CN113762860A - Logistics fulfillment management method and device - Google Patents
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Abstract
The invention discloses a method and a device for logistics performance management, and relates to the technical field of computers. One embodiment of the method comprises: receiving a logistics fulfillment request; determining the warehouse performance time corresponding to the logistics performance request by utilizing a warehouse computing terminal; determining the distribution time corresponding to the logistics performance request by using a distribution computing terminal; and determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time. According to the embodiment, the warehouse calculation and the distribution calculation are respectively carried out by utilizing the warehouse calculation end and the distribution calculation end, and the performance time of the logistics performance request is integrated and determined according to the results of the warehouse calculation and the distribution calculation, so that the utilization efficiency of the cache can be improved, and the repeated calculation can be reduced.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for logistics fulfillment management.
Background
With the development of the e-commerce, the task volume of the logistics performance is large, and the performance platform gives the user a commitment of time, which is called promise. When a user browses commodities, the user needs to be given a premium, the logistics performance request amount is large, and a performance promise platform needs to consume a large number of servers.
In the current logistics fulfillment platform, the completion of the logistics fulfillment request is generally divided into three layers: a user layer, a gateway layer, and a computing layer, as shown in fig. 1. As shown in fig. 2, the hash of the logistics fulfillment request from the gateway layer to the computation layer is based on packet write death or random, and the cache utilization is low.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for logistics performance management, which respectively use a bin calculating end and a distribution calculating end to perform bin calculation and distribution calculation, and integrate and determine performance time of a logistics performance request according to results of the bin calculation and the distribution calculation, so as to improve utilization efficiency of a cache and reduce repeated calculation.
To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of logistics performance management, including:
receiving a logistics fulfillment request;
determining the warehouse performance time corresponding to the logistics performance request by utilizing a warehouse computing terminal;
determining the distribution time corresponding to the logistics performance request by using a distribution computing terminal;
and determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time.
Optionally, the physical distribution fulfillment request includes: a delivery warehouse; determining, by a bin calculating end, a bin performing time corresponding to the logistics performing request, including:
and determining a target warehouse calculation end according to the delivery warehouse, and determining warehouse performance time corresponding to the logistics performance request by using the target warehouse calculation end.
Optionally, determining a target bin computation end according to the shipment bin includes: and carrying out Hash operation on the delivery warehouse identification of the delivery warehouse, and determining a target warehouse calculation end.
Optionally, the physical distribution fulfillment request includes: a delivery warehouse; determining, by the allocation computing terminal, allocation and performance time corresponding to the logistics performance request, including:
and determining a target matching calculation end according to the delivery warehouse, and determining matching and performing time corresponding to the logistics performing request by using the target matching calculation end.
Optionally, determining a target matching calculation end according to the shipment warehouse includes: and carrying out Hash operation on the delivery address of the delivery warehouse, and determining a target configuration calculation end.
Optionally, the method of the embodiment of the present invention further includes at least one of:
caching the logistics fulfillment request and the warehouse fulfillment time thereof at the warehouse computing terminal;
caching the logistics performance request and the distribution performance time thereof at the distribution computing terminal;
and caching the logistics fulfillment request and the fulfillment time thereof.
Optionally, the physical distribution fulfillment request includes: the time of occurrence; before caching, the method further comprises the following steps: and aligning the occurrence time to time points divided by preset time intervals.
According to still another aspect of an embodiment of the present invention, there is provided an apparatus for logistics performance management, including:
the receiving module is used for receiving the logistics fulfillment request;
the warehouse computing module is used for determining warehouse performance time corresponding to the logistics performance request by utilizing a warehouse computing terminal;
the distribution calculation module is used for determining distribution and performance time corresponding to the logistics performance request by using a distribution calculation terminal;
and the integration module is used for determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time.
Optionally, the physical distribution fulfillment request includes: a delivery warehouse; determining, by a bin calculating end, a bin performing time corresponding to the logistics performing request, including:
and determining a target warehouse calculation end according to the delivery warehouse, and determining warehouse performance time corresponding to the logistics performance request by using the target warehouse calculation end.
Optionally, determining a target bin computation end according to the shipment bin includes: and carrying out Hash operation on the delivery warehouse identification of the delivery warehouse, and determining a target warehouse calculation end.
