102 results about "Inventory control" patented technology

The invention discloses an optimization method and system for aviation equipment storage and a medium, and the method comprises the steps: collecting multi-dimensional dynamic data, carrying out the fusion cleaning and structural feature extraction, and generating a high-dimensional feature set; outputting a dynamic demand prediction value and uncertainty measurement by using a hybrid intelligent prediction model fusing time sequence prediction and ensemble learning; calculating an optimal inventory control parameter through a stochastic optimization model in combination with the aviation material key grade and the stockout loss cost; and generating an inventory operation instruction according to the optimal inventory control parameter and the real-time inventory state, and outputting a strategy report with confidence evaluation and key influence factor analysis. According to the method, multi-dimensional accurate prediction of the aerial material demand and dynamic optimization of the inventory strategy are realized, the inventory control precision and the resource utilization efficiency are remarkably improved, the stockout risk and the overstocked cost are effectively reduced, and the reliability and the economical efficiency of aviation equipment guarantee are enhanced.

The invention discloses a supply chain material inventory control method and system, and the method comprises the steps: carrying out the demand distortion analysis of the demand signal data of each node in a target supply chain, and obtaining the demand signal distortion amplitude of each node; if the demand signal distortion amplitude exceeds a preset distortion amplitude threshold, performing distortion degree classification prediction on the demand signal distortion amplitude to obtain a real-time demand prediction result of each node; performing sensitivity analysis on the real-time demand prediction result, and generating a safety inventory parameter of each node; generating a collaborative inventory distribution scheme of the target supply chain according to the safety inventory parameters and the information sharing evaluation indexes; and performing cooperative control on the material inventory of each node in the target supply chain according to the cooperative inventory distribution scheme. The flexibility and cooperation efficiency of the supply chain to adapt to the market change can be improved through the cooperation inventory distribution scheme, so that the risk resistance capability is enhanced, and the capability of the supply chain to cope with the market demand fluctuation complex scene is improved.

The invention discloses a pet food intelligent production management and control system and a traceability code spraying device thereof, and relates to the technical field of pet food production, and the pet food intelligent production management and control system comprises a production planning unit, a raw material management unit, a production control unit, an intelligent mistake proofing unit and a quality traceability unit. The production planning unit optimizes a production plan and accurately allocates resources, the raw material management unit performs supplier qualification evaluation, raw material multi-level quality inspection and intelligent inventory regulation and control, quality is controlled from the source, the supply chain risk is reduced, the production control unit depends on the equipment real-time monitoring and fault early warning technology, the stability of production parameters is guaranteed, and the production efficiency is improved. The intelligent error-proofing unit integrates OCR verification, threshold detection and prediction model construction, rejects error detection data, prevents data missing, realizes real-time early warning and closed-loop processing of quality risks, and eliminates quality problems in the bud stage, and the quality tracing unit performs real-time early warning and closed-loop processing on the quality risks through full-link data acquisition and a unique tracing code. And accurate positioning and rapid recall of problem products are supported.

Embodiments of the present invention provide a trackable device system comprising a modular housing integrated with personal or enterprise assets. The system includes a chipset with wireless communication modules (e.g., BLE, UWB, GPS, or cellular), a processor, location modules, memory, and power management components. The processor supports proximity detection, geofencing, motion-triggered alerts, lost-mode activation, and SOS signaling to emergency contacts. Integration with mobile platforms enables real-time tracking, augmented reality overlays, and compatibility with networks like Apple Find My™ and Google Find My Device. Security features include encrypted memory, tamper detection, secure pairing, and a secure enclave for sensitive data. In enterprise settings, the system supports blockchain-based inventory logging, role-based access, and RFID / NFC inventory control. The device adapts to diverse form factors and deployment scenarios, ensuring reliable location tracking, anti-tamper protection, and secure asset management for consumer, industrial, and institutional applications.

The invention discloses an intelligent inventory control system based on a real-time data analysis and automation technology, and relates to the technical field of inventory control, and the system comprises an inventory tracking module which tracks the inventory in real time, updates the inventory data, and records the basic information of the inventory materials through the radio frequency identification technology and the bar code scanning technology; the inventory demand prediction module constructs and trains an inventory demand prediction model based on historical data of a certain type of people, uses the model to determine the material type of the current needed inventory, predicts the material inventory quantity based on customer demands, outputs a prediction result, dynamically adjusts the safety inventory level based on the prediction result, and formulates a replenishment plan. Abnormal detection and early warning are carried out; and the inventory decision optimization module is used for comprehensively analyzing historical data and real-time inventory data of a certain type of people, filtering and controlling the inventory data according to an analysis result, and optimizing inventory management. According to the invention, inventory management decisions can be optimized, and risks of inventory overstock and shortage can be reduced.

