Information processing method and apparatus, device, medium, and program product

Abstract

The present disclosure provides an information processing method and apparatus, a device, a medium, and a program product, which can be applied in the field of intelligent logistics. The method comprises: in response to a plurality of received target internal allocation orders, on the basis of internal allocation order information of each target internal allocation order, performing order aggregation processing on the plurality of target internal allocation orders to obtain a target aggregated order; on the basis of aggregated order information of the target aggregated order, determining a transportation network for transporting goods in the target aggregated order; configuring a processing timeliness for the target aggregated order on the basis of the transportation network and warehouse information in the aggregated order information, wherein the processing timeliness comprises a transportation processing timeliness and a warehouse processing timeliness; and correspondingly issuing a warehouse processing task and a transportation processing task that are generated on the basis of the processing timeliness to a warehouse management system and a transportation management system, so as to monitor the processing of the target aggregated order on the basis of the processing timeliness.

Description

Information processing method, device, equipment, medium and program product

[0001] The present application claims priority to Chinese Patent Application No. 202410773032.9, filed on June 14, 2024, the entire contents of which are incorporated herein by reference. TECHNICAL FIELD

[0002] The present disclosure relates to the field of intelligent logistics, and more particularly, to an information processing method, device, equipment, medium and program product. BACKGROUND

[0003] At present, the supplier procurement is generally sent to the regional distribution center first, and then the goods are replenished to the front-end logistics center through the internal distribution mode, and finally sold and warehoused to the customers. In the related art, after creating the internal distribution order, the originating warehouse produces the internal distribution order. However, the warehouse will first prioritize the production of the customer order, and the production of the internal distribution order will be delayed. After the warehouse production is completed, the transportation demand is issued to the transportation system to transport the goods.

[0004] In the process of implementing the present disclosure, the inventors found that at least the following problems exist in the related art. Since the warehouse is difficult to control the production rhythm of the internal distribution order when producing the goods, and the waiting time of the transportation system is also relatively long, the processing efficiency of the order is low. SUMMARY

[0005] The present disclosure provides an information processing method, device, equipment, medium and program product.

[0006] One aspect of the present disclosure provides an information processing method, comprising: in response to a plurality of target internal distribution orders received, based on the internal distribution order information of each target internal distribution order, performing set order processing on a plurality of target internal distribution orders to obtain a target set order; determining a transportation network for transporting the goods in the target set order according to the set order information of the target set order; based on the transportation network and the warehouse information in the set order information, configuring the processing time limit of the target set order, wherein the processing time limit includes a transportation processing time limit and a warehouse processing time limit; issuing the warehouse processing task and the transportation processing task generated based on the processing time limit to the warehouse management system and the transportation management system, respectively, to monitor the processing of the target set order based on the processing time limit.

[0007] According to an embodiment of the present disclosure, the order information of each of the target in-warehouse orders is used to process the multiple target in-warehouse orders in a batch to obtain a target batch order, which includes determining the in-warehouse order information and a batch order time of each of the target in-warehouse orders, wherein the in-warehouse order information includes a starting warehouse, a destination warehouse, and a cargo volume; calling a batch service to combine target in-warehouse orders with the same starting warehouse, destination warehouse, and batch order time into a batch order set; determining a total cargo volume of the batch order set according to the cargo volume of each target in-warehouse order in the batch order set; and generating the target batch order based on the batch order set when the batch order time in the batch order set is reached at the current time or when the total cargo volume reaches a preset volume.

[0008] According to an embodiment of the present disclosure, the order information of each of the target in-warehouse orders is used to process the multiple target in-warehouse orders in a batch to obtain a target batch order, which includes determining the in-warehouse order information and a batch order time of each of the target in-warehouse orders, wherein the in-warehouse order information includes a starting warehouse, a destination warehouse, and a cargo volume; calling a batch service to combine target in-warehouse orders with the same starting warehouse, destination warehouse, and batch order time into a batch order set; determining a total cargo volume of the batch order set according to the cargo volume of each target in-warehouse order in the batch order set; and generating the target batch order based on the batch order set when the batch order time in the batch order set is reached at the current time or when the total cargo volume reaches a preset volume.

[0009] According to an embodiment of the present disclosure, the warehouse processing time includes a warehouse production time, a warehouse distribution handover time, and a warehouse shelving time, and the processing time of the target batch order is configured based on the transport network and the warehouse information in the batch order information, which includes determining the warehouse production time and the warehouse distribution handover time based on the historical production time and the historical handover time corresponding to the starting warehouse and the destination warehouse in the warehouse information; determining a transport processing time of the target batch order based on the historical transport time of the cargo from the starting warehouse to the destination warehouse according to the transport network; determining a warehouse shelving time of the target batch order based on the historical shelving time of the starting warehouse in the warehouse information; and configuring the processing time of the target batch order according to the order time of the target batch order and the warehouse production time, the transport processing time, and the warehouse shelving time.

[0010] According to an embodiment of the present disclosure, the method further comprises: determining a production end time based on the order placement time and the warehouse production time limit; determining a predicted pick-up time based on the production end time and the warehouse and transportation handover time limit; generating a warehouse processing task according to the set order information, the transportation network, the production end time, and the predicted pick-up time; determining a predicted delivery time based on the predicted pick-up time and the transportation processing time limit; determining a predicted shelving time based on the predicted delivery time and the warehouse shelving time limit; and generating a transportation processing task according to the set order information, the transportation network, the predicted delivery time, and the predicted shelving time.

[0011] According to an embodiment of the present disclosure, the warehouse processing task and the transportation processing task generated based on the processing time limit are correspondingly issued to the warehouse management system and the transportation management system to monitor the processing of the target set order based on the processing time limit, which comprises: issuing the warehouse processing task to the warehouse management system to monitor the processing of the target set order based on the production end time and the predicted pick-up time; and issuing the transportation processing task to the transportation management system to monitor the processing of the target set order based on the predicted delivery time and the predicted shelving time.

