Glass production full life cycle management and control system
The glass production lifecycle management system solves the problems of delayed information collection, lack of traceability, and isolated system data, and realizes real-time data linkage and closed-loop control, thereby improving the efficiency and quality stability of production management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- TRIUMPH DIGITAL INTELLIGENCE INFORMATION TECH (SHANGHAI) CO LTD
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-14
AI Technical Summary
Glass manufacturing enterprises face problems in production management such as delayed information collection, lack of traceability, disconnect between quality inspection and production, chaotic warehousing and shipping management, and isolated system data, which affect production efficiency and quality stability.
A glass production lifecycle management system is adopted, which uses order management, production planning, warehousing management and outbound management units to achieve automatic data collection and real-time linkage through terminal barcode scanning, forming a closed-loop control from order receipt to delivery fulfillment.
It improved the accuracy of information collection, enhanced production collaboration efficiency, ensured quality traceability and inventory accuracy, and reduced management costs and after-sales risks.
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Figure CN121860804A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of glass production line technology, and in particular to a control system for the entire life cycle of glass production. Background Technology
[0002] With the deepening of digital transformation in the manufacturing industry, discrete manufacturing sectors such as glass are placing increasingly stringent demands on the real-time nature of information in the production process, product traceability, and execution accuracy. The production processes of these manufacturing enterprises are characterized by multiple parallel processes, diversified customer needs, and differentiated product specifications. Especially in the deep processing of glass, multiple interconnected stages such as cutting, edging, tempering, quality inspection, and packaging are required, placing extremely high demands on the systematic and collaborative nature of production management. However, existing traditional production management models generally suffer from the following technical defects, which have become key bottlenecks restricting enterprises from improving production efficiency and ensuring quality stability: The information collection methods are outdated, lacking real-time performance and accuracy. In current production management, the collection of production data (including output, production progress, yield rate, etc.) mainly relies on manual filling out of paper documents such as daily production reports, quality inspection records, and warehouse receipts, or on decentralized manual data entry. In the multi-process, multi-shift production scenarios of glass manufacturing enterprises, production lines are widely distributed and process changes are frequent. Manual data collection is not only time-consuming and labor-intensive, but also prone to data omissions and errors, resulting in delayed production data transmission. Management cannot obtain real-time information on the on-site production status, which in turn affects the timeliness and scientific nature of production decisions. Lack of traceability in the production process makes it difficult to determine quality responsibility. Traditional production models lack a unified batch identification or packing number traceability system, resulting in a lack of uniquely identifiable tracking devices for products throughout various processing steps, quality inspection stages, and distribution processes. When customer complaints or quality anomalies occur, it is impossible to quickly locate the responsible process, operator, and production conditions corresponding to the problematic product, leading to lengthy and costly traceability paths. Furthermore, the lack of an effective barcode tracking mechanism easily leads to issues such as on-site rework, missed inspections, and incorrect shipments, significantly increasing after-sales risks and management costs for enterprises.
[0003] The quality inspection process is disconnected from the production process, and a closed-loop quality control system has not been formed. Current quality inspection work still relies on paper-based sampling forms and manual recording, which is not only inefficient but also suffers from data entry delays and errors in judgment results. More importantly, quality inspection results cannot be fed back to the production process in real time, which may lead to defective products being mistakenly put into storage or shipped directly, affecting customer satisfaction. In addition, there is a lack of data linkage between the quality inspection system and the production planning system, which prevents the formation of a closed-loop quality management system of "inspection-feedback-improvement," hindering the company from establishing a continuous optimization quality control mechanism. Decentralized warehousing and shipping management leads to insufficient accuracy in inventory and fulfillment. In terms of warehouse management, existing technologies mainly rely on manual registration or Excel ledgers to record inventory information. The lack of system-level verification mechanisms for inbound and outbound operations leads to discrepancies between inventory data and actual inventory. The shipping process relies on manual verification of orders and physical goods, which easily results in mis-shipments, omissions, and over-shipments. Because inventory data is not updated in a timely manner, the sales and production planning departments cannot accurately grasp the quantity of shippable inventory, directly impacting order fulfillment rates. Furthermore, the lack of barcode scanning linkage and system collaboration between the warehousing and other production processes creates information silos, hindering overall production flow efficiency. Data silos exist between systems, and the ability to perform