CN117196448B - Logistics information joint processing method and system - Google Patents
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Abstract
The invention relates to the technical field of logistics management, in particular to a logistics information combined processing method and system, which are beneficial to reducing the possibility of damage of goods due to temperature problems to the greatest extent, so that the loss is reduced; the method comprises the following steps: acquiring cargo transportation information of a cancelled order; extracting transfer nodes from the cargo transportation information of the cancelled order to obtain a cargo interception transfer node; the cargo interception transfer node is a transfer node where the cargo is located in real time, and if the cargo is in the middle of transportation, the next transfer node of the transportation route is used as the cargo interception transfer node; extracting time nodes of the cargo transportation information of the cancelled order to obtain the remaining refrigeration and heat preservation time of the cargo; the residual cold-storage heat-preservation time of the goods is the effective cold-storage heat-preservation time of the goods minus the time from the start of packaging to the transfer node of the intercepted goods; and screening a plurality of storage nodes according to the residual refrigerating and heat-preserving time of the goods.
Description
Technical Field
The invention relates to the technical field of logistics management, in particular to a logistics information joint processing method and system.
Background
With the development of the logistics industry, more and more fresh foods can be transported in a refrigeration form of independent packages, and the independently packaged refrigeration fresh products are generally easier to purchase and store, so that consumers can enjoy high-quality fresh foods more easily.
When the existing logistics information combined processing method processes a refrigerated goods returning order, the refrigerated goods are usually returned to an original delivery warehouse, and the refrigeration effect of independent packaging has certain timeliness, namely the refrigeration time is limited; when refrigerated goods are cancelled in the transportation process, if the recovered goods cannot be handled in time, the goods are easily damaged due to the fact that proper temperature cannot be maintained, and loss is caused.
Disclosure of Invention
In order to solve the technical problems, the invention provides a logistics information combined processing method which is beneficial to minimizing the possibility of damage of goods due to temperature problems, thereby reducing loss.
In a first aspect, the present invention provides a method for jointly processing logistics information, where the method includes:
acquiring cargo transportation information of a cancelled order;
extracting transfer nodes from the cargo transportation information of the cancelled order to obtain a cargo interception transfer node;
Extracting time nodes of the cargo transportation information of the cancelled order to obtain the remaining refrigeration and heat preservation time of the cargo;
screening a plurality of storage nodes according to the residual cold storage and heat preservation time of the goods, and summarizing all storage nodes capable of receiving the goods within the residual cold storage and heat preservation time of the goods to obtain a first-order bin Chu Jiedian set;
determining the stock shortage index of the goods in each storage node in the first-order storage node set, screening storage nodes with stock shortage indexes larger than a preset threshold value, and obtaining a second-order storage node set;
and extracting the transportation routes between each storage node and the transit node for intercepting the cargoes in the second-order storage node set, and taking the storage node with the shortest transportation route as the optimal distribution storage node of the cargoes.
Further, the method for screening the storage nodes with the ischemia index larger than the preset threshold comprises the following steps:
calculating the backorder index of each storage node in the first-order storage node set; the formula for calculating the backorder index is as follows:
wherein S is a backorder index; d is the cargo demand of the storage node; i is the current actual stock quantity of the storage nodes; c is the quantity of goods which can be accommodated by the storage node;
Setting a threshold value for comparison with the backorder index according to the business requirement;
comparing each calculated backorder index according to a set threshold value, and screening storage nodes with backorder indexes larger than the threshold value;
summarizing the screened storage nodes to form a second-order storage node set.
Further, the threshold is set according to the following: business priority, supply chain timeliness, inventory costs, historical data, and service level objectives.
Further, a method for obtaining a transit node for intercepting cargoes comprises the following steps:
acquiring the current position, the transportation speed and the transportation route of the goods through a logistics tracking system;
and extracting a cargo interception transfer node, wherein the cargo interception transfer node is a transfer node where the cargo is located in real time, and if the cargo is in the transportation process, taking the next transfer node of the transportation route as the cargo interception transfer node.
Further, the method for obtaining the residual refrigeration and heat preservation time of the goods comprises the following steps:
acquiring cargo transportation information of a cancelled order, wherein the cargo transportation information comprises a starting place, a destination, a transit node in the transportation process and a starting time of the cargo;
calculating the residual cold storage and heat preservation time of the goods, wherein the residual cold storage and heat preservation time of the goods is the effective cold storage and heat preservation time of the goods minus the time from the start of packaging to the transfer node for intercepting the goods;
The remaining refrigeration incubation time of the cargo is periodically monitored and updated.
Further, a method for obtaining a first-order storage node set comprises the following steps of
Obtaining the distances between all storage nodes and the transfer node in the intercepted goods;
calculating the transportation time from the cargo interception transfer node to each storage node;
comparing the calculated transportation time with the residual cold storage and heat preservation time of the goods, and screening out storage nodes with the transportation time smaller than the residual cold storage and heat preservation time of the goods;
summarizing the screened storage nodes to form a first-order storage node set.
