CN114723343B

CN114723343B - Outside-commission intelligent processing platform and method for procedure of printed and packaged product

Info

Publication number: CN114723343B
Application number: CN202210629220.5A
Authority: CN
Inventors: 李静; 史太川; 张国华; 张研; 吕伟
Original assignee: Anhui Antai New Style Packaging Materials Co ltd; Shenzhen Jinjia Group Co Ltd
Current assignee: Anhui Antai New Style Packaging Materials Co ltd; Shenzhen Jinjia Group Co Ltd
Priority date: 2022-06-06
Filing date: 2022-06-06
Publication date: 2022-11-22
Anticipated expiration: 2042-06-06
Also published as: CN114723343A

Abstract

The invention discloses a process outsourcing intelligent processing platform and a process outsourcing intelligent processing method for printing and packaging products, wherein the process outsourcing intelligent processing platform comprises the following steps: confirming whether the target process needs outgoing processing or not; selecting a supplier with the highest matching degree with the target process from a supplier library as a target supplier; sending an outbound shipping slip for the target process to the target supplier, including process information and a process plan; receiving progress information and product information uploaded by a target supplier through a supplier end; monitoring the production progress of the target supplier according to the progress information and the process plan, feeding back a progress monitoring result, monitoring the production quality of the outgoing product according to the product parameter information and the process information, and feeding back a quality monitoring result. The process information and the process plan are synchronously sent in the process outside the process commission, the reserved interface receives the progress information and the product information uploaded by the supplier, real-time and objective progress and quality supervision is realized, the potential risks of the progress and the quality in the production process outside the commission can be timely found, and the risk outside the process commission is reduced.

Description

Outside-commission intelligent processing platform and method for procedure of printed and packaged product

Technical Field

The invention relates to the technical field of package printing, in particular to a process outsourcing intelligent processing platform and method for printing a packaged product.

Background

The package printing is printing with various packaging materials as carriers, and decorative patterns, patterns or characters are printed on the packages, so that the products are more attractive or descriptive, and the effects of transmitting information and increasing sales volume are achieved, including printing of packaging cartons, packaging bottles, packaging cans and the like.

With the diversification of printed packaging products, people put higher requirements on the production process and design effect of various printed packaging products, the production pressure of packaging and printing enterprises is higher and higher, certain procedures are likely to be impossible for the enterprises to produce when the enterprises meet the reasons of production capacity or process limitation, and outsourcing is required to be carried out by searching outsourcing manufacturers.

In the existing process commission management, supplier selection is usually determined manually according to existing customer information and experience, the supervision processes such as schedule and quality inspection in the process commission are usually required to be carried out when products are delivered, production problems are difficult to find in time in the process commission, the supervision processes are usually carried out manually, objectivity is lacked, efficiency is low, conditions such as schedule delay or waste responsibility judgment dispute are likely to be caused, and the risk of process commission is increased.

Disclosure of Invention

In view of the above-mentioned shortcomings of the prior art, the present invention aims to provide an intelligent process platform and method for outsourcing a process of a printed and packaged product, which aims to improve the objectivity and efficiency of supervision for outsourcing the process in the printed and packaged product and reduce the risk of outsourcing the process.

The technical scheme of the invention is as follows:

the utility model provides a process outsourcing intelligence processing platform of printed packaging product, includes outsourcing confirmation module, selection module, outgoing module, interface module, progress monitoring module and quality monitoring module, wherein:

the outsourcing confirmation module is used for confirming whether the target process needs to be subjected to outgoing processing or not;

the selection module is used for selecting a supplier with the highest matching degree with the target process as a target supplier in a supplier library when the target process is confirmed to need to be sent out;

the outbound module is used for sending an outbound transfer bill of the target process to the target supplier, and the outbound transfer bill contains process information and a process plan;

the interface module is used for receiving progress information and product information uploaded by the target supplier through a supplier end;

the progress monitoring module is used for monitoring the production progress of the target supplier according to the progress information and the process plan and feeding back a progress monitoring result;

and the quality monitoring module is used for monitoring the production quality of the outgoing products according to the product information and the process information and feeding back a quality monitoring result.