closed-loop business analysis and interconnection is lacking. In most traditional manufacturing enterprises, order management systems, production execution systems, quality control systems, and warehouse management systems operate independently, lacking unified data interfaces and standardized data interaction specifications. Information transfer between different departments relies on manual data export and import, resulting in data delays, easy data loss, and an inability to form a complete business process loop. Furthermore, the existing model lacks a real-time data aggregation and centralized analysis mechanism, making it difficult for management to fully grasp key operational indicators such as capacity utilization, inventory turnover, and order progress, thus affecting the scientific nature and efficiency of the enterprise's overall operational decision-making. In summary, the traditional production management model for discrete manufacturing enterprises such as glass manufacturers suffers from several technical problems, including lagging information collection, lack of traceability, disconnect between quality inspection and production, chaotic warehousing and shipping management, and isolated system data. These issues have severely impacted the enterprises' production efficiency, product quality stability, and market competitiveness. Therefore, there is an urgent need for an intelligent management technology centered on terminal barcode scanning to achieve automatic information collection, real-time linkage, and closed-loop control throughout the entire process from order receipt, production execution, quality control, warehousing management to delivery fulfillment, thereby addressing the aforementioned shortcomings of existing technologies. Summary of the Invention
[0004] To address the aforementioned problems in existing technologies, a technical solution for a glass production lifecycle management and control system is provided. This system aims to resolve common issues in glass manufacturing and deep processing enterprises, such as lagging production process information, difficulties in quality traceability, chaotic inventory management, and data fragmentation between systems. The specific technical solution includes: A management and control system covering the entire lifecycle of glass production, applied to glass manufacturing enterprises; comprising: The order management unit is used to manage the input sales orders, which are associated with sales order numbers; The production planning management unit, connected to the order management unit, is used to break down the sales order into production planning sheets that are respectively associated with the raw material production task and the deep processing task. The production planning sheet is associated with the production planning sheet number, and the production planning sheet number is bound to the sales order number of the corresponding sales order. The warehousing management unit is connected to the order management unit and the production planning management unit, respectively. It is used to generate customized packing information based on the sales order and the production plan, and to manage the warehousing of the completed materials based on the packing information. The outbound management unit is connected to the inbound management unit and is used for outbound management based on the input shipping order and the packing information.
[0005] Preferably, in this control system, the order management unit includes: The order information collection module is used to collect basic information of the sales order and construct the data framework of the sales order; The order association module, connected to the order information collection module, is used to automatically associate the sales order with different production departments based on the basic information of the sales order; The order binding module, connected to the order information collection module, is used to automatically bind the sales order to different operation roles based on the basic information of the sales order; The order task generation module is used to automatically generate production tasks associated with the sales order based on the current status of the sales order; The order verification module is connected to the order information collection module and is used to verify the basic information within the same sales order.
[0006] Preferably, in this control system, the order management unit further includes: The order information modification unit is used to provide users with the ability to modify the order information of the sales order; A change monitoring unit, connected to the order information change unit, is used to record and monitor the user's actions in changing the order information.
[0007] Preferably, in this control system, the production planning management unit includes: The task decomposition module is used to automatically decompose the sales order to generate the raw film production task and the deep processing task. The execution order of the deep processing task is after the corresponding raw film production task. The production information in the production plan of the deep processing task is inherited from the production plan of the corresponding raw film production task. The specification linkage calculation module is connected to the task decomposition module and is used to perform constraint verification on the specifications of the post-production materials corresponding to the original film production task and the specifications of the post-production materials corresponding to the deep processing task. The task collaboration management module, connected to the task decomposition module, is used for collaborative management of the raw material production task and the corresponding deep processing task.
[0008] Preferably, in this control system, the ticket information includes at least the basic information of the purchasing customer, the material attribute information of the completed materials, and the logistics attribute information of the transported materials.
[0009] Preferably, in this control system, the ticket information is printed as a ticket QR code and affixed to the packaging box of the incoming materials.