Further, a method of determining a best allocated warehousing node includes:
obtaining logistics information of each storage node in the second-order storage node set, wherein the logistics information comprises storage node positions, refrigerating capacity, transportation capacity and transportation routes;
for each storage node in the second-order storage node set, calculating the length of a transport route from the cargo interception transfer node to the storage node;
comparing the route lengths of all the storage nodes in the second-order storage node set to find the storage node with the shortest transportation route;
ensuring that the storage nodes of the shortest transportation route have refrigerating capacity meeting the demand of the goods so as to maintain the temperature required by the goods;
And identifying the storage node which has the shortest transportation route and meets the refrigeration requirement as the best distribution storage node of the goods.
In another aspect, the present application further provides a system for jointly processing logistics information, where the system includes:
the information acquisition module is used for acquiring the cargo transportation information of the cancelled order and sending the cargo transportation information; the goods transportation information includes the kind, the quantity, the delivery place, the destination, the transportation route and the transportation time of the goods;
the transfer node extraction module is used for receiving the cargo transportation information, extracting transfer nodes from the cargo transportation information, obtaining transfer nodes for intercepting cargoes and sending the transfer nodes; if the goods are in the process of transportation, the next transit node of the transportation route is used as a transit node for intercepting the goods;
the time node extraction module is used for receiving the goods transportation information, extracting the time nodes of the goods transportation information, obtaining the residual refrigeration and heat preservation time of the goods and sending the residual refrigeration and heat preservation time; the residual refrigeration and heat preservation time of the goods is the effective refrigeration and heat preservation time of the goods minus the time from the start of packaging to the transfer node of the intercepted goods;
the storage node screening module is used for receiving the residual cold storage and heat preservation time of the goods, screening a plurality of storage nodes, summarizing all storage nodes capable of receiving the goods in the residual cold storage and heat preservation time of the goods, obtaining a first-order bin Chu Jiedian set, and sending the first-order bin Chu Jiedian set;
The backorder index calculation module is used for receiving the first-order bin Chu Jiedian set, determining backorder indexes of cargoes in storage nodes in the first-order storage node set, screening storage nodes with backorder indexes larger than a preset threshold value, obtaining a second-order storage node set and sending the second-order storage node set;
the storage node distribution module is used for receiving the second-order storage node set, extracting the transportation route between each storage node in the second-order storage node set and the transit node for intercepting the cargoes, and taking the storage node with the shortest transportation route as the optimal distribution storage node of the cargoes.
In a third aspect, the present application provides an electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on the memory and executable on the processor, the transceiver, the memory and the processor being connected by the bus, the computer program implementing the steps of any of the methods described above when executed by the processor.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the first-order storage node set and the second-order storage node set are determined, and the backorder index is considered, so that the distribution of the goods can be optimized, and the goods can be ensured to find a proper storage place as quickly as possible; the transportation efficiency is improved and the requirements of customers are met; the method uses real-time transportation information and the residual refrigeration and heat preservation time of goods to dynamically determine the optimal distribution storage node; can adapt to different transportation conditions and changes, and provide a more flexible solution; according to the invention, based on the residual refrigerating and heat preserving time of the goods, the goods are distributed to storage nodes capable of maintaining proper temperature in the residual time; helps to minimize the possibility of damage to the cargo due to temperature problems, thereby reducing losses.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a flow chart of obtaining a first-order collection of storage nodes;
FIG. 3 is a flow chart of obtaining a second order warehouse node set;
fig. 4 is a block diagram of a system for the joint processing of logistics information.
Detailed Description
In the description of the present application, those skilled in the art will appreciate that the present application may be embodied as methods, apparatuses, electronic devices, and computer-readable storage media. Accordingly, the present application may be embodied in the following forms: complete hardware, complete software (including firmware, resident software, micro-code, etc.), a combination of hardware and software. Furthermore, in some embodiments, the present application may also be embodied in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.
Any combination of one or more computer-readable storage media may be employed by the computer-readable storage media described above. The computer-readable storage medium includes: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of the computer readable storage medium include the following: portable computer magnetic disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disk read-only memories, optical storage devices, magnetic storage devices, or any combination thereof. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, device.
The technical scheme of the application is that the acquisition, storage, use, processing and the like of the data meet the relevant regulations of national laws.
The present application describes methods, apparatus, and electronic devices provided by the flowchart and/or block diagram.
It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions. These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer readable program instructions may also be stored in a computer readable storage medium that can cause a computer or other programmable data processing apparatus to function in a particular manner. Thus, instructions stored in a computer-readable storage medium produce an instruction means which implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The present application is described below with reference to the drawings in the present application.
