49 results about "Delivery cost" patented technology

The invention relates to a multi-store distribution vehicle management method and system, a terminal and a medium, and relates to the field of logistics distribution, and the method comprises the steps: obtaining real-time data, the real-time data comprises store data, vehicle data and traffic data, the store data comprises order demands, inventory states and distribution customer priority information of all stores, and the vehicle data comprises the order demands, the inventory states and the distribution customer priority information of all the stores; the vehicle data comprises vehicle load and volume parameters, and the traffic data comprises road traffic conditions; constructing a data model based on the real-time data; based on the data model, a dispatching algorithm is adopted to generate a distribution plan, and the distribution plan comprises vehicle distribution and distribution paths; and pushing the distribution path to the distribution vehicle. The method has the advantages that the fresh goods can be delivered on time in a fresh-keeping manner, the use efficiency of the vehicle is improved, and the delivery cost is reduced.

An improved computerized e-commerce system, optimized for smaller merchants such as florists who often provide seasonal perishable gifts that require local delivery, and who often desire to form cooperative networks with local merchants offering related gift services, as well as other related merchants such as other florists in more distant locations. The web server based system allows merchants to easily set up non-static (time variable) websites that automatically provide schedule driven promotions. New products can be quickly uploaded from smartphones, and sophisticated time and location aware algorithms can compute accurate delivery costs and make such costs transparent to customers. The system may also include backend software configured to assist in product production, inventory control, product cost optimization, and product delivery optimization, management, and tracking.

The application provides a multi-objective robust optimization method, system, storage medium and electronic equipment for production task planning of a multi-agent collaborative platform, and relates to the technical field of production task planning of a multi-agent collaborative platform. First, according to the production task planning resources of the multi-agent collaborative platform and a single-batch overseas order, a production task planning model with a manufacturing enterprise agent as the core is constructed under the premise of determining the sea transportation time. Then, an infinity norm ball uncertain set is designed for the sea transportation time of a large ship, a robust quadratic multi-objective model for cross-regional multi-agent production task planning is constructed, and the total delivery time deviation and total delivery cost multi-objective of the single-batch overseas order are optimized. The model considers the sea transportation plan prepared in advance by a shipping company agent and the long and uncertain sea transportation time. In addition, the model is converted into an equivalent model, a two-stage hybrid heuristic algorithm is designed for solving, and a reasonable and feasible production task planning suggestion is given for the single-batch overseas order.

The invention discloses a logistics distribution task allocation method and device. Comprising the steps of obtaining task information of respective distribution tasks of a plurality of logistics distribution demand points and respective distribution service information of a plurality of unmanned aerial vehicles; clustering the plurality of logistics distribution demand points based on the distribution demand information to obtain a plurality of target clusters, and determining total task information of each target cluster; the distribution service information of the multiple unmanned aerial vehicles and the total task information of the multiple target clustering clusters are analyzed through a target grey wolf optimization algorithm, and a target unmanned aerial vehicle task allocation execution strategy with the lowest logistics distribution cost is obtained; and distributing the distribution tasks corresponding to the target clusters to the corresponding target unmanned aerial vehicles according to the target unmanned aerial vehicle task distribution execution strategy, and controlling the target unmanned aerial vehicles to execute the distribution tasks of the corresponding target clusters in sequence. According to the method, the technical problems of low calculation efficiency and low solving precision when a large-scale and multi-constraint unmanned aerial vehicle distribution execution problem is solved in related technologies are solved.

The invention relates to the technical field of unmanned logistics, and discloses an unmanned aerial vehicle and vehicle collaborative distribution method, system and device and a medium. The method comprises the following steps: obtaining to-be-delivered order data, unmanned aerial vehicle transport capacity data, vehicle transport capacity data and geographic space data of a delivery area, and constructing a unified collaborative management system comprising an order pool, a transport capacity pool and a connection network; based on a unified collaborative management system, a multi-vehicle and multi-unmanned aerial vehicle collaborative distribution problem considering distribution task completion mode selection and collaborative distribution feasibility constraints is converted into a global collaborative optimization model with the lowest total distribution cost; and solving the global collaborative optimization model to obtain an initial collaborative distribution strategy, and performing real-time adjustment on the initial collaborative distribution strategy based on a real-time operation state and dynamic event feedback in a collaborative distribution process to obtain a target collaborative distribution strategy. According to the invention, through unified collaborative management, global optimization and dynamic adjustment, efficient and low-cost collaborative distribution of the unmanned aerial vehicle and the vehicle is realized.

