13 results about "Delivery timing" patented technology

A computer-implemented system (100) for real-time detection of supply chain disruptions and forecasting of the financial impact in a computer-driven ERP environment, wherein the system (100) comprises: a data acquisition interface (1) configured to continuously capture structured and unstructured operational data from one or more ERP modules, supply chain execution systems, and enterprise event streams; a data management and harmonization engine (2) configured to validate, normalize, deduplicate and semantically map the captured data into a unified, time-aligned canonical enterprise schema; a disturbance signal fusion and anomaly detection engine (3) configured to fuse signals from multiple sources and detect disturbance events using one or more machine learning models to output a disturbance value, event class and a list of affected nodes; a supply chain dependency graph and a digital twin builder (4) configured to create and update a dynamic dependency graph representing suppliers, facilities, transportation routes, SKUs, orders, contracts and lead times, and propagate disruption effects across the graph; a financial impact forecasting engine (5) configured to estimate the real-time and forward-looking effects of the disruption on one or more financial measures, including sales, margin, working capital, cash flow, service level penalties and inventory holding costs, and furthermore the effects on the cost of goods sold (COGS) and / or the landed costs using a Kl-based forecast with a range of uncertainty; a module for coordinating corrective actions and automating workflows (6) configured to generate ranked corrective actions and initiate ERP workflow steps, including reordering, reassignment, alternative sources of supply, production rescheduling and logistics diversions, wherein the ranked corrective actions include recommendations to resolve the disruption by using available stock, reassigning low-priority shipments or diverting shipments that can be delivered later within a lead time window; an explainability, audit trail and compliance logging module (7) configured to record model inputs, feature assignments, decision justifications, scenario assumptions and action results as an immutable audit trail; and a visualization, alerting and collaboration interface (8) configured to output real-time alerts, dashboards and scenario comparisons to authorized users and downstream systems via APIs and role-based access controls, wherein the interface (8) generates a quick report view that displays early disruption signals and impact on manufacturing costs, delivers notifications to mobile devices, triggers a special urgent notification if the disruption affects a high-priority trading partner, and accepts user responses on mobile devices that automatically and without delay trigger corrective actions or updates in the ERP system.

An object of a system according to an embodiment is to propose an optimal delivery timing based on a use frequency of a user.SOLUTION: A system includes a collection unit, an analysis unit, and a proposal unit. The collection unit collects use frequency data of a user. The analysis unit analyzes the data collected by the collection unit and calculates a delivery timing. The proposing section proposes a delivery timing to the user based on the analysis result obtained by the analyzing section.SELECTED DRAWING: Figure 1

To provide a cushioning material that can be attached to irregularly shaped structural materials, has a short delivery time, reduces the number of parts, and is easy to disassemble and reuse. [Solution] The cushioning material 1 consists of four cushion blocks 10 connected in series along the center line c with a connecting portion 14 in between. A fixing hole shape 20 extends from the leading cushion block 10, and a fixing string shape 30 extends from the trailing cushion block 10. Each cushion block 10 has a rectangular base portion 12, a pillow portion 11 provided on the base portion 12, a circular projection portion 13 protruding from the lower surface 12a of the base portion 12, and umbrella portions 17, 18, and 19 that protrude from the outer circumferential surface of the projection portion 13 at intervals.

We provide an ordering system that can avoid space constraints in areas such as parts storage and production sites. [Solution] An ordering system 1 for ordering the delivery of multiple types of parts by specifying the quantity and delivery time, comprising a controller 4 that creates and transmits order data. The controller 4 determines the required parts, their quantities, and delivery times as order data. From the required parts, it determines the additional quantity of each part that can be loaded together until the cart is full, based on the ratio 6 of parts that can be loaded together on the same cart and the total number of parts that can be loaded together until the cart is full. The controller 4 then adds the parts and quantities, including the additional quantities, to the order data.

A system is provided.SOLUTION: A system comprising: user interface means for a receiver to input and change a desired delivery time; communication means for transmitting the desired delivery time input through the user interface means to a server; data management means for receiving the desired delivery time transmitted by the communication means and storing the desired delivery time in a database; route generation means for generating an optimal delivery route based on the desired delivery time stored in the data management means; and notification means for transmitting information on the delivery route generated by the route generation means to a terminal of a deliverer.SELECTED DRAWING: Figure 1

The invention provides a production and purchase collaborative optimization system and method based on a constraint theory. According to the method, a supply chain and a production process are optimized by defining a system target, identifying key constraints, coordinating purchase and production plans, implementing a purchase overdue early warning mechanism, and implementing a feedback and improvement mechanism. The system architecture comprises a front-end user interface and a control background, and the control background is provided with a target definition module, a constraint identification module, a production and purchase cooperation module, a purchase overdue early warning module and a feedback improvement module. And the early warning mechanism triggers early warning when the actual delivery time exceeds the predicted delivery time and the buffer erosion rate is greater than the buffer erosion rate threshold value by monitoring the predicted delivery time, the actual production plan and the raw material inventory of the purchase order in real time. According to the DBR optimization algorithm, the overall efficiency of the system is improved by recognizing constraint resources, setting a buffer area, establishing a signal mechanism and dynamically adjusting a purchase plan and a production plan. According to the invention, the collaborative efficiency of purchasing and production is effectively improved, the operation cost is reduced, and the timeliness and reliability of the purchasing process are ensured.

