CN110276469B - Order placing control method, order placing control device and computer system - Google Patents
Order placing control method, order placing control device and computer system Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Abstract
The embodiment of the application discloses an order placing control method, an order placing control device and a computer system, wherein the method comprises the following steps: determining a release period, wherein order release operation is executed once in each release period; predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time; and according to the work efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system. According to the embodiment of the application, the maximum production capacity of the warehouse can be realized under the condition that the operation complexity of the warehouse is controllable.
Description
Technical Field
The present application relates to the field of order information processing technologies, and in particular, to a method and an apparatus for controlling order placement, and a computer system.
Background
For the network sales platform, warehouse + logistics is a very important part of the whole e-commerce link. In particular, for the platform in the "C2C" mode, both the seller and the buyer belong to users of the platform, and in the initial mode, the platform only functions as an information bridge, and the storage and logistics of specific commodities are automatically solved by the seller users. That is, the seller needs to prepare the warehouse by himself, the buyer user, after placing an order, the relevant staff of the seller user needs to stock goods from the warehouse and give the relevant logistics service provider to perform specific distribution service.
However, with the development of network sales platforms, the platforms no longer function merely as information bridges, but rather more may help the seller user provide some solutions to improve the overall service efficiency and quality. Among these, providing uniform storage and distribution is one of the important aspects. For example, for the "Taobao" platform, a "cuisine" system is provided for a seller user that deploys multiple "cuisine bins" in multiple areas, e.g., "Hangzhou bins," "Shanghai bins," "Beijing bins," etc. The seller user can put the commodity stock which needs to be sold through 'Taobao' into the 'cuisine bird warehouse' in advance, so that after the buyer user places an order online, relevant staff in the cuisine bird warehouse can execute relevant services such as picking, delivery, distribution and the like. That is, in the scheme, the seller user only needs to prepare goods to a specific 'cuisine' in the earlier stage, the follow-up delivery, delivery and other works can be completed in an auxiliary mode by the 'cuisine' system, the unification and standardization of the goods picking, delivery and delivery can be realized, and the service efficiency of the platform can be improved. In addition, because the platforms can be distributed in a plurality of areas, the nearby delivery according to the receiving address appointed by the buyer can be realized, the delivery efficiency can be improved, and the user can receive the purchased goods in a shorter time. Of course, the "bird house" can be used not only for storing the goods of the third party merchant user, but also for preparing the corresponding goods to the "bird house" if the platform has the self-contained goods.
In a word, a large-scale warehouse supply chain system can be provided according to the characteristics of network sales, unified management of warehouse and distribution is realized, and of course, for some large-scale merchant users, the warehouse supply chain system of the large-scale merchant users can be established by themselves, and the like. Regardless of the particular situation, the warehouse supply chain system typically needs to interface with an order system that issues order data to a warehouse management system that packages the items in the order into packages for shipment to the buyer and for distribution to the buyer by a distribution company. However, in the case of products where a large number of merchant users are stored, or during some large promotional campaigns, etc., the number of orders that are to be docked with the in-store supply chain system is often very large and there is often a large number of concurrent orders.
Disclosure of Invention
The application provides an order placing control method, an order placing control device and a computer system, which can maximize the yield of a warehouse under the condition that the operation complexity of the warehouse is controllable.
The application provides the following scheme:
an order processing system, comprising:
the client is used for providing data object information and submitting a request for generating an order according to the data object operation result;
The order system server is used for generating an order according to the request submitted by the client and issuing order information to the warehouse system server;
the warehouse system server is used for generating a delivery task according to the received order information and returning a delivery completion notification message to the order system server after the delivery is completed;
the order system server is also used for predicting the operation efficiency information of the warehouse system in real time and controlling the speed of order placement according to the operation efficiency real-time prediction result information.
An order placement control method, comprising:
determining a release period, wherein order release operation is executed once in each release period;
predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
and according to the work efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system.
An order placing control device, comprising:
the issuing period determining unit is used for determining issuing periods, wherein order issuing operation is executed once in each issuing period;
the productivity prediction unit is used for predicting the operation efficiency information of the warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
And the issuing control unit is used for issuing orders to the warehouse system according to the operation efficiency prediction result information corresponding to the current issuing period.
