164 results about "Production order" patented technology

The invention discloses an AI-based intelligent factory dynamic production scheduling optimization method and system, and belongs to the technical field of factory dynamic production scheduling, and the method comprises the following steps: obtaining and integrating the working states of various types of equipment in a factory, the stock position states of different materials, and the manual data; the production order state, the process route requirement, the plan and the completion time of each process and the delivery date requirement of the customer are determined; generating an initial production scheduling plan through an AI optimization algorithm in combination with supply chain material data, factory storage space, equipment switching cost, production rules, each order process dependency relationship and a production target; according to the method, the initial scheduling plan is generated by acquiring and integrating multiple types of production data, the dynamic events are monitored, multiple schemes are generated through evaluation, the optimal scheme is selected through economic model evaluation, and production refinement, dynamic response and benefit optimization are achieved.

The invention relates to an intelligent scheduling management method and system for aluminum profile production, and the method comprises the following steps: obtaining and cleaning the original data of a to-be-produced order, and obtaining standardized preprocessing production order data; extracting production characteristic data in the orders, and performing priority ranking on the orders according to the production characteristic data; task time windows are distributed to all the process link devices based on the sorting result, and a task time window distribution table is generated; resource matching analysis between the equipment and the task is carried out based on the table, and an equipment-task adaptation degree matrix is obtained; finally, the adaptation degree matrix is sent to an industrial control system, the production line is driven to automatically execute corresponding machining tasks, and the technical problem that a traditional aluminum profile production line mostly depends on artificial experience to conduct task scheduling and equipment arrangement and is difficult to adapt to the market trend of multiple varieties, small batches and fast delivery time, and consequently the production efficiency is low is solved.

The invention belongs to the technical field of intelligent manufacturing, and discloses a production order automatic scheduling correction method and system, and the method comprises the steps: obtaining a product material list; determining a product process route according to the product type and the process comparison result; marking resource configuration of a process route and a production scheduling state of the product; creating a production order for the products of which the production scheduling states are to be scheduled, and forming a production order level material list according to order information of each level and a product material list; according to the production requirements of the products, the production scheduling logic of the products is selected from the shortest construction period logic, the earliest delivery time logic and the emergency order insertion logic, and production scheduling of the production work orders is carried out; when the production work order is arranged, generating a processing equipment Gantt chart based on the processing information of the processing equipment and the production work order information; and correcting the production scheduling plan of the production order by using the automatic correction logic in the Gantt chart of the processing equipment. The automatic production scheduling efficiency of production is improved, and the customer satisfaction is reduced and improved.

The invention provides a production scheduling optimization management method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining production line information, production bottleneck weight information and at least two to-be-produced order information, determining the emergency level and the process complexity level of a to-be-produced order according to the to-be-produced order information, and setting different weights; the method comprises the steps of obtaining production priority scores of to-be-produced orders, sorting the production priority scores to obtain a plurality of production order sequences, performing production scheduling on the production order sequences according to production line information and production bottleneck weight information to obtain a plurality of initial production scheduling schemes, and inputting the initial production scheduling schemes into a preset optimization function for solving to obtain an optimized production scheduling scheme; according to the method, production scheduling planning is carried out in combination with the data of the emergency level, the process complexity level and the production bottleneck weight information, the influence of human factors is reduced, production scheduling consideration factors are more comprehensive and accurate, the optimal scheme is solved through the preliminary production scheduling and the optimization function, and the reliability and adaptability of production scheduling are improved.

The invention discloses a production order placing and tracing system and method based on the Internet, and relates to the technical field of production data analysis, and the system comprises a purchase order synchronization module, an order code management module, a code production module, an order binding module and an order analysis module. In a business system, demand order information is established according to demand quantity, order coding is carried out based on the types of parts, a purchaser verifies and confirms related information after receiving a mail and submits and confirms purchase, a code production module allocates a code for each part, and an order binding module allocates a part production demand to an entrusted production system. The order analysis module collects part reject ratio information data in the production process, the part production speed is synthesized to participate in prediction of the next production order, the next order progress is effectively predicted according to the production speed and the reject ratio of the parts in the order, and data guarantee is provided for users.