[0012] According to an embodiment of the present disclosure, the method further comprises: determining a production wave of the warehouse processing task according to the production cut-off time in the warehouse processing task when the warehouse management system receives the warehouse processing task; and distributing the warehouse processing task according to the production wave to process the warehouse processing task.

[0013] Another aspect of the present disclosure provides an information processing device, which comprises: a set order processing module configured to process a plurality of target intra-distribution orders based on intra-distribution order information of each of the target intra-distribution orders to obtain a target set order in response to the received target intra-distribution orders; a transportation determination module configured to determine a transportation network for transporting goods in the target set order according to set order information of the target set order; a time limit configuration module configured to configure a processing time limit of the target set order based on the transportation network and warehouse information in the set order information, wherein the processing time limit comprises a transportation processing time limit and a warehouse processing time limit; and a task issuing module configured to correspondingly issue a warehouse processing task and a transportation processing task generated based on the processing time limit to a warehouse management system and a transportation management system to monitor the processing of the target set order based on the processing time limit.

[0014] Another aspect of the present disclosure provides a computer readable storage medium storing computer executable instructions that, when executed, perform a method as described above.

[0015] Another aspect of the present disclosure provides a computer program product comprising computer executable instructions that, when executed, perform a method as described above. BRIEF DESCRIPTION OF DRAWINGS

[0016] The above and other objects, features and advantages of the present disclosure will become more apparent from the following description when taken in conjunction with the accompanying drawings, in which:

[0017] FIG. 1 schematically illustrates an exemplary system architecture to which the information processing method and apparatus of the present disclosure can be applied;

[0018] FIG. 2 schematically illustrates a flowchart of an information processing method according to an embodiment of the present disclosure;

[0019] FIG. 3 schematically illustrates a diagram of multi-network coordination processing in an information processing method according to an embodiment of the present disclosure;

[0020] FIG. 4 schematically illustrates a processing architecture diagram of an information processing method according to another embodiment of the present disclosure;

[0021] FIG. 5 schematically illustrates a block diagram of an information processing apparatus according to an embodiment of the present disclosure; and

[0022] FIG. 6 schematically illustrates a block diagram of an electronic device suitable for implementing an information processing method according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0023] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It is to be understood, however, that the description is merely exemplary and is intended to provide a thorough understanding of the present disclosure. The following description, given together with the accompanying drawings, is intended to provide a thorough understanding of the present disclosure. However, it is apparent that one or more embodiments can be implemented without the specific details, as is apparent to those skilled in the art.

[0024] The terms used herein are merely used to describe specific embodiments and are not intended to limit the present disclosure. The terms "include", "comprise" and the like used herein indicate the presence of the described features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.

[0025] All terms used herein, including technical and scientific terms, have the meanings commonly understood by one of ordinary skill in the art, unless otherwise defined. It should be noted that the use of any terms herein should not be interpreted to imply a certain technical detail or method unless otherwise defined. Technical and scientific terms used herein have the same meanings as commonly understood by one of ordinary skill in the art to which this specification belongs.

[0026] In the case of using expressions similar to "at least one of A, B, and C, etc.", it should generally be interpreted to include any of them alone, any combination of them, etc. (for example, "a system having at least one of A, B, and C" should include a system having A alone, a system having B alone, a system having C alone, a system having A and B together, a system having A and C together, a system having B and C together, and / or a system having A, B, and C together, etc.).

[0027] In embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the data involved (for example, including but not limited to user personal information) comply with relevant laws and regulations, are used for legal purposes, and do not violate public order and good customs. In particular, necessary measures have been taken to prevent illegal access to user personal information data, to maintain user personal information security, network security, and national security.

[0028] In embodiments of the present disclosure, the authorization or consent of the user is obtained before the user's personal information is acquired or collected.

[0029] At present, the general process of supplier procurement is to first send goods to an RDC warehouse (Regional Distribution Center), and then replenish goods to an FDC warehouse (Front Distribution Center) through internal distribution, and finally sell and warehouse to customers. However, the time efficiency of internal distribution is usually about 3-5 days, which is relatively long.

[0030] In the related art, an internal distribution order is created in the internal distribution system, and then the originating warehouse (WMS, Warehouse Management System) receives the internal distribution order and produces the internal distribution order, including wave scheduling, task allocation, picking, review, and shipping actions. However, the production of the internal distribution order does not have a time efficiency requirement at this time, and the warehouse will first produce the customer order, and then produce the internal distribution order at night. After the warehouse production is completed, the transportation demand is issued to the TMS (transportation management system) transportation system, and the TMS generates a transportation plan and a transportation task according to the transportation demand, and then dispatches vehicles and personnel for goods transportation. After the goods are transported to the destination warehouse, the destination warehouse performs acceptance and shelving. After shelving is completed, the goods can be sold in the mall.

[0031] Since the production in related art has no time limit control, the production rhythm is uncontrollable, thereby causing the overall time limit of the in-filling replenishment to be long. And the transportation demand is created after the warehouse production is completed, then the plan and task are generated again according to the demand, then the vehicle and personnel are dispatched, and the vehicle goes to the starting warehouse to pick up the goods, which consumes a relatively long time.

[0032] Embodiments of the present disclosure provide an information processing method, device, equipment, medium and program product. The method comprises: in response to a plurality of target in-filling orders received, performing a set order processing on the plurality of target in-filling orders based on in-filling order information of each target in-filling order to obtain a target set order; determining a transportation network for transporting goods in the target set order according to set order information of the target set order; configuring a processing time limit of the target set order based on the transportation network and warehouse information in the set order information, wherein the processing time limit comprises a transportation processing time limit and a warehouse processing time limit; and issuing a warehouse processing task and a transportation processing task generated based on the processing time limit to a warehouse management system and a transportation management system correspondingly, so as to monitor the processing of the target set order based on the processing time limit.

[0033] FIG. 1 schematically shows an exemplary system architecture to which the information processing method and device of the present disclosure can be applied. It should be noted that FIG. 1 only shows an example of the system architecture to which the embodiments of the present disclosure can be applied, to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.