Example 1
As shown in fig. 1 to 3, the method for jointly processing logistics information of the present invention specifically includes the following steps:
s1, acquiring cargo transportation information of a cancelled order;
s1, acquiring cargo transportation information of a cancelled order; in the field of logistics management, the implementation of this step involves techniques and methods in terms of data collection, information extraction and processing; the following is a detailed description of step S1:
S11, data source: firstly, a reliable data source needs to be established to acquire the cargo transportation information of the cancelled order; these data sources include databases of logistics companies, order processing systems, transportation tracking systems, electronic shipping slips, sensor data, and the like; these data sources can provide information about orders, goods, transportation routes, and timeliness;
s12, data extraction: extracting information related to the cancelled order from a data source, including order numbers, cargo descriptions, shipping and receiving locations, transportation routes, transportation transfer node information, refrigeration incubation time, and the like; technical methods such as data query, API (application program interface) or data cleaning are involved to ensure the accuracy and the integrity of data;
s13, data processing: processing and converting data extracted from the data source for subsequent analysis and decision making; the method comprises data format conversion, timestamp processing, residual refrigeration and heat preservation time calculation and the like; in this step, it may be implemented using data processing tools and programming languages (e.g., python); the step allows the data to be processed and converted to meet the requirements of subsequent analysis and decision making, and the data is subjected to customized processing according to specific conditions so as to extract useful information and indexes;
S14, data storage: storing the processed data in a suitable data storage system so that subsequent steps can access and use the data; common data stores include databases (e.g., SQL or NoSQL databases) or data warehouses; ensuring that the data is easy to access and use. This facilitates subsequent analysis, reporting and visualization operations;
s15, data security: in processing such sensitive data, appropriate data security measures, such as data encryption, access control, and privacy protection, are ensured to ensure confidentiality and integrity of the data; particularly, when sensitive data is processed, proper data encryption, access control and privacy protection measures are taken to ensure confidentiality and integrity of the data and prevent data leakage and abuse;
s16, automation: to improve efficiency, automated data collection and processing procedures may be considered, such as periodic grabbing of data sources, automatic identification of cancellation orders, and automatic processing of step S1; by periodically grabbing the data source and automatically identifying the cancelled order, manual intervention can be reduced, the data processing speed can be increased, and the risk of errors can be reduced.
In summary, the step S1 can improve the reliability, integrity and security of data, and meanwhile, the efficiency is improved through data processing and automation, so that decisions and operations in logistics management are more accurate and reliable. These advantages help optimize logistics flow, reduce costs, improve customer satisfaction, and enhance competitiveness.
S2, extracting transfer nodes from the cargo transportation information of the cancelled order, and obtaining transfer nodes for intercepting the cargo; the cargo interception transfer node is a transfer node where the cargo is located in real time, and if the cargo is in the process of transportation, the next transfer node of the transportation route is used as the cargo interception transfer node;
s2, determining a transit node where the goods are located in time after the goods cancel the order so as to carry out subsequent processing; determining the real-time location of the goods is critical, especially for refrigerated fresh products, which require strict temperature control; the following is a detailed description of the step S2:
s21, acquiring real-time transportation information of goods: firstly, acquiring transportation information of cargoes of which orders are cancelled; the method is realized by the technologies of a logistics tracking system, a GPS, a sensor and the like; these techniques can provide information on the current location, speed of transportation, route of transportation, etc. of the cargo;
s22, extracting a transfer node for intercepting cargoes: once the real-time transportation information of the goods is obtained, extracting and intercepting the goods transit node by using a logistics information processing system; the transit node is the node where the goods are currently located, or if the goods are in transit, the intercepted goods transit node is the next planned transit node on the transportation route;
S23, real-time data analysis: when extracting the transfer node of the intercepted cargo, a real-time data analysis technology can be used for processing a large amount of real-time data; including using data mining algorithms, machine learning models, etc., to determine the exact location of the good;
s24, communication and data transmission: for timely extracting the transfer node of the intercepted goods, smooth communication and data transmission are required to be ensured; this can be done to exchange data with sensors on logistics companies, carriers and trucks to ensure accuracy and real time.
In the above process, the related logistics management technology specifically includes the following:
s2a, internet of things (IoT) technology: the sensor and the internet of things equipment are used for monitoring parameters such as the position, the temperature and the humidity of the goods in real time so as to more accurately determine the actual state and the position of the goods;
s2b, real-time data analysis and big data processing: by utilizing big data analysis and real-time data processing technology, a large amount of real-time data can be processed, so that the position and state of goods can be more accurately determined;
s2c, geographic Information System (GIS): the GIS technology is used for tracking and visualizing the position of the goods so that logistics management personnel can better understand the transportation condition of the goods;
S2d, block chain technology: the blockchain can provide a safe and non-tamperable transaction record, which is helpful for ensuring the credibility and the safety of cargo information;
s2e, real-time communication: in order to ensure timely data transmission, a high-speed communication network and a communication protocol can be used, so that information can be rapidly transmitted among links;
in summary, the step S2 needs to combine the technology and system in the field of logistics management, and uses methods such as real-time data analysis and internet of things to extract the real-time position information of the goods, so that the subsequent steps can take measures in time in the transportation of the goods, so as to reduce the loss to the greatest extent; the logistics information combined processing method ng can effectively cope with the return order processing of the refrigerated fresh goods.