The application discloses a device information delivery method and device, equipment and storage medium. Based on the current area, the target device type is acquired, the alternative delivery space and the delivery form list are determined according to the target device type; the target delivery space and the target delivery form are determined based on the alternative delivery space and the delivery form list, wherein the target delivery form includes the coordinate delivery form and the non-coordinate delivery form; when the target delivery form is the non-coordinate delivery form, the device information delivery is carried out according to the target delivery form. The target delivery space and form are determined through the alternative delivery space and the delivery form list, different methods are adopted for different user requirements, the user requirements without the requirements for the device style and the accurate position are solved, the delivery is more in line with the actual situation and the requirements, and the efficiency and the quality of the delivery are improved. Through the digital delivery of the device information, the artificial workload is reduced, the on-site delivery efficiency is improved, and the delivery cost is reduced.

The application provides a bill data universal conversion method and device, the method comprises the following steps: through a big model business flow processor and an intelligent agent, input text of a user is analyzed in a business scene and rule field extraction is performed, a recommended rule template is generated, and configuration fields of the recommended rule template are updated according to adjustment requirement text input by the user to generate a target bill conversion rule template; according to the target bill conversion rule template, source single data is universally mapped and converted to generate a bill data model of the target single, dynamic no-code automatic configuration is realized through the configuration bill conversion rule template, reusability is improved, automatic conversion of isomorphic data and heterogeneous data to a universal bill model in a complex scene can be realized, the delivery cycle is shortened, and the delivery cost is reduced; multiple cancellation relationships can be recorded according to a cancellation relationship table, an arbitrary cancellation mechanism is supported, bill redundancy is reduced, and the flexibility of cancellation relationship processing in bill conversion is improved.

The invention provides a transportation route optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: determining a shipping task corresponding to a cargo shipping order based on the order information of the cargo shipping order, and obtaining the original transportation route information corresponding to the shipping task; constructing a transport network of the delivery task based on pre-configured transport resource information, and determining optimized transport route information corresponding to the delivery task based on evaluation information of all transport routes traversed in the transport network; determining target transport routing information corresponding to the shipping task based on the evaluation information corresponding to the original transport routing information and the evaluation information of the optimized transport routing information; the evaluation information comprises routing cost and routing time efficiency. According to the scheme, the transportation network can be automatically constructed, the final target transportation route is determined according to the route cost and the route time efficiency of the optimized transportation route and the original transportation route, optimization of the transportation route can be achieved, the cargo delivery time efficiency is improved, and the cargo delivery cost is reduced.

Method and system of electric vehicle route planning for multi-service delivery and on-route energy replenishment is disclosed. Last mile delivery is a critical component of supply chains that impacts both customer experience and delivery cost. User request is received by a depot of a delivery environment. The user request comprising a current location of the user, one or more required services, and a time window rendered between each of the required services is processed and a graph is generated for the user request. Further, trained learning agent generates a route map indicating a plurality of waypoint locations for the electric vehicle to visit each node in accordance with minimized trip cost of fleet and time duration where each node has a state action pair for the electric vehicle. The learning agent learns continuously during the interaction with delivery environment and obtains feedback for every associated action.

The embodiment of the invention provides an advertisement putting early warning method and device, equipment and a storage medium, and the method comprises the steps: obtaining putting content information, an expected putting channel, an initial putting budget and an expected conversion amount of a to-be-put advertisement, determining at least one matched target historical delivery plan from a plurality of historical delivery plans according to the delivery content information and the expected delivery channel; according to the expected conversion amount, the historical conversion amount of the at least one target historical delivery plan and the historical delivery statistical amount, determining a predicted delivery statistical amount, and according to the historical delivery cost of the at least one target historical delivery plan, the historical delivery statistical amount and the predicted delivery statistical amount, calculating to obtain a predicted delivery cost; and judging whether the initial delivery budget and the predicted delivery cost meet set early warning conditions or not, and outputting early warning information under the condition that the early warning conditions are met. According to the scheme, early warning can be carried out on the initial delivery budget, and large budget deviation in the actual application process is avoided.

