CN116911732A

CN116911732A - Order form performance bin selection method, device, medium and computing equipment

Info

Publication number: CN116911732A
Application number: CN202310833088.4A
Authority: CN
Inventors: 郑华斌; 王国云; 杨蕾; 吴航; 章勇
Original assignee: Hangzhou Netease Zaigu Technology Co Ltd
Current assignee: Hangzhou Netease Zaigu Technology Co Ltd
Priority date: 2023-07-06
Filing date: 2023-07-06
Publication date: 2023-10-20

Abstract

The embodiment of the invention provides an order performance bin selection method, an order performance bin selection device, a medium and a computing device. The method is executed when the transaction system selects the performance warehouse after generating the order, the performance cost is respectively determined for each candidate warehouse in the supply chain, the expected delivery time of each candidate warehouse is respectively calculated according to whether commodities in the order meet the requirement of the order in the warehouse, the accurate calculation of the expected delivery time of the order is realized, the performance warehouse of the order is determined according to the weighted calculation result of the expected delivery time of each candidate warehouse and the performance cost, the performance cost and the distribution timeliness of the order are comprehensively considered, the selected performance warehouse is more suitable for the order, the supply chain efficiency is improved, and the user experience is optimized.

Description

Order form performance bin selection method, device, medium and computing equipment

Technical Field

The embodiment of the invention relates to the technical field of logistics, in particular to an order performance bin selection method, an order performance bin selection device, an order performance bin selection medium and a calculation device.

Background

This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. The description herein is not admitted to be prior art by inclusion in this section.

In the field of logistics technology, order performance refers to the whole process of delivering commodities to users through warehouse and delivery of a supply chain by an e-commerce platform after order transaction is generated. In a practical scenario, for each order submitted by a user, it is necessary to pick a performance warehouse of the order from among a plurality of shipping warehouses of the supply chain and ship the order from the performance warehouse to the user.

In the related art, in order to maximize sales, merchants typically sell the total amount of in-store inventory and in-transit inventory of goods as one total inventory amount. When a trade order is received, matching a performance warehouse according to the information of the order and preset rules; the goods in the track warehouse are stored in the warehouse to meet the requirement of the order, and the order is directly pushed to the warehouse for packing and shipping; and for the condition that the commodity in-transit warehouse does not meet the requirement of the order, performing the performing by using the in-transit warehouse, and pushing the order to the warehouse for packing and shipping after the commodity in-transit warehouse required by the order arrives at the warehouse.

However, in the above-mentioned performing mode, for an order using in-transit stock performing, the expected delivery time of the order is still determined according to the calculating mode using in-stock performing, the aging expression is inaccurate, and the above-mentioned performing warehouse is determined according to the preset rule, and the delivery time of the selected performing warehouse is not necessarily required to satisfy the warehouse with the shortest delivery aging or the lowest performing cost, so that the user experience is affected.

Disclosure of Invention

In view of the foregoing, in order to solve the foregoing problems, it is desirable in the embodiments of the present invention to provide a method, an apparatus, a medium, and a computing device for selecting a warehouse for order execution, to implement accurate calculation of a predicted delivery time of an order, and to determine a warehouse for the order execution with consideration of the execution cost and the delivery timeliness in combination, so as to optimize user experience.

In a first aspect of the embodiment of the present invention, there is provided an order fulfillment bin selection method, the method including:

determining the predicted delivery time and the running cost of each candidate warehouse for fulfilling the order according to the order information and the information of the candidate warehouse for storing the goods in the order; wherein, for at least one commodity, the warehouse in the warehouse does not meet the reservation quantity of the candidate warehouse in the order, the estimated delivery time is determined according to the time to the warehouse of the in-transit inventory of the target commodity, otherwise, the estimated delivery time is determined according to the order placing time of the order; the target commodity refers to the commodity which does not meet the preset quantity in a warehouse;

performing weighted calculation according to the estimated delivery time and the performance cost, and determining performance evaluation values corresponding to the performance of the orders by the candidate warehouses;

And determining the candidate warehouse corresponding to the minimum performance evaluation value as the target performance warehouse of the order.

Optionally, the order information includes at least a receiving address; the information of the candidate warehouse at least comprises at least one preset delivery departure time;

the method for determining the estimated delivery time of each candidate warehouse to fulfill the order according to the order information and the information of the candidate warehouse for storing the goods in the order comprises the following steps:

determining a target delivery departure time when the candidate warehouse fulfills the order; the target delivery departure time is determined according to the arrival time when the reservation quantity is met after the in-transit inventory of the target commodity arrives at the warehouse, or else, the target delivery departure time is determined according to the ordering time;

determining a target delivery duration for the candidate warehouse to fulfill the order according to the receiving address;

and determining the estimated delivery time according to the target delivery departure time and the target delivery duration.

Optionally, the information of the candidate warehouse at least further comprises the arrival time and the batch number of each batch of goods in the in-transit inventory of each goods in the order;

In the event that the inventory store does not satisfy a predetermined amount of at least one commodity, the determining a target delivery departure time for the candidate warehouse to fulfill the order comprises:

determining the latest time to stock of the target batch of commodities in the in-transit inventory of each target commodity; the target batch commodity refers to batch commodity of the on-transit inventory corresponding to the quantity of the on-transit inventory after the on-transit inventory reaches the warehouse when the quantity of the on-warehouse meets the preset quantity;

and determining the target delivery departure time according to the latest arrival time corresponding to each target commodity and the production duration of the candidate warehouse.

Optionally, the determining the target delivery departure time according to the latest arrival time corresponding to each target commodity and the production duration of the candidate warehouse includes:

determining the latest arrival time corresponding to each target commodity as the production start time of the candidate warehouse;

obtaining the sum of the production start time and the production duration to obtain the production completion time;

determining, for at least one delivery departure time, an earliest delivery departure time among the at least one delivery departure times in response to the production completion time being earlier than the delivery departure time on the day of arrival at the warehouse; the date of arrival at the warehouse is the date indicated by the production start time;

And in response to the production completion time being later than the delivery departure time which is the latest in the current day of the warehouse, determining the delivery departure time which is the earliest in the next day of the warehouse as the target delivery departure time.