S3, extracting time nodes of the goods transportation information of the cancelled order to obtain the residual refrigeration and heat preservation time of the goods; the residual refrigeration and heat preservation time of the goods is the effective refrigeration and heat preservation time of the goods minus the time from the start of packaging to the transfer node of the intercepted goods;
s3, how to calculate the residual refrigerating and heat-preserving time of the goods with the cancelled orders; the accuracy and precision of this step is critical to ensure the quality of the fresh and avoid losses; the method specifically comprises the following steps:
S31, acquiring cargo transportation information of the cancelled order: the method comprises the steps that the cargo transportation information of a cancelled order is acquired in the step S1; such information includes the origin, destination, transit node in transit, origin time, etc. of the cargo;
s32, calculating the residual refrigeration and heat preservation time of the goods: in order to calculate the remaining cold storage hold time of the cargo, the following data are needed:
the effective time of cold storage and heat preservation of goods is as follows: this means that the goods can remain fresh for the longest time at the appropriate temperature; this is typically determined by the type and packaging of the fresh product, which information is typically found in product labels or vendor provided information;
the time taken for the goods to be transported from the start of packing to the interception of the goods transit node: this refers to the time that it takes for the shipment from the departure provider or distributor to the transit node where the order interception was canceled; this can be achieved by means of a transportation record and real-time monitoring system;
the remaining cold storage hold time for the cargo was calculated using the following formula:
remaining cold-storage holding time = effective time for cold-storage holding of goods-time taken for goods to be transported from package start to intercept goods transit node
This calculation can help determine how long the cargo can remain refrigerated when it reaches the intercept cargo transit node; this is a critical parameter, since it determines the time window for selecting the appropriate storage node in the subsequent step;
S33, data monitoring and updating: to ensure accuracy, the system should periodically monitor and update the remaining refrigeration incubation time of the cargo; this can be accomplished by continuously updating the location information of the good and calculating the remaining time; if the cargo encounters delays or other problems en route, the system needs to update the remaining time in time to reflect the actual situation.
In the step, by calculating the residual refrigeration and heat preservation time of the goods, the sufficient refrigeration effect can be ensured to be maintained when the goods reach the transfer node; this helps to maintain the quality of the fresh goods and reduces the decay and loss of the goods; the data monitoring and updating mentioned in the step S3 ensures the real-time property and accuracy of the information; if the goods are in a problem in the transportation process, the system can update the residual time in time to reflect the actual situation and help to take proper measures; the risk of encountering adverse conditions (such as delay or temperature fluctuation) of the goods in the transportation process can be reduced by accurately calculating the residual refrigeration and heat preservation time; this helps to ensure that the goods can arrive at the destination as planned, reducing unnecessary problems and disputes; in summary, the accuracy and precision of the S3 step is critical to ensure quality of fresh goods and avoid losses, it provides critical information and decision support, helping to optimize logistics and supply chain management.
S4, screening a plurality of storage nodes according to the residual cold storage and heat preservation time of the goods, and summarizing all storage nodes capable of receiving the goods within the residual cold storage and heat preservation time of the goods to obtain a first-order bin Chu Jiedian set;
the goal of the step S4 is to determine storage nodes, namely a first-order bin Chu Jiedian set, capable of receiving the goods within the remaining refrigeration and heat preservation time of the goods; the principle of screening the first-order storage nodes is that the time for transporting the cargoes from the cargo interception transfer node to the storage nodes is less than the residual refrigeration and heat preservation time of the cargoes; this principle ensures that the goods can reach the appropriate storage nodes within the cold chain incubation time; the specific operation is as follows:
s41, acquiring storage node information: obtaining position information and transportation time information of all storage nodes, wherein the position information and the transportation time information comprise the distance from a cargo interception transfer node and the time required for transporting the cargo to the node;
s42, calculating transportation time: calculating, for each storage node, a transit time from the intercepted cargo transit node to the node; the transportation time needs to consider the actual situation of the logistics network, including traffic conditions, routes and the like;
s43, comparing the transportation time: comparing the calculated transportation time with the residual refrigeration and heat preservation time of the goods; only the storage nodes with the transportation time less than the residual refrigeration and heat preservation time of the goods can enter the first-order bin Chu Jiedian set;
S44, summarizing to form a first-order bin Chu Jiedian set: adding storage nodes meeting the conditions into a first-order bin Chu Jiedian set; the nodes are candidate nodes capable of receiving goods and maintaining a cold chain during the remaining refrigeration and insulation time of the goods; summarizing all storage nodes meeting the conditions to obtain a first-order bin Chu Jiedian set; these storage nodes are possible destinations that can ensure that the goods are received during the remaining cool-storage incubation time.