In one embodiment, the outsourcing confirmation module is specifically configured to determine whether the current production capacity meets the capacity requirement and the process requirement of the target process, and if not, confirm that the target process is outgoing.

In one embodiment, the selection module comprises:

the acquisition unit is used for acquiring the capacity requirement and the process requirement of the target process;

the primary screening unit is used for screening all alternative suppliers meeting the capacity requirement and the process requirement in the supplier library;

the matching unit is used for acquiring the historical outsourcing information, the capacity information and the process information of each alternative supplier and matching the capacity information, the capacity information and the process information with the capacity requirement and the process requirement of the target process to obtain the historical matching degree, the capacity matching degree and the process matching degree of each alternative supplier;

and the selecting unit is used for calculating the comprehensive matching degree according to a preset selection strategy according to the history matching degree, the productivity matching degree and the process matching degree of each alternative supplier and confirming the alternative supplier with the highest comprehensive matching degree as the target supplier.

In one embodiment, the progress monitoring module includes:

the node confirmation unit is used for confirming the plan node where the current node is located according to the current time and the process plan;

the progress monitoring unit is used for matching and monitoring the progress information with the plan node and judging whether the production progress of the current target supplier meets the requirement of the plan node or not;

and the early warning unit is used for feeding back progress early warning information when the production progress of the target supplier does not meet the requirement of the plan node.

In one embodiment, the quality monitoring module comprises:

the parameter acquisition module is used for acquiring the standard parameters of the target process from the process information;

the parameter comparison module is used for performing parameter identification on the product information and comparing the identified product parameters with the standard parameters to obtain parameter comparison results;

and the quality monitoring unit is used for confirming whether the product quality of the current target supplier is qualified or not according to the parameter comparison result and recording a quality monitoring result.

In one embodiment, the processing platform further comprises:

the analysis module is used for analyzing whether the rejection rate of the current quality inspection exceeds the expected rejection rate range according to the quality monitoring result when the quality inspection is carried out on the received outgoing products;

and the quality early warning module is used for outputting the quality early warning information of the target supplier when the rejection rate exceeds the expected rejection rate range.

In one embodiment, the processing platform further comprises:

the system comprises a crawling module, a processing module and a display module, wherein the crawling module is used for crawling process updating data and supplier updating data corresponding to the process updating data at preset time intervals;

and the recommending module is used for carrying out priority ordering on all the new process suppliers according to the supplier updating data and outputting the recommending information of each new process supplier according to the priority ordering result.

In one embodiment, the processing platform further comprises:

and the transferring module is used for judging whether the outgoing product is a finished product or not when the outgoing product is received, if so, transferring the outgoing product to a finished product warehouse, and otherwise, transferring the outgoing product to the next process of the target process.

In one embodiment, the target process comprises printing, laminating, hot stamping, silk screening, embossing, die cutting, and forming.

A process for use with a process outsourcing intelligent processing platform for printing packaged products as described above, comprising:

confirming whether the target process needs outgoing processing or not;

when the target process needs to be sent out, selecting a supplier with the highest matching degree with the target process from a supplier library as a target supplier;

sending an outbound shipping slip for the target process to the target supplier, the outbound shipping slip including process information and a process plan;

receiving progress information and product information uploaded by the target supplier through a supplier end;

monitoring the production progress of the target supplier according to the progress information and the process plan, feeding back a progress monitoring result, monitoring the production quality of the outgoing product according to the product information and the process information, and feeding back a quality monitoring result.

Has the advantages that: compared with the prior art, the embodiment of the invention synchronously sends process information and a process plan in the process of outsourcing the process, and the reserved interface receives the progress information and the product information uploaded by a supplier, thereby realizing real-time and objective progress and quality supervision, being capable of timely finding the potential risks of progress and quality in the process of outsourcing production and reducing the risks of outsourcing the process.

