CN113313335A - Logistics vehicle scheduling method and device and storage medium - Google Patents
Logistics vehicle scheduling method and device and storage medium Download PDFInfo
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Abstract
The disclosure provides a logistics vehicle scheduling method, a logistics vehicle scheduling device and a storage medium, wherein the logistics vehicle scheduling method comprises the following steps: setting a list combination judgment rule, and carrying out list combination processing on the received new order according to the list combination judgment rule; acquiring the total weight and the total volume of commodities of all orders in the order combining group, and judging whether logistics vehicles need to be allocated to the order combining group or not according to a preset scheduling rule on the basis of the total weight and the total volume of the commodities; if so, acquiring a preset vehicle configuration rule, executing logistics vehicle distribution processing on the order merging group according to the vehicle configuration rule, and closing the order merging group after the logistics vehicle distribution processing is determined to be completed. The method, the device and the storage medium disclosed by the invention realize the purpose of replacing artificial intelligent scheduling, reduce manual operation, avoid dependence on manual experience, realize optimal utilization of resources and most efficient vehicle-cargo matching, improve the working efficiency and reduce the operation cost.
Description
Technical Field
The invention relates to the technical field of electronic commerce, in particular to a logistics vehicle scheduling method, a logistics vehicle scheduling device and a storage medium.
Background
After the transportation system of the E-business receives the order, a transportation order is generated, orders with similar origin and destination are automatically combined through a manual or system, confirmation is carried out after combination, and a proper vehicle and a driver are assigned for transportation. When an order is received each time, the order needs to be comprehensively judged manually, a merging strategy is selected according to basic information such as a destination and a cargo volume, order combination processing is carried out, the order combination rule is single, vehicle resources cannot be effectively utilized, the dependence on manual operation is high, the working efficiency is low, and the operation cost is high.
Disclosure of Invention
In view of the above, an object of the present invention is to provide a method, an apparatus and a storage medium for dispatching logistics vehicles.
According to an aspect of the present disclosure, there is provided a logistics vehicle scheduling method, including: setting a list combination judgment rule, and carrying out list combination processing on the received new order according to the list combination judgment rule; wherein the order combining process comprises: adding the new order into the established order combining group or newly establishing the order combining group containing the new order; acquiring the total weight and the total volume of commodities of all orders in the order combining group, and judging whether logistics vehicles need to be distributed to the order combining group or not according to a preset scheduling rule on the basis of the total weight and the total volume of the commodities; if so, acquiring a preset vehicle configuration rule, and executing logistics vehicle distribution processing on the order merging group according to the vehicle configuration rule; closing the order merge group upon determining that the logistics vehicle allocation process is complete.
Optionally, the determining whether the order is required to be combined into the component distribution logistics vehicle according to a preset scheduling rule based on the total weight of the commodities and the total volume of the commodities includes: acquiring the highest stowage rate of the largest vehicle type, and judging whether the order combination reaches the highest stowage rate of the largest vehicle type or not based on the total weight of the commodities and the total volume of the commodities; and if the order combining group reaches the highest stowage rate of the maximum vehicle type, determining that logistics vehicles need to be distributed to the order combining group.
Optionally, the performing logistics vehicle allocation processing on the order merge group according to the vehicle configuration rule includes: if the order combining group reaches the highest stowage rate of the maximum vehicle type, forbidding the order combining group to add a new order; acquiring preset manual optimization waiting time, and starting timing based on the manual optimization waiting time; and if the order combining group is determined not to be subjected to manual optimization processing after the timing is finished, acquiring vehicle type information and personnel scheduling information, automatically distributing logistics vehicles to the order combining group according to the vehicle type information and the personnel scheduling information, and generating a vehicle scheduling scheme.
Optionally, if the order combining and combining does not reach the highest stowage rate of the maximum vehicle type, obtaining the minimum stowage rate of the minimum vehicle type when a preset order ending time is reached; judging whether the order combination reaches the minimum stowage rate of the minimum vehicle type or not based on the total weight of the commodities and the total volume of the commodities; and if the order combining group reaches the minimum stowage rate of the minimum vehicle type, determining that logistics vehicles need to be distributed to the order combining group.