In the step, the goods can reach the storage nodes within the residual refrigerating and heat preserving time, and the quality and the safety of the goods can be maximized in the step S4; this is particularly important for temperature sensitive goods (e.g., food, pharmaceutical, etc.) in cold chain logistics, which can prevent the goods from being damaged or spoiled during transportation; s4, considering the actual situation of the logistics network, including traffic conditions and routes, so as to calculate the transportation time of each storage node; this helps to optimize the routing of the cargo, thereby improving the efficiency of cold chain transportation, reducing transportation time and cost;
s4, comparing the transportation time with the residual refrigeration and heat preservation time of the goods, and only selecting storage nodes capable of meeting the time requirement to enter a first-order bin Chu Jiedian set; this ensures that the selected storage node is conditioned to receive the goods, reducing unnecessary transportation delays and risks; the storage nodes in the first-order storage node set are considered as possible destinations, which helps to optimize the delivery plan of the goods; by selecting the most suitable destination from the nodes, the client requirements can be better met, and the client satisfaction is improved; the principle of step S4 ensures continuity and compliance of the cold chain, which is critical for goods that need to be transported under specific temperature conditions; this helps meet regulatory requirements and industry standards, reducing potential legal liabilities and risks.
S5, determining the shortage index of the goods in each storage node in the first-order storage node set, and screening storage nodes with the shortage index larger than a preset threshold value to obtain a second-order storage node set;
s5, determining the stock shortage index of the goods in each storage node in the first-order storage node set, and screening storage nodes with stock shortage indexes larger than a preset threshold value, so as to obtain a second-order storage node set; this step involves evaluation of the demand and supply conditions of the warehouse nodes to ensure that the goods can be properly handled and distributed;
wherein, the backorder index is an index for measuring the balance of the demand supply of a specific storage node or goods; it takes into account various factors including the demand of the goods, the current stock level, the storage capacity, the arrival and delivery speed of the goods, etc.; the higher the backorder index, the more the demand at a warehouse node exceeds the supply, and additional cargo distribution or other handling measures may be required; the step S5 specifically comprises the following steps:
s51, calculating a backorder index: for each first-order storage node, the backorder index thereof needs to be calculated; this may be accomplished by one of the following, or in combination with a number of factors: including cargo demand, inventory level, and warehousing capability;
S52, setting a threshold value: the preset threshold is an important decision factor; it represents a threshold value for the backorder index, and when the backorder index of a warehouse node exceeds this threshold value, it is considered that additional supply of goods or other handling measures are required; the threshold is adjusted according to specific conditions so as to meet business requirements;
s53, screening storage nodes: once the stock shortage index of each first-order storage node is calculated, the storage nodes with the stock shortage index larger than the threshold value can be screened out according to the preset threshold value; these nodes are believed to require additional supply of goods or other handling measures to meet the order requirements;
s54, forming a second-order storage node set: the screened storage nodes form a second-order storage node set; these nodes are considered the most likely destinations for handling the goods because their demand exceeds supply and additional goods distribution is required.
S5, selecting a storage node most suitable for distributing goods according to the condition of the shortage and the demand, so as to meet the demand of customers to the greatest extent and reduce the retention and loss of the goods; this step plays an important role in improving logistics efficiency and reducing costs, especially for refrigerated fresh goods, ensuring timely handling and distribution is critical to avoid damage and quality degradation.
More specifically, calculating the backorder index in step S51 generally involves taking into account a number of factors including cargo demand, inventory level, warehousing capacity; the formula for specifically calculating the backorder index is as follows:
wherein S is a backorder index; d is the cargo demand of the storage node, and the cargo demand of the storage node is estimated through the ordered cargo quantity, the expected sales quantity or the historical data of the customer order; i is the current cargo inventory level of the storage node, and the specific value of I is the actual inventory quantity; c is the quantity of goods which can be accommodated by the storage node; wherein the result of the calculation of the backorder index may be a positive number or a negative number, and the specific meaning is as follows:
positive number: indicating that the demand exceeds inventory, the storage node requires additional supply of goods or other handling measures, which is an out-of-stock condition;
negative number: indicating that the inventory exceeds demand, the storage nodes have excess cargo, which may require reallocation or inventory reduction to increase efficiency;
setting a preset threshold according to the calculated backorder index to determine whether further action is required, and if the backorder index exceeds the threshold, indicating that additional goods supply or other treatment measures are required; it should be noted that the backorder index may also take into account other factors such as the priority of the goods, the life cycle of the goods, the age of the goods, etc.; thus, the specific backorder index calculation method may vary from business to business; in practical application, the calculation method can be adjusted and expanded according to specific requirements and data availability so as to better meet service requirements.
Further, the setting of the threshold is determined according to specific service requirements and strategies; the threshold is typically used to determine when the backorder index triggers an alarm or takes replenishment measures; when setting the threshold, the following factors need to be considered:
s52a, service priority: different types of cargo may have different importance; some goods may be more critical to the business and therefore may be set with a lower threshold to trigger an alarm earlier; while for less critical goods, the threshold may be set higher to reduce frequent alarms;
s52b, supply chain timeliness: some goods may have longer supply chain timeliness, while other goods may need to respond to demand more quickly; according to the supply chain characteristics of the goods, the threshold value can be adjusted so as to ensure timely replenishment;
s52c, inventory cost: maintaining a high level of inventory may increase costs, including warehouse costs and capital costs; thus, the setting of the threshold may also take into account cost factors to balance demand and cost;
s52d, history data: analyzing past demand and inventory data may provide insight as to when a backorder occurs; these data can be used to determine appropriate thresholds and help predict future demands;
S52e, service level objective: different thresholds can be set according to the service level targets of the business; for example, if the goal is to achieve a high level of customer satisfaction, a lower threshold may be required to ensure that the demand is met in time;
the threshold may be set based on one or more of the above factors; one common approach is to use statistical methods, such as determining a threshold based on historical demand and standard deviation; for example, the threshold may be set to average demand plus a standard deviation to account for fluctuations in demand; finally, the threshold settings should be carefully analyzed and tested to ensure that they meet the actual needs of the business and can effectively trigger alarms or take replenishment measures when needed; furthermore, the thresholds typically need to be periodically reviewed and updated to accommodate changes in the business environment.