Optionally, the calculating the weight according to the estimated delivery time and the performance cost to determine the performance evaluation value corresponding to the order for each candidate warehouse includes:

acquiring a time weight coefficient corresponding to the predicted delivery time and a cost weight coefficient corresponding to the performance cost;

and for each candidate warehouse, determining the product of the estimated delivery time and the weight coefficient corresponding to the performance cost, and taking the added product as the performance evaluation value of the candidate warehouse.

Optionally, after determining the target performance warehouse, the method further comprises:

and updating the information of the target performance warehouse according to the quantity information of the in-warehouse inventory and the in-transit inventory occupied by each commodity in the order.

In a second aspect of the embodiments of the present invention, there is provided an order fulfillment bin selection device, the device comprising:

the time cost calculation module is used for determining the predicted delivery time and the running cost of each candidate warehouse for fulfilling the order according to the order information and the information of the candidate warehouse for storing the goods in the order; wherein, for at least one commodity, the warehouse in the warehouse does not meet the reservation quantity of the candidate warehouse in the order, the estimated delivery time is determined according to the time to the warehouse of the in-transit inventory of the target commodity, otherwise, the estimated delivery time is determined according to the order placing time of the order; the target commodity refers to commodities which do not meet the preset quantity in a warehouse;

The performance evaluation value determining module is used for carrying out weighted calculation according to the estimated delivery time and the performance cost to determine the performance evaluation value corresponding to the order fulfilled by each candidate warehouse;

and the target performance warehouse determining module is used for determining the candidate warehouse corresponding to the minimum performance evaluation value as the target performance warehouse of the order.

Optionally, the order information includes at least a receiving address; the information of the candidate warehouse at least comprises at least one preset delivery departure time; the time fee calculation module includes:

a first departure time determining module for determining a target departure time for delivery when the candidate warehouse fulfills the order; the target delivery departure time is determined according to the arrival time when the reservation quantity is met after the in-transit inventory of the target commodity arrives at the warehouse, or else, the target delivery departure time is determined according to the ordering time;

the delivery duration determining module is used for determining target delivery duration of the candidate warehouse for fulfilling the order according to the receiving address;

and the estimated delivery time determining module is used for determining the estimated delivery time according to the target delivery departure time and the target delivery duration.

Optionally, the information of the candidate warehouse at least further comprises the arrival time and the batch number of each batch of goods in the in-transit inventory of each goods in the order; in the case where the reserved quantity is not satisfied in the stock store of at least one commodity, the first schedule time determination module includes:

the warehouse arrival time determining module is used for determining the latest warehouse arrival time of the target batch of commodities in the in-transit inventory of each target commodity; the target batch commodity refers to batch commodity of the on-transit inventory corresponding to the quantity of the on-transit inventory after the on-transit inventory reaches the warehouse when the quantity of the on-warehouse meets the preset quantity;

and the second departure time determining module is used for determining the target delivery departure time according to the latest arrival time corresponding to each target commodity and the production duration of the candidate warehouse.

Optionally, the second departure time determining module is specifically configured to:

Optionally, the performance evaluation value determining module is specifically configured to:

Optionally, the apparatus further comprises:

and the updating module is used for updating the information of the target track warehouse according to the quantity information of the in-warehouse inventory and the in-transit inventory occupied by each commodity in the order in the target track warehouse after the target track warehouse is determined.

In a third aspect of the embodiments of the present invention, there is provided a readable storage medium having stored thereon a computer program which when executed by a processor implements the order fulfillment bin selection method described above.

In a fourth aspect of embodiments of the present invention, there is provided a computing device comprising: comprising the following steps: a processor, a memory; the memory is used for storing a computer program; the processor is used for executing the order form execution bin selection method by calling the computer program.

According to the order performance warehouse selecting method, the order performance warehouse selecting method is executed when the performance warehouse is selected after the transaction system generates the order, performance fees are respectively determined for all candidate warehouses in the supply chain, the expected delivery time of all the candidate warehouses is respectively calculated according to whether commodities in the order meet the requirement of the order in the warehouse, accurate calculation of the expected delivery time of the order is achieved, the performance warehouse of the order is determined according to the weighted calculation results of the expected delivery time of all the candidate warehouses and the performance fees, the performance fees and the distribution timeliness of the order are comprehensively considered, the selected performance warehouse is enabled to be more suitable for the order, the supply chain efficiency is improved, and user experience is optimized.

Drawings

The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present invention are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which:

FIG. 1 schematically illustrates a flow diagram of selecting a fulfillment warehouse to ship after order generation in the related art;

FIG. 2 schematically illustrates an order fulfillment bin selection function interaction scenario in accordance with an embodiment of the invention;

FIG. 3 schematically illustrates a flow chart for determining the estimated time of arrival of a candidate warehouse in accordance with an embodiment of the present invention;

FIG. 4 schematically illustrates a flow chart of a process parameter target delivery departure time for determining a predicted arrival time according to an embodiment of the present invention;

FIG. 5 schematically illustrates a flow chart for determining a target delivery departure time for a candidate warehouse that does not satisfy a predetermined number of warehouses for at least one commodity in accordance with an embodiment of the present invention;

FIG. 6 schematically illustrates a flow chart for determining a performance assessment value for a candidate warehouse in accordance with an embodiment of the present invention;

FIG. 7 schematically illustrates a database model schematic of in-store and in-transit inventory information of a warehouse according to an embodiment of the present invention;

FIG. 8 schematically illustrates a plan for an order after determining a target fulfillment warehouse for the order in accordance with an embodiment of the present invention;

FIG. 9 schematically illustrates a flow chart of an order fulfillment bin selection method with sufficient inventory for all candidate warehouses, in accordance with an embodiment of the invention;

FIG. 10 schematically illustrates a flow chart of an order performance picking method in the case of sufficient inventory of a portion of candidate warehouses, in accordance with an embodiment of the invention;

FIG. 11 schematically illustrates a database model diagram of a warehouse in data instance of inventory information and in-transit inventory information, according to an embodiment of the invention;

FIG. 12 schematically illustrates a block diagram of an order fulfillment bin selection device according to an embodiment of the invention;

FIG. 13 schematically illustrates a schematic diagram of a medium according to an embodiment of the present invention;

FIG. 14 schematically illustrates a schematic diagram of a computing device, in accordance with an embodiment of the present invention.