Optionally, the performing logistics vehicle allocation processing on the order combination group according to a preset vehicle configuration rule includes: when the order ending time is up, if the order combining group is determined to reach the minimum stowage rate of the minimum vehicle type, the order combining group is forbidden to be added into a new order; and automatically distributing logistics vehicles for the order combination according to the vehicle type information and the personnel scheduling information.
Optionally, after the order merge group is prohibited from being added into a new order, if the order merge group reaches the minimum stowage rate of the minimum vehicle model, acquiring the manual optimization waiting time, and starting timing according to the manual optimization waiting time; and if the order merging group is determined not to be subjected to manual optimization processing after the timing is finished, automatically distributing logistics vehicles to the order merging group based on vehicle type information and personnel scheduling information.
Optionally, the performing logistics vehicle allocation processing on the order combination group according to a preset vehicle configuration rule includes: and when the order ending time is up, if the order combining group is determined not to reach the minimum stowage rate of the minimum vehicle type, setting the logistics vehicle distribution mode of the order combining group as a manual mode, and waiting for receiving a manual adjustment operation instruction.
Optionally, the order combining processing on the received new order according to the order combining judgment rule includes: acquiring first order information of the new order and second order information of one order in the established order combination group; judging whether the first order information is matched with the second order information according to the order combination judgment rule; if yes, adding the new order into the established order combining group, and if not, establishing the new order combining group and adding the new order.
Optionally, the order combining decision rule includes: at least one of an address range rule, a time range rule, a customer range rule, a cargo type rule, an order type rule, and a mode of transportation rule.
Optionally, the address range rule includes: at least one of a merge level of the originating address, a merge level of the destination address, and a next mesh point; the time range rule includes: the bill forming time; the customer-scoped rules include: at least one of sender information and receiver information; the cargo type rules include: the types of goods belonging to the same order merger group; the order type rules include: the order types belonging to the same order combination group; the transportation mode rule comprises: belonging to the transportation mode of the same order combination.
According to another aspect of the present disclosure, there is provided a logistics vehicle dispatching device, including: the order combination processing module is used for setting an order combination judgment rule and carrying out order combination processing on the received new order according to the order combination judgment rule; wherein the order combining process comprises: adding the new order into the established order combining group or newly establishing the order combining group containing the new order; the vehicle distribution module is used for acquiring the total weight and the total volume of commodities of all orders in the order combining group, judging whether logistics vehicles need to be distributed to the order combining group according to a preset scheduling rule based on the total weight and the total volume of the commodities, if so, acquiring a preset vehicle configuration rule, and executing logistics vehicle distribution processing on the order combining group according to the vehicle configuration rule; and the merging and combining closing module is used for closing the order merging and combining after the logistics vehicle distribution processing is determined to be finished.
According to still another aspect of the present disclosure, there is provided a logistics vehicle dispatching device, including: a memory; and a processor coupled to the memory, the processor configured to perform the method as described above based on instructions stored in the memory.
According to yet another aspect of the present disclosure, a computer-readable storage medium is provided, which stores computer instructions for execution by a processor to perform the method as described above.
