53 results about "Production order" patented technology

The invention relates to a digital operation auxiliary method, system and equipment for multi-mode production and a medium. The method comprises the steps of obtaining production order information and generating an operation guidance program which comprises a process route, processes, steps and steps, and issuing the process route, the processes, the steps and the steps to an operation terminal. After receiving the operation guidance program, loading the first process information, and determining whether the qualification of the operator meets the requirement or not. And if yes, loading the bill of materials, guiding material taking, and verifying the materials through an indicating lamp or bar code scanning. And after material verification, executing a tool operation step, activating a tool through the operation terminal, setting control parameters, and completing tool operation. And after the operation is completed, collecting and recording operation data including results, material barcodes and tool states, and storing the operation data to the terminal. And judging whether the process is completed, if not, entering the next process step, and if so, uploading operation data. And if the process is the last process, generating and recording product resume information. According to the method, the cooperation efficiency and the quality control capability of the operation process are improved.

The invention provides an industrial production automatic scheduling method and system. The industrial production automatic scheduling method comprises the following steps: S1, multi-source data acquisition: acquiring corresponding data from a material information table, a production order information table, a material list and a process flow table, and based on an MQTT protocol, equipment sends an operation state, predicted maintenance time and equipment productivity information to a server in real time through an MQTT client to form a database; s2, cleaning and clustering the data in the database; s3, performing scheduling calculation by using a particle swarm algorithm to obtain an optimal scheduling scheme; and S4, transmitting the optimal scheduling scheme to a result output module, and generating a detailed report. Compared with the prior art, the scheduling scheme can be comprehensively optimized, the anti-interference capability of the system is enhanced, and the production management refinement degree is improved.

The invention relates to a method for filling a filling installation, comprising a step of receiving tasks to be performed and a set of resources to be used, a step of selecting available resources corresponding to the resources to be used, and of selecting the tasks to be performed and at least one production order such that the set of tasks to be performed of said at least one production order is selected, a step of defining a complete execution sequence of the selected tasks to be performed such that the time to perform each selected task to be performed is less than or equal to the available time of the selected available resources, and a step of filling at least a portion of the plurality of available containers according to the complete execution sequence. Abstract figure: Fig. 1

The invention belongs to the technical field of scheduling optimization, and discloses a manufacturing industry advanced plan scheduling system and method based on artificial intelligence, and the method comprises the steps: generating an initial scheduling scheme according to production order data and manufacturing resource constraint data; analyzing the initial scheduling scheme to establish a basic time sequence graph, and performing man-hour probability distribution fitting on each task node based on historical production data to obtain a probability time sequence graph; and traversing each task node, calculating and correcting the material ready time based on the man-hour probability distribution function of the previous task node and a preset on-time completion confidence coefficient, updating the plan time of each task node, and obtaining a final production schedule. Adjacent processes form a parallel overlapping relation by starting a time delay mechanism, so that the production cycle is effectively shortened; and meanwhile, the planned time is dynamically adjusted based on the man-hour probability distribution, the time margin can be reserved according to the difference of the actual fluctuation characteristics of each process, and the robustness of the scheduling scheme is improved.

The invention discloses an article scheduling method, a processor and a program product. The method comprises the steps that in response to an obtained production work order, the production work order is analyzed, work order demand data is obtained, the production work order is used for requesting to schedule articles stored in a storage area, and the work order demand data is used for representing to-be-scheduled articles needing to be scheduled in the storage area and scheduling information of the to-be-scheduled articles; according to the work order demand data, scheduling authority information of a warehouse management object of the storage area is determined, and the scheduling authority information is used for representing the authority of allowing the warehouse management object to schedule the to-be-scheduled article; and in response to a scheduling instruction from the warehouse management object, satisfying the scheduling permission information, and scheduling the to-be-scheduled article according to the scheduling instruction. The technical problem of low data processing efficiency is solved.