The invention provides a demand degree and inventory optimization-based medicine data dynamic management method and system, and relates to the technical field of medicine data management. The method comprises the following steps: firstly, acquiring consumption time series data, inventory time series data and environmental factor time series data of a target medicine set, and fusing the data to generate medicine dynamic collaboration data; secondly, calculating a corresponding real-time demand degree in a target medicine set based on the medicine dynamic collaboration data; according to the real-time demand degree, dynamically generating a dynamic safety inventory benchmark; the real-time demand degree is coupled with the real-time safety inventory benchmark of the corresponding target medicine, and a dynamic inventory control line is generated; and finally, updating and managing the inventory data of the target medicine set according to the dynamic inventory management and control line. According to the technical scheme provided by the invention, closed-loop intelligent inventory management from environment perception to automatic replenishment execution is realized.

The invention discloses a trade commodity dynamic inventory management and control system based on machine learning, and the system comprises the following modules: a structure state module which is used for obtaining the inventory structure state data of each commodity and generating a corresponding inventory structure state vector; the structure diagram module is used for constructing a structure connecting edge and generating a commodity dynamic diagram; the structure aggregation module is used for performing structure feature aggregation on the commodity adjacency relation to generate structure aggregation features; the demand prediction module is used for outputting a demand prediction result and demand plasticity parameters based on the improved iTransform; the inventory decision module is used for executing inventory decision calculation and generating an inventory adjustment track; and the execution feedback module is used for generating an inventory control instruction according to the inventory adjustment track, executing an inventory control operation and updating the inventory structure state data. According to the invention, through machine learning prediction of inventory structure perception, dynamic executable management of trade commodity demands and inventory regulation and control is realized.

This invention discloses a collaborative management method and system for the entire warehousing and logistics process, belonging to the field of warehousing and logistics information technology. Addressing the technical shortcomings of existing warehousing and logistics management, such as low inventory accuracy, poor scheduling efficiency, lagging information collaboration, and insufficient cost control, this invention integrates the entire process of inbound, storage, picking, outbound, transportation, and traceability, constructing a closed-loop management system of "data perception - algorithm decision-making - process collaboration - dynamic optimization." Through multi-dimensional data collection, optimized algorithm scheduling, cross-system data collaboration, and full-process traceability technology, this invention achieves precise inventory control, optimized logistics route planning, and efficient resource allocation, significantly improving warehousing and logistics operational efficiency, reducing overall costs, and enhancing management transparency. It is applicable to the digital management needs of warehousing and logistics in various industries, including manufacturing, retail, and e-commerce.

The application provides an intelligent inventory control management method and system based on a supply chain cooperation mechanism, applied to the technical field of supply chain management, preliminary demand prediction of a downstream partner is received, demand intention information containing customization component possibility weight and potential demand range is generated according to the prediction, after the upstream supplier receives the demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, the method performs flexible preparation in advance, including production window soft reservation, upstream material pre-communication and special mold preparation, effectively coping with the supply uncertainty of the customized components, avoiding the dilemma of standard component overstock and customized component shortage, realizing lean production and on-time delivery, and bringing significant economic benefits and competitive advantages to enterprises.

An inventory control system includes an object storage device, a display device, and one or more processors. The object storage device includes a plurality of compartments, where each compartment has a plurality of storage locations for storing objects. The display device is configured to display information about the object storage device. The one or more processors are configured to establish a database of descriptions for a plurality of objects configured for storage in the inventory control system. The one or more processors retrieve a plurality of object keywords corresponding to a plurality of objects stored at a plurality of storage locations within one of the plurality of compartments. The one or more processors also generate a text block based on the retrieved plurality of object keywords. On the display device, the one or more processors display a representation of the plurality of compartments of the object storage device with the text block applicable to the one of the plurality of compartments.