In e-commerce, web content (such as a checkout page) may include delivery time information associated with a product. To obtain the delivery time information, the computer may send an application programming interface (API) request to the fulfillment network. However, a fulfillment network is often delayed in responding to an API request. Also, there may be data privacy concerns with this approach. Alternatively, precomputed delivery time information may be sent from the fulfillment network, but this may result in a large amount of data that must be stored. In some embodiments, a data structure may be generated that includes a product-to-schedule mapping and a set of delivery schedule tables. Each of the delivery schedule tables may be based on a respective different set of one or more categories to which multiple ones of a plurality of products map. Computer memory resources may be saved.

A system and method for optimizing delivery of data over hybrid networks by generating delivery plans derived from a delivery schedule and optimizing delivery timing, delivery method, and network selection based on data priority, caching availability, delivery cost, and destination reach.

The invention provides a goods taking method of an intelligent trolley and a control system. According to the method, the target task is added into the task waiting queue for queuing through the delivery time window and the delivery priority of the target task, and the waiting time of the target task is predicted through the latest pickup time window of the plurality of arranged tasks before the target task in the task waiting queue; predicting the latest goods taking time window of the target task based on the delivery time window, the waiting time length and the delivery planning path of the target task; and controlling the target intelligent trolley to complete goods taking in the latest goods taking time window of the target task. The starting time point of delivery of the intelligent trolleys is delayed through the latest goods taking time window, the intelligent trolleys including execution tasks can be included in the goods taking management range by strictly controlling the goods taking time window, the utilization rate of the intelligent trolleys in a factory is increased, and therefore the number of the intelligent trolleys on the road of the factory is reduced.

The invention provides a production task scheduling method and device for die change optimization, and the method comprises the steps: generating a main time axis for marking delivery time nodes, and a plurality of sub time axes which are the same as production equipment in number and are aligned with the main time axis; and filling production task units of products of various specifications and models in a time period between every two adjacent delivery time nodes corresponding to each time axis, so that the production quantity of the products contained in the production task units meets the delivery quantity of the corresponding delivery time nodes and has the shortest comprehensive mold change time. Each production task unit is provided with a die change time subunit and a production time subunit of a production batch plan of products of one specification and model, the judgment problem of the optimal die change opportunity can be converted into the dynamic calculation problem of the optimal production unit size, and the production efficiency is improved in a simpler and more visual mode.

Computer-implemented method for controlling and / or regulating a spectacle lens manufacturing process, comprising: Recording orders for the production of spectacle lenses or pairs of spectacle lenses and storing the orders in an order data storage system; automatic sorting of the stored orders in an insertion sequence, wherein the sorting is performed according to at least one sorting criterion; and Inserting the spectacle lenses or pairs of spectacle lenses to be manufactured according to the individual orders into production, wherein the insertion of the spectacle lenses or pairs of spectacle lenses to be manufactured into the production takes place in discrete time intervals, and wherein within a discrete time interval the spectacle lenses or pairs of spectacle lenses to be manufactured are inserted into the production according to the insertion sequence, where at least one sorting criterion includes an insertion point, the insertion point for a specific order being determined by: Recording the time of receipt of the order, Adding to the time of receipt of the order within a predetermined delivery interval, thereby determining a delivery time; Subtracting from the delivery time of a machining interval, thereby determining the insertion time, wherein the order data storage is divided into several groups, each order is assigned to one of the groups, and wherein group membership is a sorting criterion; and where the sorting of orders within a group or subgroup is done according to the insertion time.

This invention discloses a dynamic optimization method for multi-supplier order allocation in cross-border supply chains. It acquires historical cross-border logistics timeliness data for the supplier's region, as well as historical long-term production quality, production costs, and delivery times data. The data undergoes multivariate fusion preprocessing through standardization and attention mechanisms; data decomposition is then performed; local features are extracted using a temporal convolutional network, and long short-term memory networks capture long-term dependencies, outputting a comprehensive predicted value; trapezoidal fuzzy number transformation and defuzzification are applied to the supplier's qualitative criteria to generate normalized fuzzy weights; finally, an iterative bilateral auction mechanism is used to perform iterative bilateral optimization based on the predicted values ​​and fuzzy weights, maximizing the social benefits of order allocation. This invention solves the problem of traditional methods struggling to dynamically integrate quantitative and qualitative indicators, significantly improving the efficiency and adaptability of cross-border supply chain order allocation.