[0010] Preferably, the control system further includes: The quality inspection unit, connected to the warehousing management unit, is used to adjust the actual quantity of materials entering the warehouse based on the results of quality inspection. The quality inspection unit includes: The first quality inspection module is used to inspect the materials in the production process and obtain the quantity of the first type of non-conforming materials. The second quality inspection module is used to inspect the materials after production is completed and to obtain the quantity of the second type of non-conforming materials. The quality inspection unit is used to process the theoretical quantity of materials completed, the first type of non-conforming quantity, and the second type of non-conforming quantity to obtain the actual quantity of materials put into storage after production is completed.
[0011] Preferably, in this control system, the warehousing management unit includes: The inbound verification module is used to verify the materials entering the warehouse based on the packing information, the basic information of the purchasing customer, and the information of the purchase order. The dynamic update module is used to automatically calculate the total inventory of materials after each inbound process and automatically update the inventory ledger. The operation log module is used to generate a transaction log after each inbound operation.
[0012] Preferably, in this control system, the outbound management unit includes: The manifest generation module is used to generate corresponding shipping manifests based on the outbound requirements of purchasing customers. The verification module, connected to the list generation module, is used to verify whether the shipment status is consistent with the shipment list based on the packing information, and generate a shipment confirmation form when they are consistent to support the shipment operation. The logistics tracking module is used to automatically record logistics process information after the shipment operation is completed.
[0013] The beneficial effects of the above technical solution are: full life cycle control runs through the entire process of production, quality inspection, warehousing and delivery, enabling production management to shift from manual to data-driven, and significantly improving the accuracy of information collection and the efficiency of production collaboration. Attached Figure Description
[0014] Figure 1 This is a system schematic diagram of a glass production lifecycle management and control system, which is a preferred embodiment of the present invention. Figure 2 This is a schematic diagram of the specific modules of the order management unit in a preferred embodiment of the present invention; Figure 3 This is a schematic diagram of the specific modules of the production planning management unit in a preferred embodiment of the present invention; Figure 4 This is a schematic diagram of the specific modules of the quality inspection unit in a preferred embodiment of the present invention; Figure 5 This is a schematic diagram of the specific modules of the warehouse management unit in a preferred embodiment of the present invention; Figure 6 This is a schematic diagram of the specific modules of the outbound management unit in a preferred embodiment of the present invention. Detailed Implementation
[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.
[0017] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the scope of the invention.
[0018] In a preferred embodiment of the present invention, a control system for the entire lifecycle of glass production is provided, the structure of which is as follows: Figure 1 As shown, it includes: Order Management Unit 1 is used to manage the input sales orders, which are associated with the sales order number; Production planning management unit 2 is connected to order management unit 1 and is used to break down sales orders to generate production planning sheets that are associated with the original film production task and the deep processing task respectively. The production planning sheet is associated with the production planning sheet number, and the production planning sheet number is bound to the sales order number of the corresponding sales order. The warehousing management unit 3 is connected to the order management unit 1 and the production planning management unit 2 respectively. It is used to generate customized packing information based on sales orders and production plans, and to manage the warehousing of materials that have been produced based on the packing information. Outbound management unit 4 is connected to inbound management unit 3 and is used for outbound management based on the input shipping order and packing information.
[0019] Specifically, the control system in this invention is driven by sales orders, automatically linking sales input (sales order number), production arrangement (production plan number), warehousing operation (packing and ticket information) and outbound operation into a unified task chain. Each task node has a unique work order number, which forms a one-to-one correspondence with information such as customer, specification, and order number, thereby providing an information basis for subsequent tracking.
[0020] Furthermore, based on the aforementioned interconnected information, operators can use barcode scanning terminals to input data at each stage of the glass production lifecycle (production, quality inspection, warehousing, shipping, etc.), thereby automatically triggering the corresponding business logic in the background. For example, during production, scanning the order number on the material production plan generates the corresponding quality inspection order; during warehousing, scanning the packing slip information generates the warehousing slip; and during outbound operations, scanning the packing slip information generates the outbound slip, and so on.
[0021] Furthermore, unlike control systems in general technical fields, the control system in this invention, in order to adapt to the special needs of glass production, requires breaking down orders into raw sheet production tasks and deep processing tasks when formulating production plans. The deep processing tasks follow the raw sheet production tasks. Therefore, during the breakdown process, it is necessary to ensure that the production elements of these two production plans correspond to each other, so that the processing technology can be seamlessly connected.