The application discloses a kind of inventory optimization methods of charging facility spare parts replacement cycle and failure rate analysis, and the core process of this method includes building data layer, multidimensional data is cleaned and optimized, to realize standardized storage;Based on the LSTM algorithm, a multidimensional linkage prediction model is built, the loss effect of design defects and environmental factors is quantified to optimize the model, and the accurate spare parts replacement cycle threshold and equipment failure rate are output;According to the flow properties of spare parts, a differentiated inventory management mode is designed, and the optimal management mode of slow-moving parts is selected;A full-cost quantification model is built to calculate the total cost and service level under each mode;Finally, with the goal of minimizing cost, an intelligent inventory control model is built, which dynamically outputs inventory warning thresholds, replenishment quantities and times;Through the algorithmization and parameter quantification of the whole process, the application realizes fine and intelligent management of inventory, significantly reduces operating costs and stockout risk, and improves the stability of charging facilities.

This invention discloses an automated inventory control method, system, and automated storage and retrieval system (AS / RS) for instant retail, relating to the field of warehouse automation control technology. The method includes: S1, acquiring the layout parameters of the AS / RS, constructing a topology map of the walking network based on the layout parameters, the topology map containing nodes and edges, nodes corresponding to work points, installing sensors on the stacker crane, and collecting motion state data of the stacker crane during task execution through the sensors; S2, associating and storing the motion state data with the path information of the stacker crane during task execution to form a motion state record; extracting the motion state data feature values ​​of each node interval from the historical motion state record, assigning weight adjustment values ​​to the corresponding edges based on the feature values, superimposing the weight adjustment values ​​onto the original weights to obtain updated weights, and recalculating the path based on the updated weights, so that the path planning result can reflect the actual traffic quality of the path segment.

The present invention relates to a dispensing system designed for dental applications, comprising an applicator with one or more reservoirs or cartridges containing dental material. The applicator integrates a dispensing mechanism and an outlet for controlled material delivery. It features a wireless communication device capable of receiving and transmitting information related to the reservoirs or cartridges to a remote device. The remote device, equipped with its own wireless communication and control unit, monitors the status and usage data of the reservoirs, and relays this information to a remote server. The system supports multiple communication protocols, such as RFID, NFC, Bluetooth, and Wi-Fi, facilitating seamless data exchange between the applicator, remote device, and server. Additionally, the system enables real-time monitoring of cartridge states— including fill level, identification, expiry date, and usage history— and stock management by updating inventory data upon delivery. This integrated network enhances traceability, inventory control, and operational efficiency in dental material dispensing.

The invention belongs to the technical field of cargo management, and particularly discloses an article warehouse-in and warehouse-out monitoring and inventory checking system and method, a terminal and a medium, when a person enters a goods taking channel, an entrance information acquisition module triggers a shooting unit to enter a tracking shooting mode, and position data in the length direction and the height direction are acquired in combination with a grating detection unit; when the person leaves, the position data and the video data are transmitted back to the background server for analysis, the article taking and placing position is marked, local shooting is carried out, historical data are compared, inventory increase and decrease information is generated, and the inventory is updated. The inventory checking control module carries out global shooting and comparison on all the goods shelves in a preset inventory checking time period, and inventory state batch updating is achieved. According to the invention, real-time monitoring and automatic inventory checking in the warehouse-in and warehouse-out process can be realized, and the accuracy and management efficiency of inventory data are improved.

A 3D printing system provides digital rights management protecting proprietary source code defining 3-D object data usable to print 3-D objects from uncompensated printing, and includes a central server, 3D printers, and corresponding single board computers (SBCs) each coupled to a respective printer. The central server stores the proprietary source code, permits displaying of an inventory of designs in an online store, and permits a user to securely purchase use of the source code to print one or more copies of a desired 3D object. The central server communicates across a network to incrementally stream the digital file containing the proprietary source code defining the desired 3D object to an SBC, and selectively controls each SBC / printer, to cause deletion of each incrementally streamed plurality of slices when the purchased use is completed. The SBC notifies the central server when the purchased use is completed.

A pallet system having a plurality of like boxes which are sized and configured to a fit on a standardized air cargo pallet such as a U.S. Air Force 463L pallet. Each box has four sides and a hinged lid and is typically formed of a plastic material. The lid has a configuration that mates with the configuration of other like boxes such that boxes can be stacked on top of each other and be nested together without falling off. Each box also contains a first latch element which is mateable with a second latch element on an adjacent like box to fasten the boxes together in a horizontal direction on the pallet. A box may contain interior separators or compartments to suit size and content requirements. A box may be constructed to function for a particular purpose in addition to storage and shipping. Suitable labels and identifications can be applied to a box for each of identification in an inventory control system which may be implemented in an App for a mobile phone.