The invention relates to a computer-aided manufacturing process (10) for producing workpieces (12, 12a, 12b, 14, 16) by means of several workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) defined in manufacturing orders (18, 18a-c) from several workpiece blanks (26) with a manufacturing system (28) comprising the process steps: a) Forming (30) a processing queue (32) by separating the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) contained in the production orders (18, 18a-c) by assigning an order affiliation; b) Creating (36) a cross-order production plan (38) by positioning at least some of the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) provided in the processing stock (32) on one or more workpiece blanks (26); c) Establishing (40) a partial production plan (42a-d) of the production plan (38), wherein the partial production plan (42a-d) provides for the production of the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) positioned on a single workpiece blank (26), wherein the establishment is carried out taking into account a occupancy level of the workpiece blank (26); d) Manufacturing (44) the workpieces (12, 12a, 12b, 14, 16) according to the workpiece orders (20, 20a, 20b, 22, 22a, 22b, 24, 24a, 24b) of the part production plan (42a-d). The invention also relates to a manufacturing system (28).

The invention discloses a production scheduling method and device, equipment and a medium. The method comprises the steps of obtaining order information of a production order and equipment information of production equipment; determining at least one target device in the at least one production device based on the order information of the production order and the device information of the production device, and determining an initial production process; acquiring state information of the at least one target device in a production process according to the initial production process; and determining an optimized production process according to the order information, the initial production process and the state information of the at least one piece of target equipment, thereby effectively solving the problems that the progress is influenced by frequent faults of part of equipment, resource waste is caused by low-load operation of part of equipment, and the production efficiency is improved due to the fact that the actual state and performance difference of the equipment are not fully considered in the existing production arrangement mode. The production efficiency is difficult to reach the optimum, the cost is increased, and the delivery is influenced.

The invention discloses a method for binding order numbers of three-in-one products in LCD (liquid crystal display) module production, which comprises the following steps of: 1, when a preset model production order of an LCD module is received, writing an order number code containing model information corresponding to the model product into a background system; 2, the LCD module product to be processed is fed into a three-in-one automatic machine table, a product two-dimensional code on the LCD module product is scanned through a code scanning gun arranged on the three-in-one automatic machine table, and the scanned product two-dimensional code is transmitted to an upper computer of the three-in-one automatic machine table; and step 3, the upper computer sends the received product two-dimensional code to a background system. Compared with a traditional mode, order number recognition is added in three-in-one software, the situation that production line workers misplace products is intercepted, and the method has the following effects that the use probability of secondary burning is reduced; the product scrapping probability is reduced; customer complaints are reduced, and the quality of company products is improved; the cost and the reworking cost are reduced.

The application discloses a production quality inspection scheduling method, an automatic processing production line and a numerical control machine tool. The production quality inspection scheduling method comprises the following steps: obtaining a production order; performing NLP analysis on the production order to obtain a structured delivery task; scheduling an AGV to transport materials to a processing terminal according to the delivery task to obtain processing materials; judging whether the working state of a quality inspection terminal meets a preset condition; if yes, scheduling the AGV to transport the processing materials to the quality inspection terminal for quality inspection, and then calling the AGV to transport the quality inspection materials to a warehouse; if not, scheduling the AGV to transport the processing materials to a warehouse, and calling the AGV to transport the processing materials from the warehouse to the quality inspection terminal for quality inspection when the quality inspection terminal is idle, and then calling the AGV to transport the quality inspection materials to the warehouse. The application can improve the utilization rate of quality inspection in the production line, further improve the processing efficiency of the production line, increase the yield and save resource costs.

The application provides a factory control method, system, electronic equipment and storage medium, and relates to the technical field of intelligent control, and the method comprises the steps of: acquiring a factory transfer scheduling instruction of a target product; acquiring product information of the target product and a target factory according to the factory transfer scheduling instruction; updating a product information database of the target factory according to the product information and a production state of the target product in the target factory; updating factory information of the target factory and authorized information corresponding to the target product in the front end according to the updated product information database, so that a front-end user can deliver a production order for scheduling production of the target product to the target factory according to the factory information and the authorized information. The application realizes automatic and accurate control of the target factory, instructs the user to accurately place an order in the target factory according to the factory information and the authorized information, avoids delivering invalid orders or orders that cannot be normally completed, improves the on-time completion rate of orders, and improves the user experience.

This disclosure relates to a method, device, and computer program product for managing vehicle-based electronic tags. The method includes: acquiring information related to a vehicle's production order, including status information indicating the vehicle's real-time production status and association information indicating whether the vehicle's production order is associated with an electronic tag; and determining whether the electronic tag is lost or damaged based on the status information and association information. Specifically, when the vehicle's real-time production status is the start of production, the electronic tag is associated with the vehicle's production order, vehicle-related information is written to the electronic tag, and the electronic tag is attached to the vehicle. When the vehicle's real-time production status is the end of production, the electronic tag is removed from the vehicle, the vehicle-related information in the electronic tag is cleared, and in response to the clearing of the electronic tag, the production order is deassociated with the electronic tag.