[0022] In a preferred embodiment of the present invention, such as Figure 2 As shown, the order management unit 1 includes: Order information collection module 11 is used to collect basic information of sales orders and build the data framework of sales orders; The order association module 12 is connected to the order information collection module 11 and is used to automatically associate sales orders with different production departments based on the basic information of the sales orders. The order binding module 13 is connected to the order information collection module 12 and is used to automatically bind the sales order to different operation roles based on the basic information of the sales order. The order task generation module 14 is used to automatically generate production tasks associated with the sales order based on the current status of the sales order. The order verification module 15 is connected to the order information collection module 11 and is used to verify the basic information within the same sales order.
[0023] Specifically, in this embodiment, the order information collection module 11 is used to obtain relevant order information when a sales order is entered. The basic information of the sales order may include the basic information of the customer corresponding to the sales order, customer type, product specifications, product delivery date, and current product inventory. Of course, to achieve the technical objectives of this invention, the basic information of the sales order may also include any other information commonly found in this technical field that can influence subsequent production, warehousing, and outbound processes; these will not be elaborated upon here.
[0024] The aforementioned methods for entering sales orders can include manual entry by operators and automatic parsing and information retrieval, such as obtaining key contract information by parsing signed contracts to construct sales orders.
[0025] In this embodiment, after a sales order is constructed and its basic information is collected, the order association module 12 automatically associates the sales order with different operational departments according to preset rules, such as the R&D department, process department, or manufacturing engineering department. Simultaneously, the order binding module 13 binds the sales order with the roles of the salesperson and administrator specifically responsible for that sale, thereby achieving access control.
[0026] In this embodiment, the order task generation module 14 automatically generates production tasks associated with the sales order based on the current status of the sales order. The current status can be basic information about the sales order, such as using the interval between the delivery date in the sales order and the current date to form a time baseline for production scheduling, thereby planning the production time nodes of each process node in the production plan, or determining the priority of the production plan based on the time difference between the delivery date in the sales order and the current date.
[0027] In this embodiment, the order verification module 15 is mainly used to perform rule verification of product uniqueness constraints on the order details area of the sales order. For example, the order verification module 15 verifies the duplication of products within the same sales order in real time to avoid production conflicts. Another example is that the order verification module 15 verifies the processing method, specifications, packaging method, etc., of the products in the sales order, directly linking them to subsequent production execution.
[0028] In addition, the aforementioned order management unit 1 can automatically calculate derived data such as the number of pieces / boxes, total number of boxes, and total area to be produced based on order parameters in various sales orders, providing data support for material preparation. Simultaneously, order management unit 1 can also provide users with attachments to build order knowledge (such as technical specifications), supporting version control of technical documents and design drawings, thereby forming a reusable technical asset library.
[0029] In a preferred embodiment of the present invention, it is still as follows Figure 2 As shown, the order management unit 1 also includes: The order information modification unit 16 is used to provide users with the ability to modify the order information of sales orders; The change monitoring unit 17 is connected to the order information change unit 16 and is used to record and monitor the user's behavior of changing order information.
[0030] Specifically, in this embodiment, the order modification unit 16 allows users to modify the order information of sales orders. Simultaneously, the modification monitoring unit 17 records and monitors each user's modification of a sales order and provides a "before / after modification" selection box for users to view the orders before and after the modification, thereby achieving version traceability.
[0031] In this invention, the aforementioned order management unit is used to manage sales orders as a whole. By combining logical coupling with implementation verification rules, closed-loop control of order data from entry, modification, tracking to production conversion can be achieved, thereby transforming discrete orders into executable production elements and building a direct conversion channel from sales orders to production plans.
[0032] In a preferred embodiment of the present invention, such as Figure 3 As shown, the production planning management unit 2 includes: The task decomposition module 21 is used to automatically decompose sales orders into raw material production tasks and deep processing tasks. The execution order of deep processing tasks is after the corresponding raw material production tasks. The production information in the production plan of the deep processing task is inherited from the production plan of the corresponding raw material production task. The specification linkage calculation module 22 is connected to the task decomposition module 21 and is used to perform constraint verification on the specifications of the post-production materials corresponding to the original film production task and the specifications of the post-production materials corresponding to the corresponding deep processing task. The task collaboration management module 23 is connected to the task decomposition module 22 and is used for collaborative management of the original film production task and the corresponding deep processing task.
