to the embodiment of the present application.

The processor 401 may be a CPU (Central Processing Unit ), general purpose processor, DSP (Digital Signal Processor, data signal processor), ASIC (Application Specific Integrated Circuit ), FPGA (Field Programmable Gate Array, field programmable gate array) or other programmable logic device, transistor logic device, hardware components, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. Processor 401 may also be a combination that implements computing functionality, such as a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.

Bus 402 may include a path to transfer information between the components. Bus 402 may be a PCI (Peripheral Component Interconnect, peripheral component interconnect standard) bus or EISA (Extended Industry Standard Architecture ) bus, among others. Bus 402 may be divided into an address bus, a data bus, a control bus, and the like.

The Memory 403 may be, but is not limited to, ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, RAM (Random Access Memory ) or other type of dynamic storage device that can store information and instructions, EERPOM (Electrically Erasable Programmable Read Only Memory ), CD-ROM (Compact Disc Read Only Memory, compact disc Read Only Memory) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 403 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 401. The processor 401 is arranged to execute application code stored in the memory 403 for implementing what is shown in the foregoing method embodiments.

The electronic device 400 shown in fig. 5 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.

The above embodiments are not intended to limit the scope of the present application, so: all equivalent changes in structure, shape and principle of the application should be covered in the scope of protection of the application.

In addition, it is to be understood that relational terms such as first and second are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

Claims

1. A cable production process scheduling method, comprising:

simulating production scheduling according to the latest combined order information to generate a production scheduling recommendation plan;

the order information comprises a cable model to be produced and delivery demand information, the delivery demand information comprises a single bundle of cable length and/or printing information, and the similarity between the two order information in each order combination is calculated respectively, wherein the method comprises any one of the following steps:

if the cable types to be produced of the two order information are different, comparing the cable type combination of the two order information with the cable type combination in a preset cable type similarity list, and determining a third preset value corresponding to the cable type combination with the same comparison as the similarity;

the generation method of the cable model similarity list comprises the following steps:

obtaining a producible cable model of a workshop to be produced;

for a cable model combination formed by any two producible cable models, determining the quantity of identical procedure information of the two producible cable models in the cable model combination, calculating the ratio of the quantity of identical procedure information to the average value of the procedure quantity of the two producible cable models, and adding the ratio with a preset initial similarity value to obtain a first updated similarity value;

generating the cable model similarity list according to a third preset value of the cable model combination;

and correcting the first updated similarity value according to the number of the same process information and the rest processes to obtain a second updated similarity value, wherein the second updated similarity value comprises any one of the following steps:

2. The method of claim 1, wherein the order information includes a cable model number to be produced and a production quantity; the determining whether two order information can be combined according to the order information includes:

otherwise, it is determined that the two order information cannot be merged.

3. The method of claim 1, wherein the generating a production recommendation plan based on the simulated production based on the most current consolidated order information comprises:

determining the current procedure according to the order from head to tail;

judging whether the next working procedure has performed production scheduling according to the order sequence; if not, determining the next working procedure as the current working procedure; if yes, repeatedly executing the step of judging whether the next working procedure is scheduled or not until the last working procedure is determined to be the current working procedure, and generating a scheduling recommended plan of each working procedure.

4. The method according to claim 1, wherein the method further comprises:

acquiring the actual production quantity of the current working procedure;

acquiring the actual production condition of the current working procedure; the actual production condition comprises actual starting time and current production quantity;

if the difference value between the actual starting time and the preset starting time in the scheduling recommendation plan is not within the preset time difference value and the current production quantity does not reach the preset quantity, generating prompt information for updating the scheduling plan.

5. A cable production process scheduling system, comprising:

the scheduling recommendation plan generation module is used for simulating scheduling according to the combined order information to generate a scheduling recommendation plan;

The order information comprises a cable model to be produced and delivery demand information, the delivery demand information comprises single bundle cable length and/or printing information, and the similarity judging module is specifically used for:

the system further comprises a similarity list generation module, which is specifically used for:

obtaining a producible cable model of a workshop to be produced;

6. A low code development method applied to the cable production process scheduling system of claim 5, comprising:

7. An electronic device, comprising:

at least one processor;

a memory;

at least one computer program, wherein the at least one computer program is stored in the memory and configured to be executed by the at least one processor, the at least one computer program configured to: a cable production process scheduling method according to any one of claims 1 to 4 or a low code development method according to claim 6 is performed.