24 results about "Stock management" patented technology

The stock-in / stock-out management device (30) includes: an imaging section (31) that images a plurality of images of a state in which a door of a refrigerator (20) is opened from above the refrigerator (20), the refrigerator (20) having a main body and a door attached to the main body; a setting section (37) that sets a boundary line along outlines of the main body and the door in the plurality of images; and a determination section (38) that determines whether an object is put into the refrigerator (20) or the object is taken out from the refrigerator based on whether the object moves across the set boundary line in the plurality of images.

To provide an employment support system or the like capable of providing better service to a job offerer.SOLUTION: According to an aspect of the present invention, there is provided a recruitment support system including at least one processor, wherein the processor is configured to execute the following steps by reading a program, and in the stock management step, a stock of a dedicated scout mail that can be transmitted only to a specific job applicant who satisfies a transmission condition among registered job applicants is given to a job recruiter at a predetermined timing, wherein the transmission condition is that an action related to job seeking is not performed for a predetermined period, or that the number of actions during the predetermined period is less than a predetermined number, in the transmission step, the special scout mail is transmitted to the specific job applicant selected as a transmission object person of the special scout mail, and stock of the special scout mail is reduced.SELECTED DRAWING: Figure 1

The invention discloses a machine needle receiving and supplementing management system based on artificial intelligence multi-permission grading, which relates to the technical field of consumable intelligent management and comprises a permission management module, a receiving management module, a needle supplementing prediction module, an inventory management module and a data interaction module. The authority management module calculates and grades comprehensive authority values through an authority quantification model on the basis of post basic weights, historical taking compliance and production task association degrees; the needle supplementing prediction module fuses the historical consumption data, the production plan, the equipment state and the inventory, and obtains the needle supplementing demand through a consumption prediction model; the receiving management module calculates a single-time receiving limit through a dynamic limit adjustment model; the inventory management module executes needle supplement and updates the inventory; and the data interaction module realizes real-time data synchronization between the modules and an external system. The system solves the problems of authority stiffness, needle supplement lag, fixed limit and the like in traditional management, and meets the requirements of manufacturing enterprises.

The present application relates to the technical field of coke transportation, and provides a multi-variety coke mixing, stacking and taking system, which comprises a classified stacking module, a stock management module, a stacking and taking execution module and a safe intelligent guarantee module of a transport vehicle. Through the arrangement of the classified stacking module, the stock management module, the stacking and taking execution module and the safe intelligent guarantee module of the transport vehicle, in combination with the stacking area division of the top-charging coke oven coke storage area silo and the stamp-charging coke oven coke storage area silo, and the layered design of the storage space of the upper high-value silo, the middle high-frequency silo and the lower high-substitute silo, multi-dimensional classified stacking of coke based on process source data, quality index data, cost data and production demand data is realized, and the problems of single classification dimension and low space utilization rate in the prior art are solved; the coke dynamic stock map of the stock management module can realize real-time synchronization of the physical warehouse state, so that the operator can intuitively master the position and stock of each batch of coke.

The invention discloses a warehouse purchase-sale-stock management system and method based on big data analysis, and relates to the technical field of library purchase-sale-stock management, and the method comprises the steps: collecting historical borrowing data, reader attribute data and time period data in a library business system, and constructing a book circulation feature parameter set based on the historical borrowing data; performing weighted analysis on the book circulation characteristic parameters in combination with the reader attribute data and the time period data to obtain a comprehensive demand index reflecting book demand intensity; constructing a demand prediction model based on the comprehensive demand index, and calculating the predicted demand of each book in different time periods; according to the predicted demand quantity, calculating a corresponding safe stock quantity, and when the current stock quantity is lower than the safe stock quantity, generating a replenishment instruction and a replenishment quantity; and executing the replenishment instruction. According to the invention, the probability of occurrence of empty borrowing of hot books and overstock of low-demand books is effectively reduced.