According to the logistics vehicle scheduling method, the logistics vehicle scheduling device and the storage medium, the order combination judgment rule is set, and a new order is added into an established order combination group or an order combination group containing the new order is newly established to replace manual order combination processing; whether logistics vehicles need to be distributed to the order combining groups is determined according to the scheduling rules, and the logistics vehicles are distributed to the order combining groups according to the vehicle distribution rules, so that optimal resource utilization can be achieved, manual operation is reduced, dependence on manual experience is avoided, optimal resource utilization and most efficient vehicle-cargo matching can be achieved, and working efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a schematic flow chart diagram of one embodiment of a logistics vehicle dispatch method in accordance with the present disclosure;
FIG. 2 is a schematic diagram of an interface for configuring rules of a single decision rule;
FIG. 3 is a flowchart illustrating an exemplary process of performing a process of combining orders or creating an order merge group;
fig. 4 is a schematic flow chart of the method for dispatching logistics vehicles according to an embodiment of the present disclosure;
fig. 5 is a schematic flow chart of a process for performing logistics vehicle allocation in an embodiment of a logistics vehicle scheduling method according to the present disclosure;
fig. 6 is a schematic flow chart of the method for dispatching logistics vehicles according to another embodiment of the present disclosure;
FIG. 7 is a schematic flow diagram of an example logistics vehicle dispatch;
FIG. 8A is a block schematic diagram of one embodiment of a logistics vehicle dispatch device in accordance with the present disclosure; FIG. 8B is a block diagram of a vehicle distribution module;
fig. 9 is a block schematic diagram of another embodiment of a logistics vehicle dispatching device according to the present disclosure.
Detailed Description
The present disclosure now will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the disclosure are shown. The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
The terms "first", "second", and the like are used hereinafter only for descriptive distinction and not for other specific meanings.
Embodiments of the present disclosure may be implemented in electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with an electronic device, such as a terminal device, computer system, or server, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be implemented in a distributed cloud computing environment. In a distributed cloud computing environment, tasks may be performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Fig. 1 is a schematic flow chart of an embodiment of a logistics vehicle scheduling method according to the present disclosure, as shown in fig. 1:
In an embodiment, the order combination decision rule sets which orders can enter the same order combination group, and sets a corresponding order combination pool for the order combination group, which is used for storing all orders in the order combination group. The order may be of various types, such as pull-in, send-out, etc.
And 102, acquiring the total weight and the total volume of the commodities of all orders in the order combination group, and judging whether logistics vehicles need to be distributed to the order combination group according to a preset scheduling rule based on the total weight and the total volume of the commodities.
And 103, if so, acquiring a preset vehicle configuration rule, and executing logistics vehicle distribution processing on the order combination group according to the vehicle configuration rule.
In one embodiment, the scheduling rule sets a trigger condition for allocating the logistics vehicles for the order merge group, and the like, and the vehicle allocation rule sets a logistics vehicle allocation rule for the order merge group, and the like.
And step 104, closing the order merging group after the logistics vehicle distribution processing is determined to be completed. And deleting the order pool corresponding to the order merge group after the order merge group is closed.
The order combining decision rule can be set, including: at least one of an address range rule, a time range rule, a customer range rule, a cargo type rule, an order type rule, and a mode of transportation rule. There are various methods for conducting the order-combining process on the new order according to the preset order-combining judgment rule.
In one embodiment, first order information of a new order and second order information of one order in an established order combining group are obtained, whether the first order information is matched with the second order information is judged according to an order combining judgment rule, if yes, the new order is added into the established order combining group, and if not, the new order combining group is established and the new order is added. If there is no established order merge, a new order merge is established and a new order is added.
As shown in fig. 2, a rule configuration function interface is provided, and a manager can configure the rule. The address range rules include: at least one of a merge level of the originating address, a merge level of the destination address, and a next mesh point; the merging level of the originating address and the merging level of the destination address are address dimensions, including province, city, prefecture, and the like.
The time range rules include: the bill forming time; the time range rule defines the number of order and the time, and the number of order time is consistent with the number of order. The customer-scoped rules include: at least one of sender information and receiver information; the customer-wide rule may specify a contract by sender name and/or receiver name. The cargo type rules include: the types of goods belonging to the same order merger group; the goods type rules can be set, the goods types selected by the user can be listed together, and the goods types not selected by the user can not be listed together.
The order type rules include: the order types belonging to the same order combination group; the order type rule can be set, and if a manager selects a set option, the manager cannot allow different order types to be combined, such as collecting, trunk line, and delivery order can not be combined. The transportation mode rules include: belonging to the transportation mode of the same order combination. The transportation mode rules can be set, and if a manager selects a set option, the manager does not allow different transportation mode types to be combined, such as express delivery, aviation and the like.