The present invention relates to a conflict-free AGV scheduling method for just-in-time material delivery within a workshop, comprising the following steps: obtaining material delivery tasks and dividing the decision cycle into multiple stages; utilizing an independent scheduling algorithm to schedule AGVs in each stage, optimizing the tasks and departure times of each AGV for each trip, and planning a conflict-free optimal path to achieve an AGV scheduling solution that minimizes time window penalties and delivery costs. The scheduling algorithm includes task allocation and path planning. In task allocation, itineraries are divided based on departure time estimates, and AGVs are assigned to each trip based on heuristic rules. In path planning, an A* algorithm is used to perform initial path planning based on the task allocation results, and conflict detection is performed based on the path time window. Conflict resolution is achieved by combining waiting and local replanning. Compared with the prior art, the present invention achieves the coordination of task allocation and path planning under just-in-time delivery requirements, and can improve computing efficiency and resource utilization.

To provide a novel technique of proposing a delivery method for optimizing delivery costs.SOLUTION: A delivery method optimization system for optimizing delivery costs is provided, the delivery method optimization system comprises a database, an acquisition unit, and a specification unit. In the delivery method optimization system, the database stores delivery cost information relating to costs required for delivering products, the acquisition unit acquires shipment information relating to shipments of shippers, and the specification unit specifies a delivery method for optimizing delivery costs on the basis of the shipment information and the delivery cost information.SELECTED DRAWING: Figure 1

The purpose of this invention is to provide a model scheduling method for resource-constrained parallel machines based on intensive strategy coordination. This method includes: acquiring order data; calculating a model scheduling scheme based on the order data using a domain-based heuristic algorithm; and optimizing the model scheduling scheme using an intelligent algorithm based on model-address intensive optimization. This invention addresses the challenge of efficiently generating scientifically effective model scheduling schemes in resource-constrained parallel machine scenarios, solving the computational complexity issue arising from the complex mapping between orders, addresses, and models; and considering the problem of solution space fragmentation caused by multiple constraints. Simultaneously, it proactively considers delivery, reducing the optimization difficulty of delivery scheduling, thereby improving production efficiency and reducing delivery costs.

The invention discloses an elevator media delivery management system based on the Internet of Things, relates to the technical field of elevator media management, and forms a core architecture of the elevator media delivery management system based on the Internet of Things through mutual cooperation of three groups of algorithm units. The advertisement effect index AEi is calculated by comprehensively considering multiple influence factors such as advertisement putting cost, return income and different durations of different advertisements, so that a manager can intuitively understand the actual performance of each advertisement in the elevator media putting system, and the advertisement effect index AEi is obtained by comparing the AEi values of different advertisements. By means of the method, which advertisements are better in performance on elevator media can be visually known, scientific and reliable data support is provided for resource distribution in a media putting management system, the advertisement putting strategy can be adjusted based on different advertisement effect indexes AEi of different advertisements, dynamic monitoring and adjustment on different advertisements put in an elevator are completed, and the advertisement putting efficiency is improved. More efficient advertisement resource allocation is carried out, and the advertisement putting effect is improved.

To provide a product sales method capable of reducing delivery costs and product prices.SOLUTION: A sales method includes: (1) reading package information regarding individual delivery items addressed to users permitted to enter facilities, the individual delivery items to be delivered to spaces set up within a plurality of facilities where security against intrusion by unspecified persons is ensured, with a reading device disposed in each of the spaces; (2) causing the reading devices to transmit the package information to a server communicably connected to the reading devices; (3) causing the server to calculate an available capacity of each of the spaces in the plurality of facilities on the basis of the package information; (4) causing the server to determine products and quantities to be delivered to the spaces of each of the plurality of facilities by using facility information regarding the facilities and user information regarding the users, and select one or more facilities to which the products are to be delivered from the plurality of facilities, as delivery destination facilities; and (5) placing the products in the spaces of the delivery destination facilities.SELECTED DRAWING: Figure 2

The invention discloses a package scheduling control method based on an optimal scheduling algorithm and a related device. The method comprises the steps that a far-end server obtains logistics package information corresponding to a to-be-distributed logistics package arriving at a managed logistics distribution point in a current distribution period; analyzing the logistics package information corresponding to the to-be-distributed logistics packages, and extracting distribution time efficiency, distribution destination and package parameters corresponding to each to-be-distributed logistics package based on an analysis result; carrying out preliminary sorting processing on the to-be-distributed logistics parcels based on distribution destinations in the logistics parcel information to form sorted to-be-distributed logistics parcels; and carrying out distribution scheduling control processing on the sorted to-be-distributed logistics packages by using the distribution time efficiency and package parameters corresponding to each to-be-distributed package. According to the embodiment of the invention, the method achieves the timely distribution scheduling control of the to-be-distributed logistics package in each distribution period, achieves the better distribution scheduling control, and reduces the distribution cost.

