18 results about "Transport time" patented technology

The invention discloses a blockchain-based inventory prediction and management system and method for cross-border e-commerce goods, and belongs to the technical field of inventory management. The method comprises the following steps: splitting alternative links according to the dimensions of a transportation mode and a transportation line, calculating the transportation time of each link, and constructing a transportation time set; based on the transportation time set, constructing an input feature matrix, training a convolutional neural network, generating an adjusted transportation time set, and screening an optimal link; generating a transportation list based on the optimal link; when the transportation list is confirmed to be executed, deducting the stock quantity of the SKU corresponding to the departure place warehouse; when the goods arrive at the destination area warehouse, updating the stock quantity of the SKU corresponding to the destination warehouse; obtaining the maximum daily purchase amount of the manufacturer, calculating the regional inventory demand priority, and formulating a purchase amount distribution rule; matching the optimal link with a purchase quantity distribution rule, adjusting the optimal link, and calculating an inventory turnover rate; and adjusting the daily purchase amount of the manufacturer based on the inventory turnover rate.

The invention belongs to the technical field of fresh cold-chain logistics distribution, and particularly relates to a path optimization method and path optimization system for fresh cold-chain logistics distribution, and the method comprises the steps: planning a first path connected with a plurality of first nodes, and calculating a first deviation between the total transportation time of the first path and a preset standard transportation time; when the first deviation is greater than a first preset threshold value, generating a deviation information set serving as a first optimization result by calculating predicted sampling time of a plurality of first nodes and acquiring actual sampling time of the first nodes; updating the average deviation parameter based on the first optimization result to form a second deviation, and further generating a to-be-executed path based on the second deviation; according to the method, the deviation of the actual transportation time and the preset standard transportation time caused by accident factors in the distribution process can be responded in real time, and meanwhile, the punctuality rate of fresh cold-chain logistics distribution can be improved by continuously monitoring and adjusting and correcting the subsequent distribution plan.

A molding system includes: a composition applying unit configured to apply a composition on a substrate; a molding unit configured to perform a molding process by bringing a mold into contact with the composition; a transport unit configured to transport the substrate between the composition applying unit and the molding unit; a unit configured to calculate an expected value of an interval time from the applying of the composition to start of the contact; and a control unit configured to perform control such that a difference between an actual interval time and a target value of the interval time is less than a predetermined value by changing at least one of a timing of the applying, a transport waiting time, a transport time, and a contact waiting time if the difference between the expected value and the target value of the interval time is equal to or greater than the predetermined value.

The application provides a low-carbon multimodal transport network design method considering consignor path selection, comprising: obtaining freight demand data, multimodal transport network topology, parameters of each transport mode, network node transfer time and cost; obtaining consignor preference data covering all origin-destination points in the planning period, brand effect, utility coefficient of transport time and transport cost, low-carbon subsidy data; based on the obtained data, constructing freight flow batch transport constraints, low-carbon subsidy constraints, consignor path selection constraints and multimodal transport network constraints respectively; establishing an objective function for the purpose of pursuing lower carbon emission cost on the premise of not paying a large amount of low-carbon subsidies; under the constraints, using a particle swarm optimization algorithm embedded with CPLEX to solve the objective function to obtain a low-carbon multimodal transport network design scheme. The method can accurately depict the consignor path selection behavior and realize the dual improvement of transport efficiency and environmental benefit.

The application discloses an intelligent logistics supply chain wisdom management method and system, which comprises the following steps: collecting historical transportation time data of each path, calculating average transportation time and path historical fluctuation rate according to the obtained historical data; obtaining real-time data, calculating buffer duration according to the average transportation time and the path historical fluctuation rate, and dynamically adjusting the buffer duration according to the current road condition and time period; obtaining a predicted supply time and an actual time limit, calculating a fault tolerance time difference value according to the predicted supply time and the actual time limit, and dividing a risk level according to the fault tolerance time difference value; taking the calculated buffer duration as a correction factor to correct the fault tolerance time difference value, adjusting the priority according to the corrected fault tolerance time, and through the buffer duration mechanism, short-term fluctuations are absorbed, resource allocation confusion is avoided, long-term trends are still captured, the frequent change of priority caused by temporary road condition change is effectively reduced, and the stability of the whole distribution system is improved.