The embodiment of the invention provides a production process collaborative management and control method, a management and control system and a computer program product, and belongs to the field of automatic control. Comprising the following steps: according to order information and production process information of a plurality of orders, determining resource demand information and a predicted production cycle of each order and a predicted production sequence priority among the plurality of orders; according to the above information, the equipment capacity, the production material information and the inventory information, adjusting the production sequence among the plurality of orders to obtain the actual production sequence among the plurality of orders; obtaining actual production data corresponding to the current production order according to the actual production sequence among the plurality of orders, the equipment operation state in the actual production process and the material consumption data; and adjusting the current production order strategy in real time according to the actual production data corresponding to the current production order and the material inventory data and inventory of the current production order product. According to the invention, cooperative control of production links can be realized, so that the efficiency of the production links is improved.

The invention relates to the technical field of intelligent manufacturing, and discloses a production scheduling system of a production line and a scheduling method thereof. According to the system and method, key information such as production orders, equipment states and raw material inventory is collected in real time through the data collection unit, basic data is provided for subsequent analysis, the data analysis unit can rapidly evaluate the production capacity and the resource utilization rate, the orders are subjected to priority ranking, and it is ensured that the production efficiency is improved in the dynamically changing market environment. The production plan can preferentially meet the most emergency and important requirements, the scheduling decision-making unit rapidly generates an optimized preliminary schedule by applying an advanced scheduling algorithm, the manual intervention time is shortened, the response speed is improved, the scheduling execution unit ensures that a production instruction is issued and executed in time, the production progress is monitored in real time, and the production efficiency is improved. And the optimization unit continuously improves a scheduling strategy by evaluating and feeding back an execution result, so that the production efficiency is improved, the cost is reduced, and meanwhile, the timeliness of delivery and the customer satisfaction are ensured.

The invention provides an industrial internet platform and a production collaborative management method, and belongs to the technical field of production management, and the method specifically comprises the steps: carrying out the determination of an available production load based on a production order and production data under different production loads, obtaining the historical fault data of different production devices, and carrying out the processing of the historical fault data; determining the optimal production load in the available production loads by combining the deviation conditions of the production loads corresponding to different historical fault data and different available production loads and the production orders, and carrying out the production scheduling processing of the factory through the optimal production load. The adjustment strategy of the production load is determined according to the change condition of the order data and the analysis result of the monitoring data of the production equipment in the production processing process, and the production processing efficiency is ensured.

The invention, which relates to the technical field of printing production management, discloses a production processing tracking system and tracking method for a printing industry, and the method specifically comprises the steps: creating a corresponding production order in a preset printing production management system based on customer demand information, generating a unique identification code for each production order according to a dynamic random number algorithm, and associating and binding the unique identification code with each production order; obtaining a process node of each production order associated with the unique identification code to construct a process dependency graph of each production order; calculating the remaining delivery time of each production order associated with the unique identification code, and sorting each production order in real time to construct a self-adaptively updated priority scheduling queue; obtaining a current process node of each production order, and obtaining a state attribute of each process node of each production order and a corresponding execution progress; and carrying out full-link visual display on the state attribute of each process node of each production order and the corresponding execution progress, and inputting a unique identification code through a client to carry out query.

The invention provides a carbon powder production line energy consumption optimization method and system, and is applied to the technical field of energy consumption optimization in the production and manufacturing field, and the method comprises the steps: obtaining a production order, decomposing the production order into subtasks and time-of-use electricity price information, dividing a time slot, calculating the energy cost, constructing a mathematical optimization model according to the energy cost, and solving the mathematical optimization model. And a group of optimal decision variable values are found, so that the total energy cost is minimum, and all production constraints are met. Through the steps, the method integrates the production task, the equipment capability, the dynamic energy price and the production constraint into an optimization framework, and finds the production scheduling scheme with the lowest energy cost through the solving model, so that the technical problem of reducing the energy consumption cost while meeting the production requirement is solved, and the method has the advantages of reducing the energy consumption and improving the production efficiency. And the production plan is optimized.