Fig. 3 is a schematic view illustrating an exemplary process of performing order combination processing or creating an order combination group, as shown in fig. 3, after an order is placed through an order receiving platform, an order placing logic is executed in a transportation system, and after the order placing is successful, whether intelligent scheduling is performed is determined. And when the intelligent scheduling switch is opened, performing order combination processing or newly building an order combination group. And if the intelligent scheduling switch is closed, performing manual scheduling processing.
And if the first order information of the new order and the second order information of one order in the established order merge group are successfully matched based on all the rules, adding the new order into the established order merge group in which the second order information is located.
Judging whether the address range switch is turned on, if so, skipping the rule to execute the next logic, and if so, judging the specific address range rule:
a. the merging levels of the originating addresses are consistent; for example, if province or city is selected, when the combination is determined, the province or city dimension selected according to the selection is combined;
b. the merging levels of the destination addresses are consistent; for example, if province or city is selected, and represents the combination, the province or city dimension selected according to the selection is combined;
c. the next mesh point is consistent; for example, when an order is placed, a destination network point is pre-sorted, and if the destination network point is the same network point, the order is automatically combined.
The rule a, b and c can be combined and matched, and if the first order information of the new order and the second order information of one order in the established order combination group are successfully matched based on the configured address range rule, the address range rule is considered to be successfully matched.
Checking whether the time range switch is on, if so, skipping the rule to execute the next logic, and if so, judging the specific time range rule:
a. configuring a billing time according to the maintained transportation wave number (such as 1 wave number in 1 day);
b. if the number of waves is more than 1 day, the corresponding statement time needs to be configured.
And if the order ending time of the first order information of the new order and the second order information of one order in the established order combination group is later than the set order ending time, the address range rule is considered to be successfully matched.
Checking whether a client scope switch is turned on, if so, skipping the rule to execute the next logic, and if so, judging the specific client scope rule:
a. checking the shippers, wherein the shippers have the same name and can enter the same order pool (order combining group);
b. if the consignee is selected, the consignee names are consistent, and the consignee can enter the same order pool (order combining group).
And the rules a and b can be combined and matched, and if the first order information of the new order is compared with the second order information of one order in the established order combination group, and the selected customer range rules are determined to be successfully matched, the customer range rules are considered to be successfully matched.
Checking whether a cargo type switch is turned on, if so, skipping the rule to execute the next logic, and if so, judging the specific cargo type rule:
a. supportable goods types are maintained in advance, if one/more goods types are checked, only checked goods types are limited to enter the same order pool (order merge group), and other goods types cannot enter the same order pool (order merge group).
And if the first order information of the new order is compared with the second order information of one order in the established order merge group, and the selected goods type rules are successfully matched, the matching of the customer range rules is considered to be successful.
Checking whether the order type switch is on, if closed, skipping the rule to execute the next logic, and if open, judging that different order types can not enter the same order pool (order merge group).
And checking whether a transportation mode switch is turned on, skipping the rule to execute the next logic if the transportation mode switch is turned off, and judging that different transportation modes cannot enter the same order pool (order combination group) if the transportation mode switch is turned on.
The system carries out order combination processing or newly-built order combination set according to an order combination judgment rule formed by the six rules, when a new order enters, the system judges which order combination set can be added, and if not, a new order combination judgment rule needs to be created.
Fig. 4 is a schematic flowchart of the method for dispatching logistics vehicles according to an embodiment of the present disclosure, where the method for dispatching logistics vehicles is shown in fig. 4:
And step 202, judging whether the order combination reaches the highest stowage rate of the maximum vehicle type or not based on the total weight and the total volume of the commodities.