S6, extracting transport routes between each storage node in the second-order storage node set and the transit node for intercepting the cargoes, and taking the storage node with the shortest transport route as the best distribution storage node of the cargoes;
step S6 is an important step related to selecting an optimal allocation storage node, wherein the purpose of selecting a storage node with the shortest transportation route as the optimal allocation storage node for the goods is to save transportation cost and recover the goods as soon as possible so as to maintain the quality of the refrigerated fresh products, and the selection of the optimal storage node specifically involves considering the following key factors:
S6a, path shortest principle: selecting a storage node closest to the cargo interception transfer node to minimize the cargo transportation distance; this can reduce transportation costs and reduce the time for the cargo to be at non-ideal temperatures;
s6b, transportation time: apart from distance, transport time is also a critical factor; selecting the storage node with the shortest transport route means that the goods can reach the destination faster, reducing the exposure time at unsuitable temperatures;
s6c, refrigerating capacity of the storage node: ensuring that the selected storage nodes have sufficient refrigeration capacity to maintain the required temperature of the goods; this is critical for refrigerating fresh produce to avoid damage to the goods;
s6d, route feasibility: evaluating feasibility of the selected route, including factors such as road conditions, traffic jams, weather conditions, and the like; this helps to ensure that the cargo is not unnecessarily delayed during transport;
s6e, transportation cost: comprehensively considering transportation costs including fuel, labor and vehicle maintenance costs; choosing the shortest route can generally reduce these costs.
Specifically, the implementation step of step S6 includes:
s61, acquiring storage node information: firstly, acquiring detailed information of all storage nodes in the second-order storage node set screened in the step S5, including positions, refrigerating capacity, transportation capacity and transportation routes of the storage nodes;
S62, calculating the length of a transportation route: for each storage node in the second-order storage node set, calculating the length of a transportation route from the interception cargo transfer node to the storage node by using logistics management software or tools; copper tubing uses Geographic Information System (GIS) data to estimate distance;
s63, comparing the route length: comparing the route lengths of all the storage nodes in the second-order storage node set to find the storage node with the shortest transportation route;
s64, verifying the refrigerating capacity: ensuring that the selected optimal distribution storage node has sufficient refrigeration capacity to maintain the desired temperature of the cargo; this is important to ensure the quality and safety of the goods;
s65, optimal allocation: identifying the storage node which has the shortest transportation route and meets the refrigeration requirement as the optimal distribution storage node of the goods; the cargo should be redirected to this node for quick recovery and keeping refrigerated;
s66, updating information: the information of the selected best allocated warehouse node is updated into the logistics system so that the transportation and inventory management team can take necessary actions.
In this step, the shortest transport route means that the goods can reach the destination faster, reducing the exposure of the goods to unsuitable temperature conditions during transport; this is important for refrigerating fresh goods and the like, and helps to maintain the quality and freshness thereof; by selecting the shortest transport route, the transport distance of the cargo is minimized, thereby reducing the transport cost; this includes reducing fuel consumption, labor costs, and vehicle maintenance costs, contributing to improved logistics economics;
By considering the refrigeration capacity of the storage nodes, ensuring that the selected optimal distribution storage node has sufficient refrigeration capacity, the required temperature of the goods can be maintained; this helps to prevent damage or deterioration of the cargo, thereby improving the safety and quality of the cargo; by directing the goods to the optimal distribution warehousing node, inventory management can be optimized, reducing inventory holding costs; this helps to ensure that inventory levels are within the proper range and reduces problems with stock backlog or excessive inventory;
in general, step S6 allows for the selection of optimal distribution storage nodes by considering a number of key factors, including shortest distance, transit time, refrigeration capacity, route feasibility and transit cost, thereby optimizing logistics flow, reducing operating costs, and improving quality and safety of goods.
