MES and WMS-based intelligent manufacturing and warehouse-in and warehouse-out management method and related equipment

Abstract

The invention provides an MES and WMS-based intelligent manufacturing and warehouse-in and warehouse-out management method and related equipment, and is applied to the technical field of data processing. The method comprises the steps of obtaining target park information and a product warehousing request sent by a target terminal; processing the product warehousing request, and generating attribute information and product identification information of the target material; processing the material identification information and the target park information, and generating warehouse-out priorities of the to-be-warehoused products; processing the target park information based on the attribute information of the target material, and generating storage information of the to-be-stored product; processing the product identification information based on the attribute information of the target material, and generating preset warehouse-out information of the to-be-warehoused product; processing the storage information of the to-be-warehoused product and the preset warehouse-out information of the to-be-warehoused product based on the warehouse-out priority of the to-be-warehoused product, and generating target warehouse-out information; and processing the storage information of the to-be-warehoused product and the target warehouse-out information to generate warehouse-in and warehouse-out management information.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a management method and related equipment for intelligent manufacturing and warehousing in-and-out based on MES and WMS. Background Art

[0002] With the continuous iteration and update of market products, the diversity of material demand is growing. At the same time, the difficulty of warehouse management continues to rise due to factors such as unstable market material supply, mutual transfer of materials between different factories of the company, increasing types and quantities of inventory materials, and increasing categories of different material attributes in the warehouse. The industry has a long and active history of research on inventory management. From the development of the reorder point method in the 1940s to today's enterprise resource planning (Enterprise Resource Planning, ERP), inventory management has always been a research focus. The key to inventory management lies in how to determine the standard inventory and carry out inventory replenishment operations based on the standard inventory and actual inventory. Traditional inventory management methods and systems include the reorder point system (Reorder Point, ROP), that is, when the inventory drops to a certain pre-set inventory level, a purchase order for a specific number of materials is issued.

[0003] Traditional inventory management methods also include various batch methods (LotSizingRule), such as batch-by-batch method, quantitative batch method, economic order quantity method, periodic evaluation method, periodic batch method, and minimum total cost method. In the prior art, when materials need to be transported and stored, a warehouse with storage space is usually randomly selected from multiple warehouses for storage, and the type and quantity of the materials need to be manually recorded after they arrive at the destination. The inventors found that there are at least the following problems in the prior art: there are many types of materials, and after different types of materials are randomly stored in different warehouses, the huge and disordered amount of information will have an adverse effect on the inventory management of the materials; and after the materials arrive at the destination, the type and quantity need to be manually recorded, which increases the labor cost.

[0004] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0005] The purpose of this application is to provide a management method and related equipment and systems for intelligent manufacturing and warehousing in and out of warehouse based on MES and WMS, which at least overcomes the problems existing in the prior art to a certain extent, by obtaining target park information, product in-warehouse requests and in-warehouse warning models, and processing in-warehouse requests to generate material attributes and identification information. Determine the outbound priority based on the order and park information, process the material attributes and park information to obtain storage information, and combine the outbound priority to process the storage and preset outbound information to obtain the target outbound information. Finally, process the storage and outbound information based on the warning model, generate inventory information and inbound thresholds, and issue a warning if the threshold is exceeded, and then generate management information, thereby achieving efficient and accurate inbound and outbound management, meeting customer needs, and improving operational efficiency and corporate competitiveness.

[0006] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by the practice of the present invention.

[0007] According to one aspect of the present application, a method for managing intelligent manufacturing and warehousing in and out of warehouse based on MES and WMS is provided, including: obtaining target park information, product entry requests sent by target terminals, and target entry and out of warehouse warning models, wherein the product entry requests include material identification information; processing the product entry requests to generate attribute information and product identification information of the target materials, wherein the attribute information of the target materials is used to characterize the material characteristic information of the products to be entered into the warehouse, and the product identification information is used to characterize other material information matching the products to be entered into the warehouse; processing the material identification information and the target park information The target park information is processed based on the attribute information of the target material to generate the storage information of the product to be stored; the product identification information is processed based on the attribute information of the target material to generate the preset outbound information of the product to be stored; the storage information of the product to be stored and the preset outbound information of the product to be stored are processed based on the outbound priority of the product to be stored to generate the target outbound information; the storage information of the product to be stored and the target outbound information are processed based on the target inbound and outbound early warning model to generate inbound and outbound management information.

[0008] Another aspect of the present application is a management device for intelligent manufacturing and warehousing in-and-out warehousing based on MES and WMS, characterized in that it includes: an acquisition module for acquiring target park information, a product entry request sent by a target terminal, and a target entry and exit warning model, wherein the product entry request includes material identification information; a processing module for processing the product entry request to generate attribute information and product identification information of the target material, wherein the attribute information of the target material is used to characterize the material characteristic information of the product to be entered, and the product identification information is used to characterize other material information matching the product to be entered; processing the material identification information and the target The target park information is processed based on the attribute information of the target material to generate the outbound priority of the product to be stored; the target park information is processed based on the attribute information of the target material to generate the storage information of the product to be stored; the product identification information is processed based on the attribute information of the target material to generate the preset outbound information of the product to be stored; the storage information of the product to be stored and the preset outbound information of the product to be stored are processed based on the outbound priority of the product to be stored to generate the target outbound information; the storage information of the product to be stored and the target outbound information are processed based on the target inbound and outbound early warning model to generate inbound and outbound management information.

[0009] According to another aspect of the present application, an electronic device is characterized in that it includes: a first processor; and a memory for storing executable instructions of the first processor; wherein the first processor is configured to execute the above-mentioned intelligent manufacturing and warehousing entry and exit management method based on MES and WMS by executing the executable instructions.

[0010] According to another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a second processor, the above-mentioned intelligent manufacturing and warehousing entry and exit management method based on MES and WMS is implemented.

[0011] According to another aspect of the present application, a computer program product is provided, including a computer program, characterized in that when the computer program is executed by a third processor, the computer program implements the above-mentioned intelligent manufacturing and warehousing entry and exit management method based on MES and WMS.