The invention provides a yak digital intelligent breeding system and method based on artificial intelligence. The system comprises a terminal equipment communication module, a digital identity identification module, an automatic weighing and grouping module, a pasture environment monitoring module, a breeding management module, an epidemic prevention and health care module, a breeding stock management module, a breeding large model module, an industrial chain tracing module, a quality tracing and monitoring module and an asset credible supervision and financial service module. And a biological asset service ecological module. According to the application, technologies of Internet of Things, artificial intelligence, block chains, digital native, big data and the like are integrated, the characteristics of the yak industry are combined, upstream and downstream ecological cooperative partners of the industry are opened, a yak digital solution is created, and digital asset security sharing of the whole industry is opened, so that the problems of yak positioning, scientific management and economic appreciation are solved.

1. The name of the design product: stock management graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface of the electronic equipment. 4. The picture or photo that best indicates the design points: interface change state diagram 2. 5. The use of the graphical user interface: the graphical user interface is used to manage the stock application interface and view stock information. 6. The human-computer interaction mode of the graphical user interface: the main view is the stock application interface, the user triggers the "settings" icon button in the lower left corner of the main view, the interface jumps to interface change state diagram 1, and a settings popup window appears in the current interface; when the user triggers the "big screen mode" option button in interface change state diagram 1, the stock application interface switches to big screen mode, as shown in interface change state diagram 2. The XXX in the interface represents the text content, the gray block coverage area in the interface is the content picture, and the shape of the gray block is only used to cover the content picture, not representing the shape of the content picture.

The invention discloses an electronic weighing real-time feedback ERP (Enterprise Resource Planning) system, which relates to the technical field of ERP systems, and is characterized in that the electronic weighing ERP system comprises an intelligent weighing terminal, an edge computing processing layer, a data transmission layer and an ERP system, and the intelligent weighing terminal comprises at least one electronic weighing device. The electronic weighing equipment is internally provided with a weighing sensor, a data acquisition module and a communication module, the edge computing processing layer comprises an edge computing gateway and a data preprocessing module, and the data transmission layer adopts a 5G communication module to establish an encrypted data transmission channel between the edge computing processing layer and the ERP system. The ERP system comprises an API interface module, a data mapping module, a business linkage module, an inventory management module, a production execution module and a purchase management module. According to the invention, standardization processing is carried out through the edge calculation processing layer, the ERP system is directly connected through a 5G encryption transmission channel, a traditional manual recording and manual input mode is replaced, and the whole process automation of weighing data from acquisition and processing to synchronization to the ERP system is realized.

The invention relates to the technical field of three-dimensional warehouse management, and particularly provides an intelligent roll material management method and system for a three-dimensional warehouse, and the method comprises the steps: obtaining a roll material data set of the three-dimensional warehouse when a delivery request is received, the roll material data set comprising storage duration information and storage allocation position information corresponding to different roll materials in the three-dimensional warehouse; obtaining a warehouse-out priority score corresponding to each roll material according to the storage duration information; determining a target shipment roll material according to all the shipment priority scores and the shipment request; according to the storage location position information corresponding to the target shipment roll material and the current position information of the stacking machine, a warehouse-out path is generated; according to the warehouse-out path, the stacking machine is controlled to carry out warehouse-out on the target goods-out roll materials; the method can effectively solve the problem that the performance of the coil stock is reduced due to the fact that the storage time of the coil stock in the vertical warehouse is too long.

A safety stock computing system and a safety stock computing method. A stock management system is designed. The safety stock computing system comprises a processor and a storage apparatus. The storage apparatus is used for storing a stock computing module, a statistical module, and a simulation and comparison module. The processor is electrically connected to the storage apparatus, and is used for executing the stock computing module, the statistical module, and the simulation and comparison module. On the basis of historical data, current data, and reliability factor data, the stock computing module computes a recommended safety stock. On the basis of the reliability factor data and the current data, the statistical module computes a statistical safety stock. On the basis of historical data, the simulation and comparison module simulates the recommended safety stock and the statistical safety stock, so as to generate a suitable safety stock on the basis of a simulation result. The stock computing module comprises a reliability factor analysis unit, the reliability factor analysis unit analyzing the historical data and the current data to produce the reliability factor data.