Optionally, the physical distribution fulfillment request includes: a delivery warehouse; determining, by the allocation computing terminal, allocation and performance time corresponding to the logistics performance request, including:
and determining a target matching calculation end according to the delivery warehouse, and determining matching and performing time corresponding to the logistics performing request by using the target matching calculation end.
Optionally, determining a target matching calculation end according to the shipment warehouse includes: and carrying out Hash operation on the delivery address of the delivery warehouse, and determining a target configuration calculation end.
Optionally, the apparatus of the embodiment of the present invention further includes at least one of:
caching the logistics fulfillment request and the warehouse fulfillment time thereof at the warehouse computing terminal;
caching the logistics performance request and the distribution performance time thereof at the distribution computing terminal;
and caching the logistics fulfillment request and the fulfillment time thereof.
Optionally, the physical distribution fulfillment request includes: the time of occurrence; before caching, the method further comprises the following steps: and aligning the occurrence time to time points divided by preset time intervals.
According to another aspect of the embodiments of the present invention, there is provided an electronic device for logistics performance management, including:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors implement the method for logistics performance management provided by the invention.
According to still another aspect of embodiments of the present invention, there is provided a computer-readable medium on which a computer program is stored, the program, when executed by a processor, implementing the method for logistics performance management provided by the present invention.
One embodiment of the above invention has the following advantages or benefits: the warehouse calculation and the distribution calculation are respectively carried out by utilizing the warehouse calculation end and the distribution calculation end, and the fulfillment time of the logistics fulfillment request is integrated and determined according to the results of the warehouse calculation and the distribution calculation, so that the utilization efficiency of the cache can be improved, and the repeated calculation can be reduced.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is an exemplary system architecture diagram of a method of logistics performance management or an apparatus of logistics performance management suitable for application to an embodiment of the present invention;
FIG. 2 is a diagram illustrating the architecture of logistics performance management in the prior art;
FIG. 3 is a schematic diagram of logistics performance management in the prior art;
FIG. 4 is a schematic diagram of the main flow of the method for logistics performance management according to the embodiment of the invention;
FIG. 5 is a schematic diagram of the architecture of a method for logistics performance management according to an embodiment of the present invention;
fig. 6 is a schematic diagram of main blocks of a device for logistics performance management according to an embodiment of the present invention;
fig. 7 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a diagram illustrating an exemplary system architecture of a method for physical distribution performance management or an apparatus for physical distribution performance management according to an embodiment of the present invention, and as shown in fig. 1, the exemplary system architecture of the method for physical distribution performance management or the apparatus for physical distribution performance management according to an embodiment of the present invention includes:
as shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for shopping-like websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and/or otherwise process the received data, such as the streaming fulfillment request, and feed back the processing result (e.g., fulfillment time of the target product, just an example) to the terminal devices 101, 102, and 103.
It should be noted that the method for logistics performance management provided by the embodiment of the present invention is generally executed by the server 105, and accordingly, the apparatus for logistics performance management is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
As shown in fig. 1, in the current logistics fulfillment platform, the completion of a logistics fulfillment request generally includes three layers: a user layer, a gateway layer, and a computing layer. The hash of the logistics fulfillment request from the gateway layer to the compute layer is either write-dead based on packets or random. Fig. 2 is a schematic diagram of an architecture of a logistics performance management in the prior art, in fig. 2, a hash of a logistics performance request from a gateway layer to a computation layer is written according to a packet, and the logistics performance request is allocated to any one server in the corresponding packet for processing. On one hand, each server in the same group caches the full data of the group, the total cached data volume is small, and the cache hit rate is low. On the other hand, the cache capacity is small, the cache time is short, and the database needs to be accessed again after the cache fails. Therefore, the logistics fulfillment platform in the prior art has a large repeated calculation amount and a low cache utilization rate.
In order to solve the above-mentioned deficiencies in the prior art, the present invention repartitions system responsibilities. Fig. 4 is a schematic diagram of a main flow of a method for logistics performance management according to an embodiment of the present invention, and as shown in fig. 4, the method for logistics performance management includes step S401, step S402, step S403, and step S404.