[0033] Specifically, in this embodiment, the production planning management unit 2 uses sales orders as the driving source, automatically associating the sales order number of the sales order with the production plan number of the production plan, and automatically breaking down the sales order into production plan forms related to the raw material production task and production plan forms related to the deep processing task. Specifically, the raw material production task associated with the same sales order is followed by the corresponding deep processing task, and the production plan numbers of the production plan forms for both types of production tasks are associated with the sales order number of the original sales order.
[0034] Furthermore, to achieve deep integration, sales orders and production plans are cascaded and linked using basic data such as the total number of sheets ordered, customer information of purchasing clients, and product specifications. The production plan for the raw glass production task focuses primarily on the basic production parameters of the glass substrate, such as raw glass specifications, number of sheets produced, and total area. The production plan for the deep processing task corresponding to the raw glass production task inherits the aforementioned basic production parameters and adds further process parameters, such as processing method, finished product size, and packaging type. This two separate production plans—one for raw glass production and one for deep processing—build a complete production chain from substrate to finished product.
[0035] The specification linkage calculation module 22 is mainly used to perform constraint verification between the basic specifications (length, width, and thickness) of the original wafer in the production plan of the original wafer production task and the finished product specifications in the production plan of the deep processing task. Specifically, the specification linkage calculation module 22 automatically verifies the processing feasibility based on the basic specifications of the original wafer in the production plan of the original wafer production task, according to various process parameters in the deep processing process (such as the type of coating solution) and loss probability (such as loss calculation using a preset cutting loss model), thereby ensuring that the size of the original wafer can cover the finished product requirements and avoiding situations where the size of the original wafer itself is unprocessable.
[0036] The basic specifications in the production plan for the original film production task and the finished product specifications in the production plan for the deep processing task can both be obtained through the corresponding sales orders.
[0037] After calculating and verifying the product specifications, the specification linkage calculation module 22 strongly correlates the finished product specifications in the production plan of the deep processing task with the raw sheet specifications in the production plan of the raw sheet production task. This enables the function of reverse tracing of the finished product to the substrate, allowing for closed-loop execution of quality control of production parameters. Furthermore, by performing specification linkage calculations and verifications for the raw sheet production task and the deep processing task, the specification linkage calculation module 22 can significantly reduce material waste caused by unreasonable glass cutting schemes.
[0038] The task collaboration management unit 23 is mainly used for collaborative management of raw material production tasks and deep processing tasks from the same sales order.
[0039] For example, if the production status of the production plan for the raw material production task corresponding to a sales order is "pending production", it means that the raw material production task has not yet started. At this time, the production status of the production plan for the deep processing task corresponding to the sales order is locked as "not started" and cannot be changed to "start production" or a similar production status through means such as manual modification.
[0040] For example, if the production status of the production plan for the original film production task is "completed", it can automatically trigger the production schedule of the corresponding deep processing task, thereby avoiding a disconnect in the production rhythm.
[0041] Therefore, the above-mentioned task collaboration management unit 23 implements a mechanism for cascading updates of task status, which can ensure seamless connection between various process nodes, such as float glass production process and corresponding deep processing process, thereby improving overall delivery efficiency.
[0042] In addition, the production planning management unit 2 can automatically schedule production tasks based on the production status of production plans. For example, if the current production status of a production plan is "pending production," and the remaining time for the production scheduling of that production plan (which can be obtained from the generation time, delivery time, and production process of the corresponding sales order) is less than a certain preset threshold, or if the remaining time is ranked higher among all production plans with the production status of "pending production," then the production planning management unit 2 can dynamically calculate the capacity and allocate the priority of the production plans. Based on the status of the process tasks (raw material production tasks / deep processing tasks) associated with the production plan, the production plan will be scheduled with priority.
[0043] In this embodiment, after generating production plan sheets related to the original film production task and production plan sheets related to the deep processing task, these production plan sheets will be pushed to the barcode scanning terminals of each work section for operators to scan and confirm.
[0044] The aforementioned production plan may include information such as production batch number, customer name, product specifications, process name, expected production quantity, process requirements, and production priority. After the operator confirms the task information based on the production plan, a raw material requisition form will be automatically generated. After the material is requisitioned, the system will deduct the raw material inventory in real time to ensure that the raw material quantity is updated in real time.