The invention belongs to the technical field of order management, and particularly relates to a production order supply planning management system based on data analysis, and the system comprises an order data collection module which is used for collecting customer order data, and the customer order data comprises historical order data and current order data; the order data analysis module is used for calculating the demand quantity of product orders in M periods in the future based on the obtained historical order data; the supply chain data collection module is used for collecting data of each production line in a supply chain; the supply chain data analysis module is used for calculating the actual order demand quantity of the product in the M periods in the future based on the product order demand quantity and the data of the production line in the supply chain; and based on the data of the production line in the supply chain and the actual demand of the product, the delivery time index of the order product required by the current customer is calculated.

The invention discloses a cord fabric dipping glue solution preparation management system, and relates to the technical field of glue solution production, the cord fabric dipping glue solution preparation management system comprises an order interaction unit, an order sequence making unit, a glue solution preparation management and control unit and a glue solution preparation monitoring unit; the order interaction unit is used for establishing connection between the enterprise resource planning system and the client to obtain a glue solution production order; the order sequence formulating unit is used for carrying out priority ranking on the glue solution production orders based on the client demand responsivity; and the glue solution preparation management and control unit is used for generating a raw material process formula based on a predefined raw material proportioning rule, and preparing a glue solution required by the glue solution production order according to the working procedures in the raw material process formula and the raw material combination. Through docking with an enterprise communication platform, important production information, abnormal alarms or task instructions can be pushed in real time, so that the response speed and the unmanned level of production management are greatly improved.

The invention relates to the technical field of production scheduling optimization, in particular to an intelligent load adjusting method based on an intelligent aerial view mobile terminal, and the method comprises the following steps: S1, building a flow database of production processes of different types of to-be-processed products; s2, establishing a production process splitting module, wherein the production process splitting module is used for extracting the product production process in the process database established in the previous step and transmitting the product production process to the intelligent aerial view mobile terminal; and S3, creating a plurality of production orders by the intelligent aerial view mobile terminal according to different types of processed products. According to the process compatibility and the load of the production line, the manufacturing process of the product to be processed and the dependency relationship between the processes can be deeply understood, the production task can be better planned and scheduled, the reasonable combination of the process operations from different orders on different production lines is realized, and the production efficiency is improved. And production tasks are reasonably distributed and arranged according to factors such as running time, resource requirements and equipment availability of each working procedure, so that the production efficiency is improved to the greatest extent.

The invention discloses an efficient and intelligent production scheduling method for circuit boards, and belongs to the field of printed circuit board production and manufacturing. According to the high-efficiency intelligent production scheduling method for the circuit board provided by the embodiment of the invention, a feeding package and a process production scheduling rule are set through basic standard data such as front equipment, a production cycle, WIP balance, a production calendar, team members, product design, an order state and the like. Data obtained through ERP and MES statistical analysis are summarized into standard files of internal equipment, productivity, process, production cycle and process settlement, a system is guided to perform production order scheduling, and the method has the following advantages that the system automatically generates and continuously optimizes an order package for feeding and manufacturing, and the overall productivity is maximized; the shortest order production cycle and the minimum WIP settlement are realized; automatic transportation across workshops is realized; the production progress and abnormal conditions are monitored in real time, the plan is adjusted in time, and the production efficiency is improved.

The invention provides a production management system for a processing industry, and the system comprises a model construction module which constructs a processing industry model and an artificial intelligence algorithm model; the production planning module performs demand order splitting, merging and priority ranking processing according to the processing industry model to form a production order and a corresponding work order; the production execution module carries out processing production according to the work order and collects production operation data in real time; and the scheduling updating module dynamically updates the production order and the work order by using an artificial intelligence algorithm model according to the processing result of the production operation data. Through productization modeling and configurable scheme design, flexible definition and calling can be realized in processing, so that information transmission, recording and business management and control of products in the whole process of research and development design, demand transmission, production plan scheduling, production execution process, sales and delivery and the like are satisfied.

The invention provides a multi-level production scheduling method based on production orders, and the method comprises the following steps: S1, obtaining order information of to-be-sorted orders, constructing an order priority model which aims at minimizing importance coefficients and user waiting time of different orders, and setting a target function and a constraint condition in the order priority model; and S2, on the basis of distribution proportion constraints of production capacity, vehicle types and colors of a workshop, constructing a daily production plan model taking an order priority model as a target, and by providing an upstream and downstream linkage integrated plan production scheduling mode, on the premise of meeting hard constraints, realizing minimum violation of soft constraints and aiming at meeting production constraint conditions and target requirements. Through the method, an enterprise can better manage the production process, improve the production efficiency and optimize the resource utilization rate, so that market changes and customer requirements are met, the overall service of the enterprise is improved, and the production efficiency is improved while the stability of a supply chain is ensured.