In the drawings, the same or corresponding reference numerals indicate the same or corresponding parts.

Detailed Description

The principles and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are presented merely to enable those skilled in the art to better understand and practice the invention and are not intended to limit the scope of the invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.

According to the embodiment of the invention, an order performance bin selection method, an order performance bin selection device, a medium and a computing device are provided.

Any number of elements in the figures are for illustration and not limitation, and any naming is used for distinction only, and not for any limiting sense.

The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments thereof.

Order performance refers to the entire process of delivering goods to a user through the warehouse and delivery of the supply chain by the e-commerce platform after the order transaction has occurred. To maximize sales, merchants typically sell the total amount of inventory in the inventory and inventory in transit of the goods as a total inventory amount. Wherein, the stock is the stock quantity stored in the warehouse, which is also called the existing stock; in-transit inventory refers to inventory that is reserved in a conveyance without reaching a target warehouse, being in a conveyance state, or waiting for conveyance.

Referring to fig. 1, in the related art, after an order is generated by a transaction system, a performance warehouse of the order is generally determined from a plurality of warehouses in a supply chain according to a preset rule, for example, a warehouse closest to an order placing address is selected, or a warehouse with the lowest performance cost is selected; after determining the track warehouse, judging whether the in-warehouse of each commodity in the order meets the preset quantity, if yes, directly pushing the order to the track warehouse for packing and shipping, if not, clamping the order, waiting for the commodity in-transit warehouse to be transferred to the warehouse, and pushing the order to the track warehouse for packing and shipping when the commodity in-transit warehouse meets the requirement of the order.

However, in the process of acquiring the expected delivery time of the order, the delivery time is calculated according to the method of storing the performance in the warehouse for both the above cases, namely, the calculation of the delivery time only considers the warehouse picking time after the order is pushed and the delivery time for delivering to the user, and the aging expression of the expected delivery time is inaccurate for the performance mode of pushing the warehouse after the order is blocked, the on-the-way stock is transferred to the warehouse. Moreover, in the above-described manner of performing, the selected performance warehouse may not be a cost-effective optimal warehouse for the order.

For example, assuming that there are A, B two warehouses in the supply chain, the order receiving address is first, the preset bin selection rule is to select a warehouse closer to the receiving address, if the bin B is closer to the receiving address first, the performance cost and the timeliness of shipping from the bin B are better than those of the bin a for the condition that the goods in the two warehouses in A, B are sufficient in the warehouse; however, if the warehouse B only has the in-transit inventory of the commodity, the warehouse B is still selected to be shipped according to the preset warehouse selecting rule, and if the warehouse a has enough current commodity, the performance cost of the warehouse a is better than that of the warehouse B.

Therefore, the predicted delivery time of the order in the order form in the related art is not accurately expressed, and the delivery time of the selected delivery warehouse is not necessarily the warehouse with the shortest delivery time or the lowest delivery cost, so that the user experience is affected.

In view of this, the present invention proposes a method for selecting a warehouse for order execution, which, when receiving an order, respectively obtains, for each candidate warehouse in a supply chain, the execution cost of the warehouse for executing the order, respectively calculates the estimated delivery time of each warehouse according to whether the number of the products in the order in the warehouse meets the predetermined number, and determines the target execution warehouse of the order according to the result of weighted calculation of the estimated delivery time and the execution cost of each candidate warehouse.

According to the invention, according to the relation between the inventory of the commodity and the reserved quantity of the order, different expected delivery time determining modes of the order are adopted, so that the accurate calculation of the expected delivery time of the order is realized, the performance warehouse of the order is determined based on the weighted calculation result of the expected delivery time and the performance cost of each candidate warehouse obtained by the accurate calculation, the performance cost and the delivery timeliness of the order are comprehensively considered, the selected performance warehouse is more suitable for the order, the supply chain efficiency is improved, and the user experience is optimized.

Having described the basic principles of the present invention, various non-limiting embodiments of the invention are described in detail below.

The order performance comprises at least processing sections of acquiring transaction orders, determining a performance warehouse, deducting the inventory, pushing the orders to the warehouse, delivering and distributing the warehouse, confirming the receipt and the confirmation of the user, and the like.

Referring to fig. 2, the order performance warehouse selection functional unit is configured to interact with the transaction system and the warehouse system, acquire order information from the transaction system, select the performance warehouse from a plurality of shipping warehouses in a supply chain according to the order information and the configured order performance warehouse selection method, and select appropriate time to push an order to the performance warehouse in the warehouse system with reference to the inventory information of the performance warehouse, so that the warehouse system notifies the corresponding warehouse to perform the shipment processing of the order.

It can be understood that the order performance warehouse selection functional unit may be set up in a transaction system, a warehouse system or other functional modules, and any mode of supporting the order performance warehouse selection functional unit that can realize performance warehouse selection after generating an order is not limited in this invention.

Exemplary method

An order fulfillment bin selection method according to an exemplary embodiment of the present invention is described below with reference to fig. 3-11 in conjunction with the scenario of fig. 2. It should be noted that the above application scenario is only shown for the convenience of understanding the spirit and principle of the present invention, and the embodiments of the present invention are not limited in any way. Rather, embodiments of the invention may be applied to any scenario where applicable.

Referring to fig. 3, fig. 3 schematically illustrates a flow chart of an order fulfillment inventory method for execution after a trade order is acquired, which may be applied to any functional module or system for determining a fulfillment warehouse, in accordance with an embodiment of the present invention.