[0034] As shown in FIG. 1, the system architecture 100 according to the embodiment can include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used as a medium to provide a communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 can include various connection types, such as wired and / or wireless communication links, etc.

[0035] A user can use the terminal devices 101, 102, 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications can be installed on the terminal devices 101, 102, 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients and / or social platform software, etc. (only as examples).

[0036] The terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smartphones, tablet computers, laptop computers and desktop computers, etc.

[0037] The server 105 can be a server that provides various services, such as a background management server that provides support for a website browsed by a user using the terminal device 101, 102, or 103 (as an example). The background management server can perform analysis and the like on received user requests and the like, and feed back a processing result (such as a webpage, information, or data obtained or generated according to a user request) to the terminal device.

[0038] It should be noted that the information processing method provided by the embodiments of the present disclosure can generally be executed by the server 105. Accordingly, the information processing apparatus provided by the embodiments of the present disclosure can generally be arranged in the server 105. The information processing method provided by the embodiments of the present disclosure can also be executed by a server or a server cluster different from the server 105 and capable of communicating with the terminal device 101, 102, or 103 and / or the server 105. Accordingly, the information processing apparatus provided by the embodiments of the present disclosure can also be arranged in a server or a server cluster different from the server 105 and capable of communicating with the terminal device 101, 102, or 103 and / or the server 105. Alternatively, the information processing method provided by the embodiments of the present disclosure can also be executed by the terminal device 101, 102, or 103, or by another terminal device different from the terminal device 101, 102, or 103. Accordingly, the information processing apparatus provided by the embodiments of the present disclosure can also be arranged in the terminal device 101, 102, or 103, or in another terminal device different from the terminal device 101, 102, or 103.

[0039] It should be understood that the number of terminal devices, networks, and servers in FIG. 1 is merely illustrative. Any number of terminal devices, networks, and servers can be provided as needed.

[0040] FIG. 2 schematically shows a flowchart of an information processing method according to an embodiment of the present disclosure.

[0041] As shown in FIG. 2, the method includes operations S210-S240.

[0042] At operation S210, in response to the received multiple target in-store orders, based on in-store order information of each target in-store order, the multiple target in-store orders are processed in a set order to obtain a target set order.

[0043] At operation S220, according to set order information of the target set order, a transportation network for transporting goods in the target set order is determined.

[0044] At operation S230, based on the transportation network and warehouse information in the set order information, a processing time limit of the target set order is configured, wherein the processing time limit includes a transportation processing time limit and a warehouse processing time limit.

[0045] In operation S240, the warehouse processing task and the transportation processing task generated based on the processing time limit are correspondingly issued to the warehouse management system and the transportation management system, so as to monitor the processing of the target set order based on the processing time limit.

[0046] According to an embodiment of the present disclosure, after receiving a plurality of target in-facility orders created by the in-facility system, in-facility order information of each target in-facility order is determined. According to the in-facility order information of each target in-facility order, the plurality of target in-facility orders are processed in a set order. Specifically, the target in-facility orders with the same information in the in-facility order information can be combined, so as to obtain a target set order.

[0047] According to an embodiment of the present disclosure, according to the set order information of the target set order, a transportation network for transporting goods in the target set order is determined. The transportation network includes a transfer network and a direct delivery network. Specifically, the appropriate transportation network can be selected according to the volume and weight of the goods. In the process of transporting the goods, various transportation modes are supported, and the appropriate vehicle meeting the requirements can be selected in the vehicle scheduling, so as to indirectly ensure the time limit of the goods transportation.

[0048] According to an embodiment of the present disclosure, warehouse information in the set order information is determined, wherein the warehouse information includes a starting distribution center, a starting warehouse, a destination distribution center and a destination warehouse. Since the production time limit of different warehouses is different, and in the process of transportation, the starting warehouse and the destination warehouse are far apart, the transportation time limit for transporting the goods is longer. Therefore, the processing time limit of the target set order can be configured based on the warehouse information and the transportation network. Specifically, the warehouse processing time limit and the transportation processing time limit are configured respectively, and the processing of the target set order is monitored from multiple aspects.

[0049] According to an embodiment of the present disclosure, the target set order can be sent to the warehouse management system first, and the transportation demand is issued to the transportation management system, so as to generate a warehouse processing task based on the warehouse processing time limit in the warehouse management system, and generate a transportation processing task based on the transportation processing time limit in the transportation management system. The warehouse processing task and the transportation processing task are issued to the warehouse management system and the transportation management system respectively, so that the transportation management system does not need to wait for the warehouse management system to complete the processing of the target set order before receiving the transportation processing task for processing, which effectively improves the processing efficiency. The transportation processing task is issued in advance, which shortens the time for the warehouse to wait for the vehicle for transportation after the production of the goods is completed, and the goods can be directly shipped and transported after the production of the warehouse is completed.

[0050] According to an embodiment of the present disclosure, the multiple target in-facility orders are processed in a set order to form a target set order, so as to facilitate the processing of the warehouse and speed up the processing time. After determining the transportation network of the target set order, the processing time of the target set order is configured based on the transportation network and the warehouse information, so that the processing of the target set order can be monitored based on the processing time, and the stability of the order processing time is ensured. The warehouse processing task and the transportation processing task are correspondingly issued to the warehouse management system and the transportation management system, and by issuing the transportation processing task in advance, the time for the warehouse to wait for the vehicle after the goods are produced is shortened, and the processing efficiency of the task is effectively improved.

[0051] According to an embodiment of the present disclosure, based on the in-facility order information of each target in-facility order, the multiple target in-facility orders are processed in a set order to obtain a target set order, including: determining the in-facility order information and the set order cutting time of each target in-facility order, wherein the in-facility order information includes the origin warehouse, the destination warehouse and the volume of the goods; calling a set order service to combine the target in-facility orders with the same origin warehouse, destination warehouse and set order cutting time in a set order set; determining the total volume of the set order set according to the volume of the goods of each target in-facility order in the set order set; and generating the target set order based on the set order set in the case that the set order cutting time in the set order set is reached at the current time or the total volume of the goods reaches a preset volume.