Drawings

The invention will be further described with reference to the accompanying drawings and examples, in which:

FIG. 1 is a functional block diagram of a process outsourcing intelligent processing platform for printing packaged products according to an embodiment of the invention;

FIG. 2 is a flow diagram of a process outsourced intelligent processing platform method of printing a packaged product according to one embodiment of the present invention;

fig. 3 is a schematic diagram of a hardware architecture of a process outsourcing intelligent processing platform for printing a packaged product according to another embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is described in further detail below. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention. Embodiments of the present invention will be described below with reference to the accompanying drawings.

Referring to fig. 1, fig. 1 is a functional block diagram of an outsourcing intelligent processing platform for a process of printing a packaged product according to an embodiment of the present invention. As shown in fig. 1, the processing platform includes an outsourcing confirmation module 101, a selection module 102, an outgoing module 103, an interface module 104, a progress monitoring module 105, and a quality monitoring module 106, wherein:

an outsourcing confirmation module 101 for confirming whether the target process requires an outgoing process.

In this embodiment, after the sales order is received and approved, production needs to be arranged according to the product stock condition, if the product stock meets the order requirement, a delivery notification is directly sent to the warehouse, the warehouse is notified to arrange delivery in time, if the product stock does not meet the order requirement, whether each target process involved in the production of the product needs to be subjected to outward delivery is further judged according to the current order requirement and the production condition, and the specific target process may include printing, film covering, hot stamping, silk printing, embossing, die cutting, molding and the like, so as to ensure that delivery can be completed in time.

In one embodiment, the outsourcing validation module 101 is specifically configured to determine whether the current production capacity meets the capacity requirement and the process requirement of the target process, and if not, validate the outgoing processing of the target process.

Specifically, when determining whether a certain target process needs to be sent out, the process demand and the capacity demand of the target process need to be determined according to the content of an order, and whether the process demand and the capacity demand of the target process can be met is determined by combining the production capacity of the current production line, so as to determine whether the target process is sent out for processing, for example, if the technology related to the target process or the current machine is not available in an enterprise, the process needs to be sent out for processing; or the capacity of the current production line is saturated, and the capacity requirement of the target process is difficult to meet, and the process also needs outgoing processing; or further evaluating whether the outgoing cost is lower than the internal production cost, and if so, carrying out the target process to save the production cost of the enterprise.

And the selecting module 102 is configured to select a supplier with the highest matching degree with the target process as the target supplier from the supplier library when it is determined that the target process needs to be sent out.

In this embodiment, when it is determined that the target process needs to be sent out, a corresponding target provider is further selected from the provider library, that is, information related to providers having a cooperative relationship with the enterprise is stored in the provider library, so as to perform efficient management and information utility on the providers in the library, for example, names of the providers, supported processes, adopted processes, and historical outsourcing information may be stored, where the historical outsourcing information may further include outsourcing time, outsourcing processes, outsourcing quantity, outsourcing quality, outsourcing disputes, and the like.

The outbound module 103 is used for sending an outbound shipping slip of the target process to the target supplier, wherein the outbound shipping slip comprises process information and a process plan.

In this embodiment, after confirming that the target process requires the target supplier to carry out the outsourced processing, the outsourced manifest of the target process is sent to the target supplier, the outsourced manifest includes process information and a process plan, the specific process information at least includes standard parameters of the target process, namely, a quality standard of the target process, and the process plan at least includes a plurality of plan nodes of the target process, for example, a target production amount to be completed at a certain time point, and the quality standard and the time standard of the target process are synchronously sent when the target supplier is entrusted to carry out the outsourced processing, so as to objectively monitor the outsourced production condition of the subsequent target supplier.

And the interface module 104 is used for receiving the progress information and the product information uploaded by the target supplier through the supplier terminal.

In this embodiment, the process outsourcing intelligent processing platform opens a corresponding interface to the target provider, and opens corresponding permissions such as login permission, data uploading permission, and the like in advance, and the target provider can call the corresponding interface to log in the process outsourcing intelligent processing platform through the provider end, and can upload current progress information and product information according to periods such as every day, every week, every month, and the like in the outsourcing processing process, so that objective and accurate data is provided for progress and quality supervision in the outsourcing process, and disputes and deviations caused by manual supervision are avoided.