[0012] The present application provides a management method and related equipment for intelligent manufacturing and warehousing in and out of warehouse based on MES and WMS, by obtaining target park information, product entry requests sent by target terminals and target entry and out of warehouse early warning models. The target park information covers geographical location, floor space, warehouse layout and storage capacity, etc. For example, a paper product manufacturing park located in an economic development zone of a certain city has multiple standardized warehouses with clear divisions and is equipped with advanced logistics facilities such as AGV carts and automated shelves. When production is completed, the target terminal will send a product entry request, including information such as the quantity, specifications, and batches of the product. At the same time, an outbound early warning model is established based on customer orders and inventory status to ensure timely arrangement of production and procurement, such as issuing an early warning when the carton inventory is below a threshold or the ink inventory is about to be insufficient.

[0013] Next, the product entry request is processed to generate the attribute information and product identification information of the target material. The material type and quantity of the product to be entered are determined, other related material information is obtained, product identification information is generated, materials are classified, and finally the attribute information of the target material is determined to provide a basis for subsequent production and inventory management. Then, by processing the material identification information and the target park information, the outbound priority of the product to be entered is generated. The production equipment set and production progress information in the park are determined to arrange the production scheduling of the product to be entered. The product entry time is determined according to the order requirements and historical data, and then the outbound priority is determined in combination with the production scheduling information to ensure that urgent orders are processed first.

[0014] The target park information is processed based on the attribute information of the target material to generate the storage information of the products to be stored. The preset product storage area is generated according to the layout of the park warehouse, and the material storage classification information is further subdivided and the real-time storage information is obtained. The storage area is determined according to the attributes of the target material, the matching pallet information is obtained and the handling information is generated, and the storage information is finally determined to achieve efficient inventory management and material tracking. The product identification information is processed using the attribute information of the target material to generate the preset outbound information of the products to be stored. Then, based on the outbound priority of the products to be stored, the storage information and the preset outbound information are processed to generate the pallet information, the inbound and outbound time and location information, and the target outbound information, and the outbound of products with different priorities is reasonably arranged.

[0015] Finally, based on the target in-and-out warning model, the storage information and target out-and-in information are processed. Generate inventory information of products to be stored, determine the storage time and storage time, and then generate the target storage threshold. If the target storage threshold is greater than the preset storage threshold, generate warning information, and generate in-and-out management information after processing the warning information. By adjusting the production plan, promoting sales and out-and-in, and optimizing the warehouse layout, ensure reasonable inventory management and normal operation of the enterprise. The paper product manufacturing park can achieve efficient and accurate in-and-out management, meet customer needs, and improve operational efficiency and corporate competitiveness.

[0016] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flowchart of a method for managing intelligent manufacturing and warehousing in and out of warehouse based on MES and WMS provided in one embodiment of the present application is shown; Figure 2 A schematic diagram of the structure of a management device for intelligent manufacturing and warehousing in and out of warehouse based on MES and WMS provided in one embodiment of the present application is shown; Figure 3 A schematic diagram of the structure of an electronic device provided by an embodiment of the present application is shown; Figure 4 A schematic diagram of a storage medium provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0019] Combine the following Figure 1 To describe the intelligent manufacturing and warehousing in-and-out management method based on MES and WMS according to the exemplary embodiment of the present application. It should be noted that the following application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the embodiments of the present application are not limited in this regard. On the contrary, the embodiments of the present application can be applied to any applicable scenario.

[0020] In one implementation, the present application also proposes a management method and related equipment for intelligent manufacturing and warehousing in and out based on MES and WMS. Figure 1 The following schematically shows a flow chart of a method for managing intelligent manufacturing and warehousing in and out based on MES and WMS according to an embodiment of the present application. Figure 1 As shown, the method is applied to a server, comprising: S101, obtaining target park information, product entry requests sent by target terminals, and target entry and exit warning models.

[0021] In one implementation, assuming a paper product manufacturing park, the target park information may include basic information such as the park's geographical location, floor area, warehouse layout, storage capacity, etc. For example, the park is located in an economic development zone of a certain city, covers an area of ​​10,000 square meters, and has multiple standardized warehouses. Each warehouse is divided into sections according to the type of paper products stored, such as base paper storage area, finished product storage area (including environmentally friendly finished product area, food finished product area), and mixed storage area (mainly used for storing semi-finished products, returned materials, etc.). At the same time, the park is also equipped with advanced logistics facilities, such as AGV carts, automated shelves, etc.

[0022] When a batch of paper products is completed on the production line, the target terminal (such as the production management system) will send a request for product warehousing. Taking paper bags as an example, after a batch of paper bags are produced and passed the quality inspection, the production management system will send a request for warehousing to the WMS system, which contains the quantity, specifications, batch, production date and other information of the paper bags. After receiving the warehousing request, the WMS system will make arrangements based on the current storage situation of the warehouse. If there is enough space in the warehouse, the system will allocate the corresponding storage location and generate a warehousing task instruction to send to the AGV or manual handling team. For materials such as paper, ink, glue and other auxiliary materials that are put into storage, they will also be processed according to a similar process. For example, when a batch of newly purchased paper arrives at the park, the supplier's terminal will send a request for warehousing, which contains the type, specifications, quantity, supplier information, etc. of the paper. The WMS system allocates a suitable storage location for it based on the characteristics and storage requirements of the material.

[0023] According to customer orders and inventory conditions, an outbound warning model is established. For example, when the inventory quantity of a certain specification of paper boxes is lower than a certain threshold, the system will issue an outbound warning to remind managers to arrange production or purchase in time. Assuming that a customer has ordered a large number of paper boxes of a certain specification, and the current inventory quantity is not enough to meet the order demand, the system will calculate the time to arrange production in advance based on historical sales data and production cycle, and issue an early warning prompt. An early warning model can also be established for the warehousing of raw materials. Taking ink as an example, if the inventory of ink is consumed quickly and the procurement cycle is long, the system can issue an inbound warning in advance based on historical usage data and current inventory levels to ensure that production will not be interrupted due to raw material shortages. For example, when the remaining inventory of ink can only meet the production needs of the next few days, the system will send an inbound warning to the procurement department to remind them to place an order for purchase in time. In short, in the scenario of paper product manufacturing, by obtaining target park information, processing product warehousing requests sent by the target terminal, and establishing a target inbound and outbound warning model, efficient and accurate inventory management can be achieved to ensure the smooth progress of production and the timely delivery of customer orders.