[0045] During the production process, the system can automatically record the status of tasks, including tasks not started, tasks in production, tasks completed, etc., and statistically analyze data such as the actual production time, output, and yield rate of each process.
[0046] In a preferred embodiment of the present invention, the packing ticket information includes at least the basic information of the purchasing customer, the material attribute information of the completed materials, and the logistics attribute information of the transported materials. The packing ticket information is printed as a packing ticket QR code and affixed to the packaging box of the materials entering the warehouse.
[0047] Specifically, the sales order number, production plan number, and packing information mentioned in this invention all correspond to sales batches. For example, if a customer orders a batch of glass products in a single transaction, a sales order number, production plan number, and packing information corresponding to that order will be generated during the sales, production, warehousing, and outbound processes.
[0048] In this embodiment, the rules for generating ticket information may include: 1. The system supports the combination of multiple fields to generate unique packing ticket information, which may include the customer code of the purchasing customer, the purchase date, the batch number, the production line number, the product type, etc.
[0049] 2. Different purchasing customers can customize the numbering logic of the packing slip information and the style of the corresponding QR codes, such as packing slip information with customer internal codes or barcode formats. For existing customers, the packing slip information can be automatically generated and matched with the customer configuration when the production plan is generated.
[0050] 3. The generated packing information can also include fields such as the customer's company name, company introduction, product specifications, inspector's name, and packaging date.
[0051] Compared to the existing manual numbering method, the automatic generation of the above-mentioned ticket information is less prone to duplication and confusion, and its duplication rate can be reduced to 0.01%, which can be almost ignored.
[0052] The aforementioned ticket information is triggered and generated after the product is manufactured and passes quality inspection. It is then printed as a QR code label and affixed to the outer packaging of the product materials (such as a box or carton) for operators to scan and confirm in subsequent processes.
[0053] In a preferred embodiment of the present invention, such as Figure 1 As shown, the aforementioned control system also includes: Quality inspection unit 5 is connected to the warehousing management unit and is used to adjust the actual quantity of materials entering the warehouse based on the results of quality inspection.
[0054] Furthermore, such as Figure 4 As shown, the quality inspection unit 5 includes: The first quality inspection module 51 is used to inspect the materials in the production process and obtain the quantity of the first type of non-conforming materials. The second quality inspection module 52 is used to inspect the materials after production is completed and obtain the quantity of the second type of non-conforming materials. The quality inspection unit 5 is used to process the theoretical quantity of materials completed, the quantity of first-class non-conforming materials, and the quantity of second-class non-conforming materials to obtain the actual quantity of materials that have been put into storage after production is completed.
[0055] Specifically, in this embodiment, the quality inspection unit 5 mainly performs two types of quality inspections: one is to perform quality inspection during the production process, and the other is to perform quality inspection when the produced materials are obtained after production is completed.
[0056] For the first type of quality inspection, after the production task is submitted (after the production plan is generated and the process enters the "in production" state), the first quality inspection module 51 begins to perform production process quality inspection. During production, it mainly checks for defective products in multiple processes and obtains the corresponding original quantities. For example, it collects the quality inspection quantities of various defective products in processes such as drilling / coating / packaging in real time, and adds up the defective quantities to generate a total defect value, which is the first type of non-conforming quantity. In application, the above quality inspection can be automatically implemented by quality inspection machines, manually implemented by quality inspectors, or a combination of manual and automated methods. Quality inspectors can obtain production information through barcode scanning terminals and generate quality inspection confirmation forms. After the quality inspection is completed, they enter the qualified / unqualified quantities, record the reasons for non-conformity, and simultaneously issue a production rectification confirmation form to the production manager for rescheduling.
[0057] For the second type of quality inspection, after the original film production and deep processing tasks are completed, the finished material is obtained. The material is then inspected for several typical quality defects, such as poor edge grinding and poor tempering. The losses caused by these quality defects are mapped to production losses in real time, thus forming the number of defective products in the post-production quality inspection, which is the second type of non-conforming quantity.
