12 results about "Machine orders" patented technology

The invention relates to the technical field of intelligent production scheduling, and discloses a numerical control machining order priority ranking and production scheduling intelligent management system, which comprises a data acquisition and time interval division module, which is used for acquiring production basic data and equipment resource data and dividing a window locking time interval and a rolling time interval; the priority evaluation module is used for calculating an order priority score in combination with a preset weight; the initial schedule generation module is used for constructing a resource process diagram and generating an initial feasible schedule; the influence domain generation module is used for identifying a process set influenced by the production event and forming an influence domain; the scheduling optimization module is used for performing optimization in the influence domain based on the priority score and the cost matrix to generate a new schedule; and the execution issuing module is used for freezing the window locking period schedule and issuing a process execution list. According to the invention, intelligent sorting of production tasks and efficient and stable execution of feasible scheduling in a numerical control machining environment are realized.

To quickly determine machining order that shortens the time required to complete machining even if there is no past performance data.SOLUTION: A machining order determination device includes an acquisition unit that acquires the machining time required to process the first product, the machining time required to process the second product, quantity information, and constraint information related to the machining order, an extraction unit that extracts specific information, and a determination unit that determines the machining order for the first half and the machining order for the second half in the production line by different processes. The determination unit determines, as the first half of the processing, a machining order in which one machining of the second product outside group and machining of the first product group are alternately performed until the out-time required for the out-work is reached, and as the second half of the processing, divides or combines the first product outside groups or inside groups so that the number of first product outside groups and the number of inside groups are the same, and determines a machining order in which one of the first product outside groups and one of the inside groups are alternately processed.SELECTED DRAWING: Figure 1

The invention discloses a slave ordered response method and system based on an RS485 bus. (1) the host broadcasts an equipment scanning instruction to the bus; (2) after each slave on the bus receives the scanning instruction, respectively initializing and starting a timer, and setting the initial timeout time of the timer as a random value; (3) during the operation period of the timer, each slave continuously monitors data activity on the bus; (4) if a certain slave monitors any data byte on the bus before the timer of the slave is overtime, the timer of the slave is reset immediately, so that the slave starts timing again; and (5) if the timer of a certain slave machine is successfully overtime and the bus is in an idle state at the overtime moment, the slave machine obtains the right to use the bus and sends response data to the host machine. The method is particularly suitable for slave equipment scanning and address allocation in a system initialization stage, can support connection of more slaves, and improves the stability and expansibility of the system.

The application discloses a composite machine production method, relates to the technical field of computers, and obtains various production instructions by analyzing production requirements of the composite machine through an order assembly system; generates a sales order through an enterprise resource planning system; splits the sales order through a customer relationship management system to obtain a first material list, and determines a second material list based on a material damage ratio; locks target material inventory based on a supply chain planning and optimization system through the enterprise resource planning system, splits the production instructions based on the locked target material inventory to obtain various machine production work orders; and performs corresponding machine production on the various machine production work orders through a production execution system and a production line to obtain the composite machine, improves the efficiency and accuracy of composite machine production, and realizes efficient management, control and tracing of the composite machine order.

The invention discloses a machining order full life cycle management method and system, and particularly relates to the technical field of machining production management and industrial informationization, and the method comprises the steps: obtaining an order record, a resource time period record and an event record, carrying out the association according to an order identifier, a resource identifier and a time period identifier, determining an original attribution time period, and outputting an order time period data set; according to the order period data set, extracting original attribution periods and current attribution periods before and after the order insertion event, the rework event and the outsourcing abnormal event, determining a preempted period, writing the preempted period into a corresponding order to form a performance debt item, and outputting a performance debt result; by comparing the original attribution time period and the current attribution time period before and after the event and by combining edge calculation, the preempted time period is written into the corresponding order to form the performance debt item, so that the subsequent execution opportunity deficit caused by shared resource preemption can be explicitly traceable; therefore, the problem that follow-up performance deficit is difficult to digest in a closed-loop mode only by adjusting the current sequence is relatively solved.

The utility model discloses a kind of robot coffee machine order tray machines, belong to coffee machine component technical field.The utility model includes the installation frame of left and right two symmetrical settings, and installation frame surface is connected to place tray, and two installation frames are rotatably connected with movable plate between, the two sides of movable plate front are all fixedly connected fixed column, and T-shaped sliding slot is set in fixed column top, and user is provided with special article placing area by setting place tray, the problem that article has nowhere to place when ordering is solved, movable plate can be rotatably adjusted angle, and then adjust the inclination angle of ordering touch display screen, cooperate the sliding connection of T-shaped sliding slot and T-shaped slide, can quickly disassemble and assemble ordering touch display screen, locking frame and the through opening plug-in on sector plate, under the action of tension spring movable plate angle can be stably fixed, ensure stability in use process, overall improve operation convenience and user experience.

