18results about How to "Reduce delivery costs" patented technology

The invention provides a post-earthquake emergency material distribution optimization method considering distribution fairness and demand urgency, and relates to the technical field of emergency logistics multi-target distribution optimization under the background of urban earthquake disasters, and the method comprises the following specific steps: S1, determining a basic hypothesis: considering the actual scene of disaster rescue operation, and making the basic hypothesis for the emergency material distribution problem; s2, establishing an emergency material distribution fairness model; s3, establishing a disaster point emergency material demand emergency degree evaluation index system; s4, establishing a multi-target path optimization model; and S5, solving the established multi-target model by using an improved mixed multivariate universe optimization algorithm. The mixed multivariate universe algorithm based on differential evolution is provided, higher convergence precision and better robustness and uniformity are achieved, the earthquake disaster emergency logistics distribution path optimization accuracy is improved, material demand urgency meeting and distribution fairness are guaranteed, the distribution cost is reduced, and the distribution efficiency is improved. And the disaster victim satisfaction degree and the demand emergency adaptation degree are improved.

The invention relates to a beverage self-distribution composite coffee pavilion which comprises a pavilion body, an operation area and an ingredient containing area are arranged in the pavilion body, and an operation mechanical arm is arranged on the operation area; a coffee machine used for making espresso coffee, an ice machine used for making ice blocks, a cup falling machine used for storing empty cups, a art printer used for art coffee and an automatic sealing machine used for sealing are arranged on the ingredient placing area; by operating the mechanical arm, long-time work can be achieved, the production efficiency is improved, the mechanical arm can quantitatively add a formula so as to guarantee stable beverage quality, a series of safety and sanitation hidden dangers such as infectious disease virus cross infection are greatly reduced through the distribution mechanism, the beverage is safer in the transportation process, and meanwhile the distribution cost of each order is saved.

The invention discloses a fresh food intelligent distribution method and distribution system, and the method comprises the steps: obtaining a distribution region range and real-time weather data, and deploying a sensor to monitor the transportation and storage environment of fresh food; acquiring historical purchase data of a user, and predicting purchase categories in a special period by using a machine learning algorithm; according to the area range, a distribution route is optimized by adopting an intelligent algorithm; according to purchase data in a special time period, notifying a user of pre-purchase through a short message in advance, and integrating orders to distribute and deliver in advance; the fresh food is automatically recognized, classified and marked by adopting image recognition and voice recognition technologies; an automatic goods shelf, intelligent goods picking and an unmanned aerial vehicle are adopted, and fast and flexible fresh food distribution is achieved; establishing a plurality of supply sources, setting an early warning system, and monitoring each link of a fresh food supply chain; according to the fresh food intelligent distribution method and distribution system, more data sources and advanced prediction models are integrated, intelligent machine learning is adopted, and the fresh food demand prediction accuracy is improved.

The present invention discloses a method for optimizing the location path of a battery swap cabinet for electric bicycles in a takeaway delivery scenario, including S11, determining the problem objectives and constraints; S12, determining the symbolic representation of parameters and variables; S13, establishing a mathematical model; S21, determining the main problem; S22, determining the pricing sub-problem; S31, encoding and evaluating the solution; S32, initialization phase design; S33, branch and bound method phase design; S34, column generation method phase design; S35, label algorithm phase design. When optimizing the location path of a battery swap cabinet, the present invention considers the impact of multiple parking lots and battery swap cabinet capacity design on the location path strategy from the perspective of practical applications, constructs a battery swap cabinet location path optimization model with the goal of minimizing total cost, and uses an improved branch pricing algorithm to solve the optimization model.

The application provides a logistics scheduling method and system for electronic commerce trade, and relates to the technical field of computers.The method comprises the following steps: obtaining remote package logistics information, and obtaining at least one lift sharing reservation information corresponding to a remote area as a travel destination; performing preliminary screening on each lift sharing reservation information by using package attributes, package expected arrival time, package delivery address and distribution station address to determine at least one candidate lift sharing reservation information matched; determining target lift sharing reservation information from each candidate lift sharing reservation information based on a logistics scheduling matching model; updating the driving path in the target lift sharing reservation information according to the distribution station address and the package delivery address, and sending a logistics scheduling instruction to a corresponding car owner client. Thus, the package in a remote area is transported by using lift sharing collaborative scheduling, which not only greatly shortens the distribution time, but also greatly reduces the transportation cost.

This invention belongs to the field of dynamic path optimization and discloses a dynamic path optimization method for rider-drone collaborative delivery based on order bundling. It includes constructing a dynamic path optimization model with the objective function of minimizing platform costs and customer satisfaction reduction costs. Platform costs include drone dispatch costs, drone delivery costs, rider dispatch costs, rider delivery costs, and rider salaries. The total delivery optimization period is divided into several order delivery plan re-optimization cycles using time windows. At the beginning of each order delivery plan re-optimization cycle and upon the arrival of a new order, an adjustment to the order delivery plan is triggered. This invention improves the delivery system's responsiveness and overall efficiency in dynamic environments by designing a dynamic optimization mechanism that considers order bundling and a two-stage order bundling strategy. Sensitivity analysis, comparative experiments, and ablation experiments based on simulation examples of different scales are conducted to verify the effectiveness of the proposed method.