Techniques are disclosed herein for extending the scope of cloud services into an internally deployed or externally deployed environment, as well as other cloud platforms, to enable migration and multi-cloud use cases. In one aspect, a computer-implemented method is provided, the method comprising: deploying a remote proxy device having a discovery plug-in in an external environment of a user; creating an asset source specifying a location of an external environment from which external assets and associated asset metadata should be found; generating a discovery job for retrieving asset metadata of external assets found within the asset source; executing a discovery job using the discovery plug-in to discover and retrieve external assets and associated asset metadata within the asset source; and providing the set of assets including the asset metadata of the external assets to the user as at least a portion of the inventory.

Smart Inventory Control Computer Device

An inventory control system is described for a filling plant (1) having at least one filling machine (6) performing a filling operation for forming composite packages (2) from a multi-layer composite packaging material and filling the composite packages (2) with a pourable food product, and a warehouse (20) having an inventory of packaging material elements (5) for forming the composite packages (2). The system comprises first tag elements (24) provided on respective storage units (22) designed to store a plurality of packaging material elements (5), each first tag element (24) comprising first inventory information relating to the packaging material elements (5) stored in the respective storage unit (22), a second tag element (26) provided on each packaging material element (5), said second tag element (26) comprising second inventory information relating to the associated packaging material element (5), and a processing arrangement (12, 16) for receiving operational data relating to a filling operation from the at least one filling machine (6), merging the first inventory information and the second inventory information with the operational data, and performing inventory management of the packaging material elements (5).

A method of managing inventory comprising generating a list of inventory items, identifying removal of one of the inventory items from inventory, updating the list of inventory items as inventory items are removed, predicting a future rate of removal of inventory items, and developing purchasing plan for inventory items based on predicted rate of removal.

1. Name of the product in this design: RFID tag inlay (1). 2. Purpose of this design: This product is used for the identification and tracking of items, such as logistics management, inventory control, or anti-counterfeiting verification. 3. The key design features of this product are its pattern, which consists of two symmetrical vertical stripes, a central rectangular element, a serpentine line pattern connecting the rectangular elements, and two dots (one below the rectangular element and one in the serpentine line). 4. The image or photograph that best illustrates the design's key features: the front view. 5. This design is a two-dimensional product, so the left, right, top, and bottom views are omitted; the back of this design is a part that is not easily seen or cannot be seen during use, so the rear view is omitted. 6. Other situations requiring explanation: In the design product (RFID tag inlay) of this application, the tag body and the circle are an integral part of the product and will be attached together to the surface of the target item.

The invention discloses an inventory control method and device for medical instruments, and relates to the field of medical instrument management, and the method comprises the steps: obtaining the information of each medical instrument in an inventory; constructing a knowledge graph, wherein the knowledge graph comprises a medical instrument node, a state node and a hierarchy node; a rule engine is adopted to classify each medical device based on the information of the medical device, nodes of the medical devices are connected to corresponding state nodes, the state nodes are connected to corresponding hierarchical nodes, and the hierarchical nodes comprise a freezing layer, an available layer and a scrap layer; and performing warehouse-out according to the hierarchy priority during inventory scheduling, performing sorting according to the remaining available duration in the available layer, performing sorting according to the remaining freezing duration in the freezing layer, and switching to the available layer after the freezing duration ends. According to the invention, the key factor of sterilization mode difference is systematically introduced for the first time, refined inventory control based on sterilization characteristics is realized, and the warehouse management efficiency is improved.

An inventory control system includes a tool storage device including a drawer, tray, or shelf having a plurality of storage locations for storing a plurality of items defining a profile in the tool storage device. The inventory control system includes a sensing device configured to sense a color, a display device configured to display information about the inventory control system, and a processor and a memory. The memory stores instructions that cause the processor to determine a plurality of colors of the plurality of objects stored in the tool storage device, the instructions also cause the processor to generate an image in the form of a color block arrangement wherein a display of color blocks represents associated color data for the plurality of objects, and the size of each color block is proportional to the percentage of the RGB color data in the contour.