[0024] In another embodiment, a training sample set and an initial in-and-out warehouse warning model are obtained, wherein the initial in-and-out warehouse warning model is generated based on the historical product order information of the target park. Assume that the target park is a large paper product production park, which mainly produces paper products such as paper bags, paper boxes, and paper cups. First, the historical product order information of the target park is collected, which includes the time of the order, the product type (such as paper bags, paper boxes, and paper cups of different specifications), the quantity, the delivery date required by the customer, etc. The initial in-and-out warehouse warning model is generated based on these historical order information. The initial model can simply predict the possible future in-and-out warehouse demand based on the order trend in the past period of time. For example, if the order volume of paper bags of a certain specification has been on an upward trend in the past few months, the initial model may predict that the demand for paper bags of this specification will increase in the future. At the same time, a training sample set is obtained, and the training sample set may include various data in the past period of time, such as the actual in-and-out warehouse quantity per day, the inventory level of different materials (paper, ink, glue and other auxiliary materials), production plan, market demand changes, etc.

[0025] Perform feature extraction on the training sample set to determine the original feature library. Perform feature extraction on each data point in the training sample set. For example, the following features can be extracted: Time features: including month, quarter, whether it is a holiday, etc. Product features: types, specifications, colors, etc. of different paper products. Inventory features: current inventory levels of various materials, inventory turnover rate, etc. Order features: order quantity, order urgency, etc. Market features: industry trends, competitor dynamics, etc. Through these feature extractions, the original feature library is determined. Divide each feature data set according to the original feature library to generate a training set and a validation set. Randomly divide the data in the original feature library into a training set and a validation set according to a certain ratio. For example, 70% of the data can be used as a training set and 30% of the data can be used as a validation set. The training set is used to train the model, and the validation set is used to evaluate the performance of the model.

[0026] Use the classifier to divide the original feature library into various validation sets for prediction and generate prediction results. Select appropriate classifiers, such as decision trees, random forests, support vector machines, etc., to predict the data in the validation set. The prediction target can be whether the demand for inbound and outbound storage in the future will exceed a certain threshold, or a specific range of inbound and outbound quantities. For example, for a data point in the validation set, the classifier predicts whether there will be an urgent demand for inbound storage in the time period corresponding to the data point based on its characteristics.

[0027] Based on the preset algorithm, the original feature library is divided into various training sets for training to obtain the prediction results of the validation set. The preset algorithm (such as gradient descent algorithm, etc.) is used for training on the training set. The training process is to continuously adjust the parameters of the model to minimize the prediction error of the model on the training set. After the training is completed, the trained model is applied to the validation set to obtain the prediction results of the validation set. This result is compared with the result of the classifier directly predicting the validation set in the previous step to evaluate the performance of the model.

[0028] Process the prediction results and the validation set prediction results to generate target feature data. Analyze and process the two prediction results. You can calculate the prediction accuracy, recall rate and other indicators, find out the cases of prediction errors for analysis. Based on the analysis results, extract some key feature data, which may be factors that have an important impact on the in-and-out warning. For example, if it is found that the in-and-out demand of a certain specification of paper box changes greatly before and after holidays, then the holiday feature can be used as one of the target feature data.

[0029] The initial in-and-out warning model is processed based on the training sample set with target feature data to generate a target in-and-out warning model. The target feature data is added to the training sample set, and the initial in-and-out warning model is trained and optimized again. After multiple iterations and adjustments, the target in-and-out warning model is finally generated. This target model can more accurately predict the in-and-out demand of the paper product manufacturing park, help enterprises reasonably arrange production, procurement and inventory management, and improve operational efficiency and customer satisfaction.

[0030] S102, processing the product warehousing request, generating attribute information and product identification information of the target material.

[0031] In one embodiment, all materials are processed by the MES system. In terms of information processing, it is mainly completed by the MES system. The WMS system will store information according to the work order transmitted by the MES or the manually entered information, and operate according to this information. Specifically, the storage of raw materials, auxiliary materials, finished products and semi-finished products is executed after being processed by the MES system according to the manually entered instructions; or, the storage of raw materials, auxiliary materials, finished products and semi-finished products is carried out according to the work order generated by the MES system; or, the storage of base paper and auxiliary materials is carried out after being processed by the MES system according to the manually entered instructions, and the storage of finished products and semi-finished products is carried out according to the work order generated by the MES system. Product identification information can also be reflected in the form of labels, and the label content covers the work order number, product name, order quantity, product number, production date, production machine and shelf life. With the help of labels, multi-dimensional information traceability can be achieved, which can be traced back to batch information such as personnel, machines, batches of raw materials and auxiliary materials, delivery status, batch numbers, auxiliary materials, etc.; in terms of equipment traceability granularity, it includes information such as key equipment production processes, key equipment molds, and fixtures; in terms of quality traceability granularity, it involves process quality inspection parameters, inspection personnel, inspection equipment, and rework information, and quality traceability can even be accurate to the roll number.