A computer system, comprising:
one or more processors; and
a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
determining a release period, wherein order release operation is executed once in each release period;
predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
and according to the work efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system.
According to the specific embodiment provided by the application, the application discloses the following technical effects:
according to the embodiment of the application, the operation efficiency information of the warehouse system can be predicted in each issuing period, and then the workload issued to the warehouse system in each issuing period is controlled according to the predicted result. Therefore, the maximum warehouse capacity can be realized under the condition that the operation complexity of the warehouse is controllable.
Of course, it is not necessary for any one product to practice the application to achieve all of the advantages set forth above at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a system architecture provided by an embodiment of the present application;
FIG. 2 is a flow chart of a method provided by an embodiment of the present application;
FIG. 3 is a schematic diagram of an apparatus provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a computer system according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which are derived by a person skilled in the art based on the embodiments of the application, fall within the scope of protection of the application.
In the embodiment of the application, the situation that the order system places orders into the warehouse system can be controlled, wherein, how to coordinate the quantity and the speed of the orders placed into the warehouse management system by the order system becomes a problem to be considered, and the operation selection dimension and the operation complexity of the warehouse are increased when too many orders are placed at one time; too few orders are placed at a time and warehouse capacity cannot be maximized. For this purpose, in a specific implementation, the operation efficiency information of the warehouse system may be determined first, and then the order system controls the number and speed of order placement according to the operation efficiency information of the warehouse system. However, the work efficiency of the warehouse system generally changes dynamically with time, and it is difficult to control the order placement speed by presetting a fixed value. Therefore, in the embodiment of the application, the period of order placement can be determined first, then the current operation efficiency information of the warehouse system is determined in each placement period, and then the order placement speed is controlled according to the current operation efficiency. For example, for a large warehouse management system such as "bird" and the like, the order quantity is very large, and the processing capacity of the warehouse is usually in the order of hundreds of thousands of orders per second, so that a specific one-second issuing period can be set, that is, the order system issues an order to the warehouse every second, at this time, the job quantity that can be processed by the warehouse system every second can be determined, and thus the number of orders that need to be issued to the warehouse system every second can be determined. With the arrival of each issuing period, statistics on the operation efficiency of the warehouse system is continuously performed, for example, if the order system makes an order to the warehouse system once every second, the operation efficiency information of the warehouse needs to be counted once every second, and each time the statistics is performed, the statistics can be performed based on the latest delivery completion notification message and the like returned by the warehouse system, and the real-time operation efficiency information of the warehouse system can be obtained as much as possible. In a word, the operation efficiency information of the warehouse system is dynamically determined, and the speed of the order system for issuing orders to the warehouse system is controlled according to the operation efficiency information, so that the warehouse capacity can be maximized under the condition that the operation complexity of the warehouse is controllable.
Referring specifically to fig. 1 from a product architecture perspective, embodiments of the present application may involve the following: the order system is mainly used for generating a trade order according to the online ordering condition of consumer users, buyer users and the like through mobile terminal equipment and the like, and then, a specific delivery warehouse can be selected according to the receiving address and the like of the users to generate a corresponding logistics order and the like, wherein the logistics order can be used as an order to be issued and issued to the warehouse system in a specific issuing period. Of course, in practical applications, the order placed specifically to the warehouse system may also be a trade order, and is not specifically limited herein, and therefore, is collectively referred to as an order. And then a warehouse system, wherein the warehouse system specifically comprises an entity operation part and an information processing part, and the entity operation part mainly comprises various warehouse resources, such as storage space resources, manpower resources, packaging, in-warehouse transportation resources and the like, and is specifically used for completing operations of picking, packaging and the like in the delivery process. The information processing part is used for interfacing with the order system, on one hand, receiving the order issued by the order system, and on the other hand, for the order of which the shipment is completed, a notification message of the shipment completion can also be returned to the order system. After receiving the notification message of the delivery completion, the order system can also provide specific messages to corresponding clients such as consumer users, buyer users and the like for the users to inquire. The embodiment of the application mainly relates to an information processing part between an order system and a warehouse system, in particular to optimization of an order information issuing link of the order system to the warehouse system. Specific implementations are described in detail below.
