CN-121685074-B - Dynamic order scheduling method and system for cross-store and allied flower delivery cooperation

Abstract

The application relates to the technical field of intelligent order scheduling, in particular to a dynamic order scheduling method and system for cross-store and allied flower delivery cooperation. The method comprises the steps of obtaining real-time order data and a store information set, analyzing matching information of order flower skill requirements and special interests of different store flower skill operators based on the real-time order data and the store information set, obtaining a skill matching information set, analyzing influence of multi-physical-field aging evolution actions of flowers under a predicted distribution path based on the skill matching information set, obtaining a path evaluation information set, analyzing path risk factors which lead to reduction of order completion quality and increase of distribution loss based on the path evaluation information set, obtaining order performance risk information, and dynamically adjusting order assignment and path planning in real time according to the order performance risk information so as to minimize skill mismatch and transportation loss, and outputting a dynamic order scheduling log. Optimizing resource allocation, and improving order completion quality and user satisfaction.

Inventors

• LUO ZHI

Assignees

• 成都花娃网络科技有限公司

Dates

Publication Date

20260512

Application Date

20260212

Claims (7)

1. 1. A method for dynamic order scheduling in coordination with affiliated flower delivery across stores, comprising: Acquiring real-time order data and a store information set, and analyzing matching information of the order flower art demands and the expertise of different store flower art operators based on the real-time order data and the store information set to obtain a skill matching information set; Based on the technology matching information set, analyzing the influence of the aging evolution effect of multiple physical fields on the flowers under the expected distribution path to obtain a path evaluation information set, wherein the method comprises the following steps: Determining the position of an initial delivery store of an order and the receiving address of the order based on the skill matching information set to obtain an expected delivery path; Based on the estimated distribution path, analyzing the vibration field intensity distribution of the traffic flow data acting on the transportation carrier in the distribution period to obtain a multi-physical field action spectrum; The traffic flow data is road surface flatness and traffic flow density and is used for quantifying the physical disturbance level of mechanical damage to flowers in the distribution process; based on the order flower art demand, analyzing tolerance thresholds of different flower products for physical vibration to obtain flower product vulnerability information; Analyzing the quality degradation influence of the action of the multiple physical fields on the flowers within the time consumption of the predicted distribution path by combining the vulnerability information of the flowers based on the action spectrum of the multiple physical fields, so as to obtain the path evaluation information set; The construction process of the multi-physical field action spectrum comprises the following steps: based on the estimated distribution path, analyzing vehicle basic vibration information caused by the combined action of the flatness difference and the traffic flow density by combining the road surface flatness and the traffic flow density, and obtaining a basic vibration spectrum of each road section; based on the basic vibration spectrum, analyzing the dynamic response of the carrier to basic vibration and the vibration transmission process according to the inherent vibration isolation attribute of the transport carrier used for distribution, so as to obtain vibration field intensity distribution; Based on the vibration field intensity distribution, analyzing sensitivity characteristics and damage threshold values of the flower materials to vibration frequencies in combination with the order flower art requirements; analyzing accumulation and change information of the damage of the flowers in the distribution process by combining the predicted distribution path based on the sensitive characteristic and the damage threshold value, and generating the multi-physical-field action spectrum for quantifying the risk of mechanical damage of the flowers in the distribution process; based on the path evaluation information set, analyzing path risk factors which lead to the reduction of order completion quality and the increase of distribution loss to obtain order performance risk information, wherein the method comprises the following steps: Based on the path evaluation information set, combining the flower vulnerability information, comparing the vibration field intensity of each road section in the transportation path with the tolerance threshold value of the current transportation flower, screening out risk road sections with the over-limit vibration intensity, and obtaining risk road section identification information; Based on the risk road section identification information, analyzing the spatial distribution characteristics of the risk road sections in the expected distribution path, and identifying the path fragile sections of the risk road sections which continuously and densely appear to obtain a path risk distribution pattern; Based on the path risk distribution pattern, analyzing the accumulated process and probability of damage of flowers when the flowers are distributed through the path fragile section, and quantitatively generating order performance risk information for predicting the order completion quality and loss degree; And dynamically adjusting order assignment and path planning in real time according to the order performance risk information so as to minimize skill mismatch and transportation loss and output a dynamic order scheduling log.
2. 2. The method of claim 1, wherein analyzing matching information of order flower art needs and expertise of different store flower artists based on the real-time order data in combination with the store information set to obtain a skill matching information set, comprising: The real-time order data comprises an order receiving address and an order craft demand; the store information set includes store location information and a store artist information set; Based on the order receiving address, combining the store position information, analyzing the geographic reachability of each store service order, and obtaining geographic matching information containing distance factors and predicted delivery time; based on the order flower art demand, combining the store flower art information set, analyzing the fit information of the flower art master and the manufacturing technique corresponding to the flower art demand required by the order, and obtaining skill matching information; and carrying out geographic-skill balance on each store by combining the skill matching information based on the geographic matching information so as to preferentially match the flower master resource with the highest skill fit in an acceptable service range and obtain the skill matching information set.