The invention discloses a production plan generation method and device, equipment and a medium, and the method comprises the steps: obtaining the product information and production information of a to-be-produced target product in a production order, and enabling the production information to comprise the production number and production period of the target product; based on the product information, a target production line of the target product is generated, and the target production line comprises multiple production processes; on the basis of the target production line, the machining time needed by the target product in each production process is determined; based on the target production line, scheduling data and multiple constraint conditions in the production period are determined; and generating a production plan of the target product based on the target production line, the processing time, the scheduled production data and multiple constraint conditions. By adopting the technical scheme, automatic production scheduling is realized, the dependence on manpower and the workload in the production plan making process are reduced, the factors such as the man-hour demand, the resource availability and the production capacity in the production process are comprehensively considered, and the feasibility and the resource utilization rate of the production plan are ensured.

The invention discloses a production scheduling system based on production orders. The production scheduling system comprises a data integration module, an intelligent scheduling module and the like. According to the system, data of an ERP system and data of a delivery system are associated, cleaned and integrated through a data integration module, and effective input is provided for an intelligent scheduling module. The intelligent scheduling module adopts a weight calculation method, calculates order priority values by comprehensively considering various factors such as order delivery remaining date, whether an e-commerce order or not, whether an emergency order or not, time required for order production, product priority and the like, sorts the order priority values, and reasonably arranges an order sequence; in the aspect of production resource allocation, the remaining available work number is calculated in combination with productivity, the order demand with high weight is preferably met, and the resource utilization rate is improved; meanwhile, the adjustment of coefficients in a weight formula enhances the accuracy and adaptability of scheduling calculation, so that the scheduling result is more suitable for actual production; the emergency order processing module can quickly process emergency orders and reduce the influence on a normal production plan; in addition, the system also has the functions of automatic execution, report generation, linkage of the ERP system and the delivery system and the like. Through cooperative work of the modules, the overall efficiency and flexibility of production scheduling are effectively improved.

The invention relates to the field of paperboard production, and discloses a corrugated paperboard production control method, device and equipment and a storage medium, and the method is used for carrying out production management on corrugated paperboards so as to ensure high efficiency, stability and customization of corrugated paperboard production. The method comprises the following steps: receiving production orders and sorting the production orders; selecting a next order to be produced from the sorted production orders, and performing matching according to the material information of the next order to be produced to obtain a production process formula; displaying formula parameters of the production process formula, obtaining modification parameters, and modifying the formula parameters according to the modification parameters to obtain production parameters; controlling a production equipment system to produce corrugated boards based on the production parameters, and monitoring real-time parameters of the production equipment system; the production parameters are adjusted according to the warping result of the corrugated board obtained through production and the real-time parameters of the production equipment system, and the production equipment system is controlled to execute next production of the corrugated board through the adjusted production parameters.

The invention discloses an intelligent production scheduling method for a steel structure, and the method comprises the steps: S1, obtaining a plurality of production orders, and carrying out the grouping of the plurality of production orders according to the priority similarity; s2, performing various combinations on the production orders of each group, calculating production time consumption, production energy consumption and production material consumption of each combination, and selecting an optimal combination according to a calculation result; and S3, performing production on the production order of each group according to the optimal combination. According to the invention, production order completion can be ensured, energy and production material consumption is reduced, and production cost is reduced.

The invention belongs to the technical field of production line management, and discloses a food production line automatic management method and system based on intelligent control, and the method comprises the steps: extracting a production line capable of producing a target product based on a product name, making a production plan for a production order based on a preset rule, and distributing the production line, before production of the first production order, control information and initial operation parameters of all procedures on the target production line are obtained, whether the target production line meets a preset standard or not is judged based on the control information and the initial operation parameters, and production is started when the target production line meets the preset standard; and the production schedule information and the product quality information of the first production order are collected and monitored, if the production schedule or the product quality is abnormal, production plan adjustment suggestion or reminding information is generated and sent to related personnel, and after the first production order is completed, delivery reminding is generated. According to the technical scheme, the flexibility of production management can be improved, and the overall production management level is improved.