[0058] Furthermore, for the control process associated with each sales order, the theoretical quantity of materials can be inferred based on the information in the sales order. Subtracting the quantities of the first and second categories of non-conforming materials from this theoretical quantity yields the actual quantity of materials that have passed quality inspection, which is also the actual quantity of materials that can be put into storage. This actual quantity of materials put into storage can be automatically calculated directly through the aforementioned quality inspection process without the need for manual verification.
[0059] Furthermore, the first and second quality inspection methods can corroborate each other, thus positively impacting production line improvements. For example, if the first inspection identifies a problem in a certain process on the production line, and the second inspection reveals a quality defect in the material corresponding to that process, a joint analysis can be established based on the results of both inspections to determine the optimization of process parameters. For instance, if the first inspection records an anomaly of "15-minute tempering fan malfunction," and the second inspection records a significant number of defective materials with "poor tempering," the results of both inspections can be combined to determine that the defective products were produced during the period when the tempering fan malfunctioned, thus allowing for attribution.
[0060] Furthermore, correlation analysis can be performed based on the specifications and defect rates of glass production to establish a process knowledge base, such as the combination of glass size and thickness, thereby guiding production scheduling to prioritize combinations of high-yield parameters for process preparation.
[0061] In a preferred embodiment of the present invention, such as Figure 5 As shown, the warehouse management unit 3 includes: The inbound verification module 31 is used to verify the materials entering the warehouse based on the packing information, the basic information of the purchasing customer, and the information of the purchase order. The dynamic update module 32 is used to automatically calculate the total inventory of materials after each inbound process and automatically update the inventory ledger. The operation record module 33 is used to generate a transaction record after each inbound operation.
[0062] Specifically, in this embodiment, upon receiving goods into the warehouse, the operator scans the QR code on the packaging to verify whether the packaging information, the basic information of the purchasing customer, and other information in the purchase order, such as the quantity and specifications of the materials, are consistent with the receiving slip. If there is a discrepancy, the receiving verification module will automatically issue an alarm.
[0063] In this embodiment, after the goods are received into the warehouse, the dynamic update module 32 will automatically calculate the total inventory and update the inventory ledger for this receipt to ensure that the inventory ledger is consistent with the real-time inventory situation.
[0064] In this embodiment, the operation record module 33 generates a log record for each inbound operation, and the dynamic update module 32 updates the inventory ledger based on the inbound operations recorded by the operation record module 33. Simultaneously, the operation record module 33 supports querying records by keywords such as time, customer, and product type.
[0065] Furthermore, the operation record module 33 can also generate a log record for each outbound operation, and the dynamic update module 32 can also update the inventory ledger based on the outbound operation.
[0066] In a preferred embodiment of the present invention, such as Figure 6 As shown, the outbound management unit 4 includes: The manifest generation module 41 is used to generate a corresponding delivery manifest based on the outbound requirements of the purchasing customer. The verification module 42 is connected to the manifest generation module. It is used to verify whether the shipment status is consistent with the shipment manifest based on the packing information, and generates a shipment confirmation form when they are consistent to support the shipment operation. The logistics tracking module 43 is used to automatically record logistics process information after the delivery operation is performed.
[0067] Specifically, in this embodiment, the outbound operation is mainly matched with the shipping manifest, which is automatically generated by the manifest generation module 41 by matching information such as the purchasing customer, material specifications, and quantity. When loading the truck, the operator will use a barcode scanner to scan the packing slip information on the material packaging one by one to verify whether it matches the shipping manifest. Only when the quantity, specifications, and other information are verified to be consistent will the verification module 42 generate a shipping confirmation slip. The logistics personnel will then pick up the goods and carry out transportation based on the shipping confirmation slip.
[0068] Furthermore, before / during each transport, logistics personnel need to upload the transport attributes of this transport (such as logistics vehicle information, driver information, transport time, shipper, recipient, etc.) to this system. Then, the logistics tracking module 43 automatically records the entire logistics process of material transport based on the above transport attributes and saves the logistics process information.
[0069] In addition, in this embodiment, the aforementioned control system can automatically summarize the completion status of production tasks and the quantity of items scanned and put into storage in the background, generating production statistics reports and capacity analysis charts. Authorized operators (such as sales personnel) can also view the real-time status of sales orders and related documents such as production plans, storage lists, and shipping lists, allowing them to understand the production, quality inspection, storage, and shipping status of orders at any time. The control system can also display information such as the completion rate of current sales orders in chart form.