3. 3. The method of claim 2, wherein the process of constructing skill matching information comprises: Based on the flower art demand of the order, analyzing the type and style of the flower art work required by the order to obtain the technical information required by the order; Analyzing historical work data and skill authentication data of the flower artist based on the store flower artist information set to obtain the flower artist proficiency making information; Based on the technical information required by the order, combining the craftsman proficiency making information, analyzing the corresponding relation of the craftsman proficiency making information and the craftsman proficiency making information on the technical category, the technical complexity and the technical history application effect, and obtaining the making craftsman compliance aiming at each craftsman; And based on the fit degree of the manufacturing technique, sequencing and screening all candidate flower artists from high to low to obtain the skill matching information.
4. 4. The method according to claim 2, wherein said performing a geographic-skill tradeoff for each store based on said geographic matching information in combination with said skill matching information comprises: based on the geographic matching information, combining the skill matching information, and analyzing the mutual exclusion relation between the increase and decrease of the physical distance and the rise and fall of the skill fitness of the flower artist; Based on the order flower art requirement, the differentiated emphasis tendency of the current order on the distribution timeliness and the manufacturing technology is analyzed; Based on the mutual exclusion relation, combining the differentiation emphasis tendency to construct a dynamic priority fusion rule: aiming at orders of the emphasis skills, priority is given to ensuring that the skill conformity is not lower than the nearest distance store under a set threshold; aiming at orders with stress timeliness, preferentially guaranteeing the highest skill fit store within the fastest delivery range; And according to the dynamic priority fusion rule, performing synchronous traversal and logic decision on candidate stores meeting basic conditions and corresponding flower master resources to obtain a target assignment scheme carrying the optimal geographic attribute and the optimal skill attribute at the same time so as to finish the geographic-skill balance.
5. 5. The method of claim 4, wherein analyzing the tolerance threshold of different flowers to physical vibration based on the order flower demand, resulting in flower vulnerability information, comprises: Based on the flower art requirement of the order, analyzing the variety and morphological characteristics of the flowers contained in the order to obtain a flower physical structure information set; based on the flower material physical structure information set, analyzing the difference of the transported flower material in the aspects of petal thickness, stem lignification degree and flower structure compactness to obtain inherent mechanical strength information; Based on the flower physical structure information set, the inherent mechanical strength information is combined, and risk information of the transported flower products, such as wilting, breakage and falling under the action of vibration strength and duration in the transportation process, is analyzed and quantified, so that the flower product vulnerability information is obtained.
6. 6. The method of claim 5, wherein dynamically adjusting order assignments and path planning in real-time based on the order performance risk information to minimize skill mismatch and transportation loss, outputting a dynamic order dispatch log, comprises: based on the order performance risk information, analyzing the trade-off relation between skill resources required to be adjusted for realizing risk avoidance and the current set assignment scheme by combining the skill matching information set to obtain a resource adjustment space under the risk avoidance constraint; Based on the resource adjustment space, analyzing a strategy set for re-planning the distribution path for synchronously reducing the transportation loss by combining the path evaluation information set to obtain a path optimization feasible set; Based on the path optimization feasible set, collaborative optimization analysis is carried out, and a dynamic adjustment strategy capable of simultaneously meeting the dual targets of skill matching improvement and path risk reduction is generated; And based on the dynamic adjustment strategy, updating the order assignment and the path planning, and synchronously recording the logic basis of updating the dynamic adjustment strategy and the expected target achievement degree to obtain the dynamic order scheduling log.
7. 7. A dynamic order scheduling system for cross store and allied flower delivery coordination, applied to the method of any of claims 1-6, comprising: the skill matching module is used for acquiring real-time order data and a store information set, and analyzing matching information of the order flower skill demands and the expertise of different store flower skill operators based on the real-time order data and the store information set to obtain a skill matching information set; The path evaluation module is used for analyzing the influence of the aging evolution effect of multiple physical fields on the flowers under the expected distribution path based on the technology matching information set to obtain a path evaluation information set; the order performance module is used for analyzing path risk factors which cause the reduction of order completion quality and the increase of distribution loss based on the path evaluation information set to obtain order performance risk information; And the order scheduling module is used for dynamically adjusting order assignment and path planning in real time according to the order performance risk information so as to minimize skill mismatch and transportation loss and output a dynamic order scheduling log.