And the progress monitoring module 105 is used for monitoring the production progress of the target supplier according to the progress information and the process plan and feeding back a progress monitoring result.

And the quality monitoring module 106 is used for monitoring the production quality of the outgoing products according to the product information and the process information and feeding back a quality monitoring result.

In the embodiment, progress supervision and quality supervision in the outsourcing process are carried out based on the progress information and the product information actively uploaded by the target supplier, and the received progress information is compared with the process plan initially sent to the target supplier so as to monitor the production progress of the target supplier and feed back a progress monitoring result, so that the progress of outsourcing processing is mastered in time to avoid the situation that delivery on time cannot be carried out; and the production quality of the outgoing product is monitored according to the received product information and the initial process information, whether the product information meets the production requirement of the process information is confirmed, a quality monitoring result is fed back, whether the quality of the product processed outside the commission currently meets the requirement is obtained in time, so that a plan outside the commission of the process can be adjusted in time when the quality of the processed outside the commission does not meet the requirement, for example, a supplier is replaced, and the schedule and the quality hidden danger in the production process outside the commission can be found in time through real-time objective schedule and quality supervision, and the risk outside the commission of the process is reduced.

In one embodiment, the selection module 102 includes:

the system comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring the capacity demand and the process demand of a target procedure;

the primary screening unit is used for screening all alternative suppliers meeting the capacity requirement and the process requirement in a supplier library;

the matching unit is used for acquiring the historical outsourcing information, the capacity information and the process information of each alternative supplier, and matching the historical outsourcing information, the capacity information and the process information with the capacity requirement and the process requirement of the target process to obtain the historical matching degree, the capacity matching degree and the process matching degree of each alternative supplier;

and the selecting unit is used for calculating the comprehensive matching degree according to the history matching degree, the productivity matching degree and the process matching degree of each alternative supplier and a preset selection strategy, and determining the alternative supplier with the highest comprehensive matching degree as the target supplier.

In this embodiment, when a supplier is selected, the capacity demand and the process demand of the currently identified outgoing target process are determined, and screening is performed in the supply library based on the demand of the target process, that is, the selection range is further narrowed among all the suppliers in the library, so as to obtain an alternative supplier capable of meeting the production demand of the target process, thereby improving the efficiency and accuracy of supplier selection.

After a plurality of alternative suppliers are confirmed, matching is carried out on the basis of historical outsourcing information stored in a supplier library, latest fed back current capacity information and process information and the requirements of the target process, and specifically matching results of the alternative suppliers in three dimensions are obtained, wherein the matching results comprise historical matching degree, production capacity matching degree and process matching degree.

The history matching degree is obtained by comprehensively combining the history outsourcing processes, the outsourcing quality and the outsourcing disputes of the alternative suppliers, for example, the history matching degree obtained by corresponding the alternative suppliers with more times of the same target process outside the history outsourcing, better quality outside the outsourcing and less disputes is higher, for example, a reference history matching degree (all the alternative suppliers are the same) is preset, the addition is carried out according to the times of the same target process in the history outsourcing (for example, 1 is added every more), the addition or the subtraction is carried out according to the evaluation result of the outsourcing quality (for example, the quality evaluation result is divided into a plurality of star grades, different star grades are added or subtracted), the subtraction is carried out according to the times of the outsourcing disputes (for example, 3 is deducted every more), and the history matching degree is obtained by comprehensively combining the history outsourcing histories of the alternative suppliers.

The capacity matching degree and the process matching degree are obtained by matching based on capacity requirements and process requirements between the supplier and the target process, and can also be embodied by quantitative scores, for example, when the capacity of the alternative supplier completely covers the capacity requirements of the target process, the capacity matching degree is fully counted (for example, 100 points), and when the capacity requirements of the target process are partially covered, the scores are correspondingly deducted according to the uncovered proportion, so that the quantitative capacity matching degree is obtained; the process matching degree can be on the same reference process matching degree, and corresponding bonus is carried out if the adopted machines, processes and the like of the alternative suppliers are superior to the process requirements of the target process; therefore, evaluation matching is carried out on each alternative supplier from multiple dimensions, and objective and comprehensive matching results are obtained.