Step S401, receiving a material flow performing request.
The physical distribution fulfillment request is a request for determining fulfillment time of a product. The fulfillment time refers to the expected delivery time of the product after the order is placed by the user.
Step S402, determining the warehouse performance time corresponding to the logistics performance request by utilizing the warehouse computing terminal.
The warehouse calculation refers to a process of calculating delivery time of the aging products according to parameter information such as order occurrence time, the aging products, the production wave times of the delivery warehouse and the like. The bin computation end refers to a background server end used for performing bin computation, and the background server end can be a server or a server cluster. The warehouse performance time refers to the delivery time of the product and is mainly determined by the shift of the delivery warehouse. The calculation logic for determining the delivery time of the aged product may be selectively set according to actual conditions, for example, the end time of the wave number after the occurrence time is taken as the time for the end of the warehouse packaging.
In an alternative embodiment, the physical distribution fulfillment request includes an shipment warehouse, and determining, by the warehouse computing terminal, a warehouse fulfillment time corresponding to the physical distribution fulfillment request includes: and determining a target warehouse calculation end according to the delivery warehouse, and determining warehouse performance time corresponding to the logistics performance request by using the target warehouse calculation end. Each delivery warehouse can uniquely correspond to one warehouse calculation end, and all the logistics performance requests corresponding to the delivery warehouse are subjected to warehouse calculation by the warehouse calculation end. For example, a one-to-one mapping relation between the shipment cabin and the cabin computing end is predetermined, and the target cabin computing end is determined according to the mapping relation; or carrying out Hash operation on the delivery warehouse identification of the delivery warehouse, and determining a target warehouse calculation end. Therefore, the cache utilization rate of the bin computing cluster can be further improved, and repeated computing is reduced.
Taking the architecture shown in fig. 5 as an example, hash operation is performed between the Gateway and the background computing according to the delivery warehouse, and the logistics fulfillment request uniquely falls to a certain server for allocation computing. And a hash is adopted to the server, and a proper communication mode needs to be selected. In the present invention, socket communication can be performed using Netty. Netty is an open source communication component.
Step S403, determining, by using the distribution computing end, a distribution and performance time corresponding to the logistics performance request.
The contract time, also called route aging, refers to a length of time from the shipping address to the destination address. The distribution calculation refers to a process of calculating distribution and performance time according to parameter information such as the aged products, the delivery addresses of the delivery warehouses, the harvesting addresses and the like. The configuration computing end refers to a background server end for performing configuration computing, and the background server end may be a server or a server cluster.
In an alternative embodiment, the physical distribution fulfillment request includes an shipment warehouse, and determining, by the allocation computing terminal, an allocation fulfillment time corresponding to the physical distribution fulfillment request includes: and determining a target distribution calculation end according to the delivery warehouse, and determining distribution and performance time corresponding to the logistics performance request by using the target distribution calculation end. Each delivery warehouse can uniquely correspond to one matching calculation end, and all the logistics performance requests corresponding to the delivery warehouse are subjected to matching calculation by the matching calculation end. For example, a one-to-one mapping relation between the delivery warehouse and the distribution calculation end is predetermined, and a target distribution calculation end is determined according to the mapping relation; or carrying out Hash operation on the delivery address of the delivery warehouse and determining a target configuration calculation end. Therefore, the cache utilization rate of the distributed computing cluster can be further improved, and repeated computing is reduced.
Taking the architecture shown in fig. 5 as an example, hash operation is performed between the Gateway and the background computing according to the shipping address of the shipping warehouse, and the logistics fulfillment request uniquely falls to a certain server for allocation and computation. And a hash is adopted to the server, and a proper communication mode needs to be selected. In the present invention, socket communication can be performed using Netty. Netty is an open source communication component.
Step S404, determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time. Specifically, the fulfillment time is equal to the warehouse fulfillment time plus the orchestration time.