[0070] The above description is merely a preferred embodiment of the present invention and does not limit the implementation and protection scope of the present invention. Those skilled in the art should realize that any equivalent substitutions and obvious changes made based on the description and illustrations of the present invention should be included within the protection scope of the present invention.
Claims
1. A management and control system for the entire lifecycle of glass production, applied to glass manufacturing enterprises; characterized in that, include: The order management unit is used to manage the input sales orders, which are associated with sales order numbers; The production planning management unit, connected to the order management unit, is used to break down the sales order into production planning sheets that are respectively associated with the raw material production task and the deep processing task. The production planning sheet is associated with the production planning sheet number, and the production planning sheet number is bound to the sales order number of the corresponding sales order. The warehousing management unit is connected to the order management unit and the production planning management unit, respectively. It is used to generate customized packing information based on the sales order and the production plan, and to manage the warehousing of the completed materials based on the packing information. The outbound management unit is connected to the inbound management unit and is used for outbound management based on the input shipping order and the packing information.
2. The control system according to claim 1, characterized in that, The order management unit includes: The order information collection module is used to collect basic information of the sales order and construct the data framework of the sales order; The order association module, connected to the order information collection module, is used to automatically associate the sales order with different production departments based on the basic information of the sales order; The order binding module, connected to the order information collection module, is used to automatically bind the sales order to different operation roles based on the basic information of the sales order; The order task generation module is used to automatically generate production tasks associated with the sales order based on the current status of the sales order; The order verification module is connected to the order information collection module and is used to verify the basic information within the same sales order.
3. The control system as described in claim 1, characterized in that, The order management unit also includes: The order information modification unit is used to provide users with the ability to modify the order information of the sales order; A change monitoring unit, connected to the order information change unit, is used to record and monitor the user's actions in changing the order information.
4. The control system as described in claim 1, characterized in that, The production planning management unit includes: The task decomposition module is used to automatically decompose the sales order to generate the raw film production task and the deep processing task. The execution order of the deep processing task is after the corresponding raw film production task. The production information in the production plan of the deep processing task is inherited from the production plan of the corresponding raw film production task. The specification linkage calculation module is connected to the task decomposition module and is used to perform constraint verification on the specifications of the post-production materials corresponding to the original film production task and the specifications of the post-production materials corresponding to the deep processing task. The task collaboration management module, connected to the task decomposition module, is used for collaborative management of the raw material production task and the corresponding deep processing task.
5. The control system as described in claim 1, characterized in that, The ticket information includes at least the basic information of the purchasing customer, the material attribute information of the completed materials, and the logistics attribute information of the transported materials.
6. The control system as described in claim 1, characterized in that, The ticket information is printed as a ticket QR code and affixed to the packaging box of the incoming materials.
7. The control system as described in claim 1, characterized in that, Also includes: The quality inspection unit, connected to the warehousing management unit, is used to adjust the actual quantity of materials entering the warehouse based on the results of quality inspection. The quality inspection unit includes: The first quality inspection module is used to inspect the materials in the production process and obtain the quantity of the first type of non-conforming materials. The second quality inspection module is used to inspect the materials after production and obtain the quantity of the second type of non-conforming materials. The quality inspection unit is used to process the theoretical quantity of materials completed, the first type of non-conforming quantity, and the second type of non-conforming quantity to obtain the actual quantity of materials put into storage after production is completed.
8. The control system as described in claim 1, characterized in that, The warehousing management unit includes: The inbound verification module is used to verify the materials entering the warehouse based on the packing information, the basic information of the purchasing customer, and the information of the purchase order. The dynamic update module is used to automatically calculate the total inventory of materials after each inbound process and automatically update the inventory ledger. The operation log module is used to generate a transaction log after each inbound operation.
9. The control system as described in claim 1, characterized in that, The outbound management unit includes: The manifest generation module is used to generate corresponding shipping manifests based on the outbound requirements of purchasing customers. The verification module, connected to the list generation module, is used to verify whether the shipment status is consistent with the shipment list based on the packing information, and generate a shipment confirmation form when they are consistent to support the shipment operation. The logistics tracking module is used to automatically record logistics process information after the shipment operation is completed.