Methods and systems for providing mechanisms for automated inventory control are provided. In embodiments, an operational workflow for providing automated inventory control includes automated data collection and automated image data analysis. The automated data collection includes capturing image data for a storage facility by a capturing device (e.g., an unmanned aerial system (UAS)). The automated image data analysis includes functionality to detect objects (e.g., containers, trailers, empty slots, and / or other objects) appearing in the image data (e.g., using a machine learning (ML) model), to identify the objects in the image data (e.g., using the ML model), to inspect the objects (e.g., including determining a condition and / or location of the objects) based on the collected image data and metadata associated with the image capturing device and correlated to the image data (e.g., using an advance mathematical rule-based analysis), and / or to generate results that may be used by an inventory management system.

The present application belongs to the technical field of spare parts management, and discloses a spare parts management method for maintenance of a three-phase asynchronous motor, which comprises the following steps: preparing basic data information, establishing a standard subordinate relationship between the three-phase asynchronous motor and the spare parts; processing the basic data and arranging them in order; spare parts classification and control, combining the AHP-ABC method and the characteristic data clustering method; screening the number of important three-phase asynchronous motors on the production line; and inventory control and maintenance plan of important motor spare parts. The present application improves the reliability and accuracy of the three-phase asynchronous motor on the production line, and has good stability.

Systems and methods for carrying out automated inventory control by automatically sensing product levels in-situ, and automatically ordering new product when product levels are determined to be excessively low. Sensor modules may be placed under, over, or near products such as consumer goods, to continuously detect their levels as they are stored in normal use. When detected product levels are sufficiently low, new product can be automatically ordered, or instructions can be transmitted to refill or replace the product. In this manner, product depletion can be detected without user intervention or manual disturbance of the product, and new product can be automatically requested to refill or replace the depleted product.

The application relates to the technical field of laboratory automation management and data processing, in particular to a detection consumable allocation method and system based on comprehensive efficiency optimization and a storage medium, a predicted sample quantity in a future early warning period is output by calling a sample quantity prediction model, and a single-specification reservation coefficient is dynamically determined accordingly, so that safe inventory control considering current task execution and future demand shortage prevention is realized; on the basis, a plurality of candidate allocation schemes are generated within the limitation, multi-dimensional efficiency calculation is carried out in combination with a single-specification unit cost, a to-be-detected sample quantity, a fixed control site quantity and real-time residual effective time, a consumable cost performance, actual utilization rate and inventory turnover efficiency obtained are fused into a comprehensive efficiency value for final decision, the limitation of traditional single-dimensional extensive allocation is avoided, on the premise of meeting the absolute well site demand of single detection, the overall high procurement cost is reduced, well site vacancy waste is reduced and near-efficiency period consumables are accelerated.

To provide a verification system for verifying that authenticity determination data has no alteration, and that the authenticity determination data is data acquired by a predetermined authenticity determination method.SOLUTION: A verification system comprises: an encrypted data acquisition unit for acquiring encrypted data including authenticity determination data on a product and encrypted with a secret key; a decryption unit for generating first decrypted data by decrypting the encrypted data acquired by the encrypted data acquisition unit with a first public key corresponding to the secret key; an authenticity determination data output unit for outputting at least a part of the authenticity determination data included in the first decrypted data; a verification data request reception unit for receiving, from a user terminal used by a user of the authenticity determination data, a request for verification data indicating that the authenticity determination data is data acquired by a predetermined authenticity determination method; and a verification data output unit for outputting the verification data to the user terminal.SELECTED DRAWING: Figure 1

The present application provides a digital jewelry inventory control system, comprising an inventory library, an inventory data acquisition module, a review module, an adjustment factor module, and a screening module. The inventory library includes storage space and an environmental system, and the environmental system includes environmental factors. The inventory data acquisition module can acquire the number and characteristics of items in the inventory library through data acquisition equipment. The review module determines whether to conduct a review inventory based on the number and characteristics of items acquired by the inventory data acquisition module. The adjustment factor module can obtain the environmental factors to be adjusted by associating the characteristics of the items with the environmental factors. The screening module can filter out the reasons for review from the environmental factors using the characteristics acquired again after adjusting the environmental factors. This application is applicable to the field of jewelry inventory management and can comprehensively provide data collection and environmental control, thereby improving the accuracy of jewelry inventory data.