[0052] According to an embodiment of the present disclosure, after receiving the target in-facility order, the time limit calculation system is called to obtain the set order cutting time of the target in-facility order, and the set order cutting time limit configuration of the target in-facility order is as shown in Table 1.

[0053] Table 1

[0054]

[0055] According to an embodiment of the present disclosure, after obtaining the set order cutting time of the target in-facility order, the set order service of the set control order is called to combine the target in-facility orders with the same origin warehouse, destination warehouse and set order cutting time in a set order set. When the time reaches the set order cutting time or the volume of all target in-facility orders in the set order set exceeds 4 cubic meters without reaching the set order cutting time, the set order is considered to be successful, and the target set order is generated based on the set order set. By combining multiple target in-facility orders into a target set order, the processing of the warehouse is facilitated, and the processing time is speeded up.

[0056] According to an embodiment of the present disclosure, the transport network for transporting the goods in the target set order is determined according to set order information of the target set order, comprising: determining a network division configuration rule for the target set order based on the origin warehouse and the destination warehouse in the set order information; analyzing the volume of the goods and the weight of the goods in the set order information by using the network division configuration rule to obtain an analysis result, wherein the network division configuration rule includes a weight division range and a volume division range; determining the transport network for transporting the goods in the target set order based on the range belonging condition of the volume of the goods and the weight of the goods in the analysis result, wherein the transport network includes a transfer network and a direct delivery network.

[0057] According to an embodiment of the present disclosure, the network division configuration rule for the target set order is determined based on the origin warehouse and the destination warehouse in the set order information. Since the distance between different origin warehouses and destination warehouses is different in the process of transportation, the network division configuration rule will also change when the origin warehouse and the destination warehouse change.

[0058] According to an embodiment of the present disclosure, the main logic of the transport network is to determine the transport network according to the origin warehouse, the destination warehouse, the volume of the goods and the weight of the goods. The volume of the goods and the weight of the goods in the set order information are analyzed by using the network division configuration rule, and the transport network for transporting the goods in the target set order is determined based on the range belonging condition of the volume of the goods and the weight of the goods in the analysis result.

[0059] Table 2

[0060]

[0061] As shown in Table 2, from the regional 1 supermarket leisure warehouse 1 to the regional 2 FDC warehouse, when the weight is less than 1000KG and the volume is 100 cubic meters, the transfer network is used for transportation, and when the weight is between 1000-5000KG and the volume is between 100-300 cubic meters, the direct delivery network is used. After the transport network is determined, the configuration state can be modified to an enabled state. By determining the transport network, different transport networks correspond to goods of different volume and weight of goods, which indirectly ensures the timeliness of the goods transportation.

[0062] According to an embodiment of the present disclosure, the warehouse processing time limit includes a warehouse production time limit, a warehouse-transportation handover time limit, and a warehouse shelving time limit. The processing time limit of the target set order is configured based on the transportation network and the warehouse information in the set order information, including: determining the warehouse production time limit for producing the target set order and the warehouse-transportation handover time limit for producing and handing over based on the historical production duration and the historical handover duration corresponding to the starting warehouse and the destination warehouse in the warehouse information; determining the transportation processing time limit for transporting the goods in the target set order according to the historical transportation duration of transporting the goods from the starting warehouse to the destination warehouse based on the transportation network; determining the warehouse shelving time limit for shelving the target set order based on the historical shelving duration of the starting warehouse in the warehouse information; and configuring the processing time limit of the target set order according to the order placement time of the target set order and the warehouse production time limit, the transportation processing time limit, and the warehouse shelving time limit.

[0063] According to an embodiment of the present disclosure, the configuration of the processing time limit mainly includes the warehouse production time limit, the warehouse-transportation handover time limit, the warehouse shelving time limit, and the transportation processing time limit.

[0064] As shown in Table 3, the warehouse production time limit and the warehouse-transportation handover time limit are configured, specifically, can be configured according to the historical production duration and the historical handover duration of the starting warehouse and the destination warehouse.

[0065] Table 3

[0066]

[0067] As shown in Table 4, the transportation processing time limit is configured, specifically, can be configured based on the historical transportation duration of transporting the goods from the starting warehouse to the destination warehouse based on the transportation network.

[0068] Table 4

[0069]

[0070] As shown in Table 5, the warehouse shelving time limit is configured, specifically, can be configured based on the historical shelving duration of the starting warehouse.

[0071] Table 5

[0072]

[0073] According to an embodiment of the present disclosure, the order placement time of the target set order, that is, the time when the order set is completed, is determined. The processing time limit of the target set order is configured according to the order placement time of the target set order and the warehouse production time limit, the transportation processing time limit, and the warehouse shelving time limit. By configuring the processing time limit, the processing of the target set order can be monitored, and the stability of the order processing time limit is ensured.

[0074] FIG. 3 schematically shows a multi-network collaborative processing diagram in an information processing method according to an embodiment of the present disclosure.

[0075] As shown in FIG. 3, the information processing method mainly processes the target collection order through multi-network collaboration. Specifically, it includes the following steps: an internal allocation system 301, an internal allocation order fulfillment control system 302, a transportation sub-network system 303, a time limit calculation system 304, a WMS originating warehouse 305, a TMS system 306, and a WMS destination warehouse 307.

[0076] The internal allocation system 301 creates a target internal allocation order and then issues the target internal allocation order to the internal allocation order fulfillment control system 302.

[0077] The internal allocation order fulfillment control system 302 is responsible for the collection processing of the target internal allocation order and generates a collection wave. The transportation sub-network system 303 is controlled to determine the transportation network of the target collection order and stores it. The time limit calculation system 304 is controlled to configure and calculate the processing time limit, and the calculated time limit result is stored. After the time limit result is stored, the transportation demand is issued to the TMS system 306, and the order is issued to the WMS originating warehouse 305.