This invention discloses a big data-based production planning and management method for automotive rubber sealing strips, belonging to the field of order production planning and management technology. Specifically, it includes: integrating historical order and logistics data to construct a correlated dataset; establishing a logistics cost prediction network by analyzing production time requirements and logistics routes; generating an initial production sequence that meets all delivery deadlines based on the current pending production order pool; filtering orders with cost conflicts and forming a feature set by comparing planned delivery times with predicted low-cost windows in various regions; analyzing the matching relationship between adjustable production time windows and local low-cost windows for each conflicting order to generate a scheduling optimization parameter set; constructing a production sequence optimization model and solving for the optimal production sequence with the lowest overall logistics prediction cost. This invention, while ensuring delivery deadlines, proactively utilizes logistics price fluctuations through intelligent scheduling to reduce overall transportation costs.

This invention belongs to the field of nuclear power plant engineering technology, specifically relating to an automated management system for a concrete production line. The system includes: an order management module for managing concrete production orders; a production line management module for managing the operation of multiple production lines; and a warehouse management module for managing a dedicated first material warehouse for each production line and a shared second material warehouse for all production lines. When the order management module assigns a production order to the corresponding production line, the production line management module determines the target concrete output based on the order details and schedules the production line's machinery to retrieve production materials from the first and second material warehouses to initiate concrete production. The warehouse management module updates the inventory in both warehouses after the production order is completed. This invention achieves fully automated management of the entire concrete production process, from order allocation to inventory updates, through the collaborative work of order management, production line management, and warehouse management.

The application discloses a kind of digital production scheduling method and system based on forging process time model, it is related to aerospace forging production field.The method is by each production order is carried out process splitting, with process as unit to carry out month plan, week plan and day plan production scheduling, realize "process+discrete" hybrid manufacturing mode adaptation, break through the process adaptation limit of traditional single manufacturing mode, make production scheduling algorithm and aerospace forging production accurate matching with actual scene, improve process adaptability, by setting maximum holding time constraint double-mode time accounting model and heating furnace-press timing coordination constraint model, carry out the constraint between equipment process, avoid equipment conflict, product quality consistency is poor, delivery cycle is long etc., realize the efficiency, stability and compliance of production.

This invention discloses a pre-set and then linked method for collaborative pricing and production of printed materials, belonging to the field of information management technology in the printing industry. It includes acquiring historical production order data from target customers, extracting specifications, process routes, and material information for each order, constructing a dedicated product template library for that customer, responding to receiving current production requirement parameters, synchronously and in parallel executing and responding to the review and confirmation instruction for the optimal production plan, and automatically generating a production work order associated with that production plan. This invention, through an atomic decomposition mechanism, automatically generates a production work order after reviewing and confirming the optimal production plan, and then decomposes it in parallel into three types of atomic documents: material purchase orders, production task orders, and process outsourcing orders. These three documents are associated through the same work order identifier, achieving end-to-end data connectivity from quotation to production, eliminating information silos, making quotation-to-production possible, and significantly shortening the order response cycle.

The invention discloses an automatic warehouse logistics system for a furniture factory, and particularly relates to the technical field of intelligent manufacturing and logistics scheduling, and the system comprises the steps: constructing an efficiency portrait model for each material circulation path in a warehouse; after a production order is received, analyzing and generating an initial task set; an efficiency portrait model is deeply integrated into an optimization solver, so that the optimization solver can dynamically evaluate extra consumed time caused by inter-task interference for different equipment operation sequence schemes generated in the optimization process, the optimization direction is guided according to feedback, finally, an equipment-level operation plan is generated and converted into an executable instruction to be issued, data is collected after execution, and the efficiency portrait model is obtained. Performing root cause analysis on the task generating the significant deviation, and converting experience into scheduling strategy knowledge for adjusting subsequent optimization constraints to form a self-evolution closed loop; according to the method, accurate quantification and avoidance of dynamic interference in a planning stage can be realized, and the overall efficiency and stability of warehouse logistics under complex mixed batch sorting operation are improved.