The order form performing and bin selecting method can comprise the following steps:

s301, determining the predicted delivery time and the running cost of each candidate warehouse to fulfill the order according to the order information and the information of the candidate warehouse for storing the commodities in the order; wherein, for at least one commodity, the warehouse in the warehouse does not meet the reservation quantity of the candidate warehouse in the order, the estimated delivery time is determined according to the time to the warehouse of the in-transit inventory of the target commodity, otherwise, the estimated delivery time is determined according to the order placing time of the order; the target commodity refers to the commodity which does not meet the preset quantity in a warehouse;

the candidate warehouse refers to a warehouse for storing commodity types in a supply chain of a merchant, wherein the commodity types comprise all commodities in an order; the estimated time of delivery refers to the estimated time that the user can receive the goods in the order; the time to the warehouse of the in-transit inventory refers to the time to the warehouse of the in-transit inventory of the commodity to the target warehouse; the target commodity is one or more commodities in the order, and the target commodity refers to that in the candidate warehouse, the stock quantity of the commodity is smaller than the reservation quantity of the commodity in the order.

The running cost refers to the cost consumption of the whole process from the time the warehouse receives an order to the time the goods in the order are delivered to the user, and generally comprises the cost of warehouse package delivery, namely, warehouse pick-up cost and order delivery cost. The order delivery cost refers to a transportation cost from a warehouse delivery to a receiving address of an order, and the transportation cost depends on a distance between the warehouse and the receiving address. In an embodiment of the present invention, the order delivery costs may be estimated based on a historical delivery cost record delivered to the order's receiving address.

When order information is acquired, for each candidate warehouse, the estimated delivery time of the candidate warehouse may be calculated by:

acquiring the stock quantity of each commodity in the order corresponding to the candidate warehouse;

judging whether the number of the stock of each commodity is larger than or equal to the preset number of the commodity;

if yes, acquiring the order placing time of the order, and determining the predicted delivery time of the order when the order is delivered through the candidate warehouse according to the order placing time;

if not, determining that the commodities in the order, which are stored in the warehouse and are smaller than the preset quantity, are used as target commodities, and determining the estimated time of delivery of the order when the commodity is delivered through the candidate warehouse according to the time of arrival of the target commodities corresponding to the on-road warehouse in the candidate warehouse.

For example, assuming that the candidate warehouse includes S1, S2, S3, the order includes goods G1, G2, when the order is received, the in-warehouse storages of the goods G1, G2 in the warehouse S1 are acquired for the candidate warehouse S1, if the in-warehouse storages of the goods G1, G2 both meet the requirement of the order, the expected delivery time of the warehouse S1 is determined according to the order-placing time of the order, otherwise, the in-warehouse storages of any one of the goods G1, G2 do not meet the requirement of the order, say G1, the expected delivery time of the warehouse S1 is determined according to the in-warehouse delivery time of the goods G1 in the warehouse S1; similarly, the estimated delivery time of the warehouses S2 and S3 is calculated respectively, and the corresponding performance cost of the three warehouses is determined respectively according to the receiving addresses of the orders.

S302, carrying out weighted calculation according to the estimated delivery time and the performance cost, and determining performance evaluation values corresponding to the performance of the orders by the candidate warehouses;

and presetting weights corresponding to the two estimated dimensions of the estimated delivery time and the running cost, and uniformly estimating the timeliness and the cost by using the weights so as to determine the running warehouse of the order according to the running estimated value obtained by weighting calculation.

And S303, determining a candidate warehouse corresponding to the minimum performance evaluation value as a target performance warehouse of the order.

The performance evaluation value is calculated based on weighting two evaluation dimensions of the estimated delivery time and the performance cost, the evaluation value comprehensively considers the timeliness and the cost of the order performance, the smaller the performance evaluation value is, the more suitable the candidate warehouse is for the order, and the earlier the estimated delivery time and/or the lower the performance cost of the warehouse delivered from the candidate warehouse are relative to other warehouses with larger performance evaluation values.

Therefore, for each candidate warehouse storing all commodities in the order, selecting the candidate warehouse with the minimum corresponding performance evaluation value from the candidate warehouses as a target performance warehouse of the order, wherein the commodities in the target performance warehouse are required for meeting the order in the warehouse, and pushing the order to the target performance warehouse for packing and shipping.

For the case where there are a plurality of candidate warehouses for which the corresponding performance evaluation values are all minimum values, one performance evaluation value may be determined as the minimum value from among the performance evaluation values further based on the performance cost or the estimated delivery time.

In an alternative implementation manner, the order information in step S301 includes at least a receiving address; the information of the candidate warehouse at least comprises at least one preset delivery departure time; as shown in fig. 4, determining the estimated time for each candidate warehouse to fulfill the order according to the order information and the information of the candidate warehouse storing the goods in the order in step S301 may include the following steps:

s3011, determining target delivery departure time when the candidate warehouse fulfills the order; the target delivery departure time is determined according to the arrival time when the reservation quantity is met after the in-transit inventory of the target commodity arrives at the warehouse, or else, the target delivery departure time is determined according to the ordering time;

the target delivery departure time refers to the time when the warehouse packages the order and sends the order out of the warehouse, and the time sent out of the warehouse is one of preset delivery departure times of the warehouse. In general, at least one delivery departure time is preset in each candidate warehouse, the delivery departure time is sent out from the warehouse after the packing of the order commodity is completed, for example, the delivery departure time set by one candidate warehouse is 12:00 am, 16:00 pm and 20:00 pm, and after the packing of the order commodity is completed, the target delivery departure time is determined from the three departure times according to the packing completion time.

And determining the target delivery departure time according to the time of pushing the order to the candidate warehouse. For the situation that each commodity in the order corresponds to the condition that the in-stock inventory of the candidate warehouse meets the requirement of the order, the time for pushing the order to the candidate warehouse is the time for placing the order, namely the order is directly pushed to the warehouse when the stock inventory is sufficient; and for the candidate warehouse containing the target commodity, namely the warehouse containing at least one commodity and not meeting the preset quantity, the order is blocked and not pushed to the candidate warehouse, the time required for the on-the-shelf containing the target commodity to meet the order after the on-the-way inventory of the target commodity arrives at the warehouse is the on-the-warehouse time of the on-the-way inventory of the target commodity, and the time for pushing the order to the candidate warehouse, namely the order to the candidate warehouse, is the on-the-warehouse time of the on-the-way inventory of the target commodity.

S3012, determining target delivery duration of the candidate warehouse to fulfill the order according to the receiving address;

the target delivery duration refers to a transportation duration from warehouse delivery to the receiving address, depending on the receiving address.