[0032] The target park information is processed to generate a production equipment set and production progress information that matches the production equipment set. Assume that the target park is a large paper product manufacturing park. When processing the target park information, the production equipment set in the park is first determined. For example, the park is equipped with printing machines, die-cutting machines, box-gluing machines and other equipment specifically for producing paper bags; there are paper-mounting machines, slotting machines and other equipment for producing paper boxes; there are also forming machines and other equipment for producing paper cups. At the same time, the production progress information that matches the production equipment set is obtained through the monitoring system or production management software connected to the production equipment. For example, a printing machine is producing a batch of paper bags of a specific specification, and 50% of the workload has been completed; another die-cutting machine is performing die-cutting processing for paper boxes, and the progress is 30%, etc. The production equipment set and the matching production progress information are processed to generate production scheduling information for products to be put into storage. For example, if there is a batch of new paper cup orders to be produced, the system will comprehensively consider the production progress of the existing paper cup forming machines, the equipment capacity, and the urgency of the order, and arrange the production plan for this batch of paper cups. Assume that the current paper cup forming machine is producing a batch of regular paper cups, which is expected to be completed in 2 hours. However, the specifications of the paper cups for the new order are different from those of the paper cups currently being produced, and the equipment parameters need to be adjusted. The adjustment time is expected to be 1 hour, and the production time is 3 hours. Then, the production scheduling information generated by the system may be that after the current production task is completed, the equipment will be adjusted immediately, and then the production of the new order of paper cups will begin. The estimated completion time is the current time plus 6 hours.

[0033] The material identification information is processed to generate the outbound information of the products to be stored, which is used to characterize the storage time of the products to be stored. When a material identification information is received, such as an order for cartons from a specific customer. The system will generate the outbound information of the products to be stored (cartons) based on the order requirements and historical data. The outbound information can characterize the storage time of the products to be stored. For example, according to historical data, the average time from storage to outbound for cartons of similar specifications is 3 days. If the production progress and inventory status of the current batch of cartons are similar to the historical data, the system can predict that the storage time of this batch of cartons is about 3 days. This helps companies better arrange production and inventory management to ensure that products are delivered within the time required by customers.

[0034] Based on the production scheduling information of the products to be stored, the outbound information of the products to be stored is processed to generate the outbound priority of the products to be stored. For example, if the production scheduling information of a batch of paper bags shows that the production is about to be completed, and there is an urgent order for this batch of paper bags that needs to be stored as soon as possible. At the same time, there is also a batch of paper boxes that have order requirements, but the production progress is relatively slow. In this case, the system will increase the outbound priority of the paper bags and prioritize the inbound and outbound processes of the paper bags to meet the needs of urgent orders. The outbound priority of the paper boxes is relatively low and can be arranged after the paper bags are outbound. This ensures that the company can maximize production and logistics efficiency while meeting customer needs.

[0035] S103, processing the material identification information and the target park information to generate a release priority for the product to be stored.

[0036] In one implementation, for the same batch of goods, it is necessary to manage them according to the principle of first-in-first-out according to the production date. When processing the material identification information, the outbound information of the product to be stored will be generated, and this outbound information is used to characterize the storage time of the product to be stored. When receiving a material identification information, such as an order for a paper box from a specific customer, the system will generate the outbound information of the product to be stored (paper box) based on the order requirements and historical data. Since the outbound information can characterize the storage time of the product to be stored, taking historical data as an example, the average time from storage to outbound for paper boxes of similar specifications is 3 days. If the production progress and inventory status of the current batch of paper boxes are similar to the historical data, the system can predict that the storage time of this batch of paper boxes is about 3 days. This is conducive to enterprises to better arrange production and inventory management and ensure that products are delivered within the time required by customers. Based on the production scheduling information of the product to be stored, the outbound information of the product to be stored can be processed to generate the outbound priority of the product to be stored. For example, if the production scheduling information of a batch of paper bags shows that the production is about to be completed, and there is an urgent order for this batch of paper bags that needs to be shipped out as soon as possible. At the same time, there is another batch of paper boxes that also have order demand, but the production progress is relatively slow. In this case, the system will increase the outbound priority of paper bags and prioritize the inbound and outbound processes of paper bags to meet the needs of urgent orders. The outbound priority of paper boxes is relatively low and can be arranged after the paper bags are outbound. In this way, it can ensure that while meeting customer needs, the company can maximize production and logistics efficiency and always follow the first-in-first-out principle for the same batch of goods according to the production date.

[0037] S104: Process the target park information based on the attribute information of the target material to generate storage information of the products to be stored.

[0038] In one embodiment, the materials placed in the warehouse are mainly specific categories of materials: for example, paper materials are divided into three warehouses, namely, semi-finished product warehouse, finished product warehouse (with environmental protection warehouse and food warehouse inside) and mixed warehouse (mainly used for storing semi-finished products, returned materials, etc.). Paper materials will select the nearest warehouse according to the work order production site, while auxiliary materials such as ink and glue are stored in other warehouses. Under normal circumstances, all pallets are of uniform specifications. However, if there are special requirements, pallets can also be customized. This embodiment does not limit the specifications of pallets, and can be set according to the actual requirements of the applicant. The materials that can be placed in the warehouse are all within a certain volume range. Materials that are not within this specification will not be placed in the warehouse, and different products will not be placed in the same pallet. When entering the warehouse, different storage locations will be arranged according to the volume of the materials on the pallet. A pallet code is provided on the pallet in the form of a QR code. Through the process of empty tray, binding, and release, the pallet and pallet code are recycled. Among them, the binding is mainly to bind with the item label on the pallet. Determine whether to use AGV based on the material specifications and size. Process the target park information to generate a preset product storage area.

[0039] Assume that the target park is a large paper product production park. When processing the target park information, the preset product storage area is generated based on the warehouse layout, storage capacity and characteristics of different products in the park. For example, the park is divided into a special base paper storage area, a finished product storage area (including an environmentally friendly finished product area and a food finished product area) and a mixed storage area (mainly used for storing semi-finished products, returned materials, etc.). Each storage area has specific storage conditions and management requirements. The preset product storage area is processed to generate material storage classification information and real-time storage information matching the classification information. Taking the base paper storage area as an example, it can be divided into different types of base paper classification storage areas, such as white paper storage area, kraft paper storage area, etc. At the same time, the real-time storage information matching the material storage classification information is recorded and updated in real time, for example, the number of white paper of various specifications currently stored in the white paper storage area is how much, how much space is occupied, etc.