The invention relates to the technical field of resource planning, in particular to an intelligent logistics tracking system driven by the Internet of Things, which comprises a positioning time sequence module, an aging verification module, a path resource module, a path evaluation module and a path optimization module. According to the method, the cargo displacement distance and the transportation duration are synchronously associated to form a tracking state capable of reflecting the advancing rhythm change, and the remaining time is continuously calculated around the delivery time limit, so that the aging pressure sensing in the transportation process is realized; on this basis, unified verification is carried out on storage capacity loading and unloading waiting and passing time consumption of multiple connectable paths in combination with the current position, comparative analysis is carried out on path time occupation and remaining time, and meanwhile continuous cycle time consumption fluctuation evaluation is introduced, so that limited risks are dominated in advance, and the accuracy of the system is improved. Therefore, weight distinguishing and sorting optimization of feasible paths are supported, and the probability of scheduling mismatch and resource waste of adjacent delivery nodes is reduced.

The invention discloses an intelligent logistics management method based on multimodal transport digital development, and belongs to the field of logistics, and the method comprises the following steps: carrying out the digitization of the size of a cargo and transportation tool loading space before the transportation is started, building a database, and carrying out the digitization of the size of the cargo and transportation tool loading space; the data recorded in the database comprises cargo parameters and transportation tool loading space parameters; according to the technical scheme of the invention, based on the database, digital trial assembly is carried out on the to-be-transported goods through virtual simulation, and the method has the following beneficial effects: before the goods are transported, the digital trial assembly is carried out on the to-be-transported goods through virtual simulation based on the established database, so that a final transportation scheme is obtained. A transportation route, a transportation tool, a cargo loading position and a specific reinforcement scheme are determined before transportation, secondary loading and unloading requirements caused by load changing in the midway of transportation can be effectively avoided through preposed decision making, the loading and unloading operation complexity is reduced, the transportation time cost is reduced, and meanwhile the cargo damage risk is reduced.

The invention provides a scheduling method for underground mine rail transportation equipment, which comprises the following steps of: constructing a scheduling optimization model taking minimum transportation cost, maximum transportation ore grade and minimum transportation time as targets, solving the scheduling optimization model in combination with scheduling constraint conditions, and generating an initial transportation task plan; setting a mutual exclusion resource lock mechanism based on a resource mutual exclusion relationship between a transportation path and a loading and unloading point, performing scheduling simulation on the initial transportation task plan based on the mutual exclusion resource lock mechanism, simulating state changes in the transportation process of the electric locomotives, and dynamically calculating the transportation time of each electric locomotive; and optimizing the initial transportation task plan based on the determined transportation time, and generating a final scheduling scheme.

To shorten the transport time by transporting wafers that have a ring-shaped protrusion on the outside of a recess. [Solution] The robot hand (50) suctions and holds a wafer (200) which has a recess (202) in the central part of its back surface (201) and a ring-shaped protrusion (203) outside the recess. The robot hand is configured to include a protrusion suction unit (65) that sucks up the protrusion on one side, and a support unit (66) disposed to the side of the protrusion suction unit to support the protrusion suction unit. The robot hand (50) is mounted on a robot (18), and under the control of a control unit (57), the protrusion suction unit sucks up the protrusion of the wafer and transports the wafer from the cleaning unit (39) to the cassette (15) of the cassette stage (13).

An apparatus and method for line haul logistics management, the apparatus including a processor and a memory communicatively connected to the processor. The memory includes instructions configuring the processor to receive a transport request including transport data, generate projected transportation data based on the transport data, receive progress data associated with the transport, calculate a deviation index based on the projected transportation data and the progress data, determine an updated transport schedule as a function of the deviation index, generate a user interface data structure including the updated transport schedule and the progress data, and transmit the updated transport schedule and the user interface data structure. The apparatus also includes a GUI communicatively connected to the processor configured to receive the user interface data structure including the updated transport schedule and the progress data and display the updated transport schedule.

A medium transport device includes a transport section configured to transport a medium and a control section that controls the transport section; wherein the transport section includes a first transport section that transports the medium and a second transport section that transports the medium downstream of the first transport section. The control section selects a transport speed of the medium by the second transport section from a plurality of types of predetermined corrected transport speeds based on a difference between an arrival time of the medium to a predetermined position downstream of the first transport section and a reference arrival time. The control section calculates a corrected transport time for transporting the medium at the corrected transport speed based on the difference and the selected corrected transport speed.