The invention relates to a method for filling a filling installation, comprising a step of receiving tasks to be performed and a set of resources to be used, a step of calculating the adjusted available time, a step of selecting available resources corresponding to the resources to be used, and of selecting the tasks to be performed and at least one production order such that the set of tasks to be performed of said at least one production order is selected, a step of defining a complete execution order of the selected tasks to be performed such that the time to perform each selected task to be performed is less than or equal to the available time of the selected available resources, and a step of filling at least a portion of the plurality of available containers according to the complete execution order. Abstract figure: Fig. 1

This invention discloses a production sorting scheduling system that enables products to be sorted according to production orders and channels, thereby improving sorting efficiency and success rate. The system includes at least two production lines, a merging and splitting device, at least two sorting areas, a loop conveyor with different loop conveyor lines, a barcode scanning and identification device including loop area barcode scanners and lane divider barcode scanners, and a scheduling control device. The scheduling control device is configured to execute barcode reading business processing logic, fault business processing logic, and congestion business processing logic. The barcode reading business processing logic includes: matching the production order based on the SN code read by the loop area barcode scanner; controlling the merging and splitting device to divert products to the corresponding loop conveyor lines according to the channel set in the production order; and matching the production order based on the SN code read by the lane divider barcode scanner; and allocating products entering a specific sorting area to the sorting lane assigned to the matched production order according to the matched production order.

This application provides a method, apparatus, electronic device, and readable storage medium for dynamic adjustment of production plans. The method includes: acquiring order information and process information for each production order, as well as manufacturing resource information of the production workshop; determining a production scheduling plan based on the order information, process information, and manufacturing resource information of each production order; acquiring disturbance events in the production workshop, adjusting the production scheduling plan based on the disturbance events to obtain a new production scheduling plan; and responding to the new production scheduling plan by processing each production order according to the new production scheduling plan. This method enables timely adjustment of the production plan.

The invention provides an intelligent manufacturing production practical training method and device, electronic equipment and a storage medium, and relates to the technical field of intelligent manufacturing, in particular to the technical field of production processes, intelligent management and the like. According to the specific implementation scheme, ordering data are received and responded, and production order data and transportation control data capable of controlling transportation equipment are generated according to the ordering data and a scheduling optimization algorithm; obtaining finished product completion data and order completion data according to the production order data and the production equipment state data; according to the finished product completion data and the transportation equipment control data, the transportation equipment can be controlled to transport the finished product to a designated position; the production equipment and the transportation equipment can be controlled to return to the initial positions according to the order completion data and the transportation equipment control data, and intelligent manufacturing and production practical training is completed.

The embodiment of the present application provides a kind of automatic batch production material detection method, system and device, the method comprises: extracting production order and material list in MES system and material system, comparing production order and material list in MES system and material system, detect whether there is abnormal data in comparison result;When there is no abnormal data in comparison result, order is issued based on the preset time corresponding to production order;When cigarette packet is in first belt conveyor, the cigarette packet information of cigarette packet is acquired in real time, and the corresponding information in material list is compared with the cigarette packet information, and the corresponding instruction is output based on the comparison result;When the output instruction is receiving instruction, the cigarette packet in slicing stage is counted on the second belt conveyor, and when the count result is the quantity of current batch, material stop signal is sent to the centralized control system, and emptying detection is carried out on the slicing machine on the third belt conveyor.

This application provides a method, apparatus, electronic device, and readable storage medium for dynamic collaborative production line scheduling. The method includes: determining the material availability constraint time for a production order based on its material requirements, real-time inventory levels, and in-transit procurement information; determining the available production line time window for each production process based on its occupancy status; generating a production plan by performing a flow-line time-connection scheduling for each production process based on the material availability constraint time, available production line time window, and employee capacity information for each production process; collecting daily data on the actual output of each production process and employee attendance for the following day during production according to the production plan; and dynamically adjusting subsequent production plans based on the deviation between the actual output of each process and the daily planned output, employee attendance information for the following day, and employee capacity information. This method improves the accuracy of the production plan itself.

The invention discloses a multi-mode-based order dynamic scheduling method and system, and belongs to the field of workshop production scheduling, and the method comprises the steps: obtaining production orders and equipment information; executing dynamic scheduling based on the information, and supporting a first associated scheduling mode of scheduling a plurality of orders to the same device and a second associated scheduling mode of splitting and scheduling a single order to a plurality of devices; in response to the order insertion request, the existing scheduling plan is automatically re-planned, and dynamic adjustment is realized by identifying time conflicts and performing scheduling period segmentation on affected orders; the method comprises the following steps: generating an equipment Gantt chart to visually display a scheduling result, and supporting direct modification of scheduling parameters through interactive operation on the equipment Gantt chart, and the system comprises functional modules for realizing the steps. The multi-mode flexible scheduling, intelligent order insertion response and man-machine cooperative closed loop are realized; and the flexibility, response speed and operability of production scheduling are improved.