[0040] The material storage classification information is processed based on the attribute information of the target material to generate the storage area of ​​the target material. For example, for a paper of a specific thickness and weight, the specific shelf position suitable for storage in the paper classification storage area is determined based on its attribute information. If this type of paper needs to be stored in a moisture-proof manner, a relatively dry and ventilated area will be selected. For another example, for a quick-drying ink, based on its attribute information, it may be stored in a location in the ink classification storage area that is close to the equipment used and has a suitable temperature for quick access. Obtain the pallet information that matches the target material storage area. The specifications and types of pallets will be selected based on the characteristics and quantity of the stored materials. For example, for a large amount of paper, a larger pallet with strong load-bearing capacity can be selected; for small bottles of ink, a smaller pallet that is easy to carry can be selected.

[0041] Based on the target material's attribute information, the pallet information that matches the target material storage area is processed to generate the handling information of the product to be stored. If the target material is heavy paper and needs to be moisture-proof, the handling information may specify the use of an AGV cart for handling and select a specific handling route to avoid wet areas. If it is a fragile paper cup raw material, manual handling may be arranged carefully and protective measures may be taken on the pallet.

[0042] The storage area of ​​the target material and the transportation information of the products to be stored are processed to generate the storage information of the products to be stored. The storage information includes the specific location of the material, which pallet is used, and the method of transportation into the warehouse. For example, a batch of paper of a specific specification is stored on the third layer of shelf A in the paper classification storage area, using a large-size pallet numbered XYZ, and is transported into the warehouse by an AGV car from the warehouse entrance along route ABC. Such storage information helps to achieve efficient inventory management and accurate material tracking.

[0043] S105: Process the product identification information based on the attribute information of the target material to generate preset outbound information of the product to be stored.

[0044] In one implementation, identification information must be assigned to the goods first, and the goods are virtually identified as "urgent outbound". The pallet is bound to the goods, and the goods are placed on the pallet to achieve the binding of the goods and the pallet. The work order contains emergency information, which will be reflected in the goods identification information (such as a virtual label), and the emergency outbound of the products to be stored will be completed based on the production date and shelf life.

[0045] In the paper product manufacturing park, assume that the target material is a batch of newly produced environmentally friendly paper bags. Its attribute information is as follows: Product type: environmentally friendly paper bags, with different sizes, such as 30cm×40cm, 40cm×50cm, etc.; Material: Made of biodegradable paper, the paper weight is 120g / m², and the handle part is a cotton rope, which has certain strength and durability; Production process: After cutting, printing, folding, stringing and other processes, the printed pattern is an illustration and brand logo with an environmental theme; Production batch: 20241025 batch; Shelf life: Generally, it can be stored for 1 year under normal storage conditions.

[0046] First, product identification information is generated based on these attribute information. A virtual label containing product code (such as HD-20241025-01, where "HD" represents environmentally friendly paper bags, "20241025" is the production batch, and "01" represents the first product in the batch), size specifications, production batch and other information is affixed to each environmentally friendly paper bag. Recent market research shows that with the improvement of environmental awareness, the demand for environmentally friendly paper bags in the retail industry is increasing, especially in some large shopping malls and chain supermarkets. According to previous sales data, the demand for such paper bags will increase significantly during environmental protection activities and around holidays. Therefore, when processing product identification information, the estimated outbound quantity in the preset outbound information of this batch of environmentally friendly paper bags is set to a higher value, such as 3,000 (estimated based on order forecasts and market trends), and the estimated outbound time is set to be shipped out one week before the start of the environmental protection activity to meet the packaging needs of retail enterprises. If orders have been received from some major customers and delivery is required within a specific time. For example, a well-known supermarket chain ordered 1,000 environmentally friendly paper bags of this specification and required them to arrive before November 5. In the preset delivery information, these orders will be given priority, and the estimated delivery time of these paper bags will be set between November 1 and November 5. Reasonable arrangements will be made according to the order sequence and logistics distribution capabilities to ensure on-time delivery.

[0047] Although the shelf life of environmentally friendly portable paper bags is relatively short, the impact of storage environment and time on the quality of paper bags is taken into consideration. If the fastness of the printed color is slightly insufficient during the production process of this batch of paper bags, it may affect the appearance quality of the product. When presetting the outbound information, the outbound speed will be appropriately accelerated, and paper bags with better quality will be prioritized to reduce quality problems caused by long-term storage. At the same time, for paper bags that are close to half of the shelf life (i.e. 6 months), quality inspection will be strengthened in subsequent inventory management, and it will be noted in the preset outbound information that it is necessary to pay closer attention to its outbound situation, and give priority to customers with relatively low requirements for paper bag quality or short-term orders. Assume that the production line in the park is more efficient in producing paper bags of this specification, and can produce about 800 per day. At the same time, the current inventory space in the warehouse is limited. In order to avoid backlogs, the outbound rhythm needs to be reasonably arranged. Therefore, in the preset outbound delivery information, a reasonable inventory upper limit will be set according to the production progress and inventory space conditions. For example, when the inventory reaches 6,000 pieces, it is necessary to speed up the outbound delivery and adjust the estimated outbound delivery quantity and time to maintain a reasonable inventory turnover.

[0048] When the goods are placed on the pallet, the information set on the virtual tag of the goods (including product identification information and preset outbound information generated based on attribute information, etc.) will be associated with the pallet. If there is urgent information on the work order (such as a customer suddenly increases the order volume and requires urgent delivery), this urgent information will be updated to the virtual tag of the goods in a timely manner. Then, based on factors such as production date and shelf life, the system can use this information to more scientifically complete the emergency outbound delivery of products to be stored and the overall outbound delivery management, ensuring that the production and sales activities of the paper product manufacturing park can be carried out efficiently and orderly.

[0049] S106: Process the storage information of the product to be stored and the preset outbound information of the product to be stored based on the outbound priority of the product to be stored, and generate target outbound information.