The logistics vehicle can be various, such as large, medium and small freight vehicles, and the largest vehicle type is the vehicle type with the largest vehicle bearing capacity. The method can obtain the stowage rate of the vehicle type based on various existing methods, wherein the stowage rate comprises a maximum stowage rate, a minimum stowage rate and the like.
And step 203, if the order combining group reaches the highest stowage rate of the maximum vehicle type, determining that logistics vehicles need to be allocated to the order combining group. And the order combining group reaches the highest stowage rate of the maximum vehicle type, namely the total weight of all the orders in the order combining group and the total volume of the commodities reach the highest stowage rate of the maximum vehicle type.
The vehicle configuration rules may be various. Fig. 5 is a schematic flowchart of a process for executing logistics vehicle allocation in an embodiment of the logistics vehicle scheduling method according to the disclosure, as shown in fig. 5:
The manual optimization waiting time is the time for waiting for manual intervention after the order is combined, for example, 30 minutes and the like, if the option is not selected or the manual optimization waiting time is 0, the order combination does not need manual intervention, and the logistics vehicles are directly and automatically distributed. The manual optimization may be an operation of manually adjusting orders in the order merger, allocating logistics vehicles, and the like.
And 302, if the order merging group is determined not to be subjected to manual optimization processing after the timing is finished, automatically distributing logistics vehicles to the order merging group based on the vehicle type information and the personnel scheduling information. And automatically distributing the logistics vehicles to the order merging groups, generating a vehicle dispatching scheme, and sending the vehicle dispatching scheme to a dispatching system.
And when the total weight of the commodities and the total volume of the commodities of all orders in the order combination group reach the highest stowage rate of the largest vehicle type, forbidding the order combination group to add a new order, waiting for manual optimization of the order combination group and the like. And if the manual optimization processing is not carried out on the order combining group after the set manual optimization waiting time is exceeded, automatically distributing the logistics vehicles to the order combining group according to the vehicle type information and the personnel scheduling information. The personnel scheduling information can be driver scheduling information and the like, and the logistics vehicles can be automatically distributed to the order combination according to the vehicle type information and the driver scheduling information by adopting various existing automatic distribution methods.
Fig. 6 is a schematic flowchart of a method for dispatching logistics vehicles according to another embodiment of the present disclosure, where the method for dispatching logistics vehicles includes:
And if the order ending time is up and the order combining group reaches the minimum stowage rate of the minimum vehicle type, forbidding the order combining group from adding a new order, acquiring preset manual optimization waiting time and starting timing based on the manual optimization waiting time, and if the order combining group is determined not to be subjected to manual optimization processing after the timing is ended, automatically distributing logistics vehicles to the order combining group based on vehicle type information and personnel scheduling information.
When the order ending time is up, if the total weight and the total volume of the commodities of all orders in the order combination group reach the stowage rate of the system minimum vehicle type, the logistics vehicles can be automatically distributed according to the driver scheduling information and the vehicle type information, and if the total weight and the total volume of the commodities of all orders in the order combination group do not reach the stowage rate of the system minimum vehicle type, the vehicle dispatching cannot be triggered after the manual optimization waiting time is exceeded, and the manual intervention is continuously waited.
In one embodiment, fig. 7 is a schematic flow chart of an example logistics vehicle dispatching process, as shown in fig. 7: the order receiving platform receives 5 orders, the new orders are subjected to order combination processing according to the order combination judgment rule, and the order is judged according to specific order information in the order combination judgment rule by using the rule in the order combination judgment rule:
1. address range rules: the switch is on; origin is county level; the purpose is provincial;
2. a time range rule; the switch is on; 2 waves for 1 day; the list formation time is as follows: 11 points; 17, point;
3. customer scope rules: the switch is on; opening the shipper; closing the receiver;
4. cargo type rules: the switch is on; fresh and medicine;
5. order type rules: the switch is closed; no limitation;
6. the transportation mode is regulated: the switch is closed; no limitation;
the result of adding a new order to the established order merge or newly establishing an order merge including a new order is: order 1&2&4 create order merge group 1; order 3 creates order merge group 2; order 5 creates order merge group 3.