And when the target supplier is selected, calculating the comprehensive matching degree according to a preset selection strategy according to the information such as the history matching degree, the production capacity matching degree and the process matching degree of each alternative supplier.

The specific calculation formula of the comprehensive matching degree of the supplier can be as follows:

wherein the weight coefficient

Parameters set according to historical outsourcing information, production energy information, outsourcing time, process conditions and the like, and weight parameters

The time weighting method can be adjusted according to the requirement of the work order, and the outsourcing time weight can be increased if the delivery time requirement of a certain outgoing work order is relatively strict.

The preset selection strategy can be a weight coefficient between different matching degrees set according to different requirements or emphasis points, the weight coefficient can be adjusted according to actual requirements to reflect the most important currently-commissioned influence factors, weighting operation is carried out on the different matching degrees through the set weight coefficient to obtain a comprehensive matching degree, the alternative supplier with the highest comprehensive matching degree is determined as a target supplier, and if a plurality of suppliers are required to be issued in a target process due to the fact that the capacity requirement is large and the like, sorting according to the comprehensive matching degree is carried out, and the suppliers are sequentially selected from high to low until the capacity requirement can be met, so that efficient, accurate and objective supplier selection is achieved, and the commissioned risk caused by subjective blind selection of the suppliers is avoided.

In one embodiment, the progress monitoring module 105 includes:

the progress monitoring unit is used for matching and monitoring the progress information with the plan node and judging whether the production progress of the current target provider meets the requirement of the plan node or not;

In this embodiment, when the schedule information uploaded by the target provider is received, according to the current time (i.e., the uploading time) and the pre-sent process plan, the current plan node, i.e., the schedule requirement to be completed at a certain time point, is determined, so that the schedule requirement to be completed at the current time can be determined first when the target provider uploads the schedule information each time, the received schedule information is matched with the plan node, and it is determined whether the current production schedule meets the schedule requirement of the plan node, for example, whether all production items in the plan node have been completed, the completion matching condition of each production item in the plan node, and the like.

In one embodiment, the quality monitoring module 106 includes:

the parameter acquisition module is used for acquiring standard parameters of a target process from the process information;

the parameter comparison module is used for performing parameter identification on the product information and comparing the product parameters obtained through identification with standard parameters to obtain a parameter comparison result;

and the quality monitoring unit is used for determining whether the product quality of the current target supplier is qualified or not according to the parameter comparison result and recording the quality monitoring result.

In this embodiment, the process plan sent to the target supplier includes standard parameters of the target process to ensure the consistency of the outsourcing product, when monitoring the quality, the standard parameters of the target process are obtained from the process information, for example, the film coating process is taken as an example, the standard parameters may include film tension, glue coating amount and uniformity, film coating speed, film coating temperature, lamination pressure and the like, the target supplier timely records and uploads product information in the outsourcing production process, the product parameters during outsourcing production are obtained by performing parameter identification on the product information, that is, the product information uploaded by the target supplier may be in the form of characters, images, videos and the like, such as small production, images/videos during production or parameter measurement, and the corresponding product parameters are obtained by performing, for example, character identification and separation extraction on different forms of product information, or performing image identification on images in images and videos on frame images in the images and videos, so as to obtain corresponding product parameters, the target supplier does not need to perform one-to-one parameter synchronization, and only need to perform synchronization recording and upload on production processes, namely, automatically identify and extract the corresponding product parameters, and ensure accurate and efficient comparison between the actual product quality and accurate and high-end product quality monitoring results are achieved.

In one embodiment, the processing platform further comprises:

the analysis module is used for analyzing whether the rejection rate of the current quality inspection exceeds the expected rejection rate range or not according to the quality monitoring result when the quality inspection is carried out on the received outgoing products;

In this embodiment, when the target supplier completes production of the target process and delivers the outgoing products, quality inspection needs to be performed, the rejection rate when the quality inspection is received can be evaluated according to the quality monitoring result of the history record, a range of expected rejection rate is calculated based on the quality monitoring result of the history record, and the quality inspection can be set according to the proportion that the quality monitoring is unqualified.