The invention discloses an anomaly analysis method and device for production management and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a plurality of production orders, and generating a corresponding process tracking code for each production order; associating the process tracking code to a business document in a production management system to generate an associated data set; based on the associated data set, constructing a multi-dimensional production element map, and based on the multi-dimensional production element map, generating a three-dimensional process sand table, the three-dimensional process sand table comprising a topology view, a thermodynamic view and a tracing view; inputting the process delay event into the three-dimensional process sand table, determining upstream and downstream nodes and edges related to the process delay event, and forming an abnormal propagation path; and based on the abnormal propagation path, reasoning the process delay event to obtain an abnormal reason. By implementing the technical scheme provided by the invention, the abnormal reason is quickly positioned, and the production efficiency is improved.

The invention discloses an MES-based production process management method, and belongs to the technical field of production management. The method comprises the following steps: S1, production planning: creating a production order through an SAP system; then generating a material picking list and making a detection plan in the process management system according to the work order; and finally, the SAP system carries out account passing and material sending, and the SAP system generates a material voucher and a material receiving list. S2, warehouse material picking; s3, producing a whole board; s4, inputting production line information; s5, production: the process management system generates a material summary page and feeds the material into the SAP system; s6, detecting; s7, outputting and inputting; s8, production information input: a process report is sent to an SAP system; and S9, warehousing. The process management system sends a warehousing record to the SAP system and receives a warehousing order number returned by the SAP system; in the SAP system, goods receiving operation is carried out according to the warehousing order number; account passing operation is carried out in the process management system; and S11, closing the order.

The invention relates to the technical field of PCBs, in particular to a PCB production order management method. The production sequence is dynamically adjusted through the timeliness information and the product quantity information of each order, imbalance of production loads can be avoided, the daily output corresponding to the order is accurately calculated according to the timeliness information and the product quantity information of each order, the production sequence is flexibly adjusted based on the information, and the production efficiency is improved. The production sequence is regulated and controlled through the quality demand index, orders with high quality requirements are preferentially arranged for production, the quality control capability index of the production equipment is calculated according to the type information and the production precision information of each piece of equipment, the equipment most suitable for producing the specific order can be selected according to the quality control capability of each piece of equipment, and the production efficiency is improved. By integrating data of multiple dimensions such as production efficiency, quality requirements and equipment capability, a more refined decision-making process is realized, the production efficiency is improved, the product quality is ensured, and the flexibility and response capability of the whole production system are further improved.

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 a production order management method and system based on artificial intelligence, and relates to the technical field of production management. The method comprises the steps of obtaining predicted order information according to historical order information and industry trend information; according to the customer order information, the prediction order information and the product inventory information, generating supplementary library order information; according to the customer order information, the research and development order information and the replenishment order information, determining an order execution sequence and a production process sequence of the order; according to the order execution sequence, the production process sequence and the equipment capacity, a production equipment sequence and a production plan are determined; if the order insertion information is received, the order execution sequence, the production equipment sequence and the production plan are updated according to the information of the orders being executed, the order execution sequence and the order insertion information; if the production plan of the production equipment needs to be updated, the real-time capacity of the production equipment is determined, and the production equipment sequence and the production plan are updated. And the flexibility and response speed of production order management 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 application discloses a kind of based on ERP system's dynamic feeding back calculation processing method, equipment and medium, belong to enterprise informationization ERP technical field, for solving the existing feeding back calculation is prone to deviation, easily influenced by a variety of uncertain factors, it is difficult to accurate prediction and adjustment, increase the technical problem of production risk.Method includes: according to target production product, BOM table is matched and inquired and handled, and the required material information is obtained;According to the inventory result where the required material information is located, the available inventory usage of maximum production is judged, and the usage result is obtained;If the matching result is not check matching result, then according to the required material information, the product quantity of target production product is determined;If the matching result is check matching result, then the available inventory of each required material information in BOM table is circulated, and the product quantity of target production product is determined;Based on product quantity and BOM table, feeding production order information is generated.