[0078] After the WMS originating warehouse 305 receives the order, the WMS originating warehouse 305 arranges the internal allocation wave, generates an internal allocation task to produce the goods, picks the goods after production, and performs internal allocation review based on the order information. After the review is passed, the internal allocation delivery is performed.

[0079] After the TMS system 306 receives the transportation demand, the transportation plan and transportation task are generated. The relevant personnel pick up the goods at the WMS originating warehouse 305 based on the transportation task, thereby transporting the goods. The WMS destination warehouse 307 receives the goods and performs acceptance and shelves the goods in the warehouse.

[0080] According to the embodiments of the present disclosure, the production time limit of the WMS originating warehouse is controlled by the time limit calculation system to strictly control the production of the warehouse and perform production overtime assessment. The transportation demand is issued in advance to shorten the time for waiting for vehicle transportation after the production of the warehouse is completed, so that the goods can be directly delivered and transported after the production of the warehouse is completed. Multiple transportation modes are supported, and the expected destination warehouse arrival time and the expected shelving time are recorded on the transportation demand, so that a more suitable vehicle that meets the requirements can be selected when the vehicle is dispatched, thereby indirectly ensuring the time limit for replenishment.

[0081] According to an embodiment of the present disclosure, the information processing method further comprises: determining a production end time based on the order time and the warehouse production time limit; determining an estimated pickup time based on the production end time and the warehouse-to-transportation handover time limit; generating a warehouse processing task according to the aggregated order information, the transportation network, the production end time, and the estimated pickup time; determining an estimated delivery time based on the estimated pickup time and the transportation processing time limit; determining an estimated shelving time based on the estimated delivery time and the warehouse shelving time limit; and generating a transportation processing task according to the aggregated order information, the transportation network, the estimated delivery time, and the estimated shelving time.

[0082] According to an embodiment of the present disclosure, after the order time is determined, the warehouse production time limit is added to the order time to obtain the production end time. Similarly, the warehouse-to-transportation handover time limit is added to the production end time to obtain the estimated pickup time. According to the order number, the origin distribution center, the origin warehouse, the destination distribution center, the destination warehouse in the aggregated order information, and the transportation network, the production end time, and the estimated pickup time, the warehouse processing task is generated, as shown in Table 6.

[0083] Table 6

[0084]

[0085] According to an embodiment of the present disclosure, in the process of generating the transportation processing task, the transportation processing time limit is added to the estimated pickup time to obtain the estimated delivery time. Similarly, the warehouse shelving time limit is added to the estimated delivery time to obtain the estimated shelving time. According to the origin distribution center, the origin warehouse, the destination distribution center, the destination warehouse, the weight of the goods, the volume of the goods in the aggregated order information, and the transportation network, the estimated delivery time, and the estimated shelving time, the transportation processing task is generated, as shown in Table 7.

[0086] Table 7

[0087]

[0088] According to an embodiment of the present disclosure, the warehouse processing task and the transportation processing task are simultaneously and respectively issued to the warehouse management system and the transportation management system. By issuing the transportation processing task in advance, the time for the warehouse to wait for vehicle transportation after the production of the goods is completed is shortened, and the goods can be directly shipped and transported after the production of the goods is completed.

[0089] According to an embodiment of the present disclosure, the warehouse processing task and the transportation processing task generated based on the processing time limit are correspondingly issued to the warehouse management system and the transportation management system to monitor the processing of the target set order based on the processing time limit, including: issuing the warehouse processing task to the warehouse management system to monitor the processing of the target set order based on the production end time and the expected pickup time; issuing the transportation processing task to the transportation management system to monitor the processing of the target set order based on the expected delivery time and the expected shelving time.

[0090] According to an embodiment of the present disclosure, the warehouse processing task and the transportation processing task are simultaneously issued to the warehouse management system and the transportation management system respectively. The production of the warehouse is strictly performed according to the production time calculated in the warehouse processing task, and corresponding prompts are performed on the task allocation and the picking page, and the production overtime is monitored through the production overtime report. After the transportation processing task is issued to the transportation management system, the transportation management system schedules the task for the transport resource according to the transportation processing task.

[0091] According to an embodiment of the present disclosure, the transportation processing task is issued in advance, which shortens the time for the warehouse to wait for the vehicle to transport the goods after the production of the goods is completed. When the production of the warehouse is completed, the goods can be directly shipped and transported.

[0092] According to an embodiment of the present disclosure, the information processing method further includes: in the case that the warehouse management system receives the warehouse processing task, determining the production wave of the warehouse processing task according to the production cut-off time in the warehouse processing task; and allocating the warehouse processing task according to the production wave to process the warehouse processing task.

[0093] According to an embodiment of the present disclosure, in the case that the warehouse management system receives the warehouse processing task, the production wave of the order of the warehouse is arranged according to the production cut-off time in the warehouse processing task, the warehouse processing task is allocated to produce the goods. After the production is completed, the goods are picked, and the internal allocation is reviewed based on the order information. After the review is passed, the internal allocation is shipped.

[0094] FIG. 4 schematically shows a processing architecture diagram of an information processing method according to another embodiment of the present disclosure.

[0095] As shown in FIG. 4, the overall technical architecture of the information processing method includes an internal allocation system 410, an internal performance control system 420, and a production execution system 430. The internal performance control system 420 interacts with a set order system 421, a transportation network system 422, an internal allocation order time limit system 423, and a TMS system 424.

[0096] In the internal matching system 410, operations on the target internal matching order can be performed, specifically, internal order creation, internal order cancellation, and internal order forced download, etc. operations can be performed.

[0097] In the internal performance control system 420, the document of the target internal matching order is received, and the target internal matching order is processed through interaction with the order collection system 421. Through interaction with the transportation sub-network system 422, the transportation network is determined. Through interaction with the internal order time limit system 423, the processing time limit is calculated. The transportation demand is issued to the TMS system 424, and the order is sent to the production execution system 430.

[0098] In the production execution system 430, the warehouse receives the order, arranges the production wave of the order, and allocates the warehouse processing task to produce the goods. After production, the goods are picked and the internal matching is reviewed based on the order information. After the review, the internal matching is shipped.