Example two
As shown in fig. 4, the system for processing logistics information in a combined manner of the present invention specifically comprises the following modules;
the information acquisition module is used for acquiring the cargo transportation information of the cancelled order and sending the cargo transportation information; the goods transportation information includes the kind, the quantity, the delivery place, the destination, the transportation route and the transportation time of the goods;
the transfer node extraction module is used for receiving the cargo transportation information, extracting transfer nodes from the cargo transportation information, obtaining transfer nodes for intercepting cargoes and sending the transfer nodes; if the goods are in the process of transportation, the next transit node of the transportation route is used as a transit node for intercepting the goods;
The time node extraction module is used for receiving the goods transportation information, extracting the time nodes of the goods transportation information, obtaining the residual refrigeration and heat preservation time of the goods and sending the residual refrigeration and heat preservation time; the residual refrigeration and heat preservation time of the goods is the effective refrigeration and heat preservation time of the goods minus the time from the start of packaging to the transfer node of the intercepted goods;
the storage node screening module is used for receiving the residual cold storage and heat preservation time of the goods, screening a plurality of storage nodes, summarizing all storage nodes capable of receiving the goods in the residual cold storage and heat preservation time of the goods, obtaining a first-order bin Chu Jiedian set, and sending the first-order bin Chu Jiedian set;
the backorder index calculation module is used for receiving the first-order bin Chu Jiedian set, determining backorder indexes of cargoes in storage nodes in the first-order storage node set, screening storage nodes with backorder indexes larger than a preset threshold value, obtaining a second-order storage node set and sending the second-order storage node set;
the storage node distribution module is used for receiving the second-order storage node set, extracting the transportation route between each storage node in the second-order storage node set and the transit node for intercepting the cargoes, and taking the storage node with the shortest transportation route as the optimal distribution storage node of the cargoes.
In the embodiment, the system can acquire and process the cargo transportation information in real time, including information such as the interception of cargo transfer nodes and the remaining refrigeration and heat preservation time of the cargo, so that the recovered cargo can be processed in time, and damage of the cargo due to failure in maintaining proper temperature is avoided; the system can optimize warehouse management by screening warehouse nodes capable of receiving cargoes in the residual refrigerating and heat preserving time of the cargoes and determining the backorder index of the cargoes, thereby improving the utilization rate of warehouse space and timely supply of the cargoes;
according to the system, the storage node with the shortest transportation route is used as the optimal distribution storage node of the goods, so that the transportation time and the transportation distance of the goods can be shortened, and the loss caused by canceling orders is reduced; the system enables consumers to enjoy high quality fresh food more easily, because cancelled orders can be processed more quickly, avoiding the influence on the quality of the product; the system has high flexibility, can adapt to different logistics environments and cargo types, and is convenient to expand and upgrade;
in summary, the system can effectively solve the possible problems in the return order processing, reduce the loss risk to the greatest extent and improve the efficiency and the service quality of the logistics industry through the cooperative work of the information acquisition module, the transit node extraction module, the time node extraction module, the warehouse node screening module, the backorder index calculation module and the warehouse node distribution module.
The various modifications and embodiments of the method for processing the physical distribution information in the first embodiment are equally applicable to the system for processing the physical distribution information in the present embodiment, and those skilled in the art can clearly know the implementation method of the system for processing the physical distribution information in the present embodiment through the foregoing detailed description of the method for processing the physical distribution information in the present embodiment, so that the detailed description is omitted herein for brevity.
In addition, the application further provides an electronic device, which comprises a bus, a transceiver, a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the transceiver, the memory and the processor are respectively connected through the bus, and when the computer program is executed by the processor, the processes of the method embodiment for controlling output data are realized, and the same technical effects can be achieved, so that repetition is avoided and redundant description is omitted.
The foregoing is merely a preferred embodiment of the present invention, and it should be noted that it is possible for a person skilled in the art to make several improvements and modifications without departing from the technical principle of the present invention, and these improvements and modifications should also be considered as the scope of protection of the present invention.
Claims (10)
1. The method for jointly processing the logistics information is characterized by comprising the following steps of:
acquiring cargo transportation information of a cancelled order;
extracting transfer nodes from the cargo transportation information of the cancelled order to obtain a cargo interception transfer node; the transfer node refers to a node where the goods are currently located, and if the goods are in transportation, the interception of the goods transfer node refers to the next planned transfer node on the transportation route;
extracting time nodes of the cargo transportation information of the cancelled order to obtain the remaining refrigeration and heat preservation time of the cargo; the residual refrigeration and heat preservation time of the goods is the effective refrigeration and heat preservation time of the goods minus the time from the start of packaging to the transfer node of the intercepted goods;
screening a plurality of storage nodes according to the residual cold storage and heat preservation time of the goods, and summarizing all storage nodes capable of receiving the goods within the residual cold storage and heat preservation time of the goods to obtain a first-order bin Chu Jiedian set;
determining the stock shortage index of the goods in each storage node in the first-order storage node set, screening storage nodes with stock shortage indexes larger than a preset threshold value, and obtaining a second-order storage node set; the backorder index is an index for measuring the balance of the supply of the cargo demand of the storage node, the higher the backorder index is, the larger the demand of the storage node is, and the calculation formula of the backorder index is as follows:
；
Wherein S is a backorder index; d is the cargo demand of the storage node; i is the current actual stock quantity of the storage nodes; c is the quantity of goods which can be accommodated by the storage node;
and extracting the transportation routes between each storage node and the transit node for intercepting the cargoes in the second-order storage node set, and taking the storage node with the shortest transportation route as the optimal distribution storage node of the cargoes.