The target delivery duration can be determined by counting the record of the delivery duration of the delivery to the receiving address according to the big data corresponding to the warehouse, or can be determined according to the corresponding relation between the receiving address and the target delivery duration included in the information of the candidate warehouse, and the method is not particularly limited on how to obtain the target delivery duration.

S3013, determining the estimated delivery time according to the target delivery departure time and the target delivery duration.

After determining the time when the order is sent from the warehouse and the delivery time length of the receiving address of the order transported from the warehouse, the predicted delivery time is the sum of the time when the warehouse is sent and the delivery time length, namely the sum of the target delivery departure time and the target delivery time length is used as the predicted delivery time.

For example, the target delivery departure time is 12:00 am on 6 months and 5 days, and the target delivery duration is 48 hours, and the estimated delivery time is 12:00 am on 6 months and 7 days.

According to the embodiment of the invention, the time-dependent expression of the predicted delivery time when the finally determined candidate warehouse fulfills the order is accurate by accurately determining the delivery departure time of the packaged order in the warehouse, and the data support is provided for the follow-up target track warehouse determined according to the predicted delivery time dimension.

In another alternative implementation, for the case where the at least one commodity in the warehouse store in step S3011 does not satisfy the predetermined amount, as shown in fig. 5, the target delivery departure time when the candidate warehouse fulfills the order may be determined by:

S3011a, determining the latest time to stock of the target batch of commodities in the in-transit inventory of each target commodity; the target batch commodity refers to batch commodity of the on-transit inventory corresponding to the quantity of the on-transit inventory after the on-transit inventory reaches the warehouse when the quantity of the on-warehouse meets the preset quantity;

that is, for the articles in the order, which correspond to the articles in the candidate warehouse and do not satisfy the predetermined number in the order, that is, for each target article, since the stock of the target article in the candidate warehouse is not required to satisfy the order, for each target article, the time required for the in-transit inventory of the target article to reach the warehouse to satisfy the order is required to be determined.

For example, the order includes goods G1, G2, G3, and G4, and the latest time to stock of the target lot of goods G2, G3, and G4 is determined if the stock of goods G2, G3, and G4 in the candidate warehouse is less than the predetermined number in the order.

Taking the example of determining the late arrival time corresponding to G2, assume that the number of in-store inventory of G2 in the candidate warehouse is 1, the reserved number of G2 in the order is 5, and the in-transit inventory of G2 includes the following batches of commodities:

batch one 6 months 9 days 10:00 to warehouse 3 pieces;

Batch two 6 months 9 days 15:00 to warehouse 3 pieces;

batch three 6 months 10 days 10:00 to 10 warehouses;

the on-road inventory of G2 is 4 parts per batch to the post-warehouse G2, which is not required for meeting the order, and the on-warehouse inventory of the post-warehouse G2 is 7 parts per batch, i.e. when the on-road state of the on-road inventory of G2 is changed from the on-road state to the on-road state, the on-road inventory of G2 is required for meeting the order, so that the first and second batches are the target batch commodity, and the latest on-road time is 15:00 of the on-road time of the second batch, i.e. the on-road time of the second batch is 6 months and 9 days.

S3011b, determining the target delivery departure time according to the latest arrival time corresponding to each target commodity and the production duration of the candidate warehouse.

The production time of the candidate warehouse refers to the time consumption of the candidate warehouse for packing the goods in the order.

In the candidate warehouse, the premise of order packing is that the inventory in the warehouse of the commodities in the order meets the requirement of the order, so that the time point required by each commodity in the order for meeting the order in the inventory can be determined based on the latest arrival time corresponding to each target commodity, the estimated starting packing time of the candidate warehouse for the order can be obtained, and the estimated target delivery departure time when the commodities are delivered from the candidate warehouse is obtained by combining the production time of the candidate warehouse and the preset delivery departure time corresponding to the warehouse.

In an alternative implementation manner, the determining, in step S3011b, the target delivery departure time according to the latest arrival time corresponding to each target commodity and the production duration of the candidate warehouse may include the following implementation steps:

judging whether the production completion time of the candidate warehouse is earlier than at least one delivery departure time on the current day of the warehouse;

if yes, determining the earliest delivery departure time as the target delivery departure time for the at least one delivery departure time; the date of arrival at the warehouse is the date indicated by the production start time; if not, determining the earliest delivery departure time in the next day of the warehouse as the target delivery departure time.

Taking the latest arrival time of the target lot commodities of G2, G3 and G4 as an example, if the latest arrival time corresponding to G2 is 15:00 on 9 days of 6 months, the latest arrival time corresponding to G3 is 9:00 on 9 days of 6 months, and the latest arrival time corresponding to G4 is 10:00 on 10 days of 6 months, the latest arrival time corresponding to G2, G3 and G4 is determined as the production start time of the candidate warehouse from the latest arrival times corresponding to G2, G3 and G4, namely 10:00 on 10 days of 6 months; assuming a production duration of 4 hours, the candidate warehouse has a production completion time of 14:00 on 10 days of 6 months.

If the delivery departure time of the candidate warehouse is known to comprise 12:00 am, 16:00 pm and 20:00 pm, determining that the earlier 16:00 pm of 6 months and 10 days is taken as the target delivery departure time of the order based on the two departure time points that the production completion time is earlier than 16:00 pm and 20:00 pm; if the determined time of completion of the production is 20:00 a.m. later than the departure time point, which indicates that the delivery cannot be performed on the day of completion of the production, the target delivery departure time of the order is determined to be 12:00 a.m. on the next day, namely, on the 6 months and 11 days.

In an alternative embodiment, referring to fig. 6, the foregoing step S302 (fig. 2) may include the following implementation steps:

s3021, obtaining a time weight coefficient corresponding to the estimated delivery time and a cost weight coefficient corresponding to the running cost;

the sum of the two weight coefficients is 1. The weight coefficient can be set in combination with a business target, and for the business target, only the cost and the pursuit cost are considered, the time weight coefficient can be set to be 0, and the cost weight coefficient takes a value of 1; for the situation that the business objective only considers the user experience and pursues the user extremely experience without considering the cost, the cost weight coefficient can be set to be 0, and the time weight coefficient is set to be 1; for other business target requirements, assignment can be performed according to time and cost, wherein the weight of the weight is in the whole business.