[0099] According to the embodiment of the present disclosure, by processing the multiple target internal matching orders to form the target collection order, the processing of the warehouse is facilitated, and the processing time limit is accelerated. After determining the transportation network of the target collection order, the processing time limit of the target collection order is configured based on the transportation network and the warehouse information, so that the processing of the target collection order can be monitored based on the processing time limit, and the stability of the order processing time limit is ensured. The warehouse processing task and the transportation processing task are correspondingly issued to the warehouse management system and the transportation management system, and by issuing the transportation processing task in advance, the time for the warehouse to wait for the vehicle transportation after the goods are produced is shortened, and the processing efficiency of the task is effectively improved.

[0100] Figure 5 schematically shows a block diagram of an information processing device according to an embodiment of the present disclosure.

[0101] As shown in Figure 5, the information processing device 500 includes an order collection processing module 510, a transportation determination module 520, a time limit configuration module 530, and a task issuing module.

[0102] The order collection processing module 510 is configured to, in response to the received multiple target internal matching orders, process the multiple target internal matching orders based on the internal matching order information of each target internal matching order to obtain a target collection order.

[0103] The transportation determination module 520 is configured to determine a transportation network for transporting goods in the target collection order according to collection order information of the target collection order.

[0104] The aging configuration module 530 is configured to configure a processing aging of the target set order based on the transportation network and the warehouse information in the set order information, where the processing aging includes a transportation processing aging and a warehouse processing aging.

[0105] The task issuing module 540 is configured to issue the warehouse processing task and the transportation processing task generated based on the processing aging to the warehouse management system and the transportation management system, so as to monitor the processing of the target set order based on the processing aging.

[0106] According to an embodiment of the present disclosure, the set order processing module 510 includes a set order determination sub-module, an order combination sub-module, a volume determination sub-module, and an order generation sub-module.

[0107] The set order determination sub-module is configured to determine the in-facility order information and the set order cut-off time of each target in-facility order, where the in-facility order information includes the origin warehouse, the destination warehouse, and the cargo volume.

[0108] The order combination sub-module is configured to call a set order service, and combine target in-facility orders with the same origin warehouse, destination warehouse, and set order cut-off time in a set order set.

[0109] The volume determination sub-module is configured to determine the total cargo volume of the set order set according to the cargo volume of each target in-facility order in the set order set.

[0110] The order generation sub-module is configured to generate the target set order based on the set order set in a case where the set order cut-off time in the set order set is reached at the current time or the total cargo volume reaches a preset volume.

[0111] According to an embodiment of the present disclosure, the transportation determination module 520 includes a rule determination sub-module, an information analysis sub-module, and a network determination sub-module.

[0112] The rule determination sub-module is configured to determine a network configuration rule for the target set order based on the origin warehouse and the destination warehouse in the set order information.

[0113] The information analysis sub-module is configured to analyze the cargo volume and the cargo weight in the set order information by using the network configuration rule to obtain an analysis result, where the network configuration rule includes a weight division range and a volume division range.

[0114] The network determination sub-module is configured to determine a transportation network for transporting the cargo in the target set order based on the range to which the cargo volume and the cargo weight in the analysis result belong, where the transportation network includes a transfer network and a direct delivery network.

[0115] According to an embodiment of the present disclosure, the time limit configuration module 530 comprises a warehouse configuration submodule, a transportation configuration submodule, a shelving configuration submodule, and a time limit configuration submodule.

[0116] The warehouse configuration submodule is configured to determine a warehouse production time limit for producing the target set order and a warehouse-transportation handover time limit for handing over the production based on historical production time and historical handover time corresponding to the origin warehouse and the destination warehouse in the warehouse information.

[0117] The transportation configuration submodule is configured to determine a transportation processing time limit for transporting the goods in the target set order according to a historical transportation time for transporting the goods from the origin warehouse to the destination warehouse based on the transportation network.

[0118] The shelving configuration submodule is configured to determine a warehouse shelving time limit for shelving the target set order based on a historical shelving time of the origin warehouse in the warehouse information.

[0119] The time limit configuration submodule is configured to configure a processing time limit of the target set order according to an order time of the target set order and the warehouse production time limit, the transportation processing time limit, and the warehouse shelving time limit.

[0120] According to an embodiment of the present disclosure, the information processing device 500 further comprises an end determination module, a pickup determination module, a warehouse task determination module, a delivery determination module, a shelving determination module, and a transportation task determination module.

[0121] The end determination module is configured to determine a production end time based on the order time and the warehouse production time limit.

[0122] The pickup determination module is configured to determine a predicted pickup time based on the production end time and the warehouse-transportation handover time limit.

[0123] The warehouse task determination module is configured to generate a warehouse processing task according to the set order information, the transportation network, the production end time, and the predicted pickup time.

[0124] The delivery determination module is configured to determine a predicted delivery time based on the predicted pickup time and the transportation processing time limit.

[0125] The shelving determination module is configured to determine a predicted shelving time based on the predicted delivery time and the warehouse shelving time limit.

[0126] The transportation task determination module is configured to generate a transportation processing task according to the set order information, the transportation network, the predicted delivery time, and the predicted shelving time.

[0127] According to an embodiment of the present disclosure, the task issuing module 540 comprises a warehouse issuing submodule and a transportation issuing submodule.

[0128] The warehouse issuing submodule is configured to issue a warehouse processing task to a warehouse management system, so as to monitor the processing of the target set order based on the production end time and the estimated pickup time.

[0129] The transportation issuing submodule is configured to issue a transportation processing task to a transportation management system, so as to monitor the processing of the target set order based on the estimated delivery time and the estimated shelving time.

[0130] According to an embodiment of the present disclosure, the information processing apparatus 500 further includes a wave determination module and a task allocation module.

[0131] The wave determination module is configured to, in a case where the warehouse management system receives the warehouse processing task, determine a production wave of the warehouse processing task according to a production cut-off time in the warehouse processing task.

