40 results about "Stock management" patented technology

The invention relates to the technical field of material management, and particularly discloses a material management system which is used for solving the problems that an existing material management system has limitations, including budget depends on experience, and scientific prediction and dynamic adjustment capabilities are lacked. First basic information and project member information of a project are managed through a project management module, and first budget information of the project is managed based on a budget management module; the first budget information comprises project budget, actual cost, budget project amount and supply unit price; a purchase management module is used for managing material application and purchase application of a project, a stock management module is used for managing material entry, ex-warehouse orders, warehousing orders and allocation orders, and a dynamic budget adjustment unit is used for dynamically adjusting project budget according to actual project amount and supply unit price. The limitation in traditional material management can be effectively solved, synchronous optimization of budget and actual construction is realized, and the material management efficiency and benefit of the construction project are comprehensively improved.

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

An RFID enabled stock monitoring system comprises an RFID enabled mobile trolley 2 to hold stock that requires monitoring, an RFID scanner 4, a visual interface communicating with the scanner, and a s

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 invention discloses a pomelo stock management method and system, and the method comprises the steps: obtaining a pomelo ex-warehouse request, and querying a storage region meeting the pomelo ex-warehouse request from a pomelo warehouse database according to the pomelo ex-warehouse request; locking one or more target pomelo fruit boxes from the storage area, wherein each pomelo fruit box corresponds to a unique identity label; and the identity label of the target pomelo fruit box is scanned, the state of the target pomelo fruit box is updated to be ex-warehouse, so that pomelo fruit ex-warehouse corresponding to the pomelo fruit ex-warehouse request is completed, and the pomelo fruit box state comprises warehousing, to-be-ex-warehouse and ex-warehouse. According to the pomelo stock management method and system, the working efficiency of pomelo stock management is improved, and the loss in pomelo storage is reduced.

The application discloses a smart construction site management system, method and equipment based on BIM technology, and relates to the technical field of construction site management.The smart construction site management system based on BIM technology comprises a material acceptance module, a progress simulation module and a stock control module.Through deviation analysis of material acceptance based on obtained to-be-entered material data to obtain a deviation analysis index, whether to perform progress simulation is judged based on the obtained deviation analysis index.If yes, the entering of material is simulated, and a progress compliance score is obtained.Finally, whether to perform stock management is judged according to the obtained progress compliance score.If yes, real-time stock data is obtained and analyzed to obtain a stock state evaluation value, and the timeliness of tracking and controlling the progress of entering and leaving materials in the smart construction site management process is improved, and the problem of low timeliness of tracking and controlling the progress of entering and leaving materials in the smart construction site management process in the prior art is solved.

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.

A method for managing stock of a vending machine, and a system for performing the method by training a machine learning system to predict sales of a plurality of products available in the vending machine, the method comprising: receiving historical data comprising time series of sales of products from the vending machine on a plurality of days; filtering the historical data to form filtered historical data based on a ratio of the total number of days on which the product sold zero units relative to a total number of days the product has been sold for; comparing the ratio to a predefined threshold ratio; and filtering from the historical data, conditional upon the ratio being less than the predefined threshold ratio, the time series of sales of the product; and using at least parts of the filtered historical data for training the machine learning system.

To improve the efficiency of proper stock management by performing proper management of mutual management of a reservation channel and a property management system (PMS) by using artificial intelligence (AI).SOLUTION: A system includes means for performing mutual management of a reservation channel and a property management system (PMS), means for managing proper stock, and artificial intelligence (AI).SELECTED DRAWING: Figure 1

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 discloses a feeding bin of an automatic glass packaging line, and relates to the technical field of glass manufacturing and processing.The feeding bin comprises a workbench and a movable sliding table, a sliding rail in a horizontal state is fixedly arranged at the top of the workbench, and the movable sliding table is connected with the sliding rail in a sliding fit mode; the top of the movable sliding table is fixedly provided with a plurality of material separating plates which are in a vertical state and are transversely arranged, a limiting mechanism is arranged between every two adjacent material separating plates, a discharging table is fixedly arranged on one side of the sliding rail, and a material ejecting mechanism is fixedly arranged on the other side of the sliding rail. Compared with a plurality of independent stock bins, by means of the movable sliding table and the material partition plates, protection plate materials of various specifications can be stored in a limited space, the production space is greatly saved, and the land cost of an enterprise is reduced. The guard plate materials of all specifications are stored in a unified stock bin, so that stock management, material identification and scheduling are only needed to be carried out on the stock bin, the management process is greatly simplified, and the management difficulty is reduced.