Description

Dynamic order scheduling method and system for cross-store and allied flower delivery cooperation Technical Field The application relates to the technical field of intelligent order scheduling, in particular to a dynamic order scheduling method and system for cross-store and allied flower delivery cooperation. Background At present, an order scheduling mode based on a fixed partition or a simple rule is generally adopted in the fresh flower retail industry, in a direct camping and allied mixed network, only an order recording and forwarding function is usually born, store resources and state data are mutually isolated to form a 'data island', a distribution link generally depends on external transport capacity to carry out rough order distribution, and the capability of carrying out collaborative optimization scheduling on real-time resources and dynamic requirements of the whole network is lacked in the prior art. The method is characterized in that the method is easy to generate busy and idle unevenness and flower material loss, comprehensive decision cannot be made according to factors such as skill of a flower artist, flower material characteristics, real-time road conditions and weather, service quality and customer experience are affected, meanwhile, the static rigidifying scheduling rule is difficult to fairly and flexibly consider the benefits of allied merchants, and the improvement of the brand whole network collaborative operation level is restricted, so that a new method capable of realizing dynamic, collaborative and intelligent scheduling is needed. Disclosure of Invention The application provides a dynamic order scheduling method and a system for cross-store and allied flower delivery cooperation, which are used for solving the problems. The method comprises the steps of obtaining real-time order data and a store information set, analyzing matching information of order flower skill demands and special expertise of different store flower skill operators based on the real-time order data and the store information set to obtain a skill matching information set, analyzing the influence of multi-physical-field aging evolution effect of flowers under a predicted distribution path based on the skill matching information set to obtain a path evaluation information set, analyzing path risk factors which lead to reduction of order completion quality and increase of distribution loss based on the path evaluation information set to obtain order performance risk information, dynamically adjusting order assignment and path planning in real time according to the order performance risk information to minimize skill mismatching and transportation loss, and outputting a dynamic order scheduling log. According to the technical scheme, the flower art demand and flower art master and master can be accurately matched, the quality of works is guaranteed, the product quality is in line with the expectations of users, the distribution path is optimized by combining multi-physical-field analysis, the flower material transportation loss is reduced, the cost is saved, the dynamic adjustment mechanism is adapted to various sudden changes, the order performance rate is improved, the resource allocation of cross-store and allied systems is optimized, the operation efficiency is improved, the data support can be provided for subsequent optimization through the dispatch log, and the core competitiveness of enterprises is enhanced. Optionally, the real-time order data is combined with the store information set to analyze matching information of the order flower skill demands and the flower skill demands of different stores to obtain a skill matching information set, wherein the real-time order data comprises an order receiving address and the order flower skill demands, the store information set comprises store position information and store flower skill information sets, geographic reachability of each store service order is analyzed based on the order receiving address and combined with the store position information to obtain geographic matching information containing distance factors and predicted delivery time, the store flower skill information set is combined with the corresponding manufacturing skill of the flower skill demands required by the orders to obtain skill matching information based on the order flower skill demands, geographic-skill balance is conducted on each store based on the geographic matching information and combined with the skill matching information to obtain the flower skill matching information set with highest skill matching skill agreeing in an acceptable service range. The skill matching information constructing process comprises the steps of analyzing the types and styles of the flowers required by an order based on the order flower requirements to obtain skill information required by the order, analyzing historical work data and skill authentication data of the flowers based on the store fl