As shown in fig. 5, the role of the gateway layer in the embodiment of the present invention is different from that of the current technology. The gateway layer of the embodiment of the invention is a service-related integration layer and performs functions of blacklist filtering and integration bin calculation and allocation calculation. By separating the bin calculation and the allocation calculation, the bin calculation end is responsible for the bin calculation without caching the parameter information related to the allocation calculation, the allocation calculation end is responsible for the allocation calculation without caching the parameter information related to the bin calculation, the cache data amount of the bin calculation and the allocation calculation and the cache time of the cached data can be increased, the cache hit rate is improved, and the repeated calculation is reduced.
The method of the embodiment of the invention may further comprise at least one of the following:
the logistics fulfillment request and its fulfillment time are cached. After receiving a logistics fulfillment request each time, inquiring whether fulfillment time corresponding to the logistics fulfillment request exists or not from a local cache of a gateway layer, if so, directly returning an inquired result to a user layer, otherwise, calling a warehouse computing end and a matching computing end to perform computing, and returning a computing result to the gateway layer after integrating the computing result;
and caching the logistics performance request and the warehouse performance time at the warehouse computing end. After receiving a logistics fulfillment request each time, inquiring whether a warehouse fulfillment time corresponding to the logistics fulfillment request exists from a warehouse computing terminal, if so, directly returning an inquired result to a gateway layer, otherwise, calling a warehouse computing logic to perform computing and returning a computing result to the gateway layer;
and caching the logistics performance request and the distribution performance time at the distribution computing terminal. After receiving a logistics performance request each time, firstly inquiring whether a configuration performance time corresponding to the logistics performance request exists from a configuration computing terminal, if so, directly returning the inquired result to a gateway layer, otherwise, calling a configuration computing logic to perform computation and then returning the computed result to the gateway layer.
In the prior art, the calculation result is not cached usually because the occurrence time of the logistics performance request changes rapidly. According to the embodiment of the invention, the cache utilization rate is improved and repeated calculation can be reduced by caching the calculation results of calculation logics such as integration calculation, bin calculation, allocation calculation and the like.
Further, the physical distribution fulfillment request includes an occurrence time. Before caching, the method can further comprise: the occurrence time is aligned to time points divided by a preset time interval. In the alignment process, the occurrence time is generally aligned backward. For example, time of occurrence is aligned to an integer point, or a minimum granularity of a wave (e.g., half an hour, etc.) where WMS processes orders with the same characteristic or characteristics collectively is a so-called wave. Illustratively, order 1 has a time of occurrence of 11:52, aligned to 12:00 after the hour; order 2 occurred at 10:42, aligned to 11:00 after the minimum force of wave (half an hour). Through alignment processing, the cache strategy can be optimized, and the utilization rate of the cache is improved.
In the actual application process, the expiration time, the warehouse wave frequency, the route aging and the like can be set for the cached data according to the application scene, and different expiration times can be set for different cached data according to the application scene. For example, the time span of the wave time is smaller in the spring time, for example, the corresponding route is aged due when some routes are not passed.
According to still another aspect of an embodiment of the present invention, there is provided an apparatus for implementing the above method.
Fig. 6 is a schematic diagram of main blocks of a device for logistics performance management according to an embodiment of the present invention. As shown in fig. 6, the apparatus 600 for logistics performance management includes:
a receiving module 601, configured to receive a physical distribution performing request;
a warehouse computing module 602, configured to determine, by using a warehouse computing end, a warehouse performance time corresponding to the logistics performance request;
the distribution calculation module 603 determines distribution and performance time corresponding to the logistics performance request by using a distribution calculation terminal;
an integrating module 604, determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time.
Optionally, the physical distribution fulfillment request includes: a delivery warehouse; determining, by a bin calculating end, a bin performing time corresponding to the logistics performing request, including:
and determining a target warehouse calculation end according to the delivery warehouse, and determining warehouse performance time corresponding to the logistics performance request by using the target warehouse calculation end.
Optionally, determining a target bin computation end according to the shipment bin includes: and carrying out Hash operation on the delivery warehouse identification of the delivery warehouse, and determining a target warehouse calculation end.
Optionally, the physical distribution fulfillment request includes: a delivery warehouse; determining, by the allocation computing terminal, allocation and performance time corresponding to the logistics performance request, including:
and determining a target matching calculation end according to the delivery warehouse, and determining matching and performing time corresponding to the logistics performing request by using the target matching calculation end.