The application discloses a kind of machining order full life cycle management method and system, specifically related to machining production management and industrial informatization technical field, including obtaining order record, resource time period record and event record, according to order mark, resource mark and time period mark association, determine original attribution time period, output order time period dataset;According to order time period dataset, extract the original attribution time period and present attribution time period before and after insert order event, rework event and outsourcing abnormal event, determine the occupied time period, and write the occupied time period into corresponding order to form performance obligation item, output performance obligation result;By comparing the original attribution time period and present attribution time period before and after event, and combining edge computing, the occupied time period is written into corresponding order to form performance obligation item, which can explicit and traceable the subsequent execution opportunity loss caused by shared resource occupation, thereby relatively improve the problem that subsequent performance loss is difficult to close loop digestion by only adjusting current order.

An NC device includes a character information storage unit configured to store at least one piece of machining management data entered on a character information input screen. The machining management data includes an order number represented by a character string corresponding to a desired machining order, and a control flag that is set and updated based on the machining status of a workpiece according to the machining order. A server device includes: a scanning unit configured to periodically scan the machining management data retained in the character information storage unit, and to determine, based on the value of the control flag, the start and end of machining of the workpiece; and an analysis unit configured to analyze, in response to determination of the end of the machining by the scanning unit, machining performance according to the machining order by referring to operation history data associated with the order number.

The application relates to the technical field of intelligent production scheduling, and discloses a numerical control machining order priority sequencing and production scheduling intelligent management system, which comprises the following modules: a data acquisition and time period division module, which is used for acquiring production basic data and equipment resource data and dividing a lock window time period and a rolling time period; a priority evaluation module, which is used for calculating order priority scores in combination with preset weights; an initial scheduling generation module, which is used for constructing a resource process graph and generating an initial feasible schedule; an influence domain generation module, which is used for identifying a process set affected by a production event and forming an influence domain; an optimized scheduling module, which is used for generating a new schedule in the influence domain based on priority scores and a cost matrix; and an execution issuing module, which is used for freezing the lock window time period schedule and issuing a process execution list. The application realizes intelligent sequencing of production tasks and efficient and stable execution of feasible scheduling in a numerical control machining environment.

The embodiment of the application provides a kind of order delivery time determination method and delivery time determination equipment, it is related to server technical field, for determining order delivery time according to the supply capacity indicated by whole machine supply information.The method comprises: obtaining whole machine inventory and whole machine task order by ERP system, and obtaining the order to be delivered to customer by order management system;Determine the priority of each order to be delivered in multiple orders to be delivered;The order to be delivered is used to indicate the whole machine order to be delivered to customer;The order demand of target order to be delivered is matched with the whole machine supply information not matched with other orders to be delivered, to determine the supply-demand matching result corresponding to target order to be delivered, and the supply-demand matching result is used to indicate whether the whole machine inventory and / or whole machine task order meets the order demand of target order to be delivered;Based on the supply-demand matching result corresponding to target order to be delivered, determine the order delivery time corresponding to target order to be delivered.

The invention discloses a composite machine production method, and relates to the technical field of computers, and the method comprises the steps: carrying out the analysis of the production demands of a composite machine through an order assembly system, and obtaining all production instructions; generating a sales order through the enterprise resource planning system; splitting the sales order through the customer relationship management system to obtain a first bill of material, and determining a second bill of material based on a material damage ratio; locking the target material inventory through the enterprise resource planning system and based on the supply chain planning and optimization system, and splitting the production instruction based on the locked target material inventory to obtain production work orders of all machines; through the production execution system and the production line, corresponding machine production is carried out on each machine production work order to obtain a composite machine, the production efficiency and accuracy of the composite machine are improved, and efficient management and control and tracing of the composite machine order are realized.

The invention relates to the technical field of inventory control, in particular to a vending cabinet inventory control method based on order data. Comprising the following steps of dividing collected real-time vending cabinet order data into a plurality of order sub-sequence data according to vending cabinets in an area range, deleting first-layer abnormal data, introducing a periodic trend identification and correction mechanism to remove second-layer abnormal data, and obtaining the order sub-sequence data. Calculating the local fluctuation ratio of the order quantity, and carrying out third-layer unstable sequence data elimination; and the vending cabinet inventory control management based on the processed order data is to execute a corresponding vending cabinet inventory control strategy through a cross genetic algorithm. According to the invention, through a three-level elimination mechanism, the order data quality is improved, abnormal and disturbance data are effectively eliminated, and the inventory control precision is guaranteed; an inventory control strategy generation mechanism based on a cross genetic algorithm can avoid stockout or waste caused by traditional strategy static configuration, and a better inventory scheduling scheme is dynamically evolved.