The present invention discloses an intelligent monitoring system and method for advertising delivery based on multi-source data fusion, which relates to the technical field of intelligent monitoring of advertising delivery. The present invention comprises: S10: generating real-time delivery characteristics of a target advertisement; S20: finding a target associated node and analyzing the optimization index of the target advertisement delivery strategy; S30: determining the strategy optimization object of the target advertisement; and S40: generating the delivery optimization strategy of the target advertisement. The present invention analyzes the real-time optimization factor of the target advertisement delivery strategy through the target associated node, thereby analyzing the user's acceptance of the target advertisement, which is conducive to quickly capturing the real-time delivery effect of the target advertisement. By generating a time management matrix for the target advertisement through key associated nodes, the priority of each effective delivery time period of the target advertisement can be intuitively obtained, which facilitates the rapid adjustment of the delivery time of the target advertisement, thereby reducing the delivery cost of the target advertisement.

The invention discloses an activity delivery budget updating method and device, equipment and a storage medium. The method comprises the steps of obtaining user active data of candidate users, screening a target user from the candidate users according to the user active data, and determining an activity putting budget based on the target user; putting activity data to the target user, and when callback information corresponding to the activity data is received, determining the putting cost of the activity data based on the callback information; and obtaining a plurality of activity subjects corresponding to the activity data, determining an apportionment proportion corresponding to each activity subject, and updating an activity delivery budget of each activity subject according to the delivery cost and the apportionment proportion. According to the scheme, by introducing a data screening and dynamic callback cost feedback mechanism based on the user activeness, refined management and real-time updating of the activity putting budget are realized.

The application provides an advertisement delivery method and device, electronic equipment and storage medium, wherein the delivery cost and the number of click events of each media in the historical round are obtained; the remaining allocation number and the delivery cost of each media are used to determine the cost to be consumed; the relationship between the remaining cost of the advertisement delivery and the cost to be consumed is used as a constraint, the total amount of the remaining allocation number of each media is used as a target, and the remaining allocation number of each media is determined; the advertisement delivery in the current round is performed according to the remaining allocation number of each media, the current round is taken as the historical round, the delivery cost and the number of click events of each media are updated, and the advertisement delivery in the next round is performed. The method, device, electronic equipment and storage medium provided by the application accumulate the real advertisement delivery data of each media by performing the advertisement delivery on each media in multiple rounds, so that the advertisement delivery effect is gradually optimized with the iteration of rounds, and the advertisement delivery on each media can be more accurately predicted.

This application relates to a logistics box and a drone delivery system, including a box body, a transmission mechanism, and a bottom door. The box body includes a bottom opening, the transmission mechanism is installed in the box body, and the bottom door is slidably disposed in the bottom opening and connected to the transmission mechanism. The bottom door can open or close the bottom opening under the action of the transmission mechanism. This improves the unloading efficiency of goods or meals inside the box, thereby improving the delivery efficiency of goods or meals, enhancing the user experience, and eliminating the need for the logistics box to be unloaded along with the goods or meals in each delivery mission, reducing the depreciation rate of the logistics box, increasing the reuse rate of the logistics box, and reducing delivery costs.

The utility model provides a device capable of sensing commodity state changes. The device comprises a device body, a sensing switch and a circuit board. An inductive switch and a circuit board are arranged on the device main body, and the inductive switch is electrically connected with the circuit board; an area, corresponding to the inductive switch, in the device body is provided with an interface used for sleeving a commodity, so that when the interface is sleeved with the commodity, the inductive switch is closed. When the interface is separated from the commodity, the inductive switch is switched off; and a signal transmission module is arranged in the circuit board. According to the application, automatic monitoring of commodity distribution and use is realized through the inductive switch and the circuit board with the built-in signal transmission module. Through the state change of the inductive switch, the circuit board can detect the installation and removal of the device, and the related information is reported to the server through the signal transmission module, so that the server confirms the delivery and use state of the commodity, and automatically generates a new delivery order, thereby improving the commodity management efficiency, reducing the delivery cost, reducing the manual intervention, and improving the user experience. And user experience is improved.

The application discloses an intelligent manufacturing scheduling method and device, electronic equipment and medium. Through the application of the technical solution, the total cost including product processing cost, overtime cost of employees, product delay delivery cost, and product inventory cost is taken as the optimization target. And combined with the deep reinforcement learning algorithm, the scheduling plan corresponding to the order information is output at the lowest cost. Thus, on the one hand, the production manufacturer can automatically give a scheduling scheme within a period of time in real time. On the other hand, the scheduling scheme is not accurate due to the problem that the employee production cost in the production process is not considered in the related art.