And judging based on the set scheduling rule: if the total weight and the total volume of the commodities of all orders in the order combination group reach the highest stowage rate of the current maximum vehicle type of the system, waiting for manual adjustment; and if the order combining and grouping reaches the order ending time and the total weight of all the orders in the order combining and grouping and the total volume of the commodities reach the lowest stowage rate of the minimum vehicle type of the system, waiting for manual adjustment.
Judging whether the waiting time exceeds the manual optimization waiting time, if so, matching the vehicle type according to the total weight and total volume of the commodities of all orders in the order combination group, and matching the driver according to the driver scheduling to realize automatic scheduling; and if the order ending time is reached, the total weight of the commodities and the total volume of the commodities of all orders in the order combination group do not meet the lowest stowage rate, manual adjustment is carried out, and automatic scheduling cannot be carried out. And adding or reducing orders to the order combination group through manual adjustment, and manually selecting the vehicle and the driver. And combining and closing the orders after intelligent scheduling or manual scheduling.
In one embodiment, as shown in fig. 8A, the present disclosure provides a logistics vehicle dispatching device 80, comprising: a merge processing module 81, a vehicle assignment module 82, and a merge shutdown module 83.
The order combination processing module 81 sets an order combination judgment rule and performs order combination processing on the received new order according to the order combination judgment rule; wherein, close single processing and include: the new order is added to the established order merge or an order merge is newly established that includes the new order. The vehicle allocation module 82 obtains the total weight and the total volume of the commodities of all orders in the order combining group, judges whether logistics vehicles need to be allocated to the order combining group according to a preset scheduling rule based on the total weight and the total volume of the commodities, and if so, obtains a preset vehicle allocation rule and executes logistics vehicle allocation processing on the order combining group according to the vehicle allocation rule. The merge-group closing module 83 closes the order merge-group upon determining that the logistics vehicle allocation process is complete.
In one embodiment, the order combining processing module 81 obtains first order information for a new order and second order information for an order in an established order merge group. And the order combination processing module 81 judges whether the first order information is matched with the second order information according to an order combination judgment rule, if so, adds the new order into the established order combination group, and if not, establishes the new order combination group and adds the new order.
As shown in fig. 8B, the vehicle assignment module 82 includes: commodity information acquisition unit 821, allocation judgment unit 822, schedule judgment unit 823, first schedule processing unit 824, and second schedule processing unit 824. The commodity information obtaining unit 821 obtains the total commodity weight and the total commodity volume of all orders in the order combination group. The stowage judging unit 822 judges whether the order combination reaches the highest stowage rate of the maximum vehicle type based on the total weight and total volume of the commodities. The scheduling judgment unit 823 determines that logistics vehicles need to be allocated to the order merge group if the order merge group reaches the highest stowage rate of the maximum vehicle type.
If the order merge-group reaches the highest stowage rate of the largest vehicle model, the first scheduling processing unit 824 prohibits the order merge-group from adding into a new order, obtains a preset manual optimization waiting time, and starts timing based on the manual optimization waiting time. If it is determined that the manual optimization processing is not performed on the order merge group after the timing is ended, the first scheduling processing unit 824 automatically allocates the logistics vehicles to the order merge group based on the vehicle type information and the personnel scheduling information, and generates a vehicle scheduling scheme.
If the order combining group does not reach the highest stowage rate of the maximum vehicle type, the scheduling judgment unit 823 judges whether the order combining group reaches the minimum stowage rate of the minimum vehicle type based on the total weight of the commodities and the total volume of the commodities when the preset order ending time is reached. If the order merge group reaches the minimum stowage rate of the minimum vehicle type, the scheduling judgment unit 823 determines that the logistics vehicle needs to be allocated to the order merge group.
If the order ending time is reached and the order merge group reaches the minimum stowage rate of the minimum vehicle type, the scheduling judgment unit 823 prohibits the order merge group from adding a new order, and the second scheduling processing unit 825 automatically allocates a logistics vehicle to the order merge group based on the vehicle type information and the personnel scheduling information.