An object of a system according to an embodiment is to simplify management and sharing of stockpiles and to quickly respond to an emergency.SOLUTION: A system includes a stock list creation unit, a stock management unit, an information provision unit, a sharing unit, and an emergency response support unit. The stocklist generator generates a stocklist based on user input. The stockpile management unit manages the stockpile list created by the stockpile list creation unit. The information providing unit provides information and advice related to the stockpile managed by the stockpile management unit. The sharing unit shares the stockpile list. The emergency response support unit supports a response in an emergency.SELECTED DRAWING: Figure 1

The invention belongs to the technical field of ancient building restoration management and control, and particularly relates to an ancient building restoration consumable intelligent management method and system based on multi-source data fusion, and the system specifically comprises a consumable storage monitoring module, a storage environment analysis module, an inventory loss analysis module, an inventory early warning response analysis module, a consumable storage condition evaluation module and an intelligent management end. Real-time complete data support is provided for whole-process analysis through the consumable storage monitoring module, the storage environment analysis module early warns environment abnormity in time, the inventory loss analysis module clearly presents the loss condition, the inventory early warning response analysis module accurately recognizes the inventory insufficiency condition, and the inventory early warning response analysis module accurately recognizes the inventory insufficiency condition. And the consumable storage condition evaluation module integrates multi-dimensional indexes to comprehensively judge the control performance, reasonably grades suppliers and prompts the suppliers to adjust demands in time, so that the targets of consumable storage safety, accurate inventory control and stable supply guarantee are integrally realized.

The utility model relates to the field of management terminals, in particular to an intelligent purchase-sale-stock management terminal which comprises a shell, a touch screen is fixedly installed on one side of the shell, a plurality of fixing blocks are fixedly installed on the side wall of the shell and located on one side of the touch screen, a cover plate is rotatably installed between the fixing blocks, and a sliding groove is formed in the lower surface of the shell. A sliding groove is formed in one side of the shell, a grab handle is clamped in the sliding groove in a sliding mode, a sliding rail groove is formed in the other side of the shell, and the supporting mechanism is clamped in the sliding rail groove in a sliding mode. The intelligent purchase-sale-stock management terminal is provided with the supporting mechanism, the supporting mechanism at least comprises the limiting block to adjust the scanning position and angle, so that unstable factors caused by manual hand holding are reduced, the scanning accuracy and success rate are improved, the two hands can be liberated through the supporting mechanism, the burden of the body is reduced, and the user experience is improved. The working efficiency and the comfort level of workers can be kept, the workers do not need to hold the equipment by hand, the scanning task can be processed more quickly, and the operation time can be remarkably shortened.

The invention discloses an AI-based intelligent supply chain optimization management method and system, and relates to the technical field of supply chain optimization management, and the method comprises the following steps: 1, building a data collection model, carrying out the collection of data, and carrying out the all-around processing of the data after the collection, and 2, formulating a transportation scheme, carrying out the design of a transportation mode in advance, and carrying out the optimization of the transportation mode. The method comprises the following steps: step 1, formulating a demand scheme, formulating an inventory management model, and managing inventory positions in a transportation process, and step 2, formulating a scheme optimization and adjustment model to optimize a supply chain, and formulating a bidirectional problem collection scheme in an implementation process to collect problems generated during implementation of the demand scheme and the scheme optimization and adjustment model. According to the method, in the process of optimizing the supply chain, the demand is predicted, the demand scheme is formulated after prediction is completed, stage processing is carried out in the formulating process, and the most real demand can be accurately predicted.