In one embodiment, the processing platform further comprises:

the crawling module is used for crawling process updating data and supplier updating data corresponding to the process updating data at intervals of preset time;

and the recommendation module is used for carrying out priority ranking on all the new process suppliers according to the supplier update data and outputting recommendation information of each new process supplier according to a priority ranking result.

In this embodiment, since the processes of each process are continuously updated, the processes of the suppliers in the library may not be the optimal choice, in order to improve the outsourcing capability of the suppliers in the supplier library, the process update data may be crawled on the internet at preset time intervals, such as every month, every quarter, and the like, and the supplier update data corresponding to the process update data, that is, the relevant data of the new process suppliers with new process production capability may include company size, registered capital, cooperation enterprises, risk litigation information, and the like, all the new process suppliers are prioritized according to the crawled supplier update data to comprehensively evaluate and sort the new process suppliers, and the recommendation information of each new process supplier is output from high to low according to the prioritized sorting result, so that the high-quality new process suppliers may be supplemented to the supplier library in time, the suppliers of the supplier library are enriched, and the process update requirements when the process outsourcing is flexibly adapted.

In one embodiment, the processing platform further comprises:

In this embodiment, after the target supplier completes production of the target process and delivers the outgoing product, it is determined whether the received outgoing product is a finished product, that is, all processes are completed, if yes, the outgoing product is transferred to a finished product warehouse for shipment, and if not, the outgoing product is transferred to the next process of the target process according to the process plan, and production is continued inside the enterprise, so that production smoothness after delivery of the outgoing product is ensured.

Another embodiment of the present invention provides a processing method applied to the above process outsourcing intelligent processing platform for printing and packaging products, as shown in fig. 2, the processing method includes the following steps:

s201, confirming whether the target process needs outgoing processing or not;

s202, when the target process needs to be sent out, selecting a supplier with the highest matching degree with the target process from a supplier library as a target supplier;

s203, sending an outgoing transfer bill of the target process to the target supplier, wherein the outgoing transfer bill comprises process information and a process plan;

s204, receiving progress information and product information uploaded by the target supplier through a supplier end;

s205, monitoring the production progress of the target supplier according to the progress information and the process plan, feeding back a progress monitoring result, monitoring the production quality of the outgoing product according to the product information and the process information, and feeding back a quality monitoring result.

For a detailed implementation, please refer to the corresponding product embodiments, which are not described herein again.

Another embodiment of the present invention provides an outsourcing intelligent processing platform for a process of printing a packaged product, as shown in fig. 3, wherein the processing platform 30 includes:

one or more processors 301 and a memory 302, where one processor 301 is illustrated in fig. 3, the processor 301 and the memory 302 may be connected by a bus or by other means, and fig. 3 illustrates a connection by a bus as an example.

Processor 301 is used to implement the various control logic of processing platform 30, which may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a single chip, an ARM (Acorn RISC Machine) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination of these components. Also, processor 301 may be any conventional processor, microprocessor, or state machine. The processor 301 may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP, and/or any other such configuration.

The memory 302 is a non-volatile computer-readable storage medium and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions corresponding to the method for outsourced intelligent processing of processes for printing packaged products in accordance with embodiments of the present invention. The processor 301 executes various functional applications and data processing of the processing platform 30, that is, implements the process outsourcing intelligent processing method of the printed packaged product in the above-described method embodiment, by executing the nonvolatile software program, instructions, and units stored in the memory 302.

The memory 302 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the processing platform 30, and the like. Further, the memory 302 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, memory 302 optionally includes memory located remotely from processor 301, which may be connected to processing platform 30 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more units are stored in the memory 302 and when executed by the one or more processors 301 perform the process-outsourced intelligent processing method of printed packaged products of any of the above-described method embodiments, e.g. performing the above-described method steps S201 to S205 of fig. 2.

Embodiments of the present invention provide a non-transitory computer-readable storage medium storing computer-executable instructions for execution by one or more processors, for example, to perform method steps S201-S205 of fig. 2 described above.