The invention relates to the technical field of industrial manufacturing, in particular to a method and device for determining a product scheduling plan and a storage medium. Comprising the steps of determining a production-marketing plan of a target product; obtaining an input instruction of a user for producing a target product, wherein the input instruction comprises a production demand and a production priority for the target product; identifying a keyword in the input instruction through the CHATBI; determining constraint conditions for producing the target product according to the keyword and the production priority; generating a production order according to the constraint condition and the production and marketing plan; the production scheduling plan for the target product is generated according to the production order, automatic and intelligent production scheduling is achieved, the production scheduling efficiency is improved, and higher flexibility is achieved.

The present disclosure provides an order scheduling method, comprising: obtaining order data, wherein the order data comprises a delivery address of an order; dividing the order into different order directions according to the delivery address of the order, and counting the number of orders in each order direction; determining the number of orders scheduled from each order direction per hour according to the number of orders in each order direction and the number of production orders per unit time in a warehouse; and downloading the orders scheduled from each order direction to a warehouse management system according to the number of orders scheduled from each order direction per hour. Since the order direction is defined according to the delivery address of the order, the production of orders in each order direction can be concentrated, the production efficiency is improved, and the order delivery time is improved. The present disclosure also provides an order scheduling device, an electronic device and a medium.

The invention relates to the technical field of industrial automation, in particular to a wood floor production process tracing method, which comprises the steps that a manufacturing execution system generates a process two-dimensional code for each work order based on a production order and a corresponding work order sent by an enterprise resource planning system, the two-dimensional code stores a production order, a work order identifier and a preset process parameter in the form of an encrypted character string; the manufacturing execution system receives the process two-dimensional code scanned by the terminal equipment and verifies the process two-dimensional code successfully, issues an instruction to control the production equipment to execute the process according to a preset process, receives production data after the process is completed, and stores the production data in association with a work order; and after the final process data of the production order is received, the manufacturing execution system controls the code spraying equipment to set a board back spraying code for each wood floor, and binds the board back spraying code with the corresponding process two-dimensional code and the production data, so that the access terminal scans the board back spraying code and obtains the production data of each process after secret key verification.

This invention relates to the field of intelligent manufacturing technology, specifically disclosing an intelligent production control system for 3C digital leather cases. The invention extracts product structural feature parameters and process path nodes through a production order parsing module, constructs a dynamic capacity model by combining it with the real-time operating status of the equipment, uses a multi-objective optimization algorithm to solve for the optimal production schedule, and generates quality adjustment instructions based on the defect identification results of work-in-process surface images and the correlation analysis of actual process data. This allows for real-time correction of process parameters or production schedules, solving the problems of capacity mismatch, low equipment utilization, extended delivery cycles, and delayed and inconsistent quality data collection caused by manual production scheduling and experience-based quality judgment. The invention achieves dynamic matching between production plans and actual capacity, improved equipment utilization, shortened delivery cycles, and enhanced real-time feedback and dynamic optimization capabilities for process parameters.

The invention relates to a filling method of a filling plant, comprising a step of receiving tasks to be performed and a quantity of resources to be used, a step of calculating an adapted availability period, a step of selecting available resources corresponding to the resources to be used, and of selecting the tasks to be performed and at least one production order, such that the entire quantity of tasks to be performed is selected from the at least one production order, a step of defining a complete execution sequence of the selected tasks to be performed, such that the duration of the execution of each selected task to be performed is less than or equal to the availability period of the selected available resources, and a step of filling at least a part of the plurality of available containers in accordance with the complete execution sequence.

The utility model discloses a production system, comprising a general control device which is set to generate a first production order or a production stop order and send the first production order or the production stop order to a production line control device; the production line control device is set to receive the first production order or the production stopping order, control at least one production line to perform production according to the first production order, and control at least one production line to stop production according to the production stopping order; the production line monitoring device is set to collect real-time production data of at least one production line and send the real-time production data to the master control device.