Optionally, determining a target matching calculation end according to the shipment warehouse includes: and carrying out Hash operation on the delivery address of the delivery warehouse, and determining a target configuration calculation end.
Optionally, the apparatus of the embodiment of the present invention further includes at least one of:
caching the logistics fulfillment request and the warehouse fulfillment time thereof at the warehouse computing terminal;
caching the logistics performance request and the distribution performance time thereof at the distribution computing terminal;
and caching the logistics fulfillment request and the fulfillment time thereof.
Optionally, the physical distribution fulfillment request includes: the time of occurrence; before caching, the method further comprises the following steps: and aligning the occurrence time to time points divided by preset time intervals.
Fig. 7 is a schematic structural diagram of a computer system suitable for implementing a terminal device according to an embodiment of the present invention, and as shown in fig. 7, a computer system 700 of a terminal device according to an embodiment of the present invention includes:
a Central Processing Unit (CPU)701 is included, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data necessary for the operation of the system 700 are also stored. The CPU701, the ROM702, and the RAM703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, 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, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor includes a receiving module, a bin computation module, a configuration computation module, and an integration module. Wherein the names of these modules do not constitute a limitation to the module itself in some cases, for example, the receiving module may also be described as a "module for determining a fulfillment time of the material flow fulfillment request according to the fulfillment time and the fulfillment time".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: determining the warehouse performance time corresponding to the logistics performance request by utilizing a warehouse computing terminal; determining the distribution time corresponding to the logistics performance request by using a distribution computing terminal; and determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time.
According to the technical scheme of the embodiment of the invention, the warehouse calculation and the distribution calculation are respectively carried out by utilizing the warehouse calculation end and the distribution calculation end, and the performance time of the logistics performance request is integrated and determined according to the results of the warehouse calculation and the distribution calculation, so that the utilization efficiency of the cache can be improved, and the repeated calculation can be reduced.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A method for logistics performance management, comprising:
receiving a logistics fulfillment request;
determining the warehouse performance time corresponding to the logistics performance request by utilizing a warehouse computing terminal;
determining the distribution time corresponding to the logistics performance request by using a distribution computing terminal;
and determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time.
2. The method of claim 1, wherein the stream fulfillment request comprises: a delivery warehouse; determining, by a bin calculating end, a bin performing time corresponding to the logistics performing request, including:
and determining a target warehouse calculation end according to the delivery warehouse, and determining warehouse performance time corresponding to the logistics performance request by using the target warehouse calculation end.
3. The method of claim 2, wherein determining a target bin computation end from the shipment bin comprises: and carrying out Hash operation on the delivery warehouse identification of the delivery warehouse, and determining a target warehouse calculation end.
4. The method of claim 1, wherein the stream fulfillment request comprises: a delivery warehouse; determining, by the allocation computing terminal, allocation and performance time corresponding to the logistics performance request, including:
and determining a target matching calculation end according to the delivery warehouse, and determining matching and performing time corresponding to the logistics performing request by using the target matching calculation end.
5. The method of claim 4, wherein determining a target mating calculation end from the shipment bin comprises: and carrying out Hash operation on the delivery address of the delivery warehouse, and determining a target configuration calculation end.
6. The method of any one of claims 1-5, further comprising at least one of:
caching the logistics fulfillment request and the warehouse fulfillment time thereof at the warehouse computing terminal;
caching the logistics performance request and the distribution performance time thereof at the distribution computing terminal;
and caching the logistics fulfillment request and the fulfillment time thereof.
7. The method of claim 6, wherein the stream fulfillment request comprises: the time of occurrence; before caching, the method further comprises the following steps: and aligning the occurrence time to time points divided by preset time intervals.
8. An apparatus for logistics performance management, comprising:
the receiving module is used for receiving the logistics fulfillment request;
the warehouse computing module is used for determining warehouse performance time corresponding to the logistics performance request by utilizing a warehouse computing terminal;
the distribution calculation module is used for determining distribution and performance time corresponding to the logistics performance request by using a distribution calculation terminal;
and the integration module is used for determining the fulfillment time of the logistics fulfillment request according to the warehouse fulfillment time and the distribution fulfillment time.
9. An electronic device for logistics performance management, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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