By way of example, non-volatile storage media can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically erasable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Synchronous RAM (SRAM), dynamic RAM, (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The disclosed memory components or memory of the operating environment described herein are intended to comprise one or more of these and/or any other suitable types of memory.

In summary, in the disclosed process outsourcing intelligent processing platform and method for printing packaging products, whether the target process needs to be processed by outgoing is confirmed; selecting a supplier with the highest matching degree with the target process from a supplier library as a target supplier; sending an outbound shipping slip of the target process to the target supplier, wherein the outbound shipping slip comprises process information and a process plan; receiving progress information and product information uploaded by a target supplier through a supplier terminal; monitoring the production progress of the target supplier according to the progress information and the process plan, feeding back a progress monitoring result, monitoring the production quality of the outgoing product according to the product parameter information and the process information, and feeding back a quality monitoring result. By synchronously sending the process information and the process plan in the process outside the process commission, the reserved interface receives the progress information and the product information uploaded by the supplier, real-time and objective progress and quality supervision is realized, the potential risks of progress and quality in the process outside the commission production process can be timely found, and the risk outside the process commission is reduced.

Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the computer program may be stored in a non-volatile computer readable storage medium, and when executed, may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, a floppy disk, a flash memory, an optical memory, etc.

It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims

1. The utility model provides a process outsourcing intelligent processing platform of printed packaging product which characterized in that, includes outsourcing affirmation module, selection module, outgoing module, interface module, progress monitoring module and quality monitoring module, wherein:

the outsourcing confirming module is used for confirming whether the target process needs to be subjected to outgoing processing or not;

the selection module is used for selecting a supplier with the highest matching degree with the target process from a supplier library as a target supplier when the target process is confirmed to be sent out;

the interface module is used for receiving the progress information and the product information uploaded by the target supplier through the supplier end, the processing platform opens a corresponding interface to the target supplier and opens corresponding authority in advance, the authority comprises login authority and data uploading authority, the target supplier calls the corresponding interface through the supplier end to log in the processing platform, and the current progress information and the product information are uploaded according to periods in the outsourcing processing process;

the quality monitoring module is used for monitoring the production quality of the outgoing product according to the product information and the process information and feeding back a quality monitoring result;

the selection module comprises:

the acquisition unit is used for acquiring the capacity requirement and the process requirement of the target procedure;

the history matching degree is obtained through history outsourcing processes, outsourcing quality and comprehensive evaluation of outsourcing disputes of the alternative suppliers, a reference history matching degree is preset, points are added according to the times of the same target process in the history outsourcing, points are added or subtracted according to the evaluation result of the outsourcing quality, points are subtracted according to the times of the outsourcing disputes, and then the history matching degree is obtained through the outsourcing history comprehensive evaluation of each alternative supplier;

when the capacity of the alternative supplier completely covers the capacity requirement of the target procedure, the capacity matching degree is fully measured, and when the capacity requirement of the target procedure is partially covered, the capacity matching degree is correspondingly deducted according to the uncovered proportion, so that the quantized capacity matching degree is obtained;

the selection unit is used for calculating the comprehensive matching degree according to the historical matching degree, the productivity matching degree and the process matching degree of each alternative supplier and a preset selection strategy, and determining the alternative supplier with the highest comprehensive matching degree as the target supplier;

the preset selection strategy is a weight coefficient between different set matching degrees, and the weight coefficient set in the preset selection strategy performs weighted operation on the different matching degrees to obtain a comprehensive matching degree;

if the target process needs to send out a plurality of suppliers, sequentially selecting alternative suppliers from high to low according to the sequence of the comprehensive matching degree until the capacity requirement can be met;

the quality monitoring module comprises:

the parameter comparison module is used for performing parameter identification on the product information and comparing the identified product parameters with the standard parameters to obtain parameter comparison results; the product information uploaded by the target supplier comprises characters, images and videos, and corresponding product parameters are obtained by performing character recognition and separation extraction on different forms of product information or by performing image recognition on pictures and frame images in the videos;

the quality monitoring unit is used for confirming whether the product quality of the current target supplier is qualified or not according to the parameter comparison result and recording a quality monitoring result;

the processing platform further comprises:

the quality early warning module is used for outputting quality early warning information of the target supplier when the rejection rate exceeds the expected rejection rate range;

the recommendation module is used for carrying out priority ranking on all the new process suppliers according to the supplier update data, outputting recommendation information of each new process supplier according to a priority ranking result and supplementing the new process suppliers to a supplier base in time;

the transfer module is used for judging whether the outgoing product is a finished product or not when the outgoing product is received, if so, transferring the outgoing product to a finished product warehouse, and otherwise, transferring the outgoing product to the next process of the target process;

the target process comprises printing, film covering, hot stamping, silk printing, embossing, die cutting and forming.

2. The outsourcing intelligent processing platform for the process of printing and packaging products according to claim 1, wherein the outsourcing confirming module is specifically configured to determine whether the current production capacity meets the capacity requirement and the process requirement of the target process, and if not, confirm that the target process is outgoing.

3. A process outsourcing intelligent processing platform for printed packaged products according to claim 1, wherein the progress monitoring module comprises:

4. A process applied to the process outsourcing intelligent processing platform of the printed packaged product according to any one of claims 1 to 3, comprising:

confirming whether the target process needs outgoing treatment;

receiving the progress information and the product information uploaded by the target supplier through a supplier end, opening a corresponding interface to the target supplier by a processing platform, and opening corresponding authorities in advance, wherein the authorities include login authority and data uploading authority, calling the corresponding interface by the target supplier through the supplier end to log in the processing platform, and uploading the current progress information and the product information according to periods in the outsourcing processing process;

monitoring the production progress of the target supplier according to the progress information and the process plan, feeding back a progress monitoring result, monitoring the production quality of an outgoing product according to the product information and the process information, and feeding back a quality monitoring result;

when the target process is confirmed to need to be sent out, selecting a supplier with the highest matching degree with the target process from a supplier library as a target supplier, wherein the method comprises the following steps:

acquiring the capacity demand and the process demand of the target procedure;

screening all alternative suppliers meeting the capacity requirement and the process requirement in the supplier base;

acquiring historical outsourcing information, capacity information and process information of each alternative supplier, and matching the historical outsourcing information, the capacity information and the process information with the capacity requirement and the process requirement of the target process to obtain historical matching degree, capacity matching degree and process matching degree of each alternative supplier;

calculating comprehensive matching degree according to a preset selection strategy according to the historical matching degree, the productivity matching degree and the process matching degree of each alternative supplier, and determining the alternative supplier with the highest comprehensive matching degree as the target supplier;

the historical matching degree is obtained by historical outsourcing processes, outsourcing quality and comprehensive evaluation of outsourcing disputes of the alternative suppliers, a reference historical matching degree is preset, and is added according to the times of the same target process in the historical outsourcing, added or subtracted according to the evaluation result of the outsourcing quality, subtracted according to the times of the outsourcing disputes, and then the historical matching degree is comprehensively obtained according to the outsourcing history of each alternative supplier;

acquiring standard parameters of the target process from the process information;

performing parameter identification on the product information, and comparing the identified product parameters with the standard parameters to obtain parameter comparison results; the method comprises the steps that product information uploaded by a target supplier comprises characters, images and videos, and corresponding product parameters are obtained by performing character recognition and separation extraction on different forms of product information or by performing image recognition on pictures and frame images in the videos;

confirming whether the product quality of the current target supplier is qualified or not according to the parameter comparison result, and recording a quality monitoring result;

when the quality of the received outgoing products is detected, whether the rejection rate of the current quality detection exceeds the expected rejection rate range is analyzed according to the quality monitoring result;

when the rejection rate exceeds the expected rejection rate range, outputting quality early warning information of the target supplier;

crawling process updating data and supplier updating data corresponding to the process updating data at preset time intervals;

performing priority ranking on all new process suppliers according to the supplier update data, outputting recommendation information of each new process supplier according to a priority ranking result, and supplementing new process suppliers to a supplier base in time;

judging whether the outgoing product is a finished product or not when the outgoing product is received, if so, transferring to a finished product warehouse, and otherwise, transferring to the next process of the target process;