The invention provides a project delivery method, device and equipment and a storage medium, which can be applied to the technical fields of proprietary cloud, application software and the like, and comprises the following steps: a management device obtains project information of a target project to be delivered, and downloads a software source component package of the target project from a delivery storage module based on the project information of the target project; based on the N description files of the software source component package, determining a storage address of each software source material in N software source materials corresponding to the target project in a research and development storage module; on the basis of the storage addresses of the N software source materials in the research and development storage module and the project information of the target project, downloading addresses of the N software source materials are generated; and the delivery package of the target project is generated based on the downloading addresses of the software source component and the N software source materials, and the delivery package is stored in the delivery storage module, so that the delivery device downloads the delivery package from the delivery storage module, and the delivery quality of the project is improved.

The present invention relates to the technical field of drone management, and discloses a collaborative distribution system and method for drones and automatic hub stations. The system adopts a multi-level architecture, including a data acquisition layer, a data processing and analysis layer, a business logic layer, an application interface layer, and an infrastructure layer. By integrating drone status, environment, and mission data, the system realizes intelligent task management and scheduling, improves distribution efficiency, and reduces error rate. By using a machine learning model, the system can dynamically plan the optimal distribution path according to real-time environmental data, and effectively manage drone resources to ensure efficient use of resources. The design of the user interface and the system monitoring interface improves user experience and system management capabilities. The implementation of the present invention will promote the development of drone distribution technology and bring innovative solutions to the logistics industry.

The invention discloses an internet-based clothing sales system, which belongs to the technical field of clothing sales, and comprises a user experience module for allowing a user to browse, screen and purchase clothing and providing personalized recommendation and shopping experience; and the inventory management module manages the clothing inventory according to the real-time data and realizes replenishment and inventory scheduling. According to the invention, the inventory management function can predict and optimize inventory scheduling according to real-time sales data and demands, avoid excessive inventory and shortage of goods and reduce operation cost, and the multi-channel payment module supports multiple payment modes, so that the payment convenience and safety are improved, the shopping experience of users is further improved, and the user experience is improved. The logistics optimization module can optimize a distribution path, provide various distribution modes, reduce the distribution time and cost, and improve the logistics efficiency, and the whole system improves the cooperation efficiency of each link in the sales process, reduces the operation cost, and enhances the market competitiveness.

The embodiment of the application provides a commodity delivery method and device based on user demand, equipment and storage medium, through collecting travel information of a travel application; the travel information is matched with each wish list of a preset commodity database, and the wish commodity of the wish list matched by the travel information is used as a recommended commodity; and the delivery plan of the recommended commodity is determined according to the travel information. Through analyzing the data of the user shopping procedure, personalized commodity recommendation is realized, user satisfaction and conversion rate are improved; the travel information of the user is matched with the wish list, associated delivery is realized, the delivery plan is accurately distributed to the user, and convenience is increased.

The invention discloses an article distribution method and device, and relates to the technical field of warehouse logistics. A specific embodiment of the method comprises the steps of obtaining a to-be-delivered first article and a first business department to which a delivery address of the first article belongs; obtaining a first shortest delivery distance when the first business department delivers the first article according to the delivery address of the first article and the delivery address of each second article; for each second business department, obtaining a second shortest delivery distance when the first article is delivered by the second business department according to a delivery address of a to-be-delivered third article and a delivery address of the first article included in the second business department; and determining a target business department according to the first shortest delivery distance and the second shortest delivery distance corresponding to each second business department. According to the embodiment, the shortest delivery distance of each business department is calculated according to the position relation between the delivery addresses of the articles, the determination mode of the target business department can be optimized, the delivery cost of the articles is reduced, and the delivery efficiency is improved.

This invention relates to the fields of 3D factory design and industrial digitalization, proposing a method and system for digital delivery of 3D factory designs based on AI and digital twins. The method includes: constructing a multi-terminal collaborative decentralized digital delivery platform, reconstructing the traditional linear delivery process into a decentralized circular process; achieving parallel, independent operation and continuous data flow across all stages of the process through a distributed functional node architecture and a decentralized communication bus; and realizing closed-loop digital delivery from the design source to the operation and maintenance terminal by relying on full lifecycle data connectivity, AI intelligent empowerment, and native digital twin delivery. This invention can improve delivery efficiency and quality, reduce delivery costs, and achieve a leap from static delivery to dynamic, operable digital asset delivery. It is applicable to various industrial 3D factory design projects in chemical, power, and pharmaceutical industries, and has high practicality and promotional value.