Example 1
This embodiment first provides an order processing system, see fig. 1, which may include:
a client 101, configured to provide data object information, and submit a request for generating an order according to a data object operation result;
an order system server 102, configured to generate an order according to a request submitted by a client, and issue order information to a warehouse system server;
the warehouse system server 103 is used for generating a delivery task according to the received order information and returning a delivery completion notification message to the order system server after the delivery is completed;
the order system server 102 is further configured to predict, in real time, the operation efficiency information of the warehouse system, and control the speed of order placement according to the operation efficiency real-time prediction result information.
A detailed description of the manner in which the speed of order placement is controlled will be given below, mainly from the order system, i.e. for a related implementation in this embodiment one, reference may be made to the description in the following embodiment two.
Example two
In a second embodiment of the present application, mainly from the perspective of an order system, an order placement control method is provided, and referring to fig. 2, the method may specifically include:
S201: determining a release period, wherein order release operation is executed once in each release period;
in the embodiment of the application, the issuing period can be set first, that is, the order system can issue periodic orders according to the issuing period, each issuing period issues a batch of orders to the warehouse system, however, the number of orders issued in each issuing period may be different, and the number of orders is specifically required to be determined according to the working efficiency of the warehouse system in the current issuing period.
The time length of the specific issuing period may be determined according to the order magnitude actually generated and the magnitude of the warehouse operation capability, for example, as described above, for a system such as "cuisine bird", the processing capability of the warehouse system is usually hundreds of thousands of orders per second due to the large scale of the system, so that the issuing period may be set to one second, that is, the order issuing is performed to the warehouse system once per second, and the number of orders issued each time is usually hundreds of thousands of orders, where the specific number is the problem that needs to be determined in the embodiment of the present application. Of course, for some small systems, if the order quantity is not so large, the order placement period may be extended appropriately, for example, to one minute, etc.
S202: predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
after the specific issuing period is determined, the operation efficiency of the warehouse system can be counted for one time in each issuing period, so that the operation efficiency corresponding to each issuing period is predicted, and further more accurate order issuing speed control can be realized. The method specifically includes that when the warehouse operation efficiency corresponding to the current issuing period is counted, the work amount which can be completed by the warehouse system in the current issuing period is predicted, and the predicted value is used as warehouse operation efficiency information corresponding to the current issuing period. That is, assuming that the delivery cycle is one second, the statistical process predicts the amount of work that can be completed in the warehouse in the next second by the history data of the warehouse for shipment, and the amount of work can be specifically represented by information such as the number of orders.
In a specific implementation, since the warehouse system performs notification of completion of delivery to the order system after completing delivery according to the order provided by the order system, the specific notification may correspond to the order, and in general, each notification may correspond to an order, that is, each time delivery of an order is completed, a delivery completion notification message may be returned to the order system, where identification information such as an ID of the order may be carried. Of course, in a specific implementation, there may be a case where one notification corresponds to a plurality of orders. In short, the order system can obtain the delivery completion notification fed back by the warehouse system, and further, the operation efficiency of the warehouse can be counted according to the delivery completion notification message as the historical data of warehouse delivery.
In one implementation manner, when the warehouse operation efficiency corresponding to the current issuing period is predicted, determining a time period of a first time length preset forward at the starting time point of the current issuing period as a first statistics time period, and determining order quantity information associated with the delivery completion notification received in the first statistics time period; and then, predicting the real-time operation efficiency information corresponding to the current issuing period according to the order number, the preset first time length information and the time length information of the issuing period.
In particular, the first time length information may be simply set as a delivery period, that is, the order number information associated with the received delivery completion notification in the last delivery period may be determined, and then, the real-time operation efficiency information corresponding to the current delivery period may be predicted according to the order number and the time length information corresponding to the delivery period. That is, the warehouse work efficiency in the previous issue period may be used as a predicted value of the amount of work that can be handled in the current issue period. For example, the delivery cycle is one second, that is, the job volume that can be handled in the next second can be predicted based on information such as the number of orders that the warehouse system has shipped to be completed in the last second.