1. Name of the designed product: main body of a graphical user interface of a system for monitoring stock of a desktop computer monitor. 2. Use of the designed product: for displaying information and for human-machine interaction. 3. Designing point of the designed product: in the claimed part of the graphical user interface. 4. Picture or photograph best indicating the designing point: design 1 front view. 5. Design 1 is designated as the basic design. 6. Use of the graphical user interface: for presenting information related to stock management in a desktop computer monitor to help entities such as retailers to monitor stock. 7. Mode of human-machine interaction of the graphical user interface: the user operates, for example, clicks (by means of a mouse or by means of a finger in the case of a touch screen) on menu bar entries and obtains information related to stock management, for example, obtained on the basis of data transmitted by sensors for stock management, from the information display bar. 8. Other circumstances to be mentioned: since the product carrier, i.e. the desktop computer monitor, is of customary design, the rear view, the left view, the right view, the top view, the bottom view are omitted. 9. All parts of design 1 and design 2 indicated by dotted or stippled lines, including the parts indicated by coloured dotted or stippled lines, are not claimed, the text parts of the figures are also indicated by dotted or stippled lines and thus are not claimed; the colour is claimed in design 2.

FILM COUNTING AND CONTROL DEVICE FOR WRAPPING MACHINE comprising a communications and management module suitable for communicating with at least one server, a first element identifying the film reels, a second element measuring the amount of film during wrapping cycles and a communications module working in parallel to the wrapping machine to which they are added and the first element working in collaboration with an identification tag placed on the film reels to be dispensed and the second element placed in the film path between the reel and the pallet to be wrapped, wherein the collected data are sent to a server that transforms and cross-references them to obtain valid data for stock management and efficiency in wrapping operations.

The invention relates to the technical field of coke transportation, and provides a multi-variety coke mixing, stockpiling and reclaiming system which comprises a classified stockpiling module, an inventory management module, a stockpiling and reclaiming execution module and a transport vehicle safety intelligent guarantee module. A classified stockpiling module, an inventory management module, a material stacking and taking execution module and a transport vehicle safety intelligent guarantee module are arranged, stockpiling area division of a top-loading coke oven coke warehouse area stock bin and a tamping coke oven coke warehouse area stock bin is combined, and storage space layered design of an upper-layer high-value bin, a middle-layer high-frequency bin and a lower-layer high-replacement bin is adopted; multi-dimensional classification stockpiling of coke based on process source data, quality index data, cost data and production demand data is realized, and the problems of single classification dimension and low space utilization rate in the prior art are solved; the coke dynamic inventory map of the inventory management module can synchronize the physical warehouse state in real time, so that an operator can intuitively master the position and stock of each batch of coke.

The invention relates to a live broadcast e-commerce supply chain information monitoring method, which comprises the following steps of collecting and verifying basic qualifications and industry special qualifications of suppliers to be cooperated, establishing a qualification dynamic management library, setting an early warning mechanism, and implementing access limitation on suppliers with qualified failures; determining a notarization warehouse, generating a customized reconstruction scheme through a preset warehouse customization model according to the to-be-warehoused goods information and the notarization warehouse basic information, and performing hardware reconstruction and system deployment on the notarization warehouse according to the customized reconstruction scheme; when a supplier transports goods to a notarization warehouse, the goods are verified by using the AI visual inspection assembly and the unique verification and detection assembly, the goods are recorded into an inventory management system after being verified to be qualified, and a traceability file binding batches, detection records and inventory quantity is generated. The effect of effectively improving the supply chain information management efficiency is achieved.

The invention relates to an inventory optimization method and device for a beer warehouse and computer equipment. The method comprises the following steps: acquiring current inventory data of a beer library and customer advanced invoicing data, and identifying current element data of each inventory element of the beer library based on the current inventory data; on the basis of the current element data of each inventory element, through an ex-warehouse quantity prediction strategy, predicting the initial predicted ex-warehouse quantity of the beer warehouse, and on the basis of the initial predicted ex-warehouse quantity of the beer warehouse and customer advanced invoicing data, identifying the predicted ex-warehouse quantity of the beer warehouse; and based on the current element data of each inventory element and the predicted warehouse-out amount of the beer warehouse, calculating a target optimized inventory amount of the beer warehouse through an inventory control algorithm. By adopting the method, the management and control accuracy of the inventory data can be improved.