After prohibiting the order merge group from adding a new order, if the order merge group reaches the minimum stowage rate of the minimum vehicle type, the second scheduling processing unit 825 obtains a preset manual optimization waiting time and starts timing based on the manual optimization waiting time. If it is determined that the manual optimization processing is not performed on the order merge group after the timing ends, the second scheduling processing unit 825 automatically allocates a logistics vehicle to the order merge group based on the vehicle type information and the personnel scheduling information.
If the order ending time is up and the order combining group does not reach the minimum stowage rate of the minimum vehicle type, the second scheduling processing unit 825 sets the logistics vehicle distribution mode of the order combining group to a manual mode and waits for receiving a manual adjustment operation instruction.
Fig. 9 is a block schematic diagram of another embodiment of a logistics vehicle dispatching device according to the present disclosure. As shown in fig. 9, the apparatus may include a memory 91, a processor 92, a communication interface 93, and a bus 94. The memory 91 is used for storing instructions, the processor 92 is coupled to the memory 91, and the processor 92 is configured to execute the logistics vehicle scheduling method based on the instructions stored in the memory 91.
The memory 91 may be a high-speed RAM memory, a non-volatile memory (non-volatile memory), or the like, and the memory 91 may be a memory array. The storage 91 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules. The processor 92 may be a central processing unit CPU, or an application Specific Integrated circuit asic (application Specific Integrated circuit), or one or more Integrated circuits configured to implement the logistics vehicle dispatch method of the present disclosure.
In one embodiment, the present disclosure provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement a method as in any one of the above embodiments.
In the method, the device and the storage medium for logistics vehicle scheduling provided in the above embodiment, by setting the order merging decision rule, a new order is added to the established order merge group or an order merge group including a new order is newly established, instead of manual order merging processing; determining whether logistics vehicles need to be distributed to the order combining groups according to the scheduling rules, and distributing the logistics vehicles to the order combining groups by adopting the vehicle distribution rules, so that the optimal utilization of resources can be achieved; the intelligent dispatching system has the advantages that the intelligent dispatching replacing manual work is realized, the manual operation is reduced, the dependence on manual experience is avoided, the optimal utilization of resources and the most efficient vehicle and goods matching can be realized, the working efficiency is improved, and the operation cost is reduced.
The method and system of the present disclosure may be implemented in a number of ways. For example, the methods and systems of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
The description of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the disclosure in the form disclosed. Many modifications and variations will be apparent to practitioners skilled in this art. The embodiment was chosen and described in order to best explain the principles of the disclosure and the practical application, and to enable others of ordinary skill in the art to understand the disclosure for various embodiments with various modifications as are suited to the particular use contemplated.
Claims (12)
1. A logistics vehicle dispatching method comprises the following steps:
setting a list combination judgment rule, and carrying out list combination processing on the received new order according to the list combination judgment rule;
wherein the order combining process comprises: adding the new order into the established order combining group or newly establishing the order combining group containing the new order;
acquiring the total weight and the total volume of commodities of all orders in the order combining group, and judging whether logistics vehicles need to be distributed to the order combining group or not according to a preset scheduling rule on the basis of the total weight and the total volume of the commodities;
if so, acquiring a preset vehicle configuration rule, and executing logistics vehicle distribution processing on the order merging group according to the vehicle configuration rule;
closing the order merge group upon determining that the logistics vehicle allocation process is complete.
2. The method of claim 1, wherein the determining whether the logistics vehicles need to be allocated to the order combining group based on the total weight of the commodities and the total volume of the commodities according to a preset scheduling rule comprises:
acquiring the highest stowage rate of the largest vehicle type, and judging whether the order combination reaches the highest stowage rate of the largest vehicle type or not based on the total weight of the commodities and the total volume of the commodities;
and if the order combining group reaches the highest stowage rate of the maximum vehicle type, determining that logistics vehicles need to be distributed to the order combining group.