[0132] The task allocation module is configured to allocate the warehouse processing task according to the production wave, so as to process the warehouse processing task.

[0133] Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure, or at least part of functions of any one or more of the modules, sub-modules, units, sub-units, can be implemented in one module. Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure can be split into multiple modules for implementation. Any one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on substrate, a system on package, an application specific integrated circuit (ASIC), or any other reasonable way of hardware or firmware through integration or packaging of circuits, or in any one of software, hardware and firmware or in an appropriate combination of any of the above. Alternatively, one or more of the modules, sub-modules, units, sub-units according to the embodiments of the present disclosure can be at least partially implemented as computer program modules, which can perform corresponding functions when the computer program modules are run.

[0134] For example, any of the set order processing module 510, the transportation determination module 520, the time limit configuration module 530, and the task issuing module can be combined in one module / unit / sub-unit, or any of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of the modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units, and implemented in one module / unit / sub-unit. According to an embodiment of the present disclosure, at least one of the set order processing module 510, the transportation determination module 520, the time limit configuration module 530, and the task issuing module can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on chip, a system on board, a system on package, an application specific integrated circuit (ASIC), or any other reasonable manner of integrating or packaging a circuit, etc. in hardware or firmware, or implemented in any one of software, hardware, and firmware or in a proper combination of any of them. Alternatively, at least one of the set order processing module 510, the transportation determination module 520, the time limit configuration module 530, and the task issuing module can be at least partially implemented as a computer program module that can perform corresponding functions when the computer program module is run.

[0135] It should be noted that the data processing system part in the embodiments of the present disclosure corresponds to the data processing method part in the embodiments of the present disclosure, and the description of the data processing system part is specifically referred to the data processing method part, which will not be repeated here.

[0136] FIG. 6 schematically shows a block diagram of an electronic device suitable for implementing the information processing method according to an embodiment of the present disclosure. The electronic device shown in FIG. 6 is merely an example, and should not bring any limitation to the functions and use range of the embodiments of the present disclosure.

[0137] As shown in FIG. 6, the electronic device 600 according to an embodiment of the present disclosure includes a processor 601, which can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) 602 or loaded from a storage portion 608 to a random access memory (RAM) 603. The processor 601 may, for example, include a general-purpose microprocessor (e.g., a CPU), an instruction set processor, and / or a related chipset, and / or a special-purpose microprocessor (e.g., an application specific integrated circuit (ASIC)), etc. The processor 601 can also include an on-board memory for cache use. The processor 601 can include a single processing unit or multiple processing units for performing different actions of the method processes according to the embodiments of the present disclosure.

[0138] In the RAM 603, various programs and data required for the operation of the electronic device 600 are stored. The processor 601, the ROM 602, and the RAM 603 are connected to each other via the bus 604. The processor 601 performs various operations of the method flow according to the embodiments of the present disclosure by executing the programs in the ROM 602 and / or the RAM 603. It should be noted that the programs can also be stored in one or more memories other than the ROM 602 and the RAM 603. The processor 601 can also perform various operations of the method flow according to the embodiments of the present disclosure by executing the programs stored in the one or more memories.

[0139] According to an embodiment of the present disclosure, the electronic device 600 can further include an input / output (I / O) interface 605, which is also connected to the bus 604. The system 600 can further include one or more of the following components connected to the I / O interface 605: an input part 606 including a keyboard, a mouse, etc.; an output part 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage part 608 including a hard disk, etc.; and a communication part 609 including a network interface card such as a LAN card, a modem, etc. The communication part 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as necessary. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is mounted on the drive 610 as necessary, so that a computer program read therefrom is installed in the storage part 608 as necessary.

[0140] According to an embodiment of the present disclosure, the method flow according to the embodiments of the present disclosure can be implemented as a computer software program. For example, the embodiments of the present disclosure include a computer program product including a computer program carried on a computer-readable storage medium, the computer program containing program codes for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network by the communication part 609, and / or installed from the removable medium 611. When the computer program is executed by the processor 601, the above-described functions defined in the system of the embodiments of the present disclosure are performed. According to an embodiment of the present disclosure, the system, device, apparatus, module, unit, etc. described above can be implemented by computer program modules.

[0141] The present disclosure also provides a computer-readable storage medium, which can be included in the device / apparatus / system described in the above embodiments, or can exist separately without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, which, when executed, implement the methods according to the embodiments of the present disclosure.

[0142] According to an embodiment of the disclosure, the computer readable storage medium can be a nonvolatile computer readable storage medium. For example, it can include, but is not limited to, 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), 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 this disclosure, a computer readable storage medium can be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

[0143] For example, according to an embodiment of the disclosure, the computer readable storage medium can include one or more memories other than the ROM 602 and / or the RAM 603 and / or the ROM 602 and the RAM 603 described above.

[0144] Embodiments of the disclosure also include a computer program product, which includes a computer program containing program codes for executing the method provided by the embodiments of the disclosure, and when the computer program product is run on an electronic device, the program codes are used to make the electronic device implement the information processing method provided by the embodiments of the disclosure.

[0145] When the computer program is executed by the processor 601, the above-mentioned functions defined in the system / apparatus of the embodiments of the disclosure are executed. According to an embodiment of the disclosure, the system, apparatus, module, unit, etc. described above can be implemented by computer program modules.

[0146] In one embodiment, the computer program can rely on a tangible storage medium such as an optical storage device, a magnetic storage device, etc. In another embodiment, the computer program can also be transmitted, distributed, and downloaded in the form of a signal on a network medium, and be downloaded and installed through the communication part 609, and / or be installed from the detachable medium 611. The program codes contained in the computer program can be transmitted by any appropriate network medium, including but not limited to wireless, wired, etc., or any suitable combination of the foregoing.