The present invention relates to a pharmaceutical logistics vehicle path optimization method based on an improved initial solution algorithm, and belongs to the field of vehicle path technology. The method is: using a map API to collect the longitude and latitude information of a pharmaceutical company's route including warehouses and all customer points, and then calculating the distance matrix between each customer point on each route; constructing a pharmaceutical logistics vehicle path optimization model, the optimization goal is to minimize the total distance, the total distance is the total distance of the vehicle starting from the warehouse, traversing all customer points, and finally returning to the warehouse; the vehicle has a capacity limit, no maximum distance limit, and sets constraints on the objective function of the pharmaceutical logistics vehicle path optimization model; designing a heuristic algorithm for improving the initial solution; using the heuristic algorithm for improving the initial solution to solve the objective function of the pharmaceutical logistics vehicle path optimization model. The present invention effectively obtains a good pharmaceutical logistics vehicle driving route and reduces overall costs.

The application provides a prefabricated component distribution scheduling optimization method based on a time window and multiple vehicle types, and relates to the technical field of distribution scheduling. Parameter information of multiple transport vehicles and distribution time windows of construction sites are obtained and utilized. An optimization function with the dual objectives of minimizing distribution cost and maximizing vehicle average loading rate is constructed. By simultaneously optimizing the two objectives, a balanced deployment scheme between economy and resource utilization efficiency can be obtained, avoiding the one-sidedness that may be caused by single-objective optimization. A multi-objective ant colony-genetic hybrid optimization algorithm is used for solving, generating multiple deployment schemes with different trade-offs for users to select. Through comprehensive consideration of multiple vehicle types, time windows, dual-objective optimization and hybrid intelligent algorithms, an efficient and flexible prefabricated component distribution scheduling optimization solution is provided, effectively improving resource utilization efficiency in the multiple vehicle type mixed distribution scene and improving the practicality of the distribution scheme.

The invention relates to the technical field of big data processing, and discloses a crowdsourcing-based data acquisition and processing method and system, and provides a crowdsourcing-based data acquisition and processing method, which is used for distributing user orders to proper transportation units, and comprises the following steps of: firstly, sorting according to the time and distance of the user orders; and then screening is performed according to the working state of the transportation unit. If no idle transport unit exists nearby, the time for each transport unit to complete the order is predicted according to the historical order information and the current route condition, the route is optimized, and finally the transport unit with the optimal route is selected to complete the order. In the whole process, through the steps of data collection, full arrangement, time judgment, insertion processing and the like, efficient order distribution is realized, and the crowdsourcing logistics distribution efficiency and the user experience are improved.

The application provides a multimedia information processing method and device, electronic equipment and storage medium, the method comprises the following steps: obtaining corresponding playing configuration information in a multimedia information playing environment; based on the playing configuration information, configuring a corresponding test interface for a playing strategy adjustment process of the multimedia information, and configuring a matching topology file for the playing strategy adjustment process of the multimedia information, so as to obtain dynamically adjusted playing configuration information through the topology file; and dynamically adjusting the playing strategy of the multimedia information through the playing strategy adjustment process according to the playing effect parameter and the playing configuration information of the multimedia information. The application can reduce the repeated exposure of the already exposed multimedia information to the user in a short time, reduce the delivery cost of the multimedia information, improve the effectiveness of the freshness strategy, improve the user experience, diversify the playing form of the multimedia information, and meet the use requirements of different users.

The execution plan generation method comprises the following steps: acquiring office point information of a target office point; obtaining a change process of the target office point according to the office point information and the change process template; and obtaining an execution plan of the target office point according to the change process and the version baseline data. According to the method, the change process template designed by a technical expert according to the version baseline data and the working experience of the technical expert can be utilized, and then the change process template is rendered according to the received office point information, so that the change process of the specific office point is generated. According to the method, the technical threshold of the design of the delivery process of the complex software system is reduced, the shortage of expert resources is relieved, and the delivery cost is reduced. According to the method, a plurality of change steps in the change process of each office point can be automatically scheduled by utilizing version baseline data, and a change plan comprehensively considering factors such as compatibility among subsystems, dependency among steps, operation time of each step, delivery tool performance standards and technical limitation of each subsystem is created.

The application relates to an e-commerce order and same-city order dynamic joint distribution path optimization method and platform. The optimization method comprises the following steps: when a distribution request of a newly added same-city order distribution is received, acquiring first joint distribution information currently executed; from the first joint distribution information, acquiring all first distribution paths currently, and using RIM of an ALNS-RIM hybrid optimization algorithm to detect the first distribution path capable of inserting the newly added same-city order to obtain a candidate distribution path, and detecting a candidate path segment corresponding to the insertion of the newly added same-city order in the candidate distribution path; based on the ALNS-RIM hybrid optimization algorithm and the corresponding candidate path segment, performing insertion path planning, generating a target path segment, and updating all first distribution paths according to the target path segment to generate a path optimization result comprising second joint distribution information. Through the application, the problem that the scheme for jointly distributing e-commerce orders and same-city orders in related technologies is not timely and has low distribution efficiency is solved.