The invention belongs to the field of medicine logistics transportation, and particularly relates to a logistics transportation service intelligent decision-making method, which comprises the steps of S1, acquiring industry constraint information of a to-be-delivered medicine order; s2, dynamically determining a decision strategy suitable for the current order based on the industry constraint information, the decision strategy defining a quantitative trade-off relationship among cost, service quality compliance and operation risk; s3, performing multi-target comprehensive evaluation on a plurality of candidate logistics service providers according to the decision strategy, and generating a comprehensive evaluation result fusing predicted distribution cost and historical compliance risk performance of the logistics service providers; s4, according to the comprehensive evaluation result, selecting a logistics service provider to execute order delivery; and S5, based on actual delivery result data fed back after the selected logistics service provider executes the order, performing optimization iteration on the decision strategy determination logic in the step S2.

This disclosure provides a method, apparatus, electronic device, and storage medium for configuring an item warehouse. The method includes: determining the item warehouse configuration target and constraints during the item warehouse configuration process; determining the target item categories involved in the item warehouse configuration process; determining the target item delivery cost corresponding to the target item categories during the item warehouse configuration process; and determining item warehouse configuration information based on the item warehouse configuration target, the item warehouse configuration constraints, and the target item delivery cost. This application's technical solution enables item warehouse deployment optimization at the item level within a multimodal item warehouse network structure.

This invention relates to the field of intelligent manufacturing logistics technology, specifically a dynamic periodic material delivery scheduling system based on an automotive assembly line. The system includes: a data acquisition module that acquires real-time information on material consumption and warehouse inventory status at production workstations; a demand forecasting module that predicts the material demand sequence for each workstation within a future cycle, including precise demand time windows; a constraint management module that integrates constraints such as vehicle capacity, material attributes, and channel rules; and an optimization modeling module that constructs a multi-objective optimization model based on the demand sequence and constraints, aiming to minimize the total travel distance and satisfy all time windows. A scheduling generation module solves this model to generate a dynamic delivery plan including vehicle departure time, loading list, delivery route, and estimated arrival time. This invention achieves accurate dynamic forecasting of material demand and multi-objective collaborative optimization of delivery cost and timeliness.

The invention provides a cloud computing scene-oriented software product delivery method and device and electronic equipment, and relates to the technical field of computers, in particular to the technical fields of cloud computing, software delivery and the like. The specific implementation scheme comprises the steps of obtaining a product delivery list; wherein the product delivery list is used for indicating a target software product to be delivered; generating a function white list of the target software product; wherein the function white list is used for indicating to-be-delivered functions of the target software product; generating a product delivery instruction based on the product delivery list and the function white list; sending the product delivery indication to a product server; wherein the product server is used for delivering the target software product based on the product delivery instruction. By adopting the method, the delivery cost of software products can be reduced, and meanwhile, the flexibility, the automation level and the efficiency of the delivery process are improved.

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.

This invention discloses an integrated intelligent warehousing and distribution logistics management system, comprising: an intelligent warehousing module, a warehousing collaboration module, an intelligent distribution management module, a data analysis module, a decision support module, and a system management module. The intelligent warehousing collaboration module generates picking tasks based on orders and dynamically schedules AGVs to complete goods handling. The collaboration module maps the status of goods, equipment locations, and operational processes within the physical warehouse in real time. This invention has the following advantages: dynamic location allocation improves warehouse space utilization, shortens AGV task response time, predictive maintenance reduces equipment failure rates, unmanned delivery reduces last-mile delivery costs, knowledge graphs and AI algorithms automate routine problem handling, digital twins and large-screen visualization systems provide transparent management throughout the entire process, intelligent warehousing management enables rapid storage and retrieval of goods and accurate picking, and intelligent distribution management optimizes vehicle scheduling and route planning.

To provide a product sales method that can reduce product delivery costs and product prices, and a system for achieving the product sales method.SOLUTION: This sales method includes: (1) receiving, from a user terminal of a user using at least one facility, an order / payment signal for ordering products placed in a storage unit at a server connected in communication with a storage unit placed in a space set up within the at least one facility where security against intrusion by unspecified persons is ensured; (2) after receiving the order / payment signal, transmitting an authentication code for unlocking the storage unit from the server to the user terminal; and (3) reading the authentication code with a reader provided in the storage unit or a reader connected in communication with the storage unit.SELECTED DRAWING: Figure 3