To enable a resource to be delivered at a required time.SOLUTION: A control server 1 collates stock management data 21 for storing a stock status of a server in a computer with customer management data 22 for storing servers used and the number of servers used on a customer side, calculates the number of days required till a delivery of the number of required servers when the customer side expands them, and notifies a server on the customer side of a prediction period that is recommended from the number of days required by the delivery and is used for capacity planning.SELECTED DRAWING: Figure 2A

The invention discloses a plate stock collaborative management method and system based on home orders, and relates to the technical field of stock management, and the method comprises the steps: collecting order data and stock data, and carrying out the data preprocessing; a moving average order and an autoregression order are calculated through an autocorrelation value and a correction coefficient based on order data, a difference order is determined through time sequence data inspection, and an ARIMA model is constructed for order data prediction. According to the method, the moving average order q and the autoregression order p are determined by combining ACF and PACF graphs, and parameter combination is automatically optimized through AIC / BIC criteria, so that the accuracy of model parameter selection and multi-criterion collaboration are realized, the limitation of a single evaluation method is avoided, and through the combined use of the ARIMA model and the random forest model, the accuracy of model parameter selection is improved. The method achieves the comprehensive capturing of the linear and nonlinear characteristics of order data, and improves the prediction accuracy and robustness.

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.

A computerized method of managing paint consumable product information is disclosed. The method includes, for a smart shelf having a sensor configured to weigh consumable products thereon, determining consumable product information of the smart shelf by receiving a first digital signal when a product is placed on the smart shelf. A consumable product information adjustment of the smart shelf is determined due to a second digital signal provided when the product is removed, or when periodic measurement of weight on the scale occurs. A weight of the product removed is determined upon receipt of a third digital signal and replacement of a container that had contained the previously removed product. The consumable product information and the consumable product information adjustment are sent to a remote server for tracking the consumable product information and consumable product information in a virtual cabinet at the server.

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.

The invention discloses a canteen dining management system based on the Internet of Things and the face recognition technology. The canteen dining management system comprises a user identity recognition module, a dining process optimization module, a food material purchase-sale-stock management module, a data processing center module and a communication network module. Wherein the user identity recognition module is electrically connected with the data processing center module and is used for collecting and processing face feature data of a user; the dining process optimization module is electrically connected with the data processing center module and is used for generating a personalized dining scheme according to the user identity information and optimizing the dining process; the food material purchase-sale-stock management module is electrically connected with the data processing center module and is used for monitoring a food material stock state in real time and generating a purchase plan; and the communication network module provides support for data transmission among the modules. Through fusion of the Internet of Things and the face recognition technology, the identity verification accuracy is remarkably improved, the queuing time is shortened, the food material loss is reduced, and the intelligent level and the operation efficiency of canteen management are effectively improved.

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.

To make it easy to identify from which mother stock a child stock, which is sold by division like Agave, has been divided, thereby enhancing the safety of transactions by enthusiasts.SOLUTION: A stock management system is provided, comprising: a stock database 21 that manages stock information in an identifiable manner; stock information reception means 42 that receives registration of stock information; address information disclosure means 43 that issues a public address that allows external reference to individual stock information; and page transmission means 44 that transmits a web page containing corresponding stock information in response to access to the public address. The stock information includes a stock relationship record that enables reference to the stock information of the mother stock of the relevant stock, and video address information that allows access to a video source showing the extraction of the relevant stock from the mother stock. The stock information reception means 42 is capable of accepting either the upload of the video source or the input of an external address of an externally accessible video source. The page transmission means 44 includes, in the web page, a link to the video source.SELECTED DRAWING: Figure 1

A stock management system for consumable parts stocked in a vehicle 200 that may be used by an agent during an installation or repair task. There is a plurality of storage locations where each is associated with a plurality of sensors and can accept at least one parts container 204 that may be partitioned into subdivisions. There is a controller 218 that retrieves measurements from the sensors, and wirelessly transmits these to an inventory engine (1112, fig. 11). The inventory engine uses the data to determine the quantity of parts in each container or container subdivision. There may be three or four sensors associated with each storage location, and these may be weight sensors. The system may further comprise a camera 216 that captures and transmits a picture of each container to the inventory engine where image analysis is used to calculate the number of parts in each container subdivision. The system may further comprise a portable store 214 that is docked in the vehicle when not in use, pipe storage and inventory monitoring 206, cable reel storage 208 and monitoring of remaining length, and tool storage and monitoring 212.

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.