[0050] In one embodiment, in a paper product manufacturing park, there are a variety of paper products to be stored, such as cartons of different specifications (containing a certain number and specifications of paper cups) and cartons. After these products are produced, they will be stored and need to be arranged for subsequent outbound management. For large cartons, high priority means that they need to be given priority when arranging outbound. Although the overall preset outbound volume is 800 in a month, due to the urgency of the paper cup order, the outbound arrangement of these 500 customized cartons will be focused on during the processing. Combined with the storage information, the system will plan a special storage area and pallet allocation to ensure that these cartons can be quickly retrieved and outbound. For example, the pallet storing the customized cartons for paper cups is placed in the finished product warehouse near the outbound channel (assuming that the finished product warehouse mainly stores various types of finished cartons, and the internal space layout is suitable for the storage and handling of large cartons) for quick handling. At the same time, according to the specifications and weight of the cartons, the handling equipment and personnel are reasonably arranged to ensure the efficiency and safety of the outbound process.

[0051] For small cartons, medium priority makes them more relaxed in the outbound arrangement than large cartons. However, it is still necessary to make reasonable planning according to the preset outbound time and quantity. According to the storage information, the 4,000 cartons ordered by the food factory are centrally stored on specific shelves in the mixed warehouse (the mixed warehouse is mainly used to store semi-finished products, returned materials, etc., and a part of the area can be reasonably planned here to store specific small carton semi-finished products, waiting for further processing or direct outbound delivery), and marked so that stocking and outbound operations can be carried out efficiently one and a half months in advance. For the 8,000 cartons for retail channels, a rough outbound plan is formulated based on historical sales data and market trends to avoid excessive or insufficient inventory backlogs.

[0052] For large cartons, the delivery time of 500 cartons for a certain number and specification of customized paper cups will be clearly defined as three weeks from now, and delivery arrangements will be made every day according to a certain quantity to meet the contract requirements. For example, 30 cartons will be delivered every day in the first two weeks, and flexible adjustments will be made in the third week based on actual inventory and production warehousing conditions, but all will be delivered within three weeks. For the 300 cartons of regular orders from e-commerce companies, delivery will be dynamically arranged according to market demand and inventory conditions in the remaining week to avoid inventory backlogs. As mentioned earlier, the pallets of customized cartons for paper cups are placed in a prominent position in the finished product warehouse close to the delivery channel, and marked as high-priority products to be shipped in the system. At the same time, the specific specifications, quantity, batch and other information of the cartons on each pallet are recorded for quick identification and processing.

[0053] For small cartons, the 4,000 cartons ordered by the food factory will start to be shipped out in one and a half months. According to the delivery deadline and the warehouse's operating capacity, it is planned to ship out 1,000 cartons per week in the first two weeks, and adjust according to the actual situation in the next two weeks to ensure that all are delivered within the specified time. According to market demand forecasts, the 8,000 cartons for retail orders will be evenly distributed and shipped out in the next two months, with an estimated weekly shipment of about 400-600. The specific number will be dynamically adjusted according to actual sales. The cartons ordered by the food factory are stored on specific shelves in the mixed warehouse for easy identification and management. In terms of pallet allocation, ensure that the number and model of cartons on each pallet are accurately recorded so that the corresponding goods can be quickly found when leaving the warehouse. For cartons for retail orders, according to the sales frequency and storage time, the storage location is reasonably adjusted to facilitate rapid sorting and shipping (for example, cartons that may be sold in the near future are placed in an area that is easier to pick up).

[0054] S107: Process the storage information of the product to be stored and the target outbound information based on the target inbound and outbound early warning model to generate inbound and outbound management information.

[0055] In one implementation, the storage information of the products to be stored and the target outbound information are processed based on the target inbound and outbound warning model to generate inventory information of the products to be stored. Assume that in a paper product manufacturing park, there is a batch of newly produced paper cups waiting to be stored. The target inbound and outbound warning model analyzes the status of the products to be stored based on historical data, current market demand and other factors. The storage information indicates that the paper cups will be stored in a special finished product warehouse using pallets of specific specifications. The target outbound information shows that there are currently no urgent orders for paper cups, and it is expected that some regular orders may be required to be shipped out within the next week. The target inbound and outbound warning model combines this information to generate inventory information of the products to be stored, including the quantity, specifications, storage location and expected outbound time range of the paper cups.

[0056] Process the inventory information of the products to be entered into the warehouse, and generate the entry time and storage time of the products to be entered into the warehouse. According to the inventory information, combined with the production schedule and warehouse operation arrangement, determine the entry time of the paper cups. For example, after the production of paper cups is completed, they are expected to be put into the warehouse tomorrow afternoon after quality inspection and packaging. At the same time, according to the expected outbound time range in the target outbound information, estimate the storage time of the products to be entered into the warehouse. Assuming that there is an outbound demand within a week, the storage time may be between a few days and a week.

[0057] The entry time of the products to be entered and the storage time of the products to be entered are processed to generate the target entry threshold. The target entry threshold is generated by comprehensively considering factors such as the entry time and storage time of paper cups, as well as the storage capacity and turnover rate of the warehouse. For example, based on the warehouse space and previous inventory management experience, determine the reasonable inventory quantity range of paper cups under the current circumstances. If this range is exceeded, it may cause problems such as warehouse congestion and increased management costs. Assume that the target entry threshold is [X] paper cups.

[0058] If the target entry threshold is greater than the preset entry threshold, an early warning message is generated. The preset entry threshold is a safety value set according to the company's inventory management strategy and actual situation. If the target entry threshold is greater than the preset entry threshold, it means that the inventory may exceed the reasonable range. For example, in actual production, due to order changes or production plan adjustments, the number of paper cups entering the warehouse exceeds expectations, resulting in the target entry threshold being greater than the preset entry threshold. At this time, the system generates an early warning message to remind managers to pay attention to inventory risks. The early warning information may include the specific circumstances of the inventory exceeding the standard and the possible impact.