And S3022, determining products of the estimated delivery time and the weight coefficients corresponding to the estimated delivery time and the estimated performance cost for each candidate warehouse, and taking the result of adding the products as the performance evaluation value of the candidate warehouse.

That is, if T is used to indicate the estimated delivery time, F is used to indicate the running cost, W _cost Representing cost weight coefficient, W _time The calculation manner of the performance evaluation value S may be: s=w _cost *F+W _time *T。

In an alternative implementation, after the foregoing step S103, the method may further include the following steps:

That is, after the target performance warehouse of the order is determined, the commodity inventory in the target performance warehouse is updated according to the mode that the target performance warehouse fulfills the order, and the commodity inventory occupied by the order is removed from the commodity inventory, so that the inventory of the order is prevented from being occupied by other orders in the process of performing inventory.

For the situation that the inventory in the target performance warehouse is sufficient for each commodity in the order to meet the requirement of the order, namely, the inventory in the target performance warehouse can be directly deducted from the inventory in the corresponding inventory of the commodity according to the reservation quantity of each commodity in the order;

For the situation that the on-the-way inventory is needed to be used when the on-the-way inventory of the commodities in the existing order does not meet the order, determining the quantity information of the on-the-way inventory and the on-the-way inventory occupied by each commodity in the order respectively, and marking the occupied inventory corresponding to the order in the target on-the-way inventory with an indication allocated mark.

In an alternative implementation manner, the information of the candidate warehouse further comprises in-warehouse information and in-transit inventory information of the commodities, wherein the in-warehouse information comprises the arrival time of each batch of commodities and the batch number, and as shown in fig. 7, the in-warehouse information and in-transit inventory information in the candidate warehouse can be recorded and maintained through the database model; based on the database model of commodity inventory of the candidate warehouse, the information about the number of in-warehouse inventory and in-transit inventory occupied by each commodity in the order can be represented by a performance inventory plan, the performance inventory plan is shown in fig. 8, after the performance inventory plan is obtained, when commodity inventory in the target performance inventory is scheduled by other orders, response inventory can be deducted according to the performance inventory plan, so that the inventory occupied by the order is avoided.

For better understanding of the present invention, the method for order fulfillment and bin selection provided by the present invention will be described below with sufficient inventory for all candidate warehouses and sufficient inventory for some candidate warehouses, respectively, in the case of candidate warehouses.

(1) The stock of all candidate warehouses is sufficient

The sufficiency of inventory in all candidate warehouses means that for each candidate warehouse in the merchant supply chain, the inventory in the candidate warehouse for each item in the order satisfies the order for that item in the order.

Referring to fig. 9, fig. 9 schematically illustrates a flow chart of an order fulfillment warehouse selection method for all candidate warehouses in the presence of sufficient warehouse inventory in accordance with an embodiment of the invention.

Before executing the order performance warehouse selection method, determining whether the warehouse storage of each candidate warehouse is sufficient or not according to the reserved quantity of commodities in the order and the information of the candidate warehouse storing the commodities in the order in advance. In the case that the stock of all candidate warehouses is sufficient, the order performance warehouse selection method may include the steps of:

s901, determining target delivery departure time of each candidate warehouse for fulfilling an order according to the order placing time of the order, the production time of the candidate warehouse and preset delivery departure time for each candidate warehouse for storing the goods in the order;

Determining the sum of the order placing time and the production time, comparing whether the sum is earlier than at least one delivery departure time of the order placing day, if yes, determining the earliest departure time in the at least one delivery departure time as the target delivery departure time of the order; if not, taking the earliest delivery departure time of the next day as the target delivery departure time.

S902, determining the predicted delivery time and the running cost of the candidate warehouse to fulfill the order according to the target delivery departure time and the receiving address of the order;

the correspondence between the candidate warehouse and the delivery duration, which refers to the length of time for delivery from the warehouse to each receiving address, may be pre-established. And obtaining the target delivery time of the order according to the receiving address of the order, wherein the predicted delivery time is the sum of the target delivery departure time and the target delivery time.

S903, for each candidate warehouse, determining the product of the estimated delivery time and the weight coefficient corresponding to the performance cost, and taking the result of adding the products as the performance evaluation value of the candidate warehouse;

and S904, determining a candidate warehouse corresponding to the minimum performance evaluation value as a target performance warehouse of the order.

After the target performance warehouse of the order is determined, the inventory of the corresponding reservation quantity of the order is deducted from the inventory of the target performance warehouse according to the reservation quantity of each commodity in the order due to the fact that the inventory of the target performance warehouse is sufficient, and the order is directly pushed to the performance warehouse, so that the target performance warehouse can pick and deliver the ordered commodity.

In the embodiment of the invention, for the case that the in-stock of each candidate warehouse meets the requirement of the order, compared with the mode of matching the performance warehouse according to the set rule in the related technology, the embodiment comprehensively considers the expected delivery time and the performance cost, namely, selects the performance warehouse under the condition of considering the aging and the cost dimension, so that the performance warehouse is more suitable for the order, and the user experience is optimized.

(2) The partial candidate warehouse is sufficient in warehouse

The sufficiency of the inventory of the partial candidate warehouse means that for each candidate warehouse in the merchant supply chain, in a part of the candidate warehouses, each commodity in the order satisfies the reservation quantity of the commodity in the order in the inventory of the candidate warehouse, and the commodity with the reservation quantity can be directly provided by using the inventory of the candidate warehouse when the candidate warehouse fulfills the order; while for the remaining candidate warehouses, the inventory in the candidate warehouses where the goods in the order are stored is less than the reserved quantity of the goods, when such candidate warehouses fulfill the order, for some goods in the order, the inventory in the process of the goods is used for performing the performance because the inventory in the candidate warehouses is insufficient to provide the reserved quantity of the goods.

Referring to fig. 10, fig. 10 schematically illustrates a flow chart of an order fulfillment warehouse selection method for a portion of candidate warehouses in the presence of sufficient warehouse inventory in accordance with an embodiment of the present invention.