The invention belongs to the field of goods sales and logistics management, and discloses a visual intelligent logistics management platform based on an intelligent brain. Comprising a central processing module, a login module, a distribution module, an authority determination module, a sales management module, a business handling module, a logistics transportation bidding management module, a platform setting module, a data statistical analysis module and an inventory management module. The system breaks the information barrier between the information management module and the information management module, enables different information to be transmitted on the same platform, improves the information transmission efficiency and accuracy, improves the use effect, limits the authority of different managers through the distribution module, enables the central processing module to timely synchronize the corresponding information to each worker at different posts, and improves the user experience. Information omission and chaos are avoided, and information processing and transmission efficiency is improved; the efficiency of the whole supply chain is improved, and the operation cost of a company is reduced.

A stock management device includes: one or more memories storing instructions; and one or more processors configured to execute the instructions to: acquire first reading information of a radio tag attached to a product, read by a first reading device provided between a backyard of a store and a sales floor of the store and an image obtained by imaging a product shelf of the sales floor; specify the number of stocks in the sales floor, based on the number of stocked products specified from the first reading information and the number of taken-out products specified from the image; and output the number of stocks in the sales floor.

This disclosure relates to methods, apparatus and recording media performed by electronic devices. A method according to one embodiment of this disclosure includes the steps of: receiving a request from a user to refuse an order in response to an order from a customer, wherein the order includes at least a portion of one or more sales menus included in a sales menu catalog corresponding to the user; providing the user with an out-of-stock management page in response to the refusal request, wherein the out-of-stock management page includes a first user interface that allows the user to select an out-of-stock menu from one or more sales menus included in the order; receiving a request from the user for information regarding the out-of-stock menu and for recommendations of alternative menus corresponding to the out-of-stock menu; providing the user with a catalog of candidate menus including one or more alternative menus to the out-of-stock menu; and providing the customer with information regarding an alternative menu selected by the user from the one or more candidate menus based on the selection input received from the user.

The invention discloses a logistics storage warehousing management method based on big data, and relates to the technical field of stock and stock management, and the method comprises the steps: carrying out the streaming collection, cleaning and feature construction of multi-source data of arrival batches, and carrying out the automatic matching and difference detection between arrival details and purchase orders / arrival notifications, thereby achieving the automatic matching of the arrival details and the purchase orders / arrival notifications. A warehousing link is aligned in advance on an information level, so that subsequent rework caused by code scanning missing and inconsistent batch attributes is reduced; on this basis, a multi-target comprehensive cost and feasible region filtering mechanism is established around factors such as carrying time from a receiving platform to a target storage location, channel congestion and category compatibility, so that a putaway decision not only conforms to strong constraints of capacity, dangerous chemical and temperature control, but also can dynamically accept or reject efficiency and risks under high concurrency pressure; and a warehouse management system uniformly issues and receipts a shelving instruction to form an instruction-execution-feedback closed loop.

The invention discloses a visualized purchase-sales-stock management information system for hospitals, the visualized purchase-sales-stock management information system for hospitals comprises a purchase-sales-stock management module, a visualization module, a data acquisition module and a decision module, the data acquisition module acquires the current time, the current position and a first epidemic disease corresponding to the current time and the current position; the decision module determines a corresponding first medical resource type parameter and a reference medical resource reserve threshold parameter according to the first epidemic disease; the purchase-sale-stock management module obtains a first medical resource reserve parameter according to the first medical resource type parameter; a decision module determines a comparison result between the first medical resource reserve parameter and a reference medical resource reserve threshold parameter; determining a first resource scheduling parameter corresponding to the first epidemic disease according to a comparison result; and the visualization module displays the first resource scheduling parameter. According to the invention, purchase-sale-stock management for dealing with periodic epidemic diseases can be realized intelligently.