[0059] Production is scheduled according to orders, and it is usually a one-to-one "customized" mode. The early warning information is processed to generate in-and-out warehouse management information. After receiving the early warning information, the manager will process it in combination with this special sales model to generate in-and-out warehouse management information. In the case of paper cups, considering the cooperative relationship with the brand, the following measures may be taken: On the one hand, communicate with the brand about the order situation, adjust the production plan based on feedback, reduce the production quantity of paper cups, and avoid further increase in inventory. At the same time, optimize the warehouse layout, improve space utilization, and ensure that inventory management meets the requirements of cooperation with the brand. In-and-out warehouse management information includes specific adjustment measures, responsible personnel, time nodes, etc., so as to effectively manage inventory and ensure the normal operation of paper product manufacturers in cooperation with brand owners.

[0060] This application obtains the target park information, the product warehousing request sent by the target terminal, and the target warehousing entry and exit warning model by the server. The target park information covers the geographical location, floor space, warehouse layout and storage capacity, etc. For example, a paper product manufacturing park located in the economic development zone of a certain city has multiple standardized warehouses with clear divisions and is equipped with advanced logistics facilities such as AGV carts and automated shelves. When production is completed, the target terminal will send a product warehousing request, which contains information such as the quantity, specifications, and batch of the product. At the same time, an outbound warning model is established based on customer orders and inventory status to ensure timely arrangements for production and procurement, such as issuing a warning when the carton inventory is below the threshold or the ink inventory is about to be insufficient.

[0061] Next, the product entry request is processed to generate the attribute information and product identification information of the target material. The material type and quantity of the product to be entered are determined, other related material information is obtained, product identification information is generated, materials are classified, and finally the attribute information of the target material is determined to provide a basis for subsequent production and inventory management. Then, by processing the material identification information and the target park information, the outbound priority of the product to be entered is generated. The production equipment set and production progress information in the park are determined to arrange the production scheduling of the product to be entered. The product entry time is determined according to the order requirements and historical data, and then the outbound priority is determined in combination with the production scheduling information to ensure that urgent orders are processed first.

[0062] The target park information is processed based on the attribute information of the target material to generate the storage information of the products to be stored. The preset product storage area is generated according to the layout of the park warehouse, and the material storage classification information is further subdivided and the real-time storage information is obtained. The storage area is determined according to the attributes of the target material, the matching pallet information is obtained and the handling information is generated, and the storage information is finally determined to achieve efficient inventory management and material tracking. The product identification information is processed using the attribute information of the target material to generate the preset outbound information of the products to be stored. Then, based on the outbound priority of the products to be stored, the storage information and the preset outbound information are processed to generate the pallet information, the inbound and outbound time and location information, and the target outbound information, and the outbound of products with different priorities is reasonably arranged.

[0063] Finally, based on the target in-and-out warning model, the storage information and target out-and-in information are processed. Generate inventory information of products to be stored, determine the storage time and storage time, and then generate the target storage threshold. If the target storage threshold is greater than the preset storage threshold, generate warning information, and generate in-and-out management information after processing the warning information. By adjusting the production plan, promoting sales and out-and-in, and optimizing the warehouse layout, ensure reasonable inventory management and normal operation of the enterprise. The paper product manufacturing park can achieve efficient and accurate in-and-out management, meet customer needs, and improve operational efficiency and corporate competitiveness.

[0064] In one embodiment, if Figure 2 As shown, the present application also provides a management device for intelligent manufacturing and warehousing in and out based on MES and WMS, including: The acquisition module 201 is used to acquire the target park information, the product entry request sent by the target terminal and the target entry and exit warning model, wherein the product entry request includes material identification information; The processing module 202 is used to process the product entry request and generate the attribute information and product identification information of the target material, wherein the attribute information of the target material is used to characterize the material characteristic information of the product to be entered, and the product identification information is used to characterize other material information matching the product to be entered; the material identification information and the target park information are processed to generate the exit priority of the product to be entered; the target park information is processed based on the attribute information of the target material to generate the storage information of the product to be entered; the product identification information is processed based on the attribute information of the target material to generate the preset exit information of the product to be entered; the storage information of the product to be entered and the preset exit information of the product to be entered are processed based on the exit priority of the product to be entered to generate the target exit information; the storage information of the product to be entered and the target exit information are processed based on the target entry and exit warning model to generate entry and exit management information.

[0065] The present application embodiment provides an electronic device, such as Figure 3 As shown, the electronic device 3 includes a first processor 300, a memory 301, a bus 302 and a communication interface 303, and the first processor 300, the communication interface 303 and the memory 301 are connected via the bus 302; the memory 301 stores a computer program that can be run on the first processor 300, and when the first processor 300 runs the computer program, it executes the intelligent manufacturing and warehousing in-and-out management method based on MES and WMS provided in any of the aforementioned embodiments of the present application.

[0066] The bus 302 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 301 is used to store programs, and the first processor 300 executes the programs after receiving the execution instruction. The intelligent manufacturing and warehousing in-and-out management method based on MES and WMS disclosed in any implementation of the embodiment of the present application may be applied to the first processor 300, or implemented by the first processor 300.

[0067] The first processor 300 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by the hardware integrated logic circuit or software instructions in the first processor 300. The above-mentioned first processor 300 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a readily available programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present application can be embodied as being executed by a hardware decoding processor, or by a combination of hardware and software modules in a decoding processor. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 301, and the first processor 300 reads the information in the memory 301 and completes the steps of the above method in combination with its hardware.

[0068] The electronic device provided in the above-mentioned embodiments of the present application and the intelligent manufacturing and warehousing entry and exit management method based on MES and WMS provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0069] The present application embodiment provides a computer-readable storage medium, such as Figure 4 As shown, the computer-readable storage medium stores 401 a computer program, and when the computer program is read and executed by the second processor 402, the aforementioned intelligent manufacturing and warehousing in-and-out management method based on MES and WMS is implemented.

[0070] The computer-readable storage medium provided in the above-mentioned embodiments of the present application and the intelligent manufacturing and warehousing entry and exit management method based on MES and WMS provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

[0071] The computer program product provided by the above-mentioned embodiments of the present application and the intelligent manufacturing and warehousing entry and exit management method based on MES and WMS provided in the embodiments of the present application are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented by the application programs stored therein.