Before executing the order performance warehouse selection method, determining whether the warehouse storage of each candidate warehouse is sufficient or not according to the reserved quantity of commodities in the order and the information of the candidate warehouse storing the commodities in the order in advance. In the case that only a portion of the candidate warehouses are sufficient in inventory, the order fulfillment and warehouse selection method may include the steps of:

s110, for each candidate warehouse for storing commodities in an order, if the warehouse in the candidate warehouse is sufficient, determining the estimated delivery time and the running cost of the candidate warehouse for fulfilling the order according to steps S901-S902 in FIG. 9, wherein the estimated delivery time and the running cost correspond to 1101a and 1101b respectively;

s1102a, for each candidate warehouse storing commodities in the order, if the inventory in the candidate warehouse storing the commodities in the order is smaller than the preset quantity, determining the latest inventory-in-transit time of the corresponding inventory in transit of each target commodity respectively; the latest time to the warehouse refers to the time to the warehouse of the on-road inventory when the quantity of the commodity in the warehouse after the on-road inventory arrives at the warehouse meets the preset quantity; the target commodity is an order commodity with the commodity in a warehouse less than a preset quantity;

S1102b, determining the latest time from the latest arrival time corresponding to each target commodity as the production start time of the candidate warehouse, and determining the predicted arrival time and the fulfillment cost of the candidate warehouse for fulfilling the order according to the production start time, the production duration of the candidate warehouse, the preset delivery departure time and the delivery duration;

determining the sum of the production starting time and the production duration, comparing the sum with a preset delivery departure time, and determining the earliest departure time in the at least one delivery departure time as the target delivery departure time of the order when the sum is earlier than the at least one delivery departure time on the day indicated by the production starting time; if not, taking the delivery departure time with the earliest date indicated by the production starting time as the target delivery departure time.

S112, for each candidate warehouse, determining the product of the estimated delivery time and the weight coefficient corresponding to the performance cost, and taking the result of adding the products as the performance evaluation value of the candidate warehouse;

and S114, determining a candidate warehouse corresponding to the minimum performance evaluation value as a target performance warehouse of the order.

After determining the target performance warehouse of the order, if the inventory of the target performance warehouse is sufficient, deducting the inventory of the corresponding reservation quantity of the order from the inventory of the target performance warehouse according to the reservation quantity of each commodity in the order, and directly pushing the order to the performance warehouse so that the target performance warehouse can pick and deliver the ordered commodity.

Otherwise, if the target performance warehouse has the commodity which is not required to meet the order in the warehouse, acquiring the inventory quantity information occupied by each commodity in the order according to the reservation quantity of each commodity in the order and the commodity inventory information of the target performance warehouse, and maintaining the commodity inventory information of the target performance warehouse according to the quantity information.

In the embodiment of the invention, the running cost is respectively determined for each candidate warehouse in the supply chain, the estimated delivery time of each candidate warehouse is respectively calculated according to whether commodities in the order meet the requirement of the order in the warehouse, the accurate calculation of the estimated delivery time of the order is realized, the running cost of the order is determined according to the weighted calculation result of the estimated delivery time of each candidate warehouse and the running cost, the running cost and the distribution timeliness of the order are comprehensively considered, the selected running warehouse is more suitable for the order, the supply chain efficiency is improved, and the user experience is optimized.

Next, in order to facilitate a more intuitive understanding of the present invention, a specific order and candidate warehouse will be described as examples, and only illustrative examples will be given.

As shown in fig. 11, assuming that today is 5 months and 20 days, warehouse a has 5 inventory-in-warehouse items sku1 and 3 inventory-in-warehouse items sku 2;

warehouse B has 4 on-the-shelf products sku1, 2 on-the-way products sku2 and will be on-shelf 8:00 am on month 21, and another 4 on-the-way products sku2 and will be on-shelf 10:00 am on month 21.

The user places an order X at 9:00 am on the 5 month and 20 day, the receiving address is in the Jiang area of Hangzhou city of Zhejiang province, 3 commodities sky 1 and 3 sky 2 are purchased.

The information for candidate warehouse a is assumed to be as shown in table 1 below:

TABLE 1

The information for candidate warehouse B is shown in table 2 below:

TABLE 2

User 9:00 orders, plus warehouse production time, i.e. 4 hours, is 13:00 pm, and can catch up with 15:00 delivery departure time. According to the order performance method of the invention, for the following two cases, the target performance warehouse for determining the order X is respectively:

assuming (one) that the inventory in the A, B warehouse meets the required quantity of skus 1, sku2 for the order, then:

(1) Select A warehouse for shipping

Order forecast delivery time t=5 month 20 day 15:00+48h=5 month 22 day 15:00;

the running cost f=1.5+5=6.5 yuan.

(2) Select B warehouse shipping

Order forecast delivery time t=5 month 20 day 15:00+24h=5 month 21 day 15:00;

the running cost f=2+5=7 yuan.

Assuming that aging is prioritized over cost on a business target, setting a weight coefficient of the performance cost F to be 0, and predicting a weight coefficient of the delivery time T to be 1, wherein the performance evaluation value of the A bin is 15:00 on 22 days of 5 months, the performance evaluation value of the B bin is 15:00 on 21 days of 5 months, and comparing the two time B bin with the A bin, the performance evaluation value of the B bin in the performance evaluation value is considered smaller, so that the B bin is taken as a target performance warehouse of the order X.

(II) according to the quantity of sku1 and sku2 in the actual situation of the A, B warehouse, the following steps are:

(1) Select A warehouse delivery (both sku1 and sku2 have in warehouse)

Order forecast delivery time t=5 month 20 day 15:00+48h=5 month 22 day 15:00;

the running cost f=1.5+5=6.5 yuan.