[0147] According to embodiments of the present disclosure, program code of a computer program provided by embodiments of the present disclosure can be written in any combination of one or more programming languages, and specifically, can be implemented using a high-level procedural and / or object-oriented programming language, and / or an assembly / machine language. Programming languages include, but are not limited to, Java, C++, python, "C" language, or similar programming languages. Program code can execute entirely on a user's computing device, partly on a user device, partly on a remote computing device, or entirely on a remote computing device or server. In the latter scenario, the remote computing device can be connected to the user's computing device through any kind of network, including a local area network (LAN) or a wide area network (WAN), or the connection can be made to an external computing device, such as through the Internet using an Internet Service Provider.

[0148] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functionalities, and operations of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flow diagrams or block diagrams can represent a module, a segment, or a 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 blocks can 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

[0149] Embodiments of the present disclosure have been described above. However, these embodiments are merely meant to be illustrative and not limiting of the present disclosure. Although each of the embodiments has been described above separately, this does not mean that the measures in the respective embodiments cannot be used advantageously in combination. The scope of the present disclosure is defined by the appended claims and their equivalents. Without departing from the scope of the present disclosure, those skilled in the art can make various substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. An information processing method, comprising: in response to a plurality of target in-facility orders received, performing a collection order processing on the plurality of target in-facility orders based on in-facility order information of each of the target in-facility orders to obtain a target collection order; determining a transportation network for transporting goods in the target collection order according to collection order information of the target collection order; configuring a processing time limit of the target collection order based on the transportation network and warehouse information in the collection order information, wherein the processing time limit comprises a transportation processing time limit and a warehouse processing time limit; correspondingly issuing a warehouse processing task and a transportation processing task generated based on the processing time limit to a warehouse management system and a transportation management system to monitor processing of the target collection order based on the processing time limit.

2. The method of claim 1, wherein, The collection order processing on the plurality of target in-facility orders based on the in-facility order information of each of the target in-facility orders to obtain the target collection order comprises: determining in-facility order information and collection order time of each of the target in-facility orders, wherein the in-facility order information comprises an originating warehouse, a destination warehouse, and a volume of goods; calling a collection order service to combine target in-facility orders with the same originating warehouse, destination warehouse, and collection order time in the plurality of target in-facility orders into a collection order set; determining a total volume of goods of the collection order set according to the volume of goods of each target in-facility order in the collection order set; in a case where a current time reaches the collection order time in the collection order set or the total volume of goods reaches a preset volume, generating the target collection order based on the collection order set.

3. The method of claim 1, wherein, The determination of the transportation network for transporting the goods in the target collection order according to the collection order information of the target collection order comprises: determining a network configuration rule for the target collection order based on the originating warehouse and the destination warehouse in the collection order information; analyzing the volume of goods and the weight of goods in the collection order information using the network configuration rule to obtain an analysis result, wherein the network configuration rule comprises a weight division range and a volume division range; determining the transportation network for transporting the goods in the target collection order based on a range to which the volume of goods and the weight of goods in the analysis result belong, wherein the transportation network comprises a transfer network and a direct delivery network.

4. The method of claim 1, wherein, The warehouse processing time limit comprises a warehouse production time limit, a warehouse and distribution handover time limit, and a warehouse shelving time limit, and the configuration of the processing time limit of the target collection order based on the transportation network and the warehouse information in the collection order information comprises: determining a warehouse production time limit for producing the target collection order and a warehouse and distribution handover time limit for producing and handing over based on historical production time lengths and historical handover time lengths corresponding to the originating warehouse and the destination warehouse in the warehouse information; determining a transportation processing time limit for transporting the goods in the target collection order based on a historical transportation time length of transporting the goods from the originating warehouse to the destination warehouse based on the transportation network. determine a warehouse shelving time limit for shelving the target set order based on a historical shelving duration of the originating warehouse in the warehouse information; configure a processing time limit of the target set order according to an order time of the target set order and the warehouse production time limit, the transportation processing time limit and the warehouse shelving time limit.

5. The method of claim 4, further comprising: determining a production end time based on the order time and the warehouse production time limit; determining a predicted pickup time based on the production end time and the warehouse-to-logistics interface time limit; generating a warehouse processing task according to the set order information, the transportation network, the production end time and the predicted pickup time; determining a predicted delivery time based on the predicted pickup time and the transportation processing time limit; determining a predicted shelving time based on the predicted delivery time and the warehouse shelving time limit; generating a transportation processing task according to the set order information, the transportation network, the predicted delivery time and the predicted shelving time.

6. The method of claim 5, wherein, the warehouse processing task and the transportation processing task generated based on the processing time limit are correspondingly issued to a warehouse management system and a transportation management system, so as to monitor the processing of the target set order based on the processing time limit, comprising: the warehouse processing task is issued to the warehouse management system, so as to monitor the processing of the target set order based on the production end time and the predicted pickup time; the transportation processing task is issued to the transportation management system, so as to monitor the processing of the target set order based on the predicted delivery time and the predicted shelving time.

7. The method of claim 1, further comprising: in a case where the warehouse processing task is received by the warehouse management system, determining a production wave of the warehouse processing task according to a production order time in the warehouse processing task; allocating the warehouse processing task according to the production wave, so as to process the warehouse processing task.

8. An information processing apparatus, comprising: a set order processing module configured to perform set order processing on a plurality of target in-warehouse orders based on in-warehouse order information of each of the target in-warehouse orders, to obtain a target set order in response to the plurality of target in-warehouse orders received; a transportation determination module configured to determine a transportation network for transporting goods in the target set order according to set order information of the target set order; a time limit configuration module configured to configure a processing time limit of the target set order based on the transportation network and warehouse information in the set order information, wherein the processing time limit comprises a transportation processing time limit and a warehouse processing time limit; a task issuing module configured to correspondingly issue a warehouse processing task and a transportation processing task generated based on the processing time limit to a warehouse management system and a transportation management system, so as to monitor the processing of the target set order based on the processing time limit.

9. An electronic device, comprising: one or more processors; a memory configured to store one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to carry out the method of any one of claims 1 to 7.

10. A computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 7.

11. A computer program product comprising a computer program that, when executed by a processor, carries out the method according to any one of claims 1 to 7.

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