Claims

1. A management method for intelligent manufacturing and warehousing in and out based on MES and WMS, characterized in that: include: Obtain target park information, product warehousing requests sent by target terminals, and target warehousing entry and exit warning models, wherein the product warehousing request includes material identification information; Processing the product entry request to generate target material attribute information and product identification information, wherein the target material attribute information is used to characterize the material characteristic information of the product to be entered into the warehouse, and the product identification information is used to characterize other material information matching the product to be entered into the warehouse; Process the material identification information and the target park information to generate the outbound priority of the products to be stored; Processing the target park information based on the attribute information of the target material to generate storage information of the product to be stored; Processing the product identification information based on the attribute information of the target material to generate preset outbound information of the product to be stored; Processing the storage information of the product to be stored and the preset outbound information of the product to be stored based on the outbound priority of the product to be stored, and generating target outbound information; Based on the target warehouse-in and warehouse-out warning model, the storage information of the products to be warehoused and the target warehouse-out information are processed to generate warehouse-in and warehouse-out management information.

2. The method according to claim 1, characterized in that Process product entry requests and generate target material attribute information and product identification information, including: Processing the product entry request to generate material information of the product to be entered, wherein the material information of the product to be entered is used to characterize the material type of the product to be entered and the quantity information matching the material type; Obtaining other material information that matches the material information of the product to be stored, wherein the other material information includes material information included in storage requests for different products; Process other material information that matches the material information of the product to be stored to generate product identification information; Processing the material information of the products to be stored to generate material classification information of the products to be stored; The material classification information of the product to be stored is processed to generate attribute information of the target material.

3. The method according to claim 1, characterized in that The material identification information and the target park information are processed to generate the outbound priority of the products to be stored, including: Processing the target park information to generate a production equipment set and production progress information matching the production equipment set; Process the production equipment set and the production schedule information matching the production equipment set to generate production scheduling information for products to be put into storage; Processing the material identification information to generate outbound information of the product to be stored, wherein the outbound information of the product to be stored is used to represent the storage time of the product to be stored; The outbound information of the products to be stored is processed based on the production scheduling information of the products to be stored, and the outbound priority of the products to be stored is generated.

4. The method according to claim 1, characterized in that The target park information is processed based on the attribute information of the target material to generate storage information of the product to be stored, including: Processing the target park information to generate a preset product storage area; Processing the preset product storage area to generate material storage classification information and real-time storage information matching the material storage classification information; Processing the material storage classification information based on the attribute information of the target material to generate a storage area for the target material; Obtain pallet information that matches the target material storage area; Processing the pallet information matching the target material storage area based on the attribute information of the target material to generate the handling information of the product to be stored; The storage area of ​​the target material and the handling information of the product to be stored are processed to generate storage information of the product to be stored.

5. The method according to claim 4, characterized in that The storage information of the product to be stored and the preset outbound information of the product to be stored are processed based on the outbound priority of the product to be stored to generate target outbound information, including: Processing the storage information of the product to be stored and the preset outbound information of the product to be stored based on the outbound priority of the product to be stored, and generating pallet information of the product to be stored, wherein the pallet information of the product to be stored is used to characterize the storage and outbound situation of the product to be stored; Processing the pallet information of the product to be stored, generating the storage time and location information of the product to be stored; The entry and exit time of the product to be stored and the location information of the product to be stored are processed to generate target outbound information.

6. The method according to claim 1, characterized in that Obtain the target inbound and outbound warning model, including: Obtaining a training sample set and an initial inbound and outbound warning model, wherein the initial inbound and outbound warning model is generated based on historical product order information of the target park; Extracting features from the training sample set to determine an original feature library; Divide each feature data set according to the original feature library to generate a training set and a validation set; Use the classifier to divide the original feature library into various verification sets for prediction and generate prediction results; Based on the preset algorithm, the original feature library is divided into various training sets for training, and the prediction results of the validation set are obtained; Processing the prediction result and the validation set prediction result to generate target feature data; The initial warehouse entry and exit warning model is processed based on the training sample set with target feature data to generate a target warehouse entry and exit warning model.

7. The method according to claim 5, characterized in that Based on the target warehouse entry and exit warning model, the storage information of the product to be entered and the target warehouse exit information are processed to generate warehouse entry and exit management information, including: Processing the storage information of the product to be stored and the target outbound information based on the target inbound and outbound early warning model to generate inventory information of the product to be stored; Processing the inventory information of the products to be stored in the warehouse to generate the storage time of the products to be stored in the warehouse and the storage time of the products to be stored in the warehouse; Processing the entry time of the product to be entered and the storage time of the product to be entered to generate a target entry threshold; If the target storage threshold is greater than the preset storage threshold, a warning message is generated; The warning information is processed to generate warehouse entry and exit management information.

8. A management device for intelligent manufacturing and warehousing in and out based on MES and WMS, characterized in that: The device comprises: An acquisition module is used to acquire target park information, a product entry request sent by a target terminal, and a target entry and exit warning model, wherein the product entry request includes material identification information; A processing module is used to process product entry requests and generate attribute information and product identification information of target materials, wherein the attribute information of the target materials is used to characterize the material characteristic information of the products to be entered, and the product identification information is used to characterize other material information matching the products to be entered; the material identification information and the target park information are processed to generate the exit priority of the products to be entered; the target park information is processed based on the attribute information of the target materials to generate the storage information of the products to be entered; the product identification information is processed based on the attribute information of the target materials to generate the preset exit information of the products to be entered; the storage information of the products to be entered and the preset exit information of the products to be entered are processed based on the exit priority of the products to be entered to generate the target exit information; the storage information of the products to be entered and the target exit information are processed based on the target entry and exit warning model to generate entry and exit management information.

9. An electronic device, characterized in that: include: a first processor; and a memory for storing executable instructions of the first processor; Wherein, the first processor is configured to execute the intelligent manufacturing and warehousing in-and-out management method based on MES and WMS as described in any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the second processor, the method for managing intelligent manufacturing and warehousing in and out based on MES and WMS as described in any one of claims 1 to 7 is implemented.

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