2. The method for jointly processing logistics information according to claim 1, wherein the method for screening out the storage nodes with the defect index larger than the preset threshold value comprises the following steps:
calculating the backorder index of each storage node in the first-order storage node set;
setting a threshold value for comparison with the backorder index according to the business requirement;
comparing each calculated backorder index according to a set threshold value, and screening storage nodes with backorder indexes larger than the threshold value;
summarizing the screened storage nodes to form a second-order storage node set.
3. The method for joint processing of logistics information according to claim 2, wherein the threshold is set according to: business priority, supply chain timeliness, inventory costs, historical data, and service level objectives.
4. The method for jointly processing logistics information according to claim 1, wherein the method for obtaining the interception cargo transit node comprises the following steps:
acquiring the current position, the transportation speed and the transportation route of the goods through a logistics tracking system;
and extracting the transfer node for intercepting the cargoes.
5. The method for combined processing of logistics information according to claim 1, wherein the method for obtaining the remaining refrigerating and heat-preserving time of the goods comprises the following steps:
acquiring cargo transportation information of a cancelled order, wherein the cargo transportation information comprises a starting place, a destination, a transit node in the transportation process and a starting time of the cargo;
calculating the residual refrigerating and heat preserving time of the goods;
the remaining refrigeration incubation time of the cargo is periodically monitored and updated.
6. The method for joint processing of physical distribution information according to claim 1, wherein the method for obtaining the first-order storage node set comprises the steps of
Obtaining the distances between all storage nodes and the transfer node in the intercepted goods;
calculating the transportation time from the cargo interception transfer node to each storage node;
comparing the calculated transportation time with the residual cold storage and heat preservation time of the goods, and screening out storage nodes with the transportation time smaller than the residual cold storage and heat preservation time of the goods;
Summarizing the screened storage nodes to form a first-order storage node set.
7. The method of claim 1, wherein the determining the best distribution storage node comprises:
obtaining logistics information of each storage node in the second-order storage node set, wherein the logistics information comprises storage node positions, refrigerating capacity, transportation capacity and transportation routes;
for each storage node in the second-order storage node set, calculating the length of a transport route from the cargo interception transfer node to the storage node;
comparing the route lengths of all the storage nodes in the second-order storage node set to find the storage node with the shortest transportation route;
ensuring that the storage nodes of the shortest transportation route have refrigerating capacity meeting the demand of the goods so as to maintain the temperature required by the goods;
and identifying the storage node which has the shortest transportation route and meets the refrigeration requirement as the best distribution storage node of the goods.
8. A system for the joint processing of logistics information, said system comprising:
the information acquisition module is used for acquiring the cargo transportation information of the cancelled order and sending the cargo transportation information; the goods transportation information includes the kind, the quantity, the delivery place, the destination, the transportation route and the transportation time of the goods;
The transfer node extraction module is used for receiving the cargo transportation information, extracting transfer nodes from the cargo transportation information, obtaining transfer nodes for intercepting cargoes and sending the transfer nodes; the transfer node refers to a node where the goods are currently located, and if the goods are in transportation, the interception of the goods transfer node refers to the next planned transfer node on the transportation route;
the time node extraction module is used for receiving the goods transportation information, extracting the time nodes of the goods transportation information, obtaining the residual refrigeration and heat preservation time of the goods and sending the residual refrigeration and heat preservation time; the residual refrigeration and heat preservation time of the goods is the effective refrigeration and heat preservation time of the goods minus the time from the start of packaging to the transfer node of the intercepted goods;
the storage node screening module is used for receiving the residual cold storage and heat preservation time of the goods, screening a plurality of storage nodes, summarizing all storage nodes capable of receiving the goods in the residual cold storage and heat preservation time of the goods, obtaining a first-order bin Chu Jiedian set, and sending the first-order bin Chu Jiedian set;
the backorder index calculation module is used for receiving the first-order bin Chu Jiedian set, determining backorder indexes of cargoes in storage nodes in the first-order storage node set, screening storage nodes with backorder indexes larger than a preset threshold value, obtaining a second-order storage node set and sending the second-order storage node set; the backorder index is an index for measuring the balance of the supply of the cargo demand of the storage node, the higher the backorder index is, the larger the demand of the storage node is, and the calculation formula of the backorder index is as follows:
；
Wherein S is a backorder index; d is the cargo demand of the storage node; i is the current actual stock quantity of the storage nodes; c is the quantity of goods which can be accommodated by the storage node;
the storage node distribution module is used for receiving the second-order storage node set, extracting the transportation route between each storage node in the second-order storage node set and the transit node for intercepting the cargoes, and taking the storage node with the shortest transportation route as the optimal distribution storage node of the cargoes.
9. A logistics information joint processing electronic device comprising a bus, a transceiver, a memory, a processor and a computer program stored on said memory and executable on said processor, said transceiver, said memory and said processor being connected by said bus, characterized in that said computer program when executed by said processor realizes the steps of the method according to any of claims 1-7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
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