The present application relates to the technical field of warehouse logistics scheduling, and particularly relates to a warehouse logistics digital scheduling method and system based on cloud computing. The method comprises the following steps: receiving a goods scheduling task issued by a warehouse management cloud platform, identifying the current position, volume and weight of the goods to be scheduled in the warehouse scheduling task; allocating a transport vehicle according to the current position, volume and weight of the goods to be scheduled; calculating the transport operation load and the estimated time consumption of the transport operation based on the transport vehicle allocation result; dividing the transport operation vehicle allocation result into a transport operation wave set using the mobile operation load, and dynamically coordinating the transport operation path in the transport operation wave set, which has an estimated time consumption of the transport operation exceeding a preset transport time tolerance range, with the adjacent transport operation path, to obtain a to-be-executed transport operation wave set; and uploading the to-be-executed transport operation wave set to the warehouse management cloud platform. The present application helps to improve the timeliness, stability and overall operation efficiency of warehouse logistics scheduling.

Examples provide dynamic delivery promises based on machine learning (ML) predicted transit time to improve promise accuracy and on-time delivery. Actual transit times for previous package deliveries are obtained from historical order data. The actual transit times are weighted based on recency data. A weighted mode is calculated for each shipping lane in a plurality of shipping lanes used to transport packages from a source to a destination location via a carrier method. The mode is calculated based on time period and actual transit times for that time period. Future predicted transit times for each shipping are generated using estimated ship dates and lane-specific modes. The predicted transit times are used to assign a more accurate and reliable delivery promise date to future orders. The promise dates are customized in real-time at a weekday level and a shipping lane level for increased on-time package deliveries.

A recording device includes a recording unit that performs recording on a medium, a paper feeding cassette that accommodates the medium and is configured to be opened / closed, a transport unit that transports the medium accommodated in the paper feeding cassette along a transport path, a transport detection unit that detects the medium at a detection position provided at the transport path, a calculation unit that calculates a transport time required for the medium supplied from the paper feeding cassette to reach the detection position based on a result of detection by the transport detection unit, a determination unit that determines presence or absence of whether the paper feeding cassette is opened / closed, and an estimation unit that estimates a service life of the transport detection unit or the transport unit based on time information about the transport time and opening / closing information about determination of whether the paper feeding cassette is opened / closed.

This invention relates to the field of port logistics technology, specifically disclosing a port logistics settlement management method, comprising the following steps: retrieving other container transport routes from a database whose transport times overlap with the current container's transport time; calculating the route overlap degree of each current container transport route in the current container transport route set with other container transport routes based on the current container transport route set and other container transport routes, generating a total route overlap degree value corresponding to each current container transport route; matching the minimum route overlap value; and finding the current container transport route corresponding to the minimum value, thus generating the corresponding optimal route for the current container transport. This solution can solve the problem of irrational container transport routes entering the port in the prior art, improve the efficiency of container transport, and reduce congestion problems.

The invention belongs to the field of logistics and storage, and particularly discloses an AGV transport time-based carrying task creation method, which uses a WCS system, a WMS system, an AGV scheduling system, an AGV and a feeding device. The feeding equipment is provided with a cache area, and the time for carrying materials for one time by the AGV is fixed; the WMS system divides the warehouse into a plurality of areas from the near to the distant according to the distance between the WMS system and the feeding equipment, namely area 1-area N, and N is a positive integer; in each area, each material has one or more goods allocation, the carrying time of the AGV from the goods allocation farthest from the feeding equipment in the area n to the feeding equipment is Tn, and the value range of n is 1-N. According to the invention, the number of required AGVs in the scene of various types of stored materials in a large warehouse can be reduced, and the investment cost is reduced.

To improve throughput of processing of a substrate by shortening a conveyance time of the substrate.SOLUTION: The robot system 6 includes the first mounting part 5R, the second mounting part 5L located beside the first mounting part, and the horizontal articulated transfer robot 2 for transferring the substrate 9 to the first mounting part and the second mounting part, the transfer robot 2 including the first hand 31 and the second hand 32 for holding the substrate, at least one of the first hand and the second hand being displaced in a direction in which the first hand and the second hand are separated from each other while the first hand is approaching the first mounting part and the second hand is approaching the second mounting part.SELECTED DRAWING: Figure 9

An information processing device generates a substrate processing schedule for sequentially performing respective processes on a predetermined number of substrates in a substrate processing device. The information processing device includes a substrate processing time acquisition part which acquires polishing time and finishing time based on recipe information; a transport processing time acquisition part which acquires transport time; and a schedule generation part which generates a substrate processing schedule by setting a processing order condition, a simultaneous processing condition, a transfer processing priority condition which specifies that a pre-polishing transfer process is prioritized over a post-polishing transfer process as constraint conditions for mathematical optimization, setting final processing end time for a final substrate being the shortest as an objective function of the mathematical optimization, and performing the mathematical optimization which determines start timings of the respective processes.