3. The method of claim 2, said performing logistics vehicle allocation processing on said order merge group according to said vehicle configuration rules comprising:
if the order combining group reaches the highest stowage rate of the maximum vehicle type, forbidding the order combining group to add a new order;
acquiring preset manual optimization waiting time, and starting timing based on the manual optimization waiting time;
and if the order combining group is determined not to be subjected to manual optimization processing after the timing is finished, acquiring vehicle type information and personnel scheduling information, automatically distributing logistics vehicles to the order combining group according to the vehicle type information and the personnel scheduling information, and generating a vehicle scheduling scheme.
4. The method of claim 3, further comprising:
if the order combining and combining does not reach the highest loading rate of the maximum vehicle type, acquiring the minimum loading rate of the minimum vehicle type when the preset order ending time is reached;
judging whether the order combination reaches the minimum stowage rate of the minimum vehicle type or not based on the total weight of the commodities and the total volume of the commodities;
and if the order combining group reaches the minimum stowage rate of the minimum vehicle type, determining that logistics vehicles need to be distributed to the order combining group.
5. The method of claim 4, the performing logistics vehicle allocation processing on the order merge group according to the vehicle configuration rule comprising:
when the order ending time is up, if the order combining group is determined to reach the minimum stowage rate of the minimum vehicle type, the order combining group is forbidden to be added into a new order;
and automatically distributing logistics vehicles to the order combination according to the vehicle type information and the personnel scheduling information to generate a vehicle scheduling scheme.
6. The method of claim 5, further comprising:
after the order combining group is forbidden to be added into a new order, if the order combining group reaches the minimum stowage rate of the minimum vehicle type, acquiring the manual optimization waiting time, and starting timing according to the manual optimization waiting time;
and after the timing is finished, if the manual optimization processing is not performed on the order combining group, acquiring the vehicle type information and the personnel scheduling information, and automatically distributing logistics vehicles to the order combining group based on the vehicle type information and the personnel scheduling information.
7. The method of claim 4, wherein the performing logistics vehicle allocation processing on the order merge group according to preset vehicle configuration rules comprises:
and when the order ending time is up, if the order combining group is determined not to reach the minimum stowage rate of the minimum vehicle type, setting the logistics vehicle distribution mode of the order combining group as a manual mode, and waiting for receiving a manual adjustment operation instruction.
8. The method of claim 1, said ordering a received new order according to said order-closing decision rule comprising:
acquiring first order information of the new order and second order information of one order in the established order combination group;
judging whether the first order information is matched with the second order information according to the order combination judgment rule;
if yes, adding the new order into the established order combining group, and if not, establishing the new order combining group and adding the new order.
9. The method of claim 8, wherein,
the order combining decision rule comprises: at least one of an address range rule, a time range rule, a customer range rule, a cargo type rule, an order type rule, and a mode of transportation rule.
10. A logistics vehicle dispatching device, comprising:
the order combination processing module is used for setting an order combination judgment rule and carrying out order combination processing on the received new order according to the order combination judgment rule; wherein the order combining process comprises: adding the new order into the established order combining group or newly establishing the order combining group containing the new order;
the vehicle distribution module is used for acquiring the total weight and the total volume of commodities of all orders in the order combining group, judging whether logistics vehicles need to be distributed to the order combining group according to a preset scheduling rule based on the total weight and the total volume of the commodities, if so, acquiring a preset vehicle configuration rule, and executing logistics vehicle distribution processing on the order combining group according to the vehicle configuration rule;
and the merging and combining closing module is used for closing the order merging and combining when the logistics vehicle distribution processing is finished.
11. A logistics vehicle dispatching device, comprising:
a memory; and a processor coupled to the memory, the processor configured to perform the method of any of claims 1-9 based on instructions stored in the memory.
12. A computer-readable storage medium having stored thereon computer instructions for execution by a processor to perform the method of any one of claims 1 to 9.
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