(2) Select B warehouse ship (sku 2 no in-store inventory, only in-transit inventory)

Since sku2 for bin B has only on-road inventory and requires 3 pieces, the following on-road inventory is required for commodity sku2 in order X, depending on its on-road inventory time and number of on-road batches: 1 piece of in-transit inventory of 5.21 days 8:00 to warehouse, 2 pieces of 5.21 days 10:00 to warehouse, so that the latest to warehouse time of commodity sku2 is 5.21 days 10:00, it is expected that order X can be pushed to the warehouse at 5.21 days 10:00, then 10:00 plus 4 hours are 14:00, and the delivery departure time of the warehouse B is 15:00 earlier than the delivery departure time of warehouse B, so that the delivery departure time that can catch up is 5 months 21 days 15:00, then:

Order forecast delivery time t=5 month 21 day 15:00+24h=5 month 22 day 15:00;

the running cost f=2+5=7 yuan.

Assuming that the time efficiency is higher than the cost according to the service objective, the performance evaluation value of the A bin is as large as that of the B bin, namely A, B bins are delivered simultaneously, the performance cost can be further compared, the performance cost based on the A bin is smaller than that of the B bin, so that the delivery of the A bin is better, and the A bin is used as the target performance warehouse of the order X.

Exemplary apparatus

Having described the method of an exemplary embodiment of the present invention, next, an apparatus of an exemplary embodiment of the present invention will be described with reference to the drawings.

The implementation process of the functions and roles of each module in the following device is specifically shown in the implementation process of the corresponding steps in the above method, and will not be described herein. For the device embodiments, reference is made to the description of the method embodiments for the relevant points, since they essentially correspond to the method embodiments.

Fig. 12 schematically illustrates an order fulfillment cartridge selection device according to an embodiment of the invention, the device comprising:

a time cost calculation module 121, configured to determine, according to the order information and information of candidate warehouses storing commodities in the order, an estimated delivery time and a running cost for each candidate warehouse to fulfill the order; wherein, for at least one commodity, the warehouse in the warehouse does not meet the reservation quantity of the candidate warehouse in the order, the estimated delivery time is determined according to the time to the warehouse of the in-transit inventory of the target commodity, otherwise, the estimated delivery time is determined according to the order placing time of the order; the target commodity refers to commodities which do not meet the preset quantity in a warehouse;

the performance evaluation value determining module 122 is configured to perform weighted calculation according to the estimated delivery time and the performance cost, and determine performance evaluation values corresponding to the performance of the order by the candidate warehouses;

And the target performance warehouse determining module 123 is configured to determine a candidate warehouse corresponding to the minimum performance evaluation value as a target performance warehouse of the order.

Optionally, the apparatus further comprises:

Exemplary Medium

Having described an apparatus of an exemplary embodiment of the present invention, a readable storage medium of an exemplary embodiment of the present invention is described next with reference to fig. 13.

In the present exemplary embodiment, the above-described method may be implemented by a program product, such as a portable compact disc read only memory (CD-ROM) and including program code, and may be run on a device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a 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.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RE, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the C programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

Exemplary computing device

Having described the methods, apparatus, and media of exemplary embodiments of the present invention, a computing device of exemplary embodiments of the present invention is next described with reference to FIG. 14.

The computing device 1400 shown in fig. 14 is but one example and should not be taken as limiting the functionality and scope of use of the embodiments of the present disclosure.

As shown in fig. 14, computing device 1400 is represented in the form of a general purpose computing device. Components of computing device 1400 may include, but are not limited to: the at least one processing unit 1401, the at least one storage unit 1402, and a bus 1403 connecting different system components (including the processing unit 1401 and the storage unit 1402).

Bus 1403 includes a data bus, a control bus, and an address bus.

The storage unit 1402 may include readable media in the form of volatile memory, such as Random Access Memory (RAM) 14021 and/or cache memory 14022, and may further include readable media in the form of non-volatile memory, such as Read Only Memory (ROM) 14023.

The storage unit 1402 may also include a program/utility 14025 having a set (at least one) of program modules 14024, such program modules 14024 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Computing device 1400 may also communicate with one or more external devices 1404 (e.g., keyboard, pointing device, etc.).

Such communication may occur through an input/output (I/O) interface 1405. Moreover, computing device 1400 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1406. As shown in FIG. 14, the network adapter 1406 communicates with other modules of the computing device 1400 over the bus 1403. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with computing device 1400, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

It should be noted that although in the above detailed description several units/modules or sub-units/modules of the order fulfilment cartridge selection device are mentioned, such a division is only exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module in accordance with embodiments of the present invention. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.

Furthermore, although the operations of the methods of the present invention are depicted in the drawings in a particular order, this is not required to either imply that the operations must be performed in that particular order or that all of the illustrated operations be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.

While the spirit and principles of the present invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments nor does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. An order performance bin selection method, which is characterized by comprising the following steps:

2. The method of claim 1, wherein the order information includes at least a shipping address; the information of the candidate warehouse at least comprises at least one preset delivery departure time;

determining target delivery duration of the candidate warehouse to fulfill the order according to the receiving address;

3. The method of claim 2, wherein the information of the candidate warehouse further comprises at least a time to warehouse and a lot number of each lot of goods in the in-transit inventory of each good in the order;

4. The method of claim 3, wherein said determining said target delivery departure time based on a latest arrival time corresponding to each of said target commodities and a production duration of said candidate warehouse comprises:

5. The method of claim 1, wherein the weighting calculation based on the estimated time of arrival and the performance cost to determine the performance assessment value for each candidate warehouse to fulfill the order comprises:

6. The method of claim 1, wherein after determining the target warehouse, the method further comprises:

7. An order fulfillment bin selection device, the device comprising:

8. The apparatus of claim 7, wherein the order information includes at least a shipping address; the information of the candidate warehouse at least comprises at least one preset delivery departure time; the time expense calculation module is specifically used for:

determining a target delivery departure time when the candidate warehouse fulfills the order; the target delivery departure time is determined according to the arrival time when the reservation quantity is met after the in-transit inventory of the target commodity arrives at the warehouse, or else, the target delivery departure time is determined according to the order placing time;

9. A readable storage medium having stored thereon a computer program, wherein the program when executed by a processor implements the order fulfillment bin selection method of any one of claims 1-6.

10. A computing device, comprising: a processor, a memory;

the memory is used for storing a computer program;

the processor is configured to execute the order performance bin selection method according to any one of claims 1-6 by invoking the computer program.