Alternatively, in a specific implementation, the preset first time period may be associated with a first resource scheduling period of the warehouse system on the same day. That is, for warehouse systems, resources within a warehouse are typically scheduled once in a certain period, for example, a job change by a worker is performed every two hours, a job style is changed every two hours, and so on, during the same day. In the same scheduling period, the configuration of resources such as operators and operation modes is generally the same, and therefore, the work efficiency is generally in a relatively stable state. At this time, the first time period may be two hours, that is, statistical data of two hours before the current time may be taken out in each issuing period, and information such as the number of orders for completing shipment in total in the two hours may be determined, and then, current operation efficiency information of the warehouse may be determined according to the information of the number of orders divided by the information of the time period of the two hours. In the division operation, the conversion of the time length information may be performed first, specifically, the conversion may be performed according to the length of the issue period, for example, it is determined how many issue periods are included in the two hours, for example, N, and then the information such as the total number of orders is divided by N, so as to determine the real-time working efficiency information.
After the real-time operation efficiency information is calculated, when the operation amount information issued to the warehouse system in the current issue period is determined according to the operation efficiency information corresponding to the current issue period, the operation amount information issued to the warehouse system in the current issue period can be determined directly according to the real-time operation efficiency information.
Or, in another implementation manner, the historical average operation efficiency information can be combined to perform comprehensive calculation, and the operation efficiency information of the warehouse system corresponding to the current issuing period is determined according to the operation efficiency information obtained by comprehensive calculation. In particular, since warehouse systems have more macroscopic resource scheduling behavior from a long-term perspective, in addition to scheduling resources within a day. For example, the resource scheduling is performed once a week, the larger-scale resource scheduling is performed once a month, and the like, wherein in the same scheduling period, since the operating personnel, the operating mode, the site and the environmental factors are approximately the same, the characteristics of similarity may exist in the operating efficiency, and therefore, in particular, when the prediction of the operating efficiency of the warehouse is performed, besides the real-time operating efficiency in the last two hours, the average operating efficiency in the same week, the average operating efficiency in the same month, and the like can be considered, and then the real-time operating efficiency and the historical average operating efficiency are integrated again, so that the prediction of the operating efficiency of the warehouse corresponding to the current issuing period is performed. For example, assume that the real time point of the current issue period is 10 hours 20 minutes 30 seconds, and the current date is 3 months 15 days, thursday; the real-time operation efficiency from 8 hours, 20 minutes, 29 seconds to 10 hours, 20 minutes, 29 seconds, the historical average operation efficiency from Monday to Tuesday in the week and the historical average operation efficiency from 3 months, 1 day to 3 months, 14 days in the month can be counted, and then the warehouse operation efficiency information corresponding to the current issuing period is obtained by combining the three.
Specifically, a second resource scheduling period (may be one week or other time length) and a third resource scheduling period (may be one month or other time length) of the warehouse system may be obtained, where the second resource scheduling period is greater than the first resource scheduling period and less than the third resource scheduling period, and the second resource scheduling period and the third resource scheduling period are both positive integers greater than 1 day. Then, the first historical average operation efficiency information of the warehouse system in the second resource scheduling period where the current issuing period is located and the second historical average operation efficiency information of the warehouse system in the third resource scheduling period where the current issuing period is located can be obtained. In this way, when the job volume information issued to the warehouse system in the current issue period is determined according to the job efficiency information corresponding to the current issue period, the job efficiency information corresponding to the current issue period can be determined according to the real-time job efficiency information, the first historical average job efficiency information and the second historical average job efficiency information, and the job volume information issued to the warehouse system in the current issue period is determined according to the job efficiency information. Wherein, various different operation efficiency information can correspond to different weights, for example:
Average productivity per unit time: n, weight RN
Average productivity per unit time of the previous week: m1, weight R1
Average productivity per unit time of the previous week: m2, weight R2
The predicted amount of work that can be done in the current issue cycle may be:
(N×RN+M1×R1+M2×R2)/(RN+R1+R2)
specifically, when the first historical average operation efficiency is counted, a first date from a start date of a second resource scheduling period to which a current issuing period belongs to a date of the current issuing period is determined as a second counting time period; and determining a previous date from the starting date of a third resource scheduling period to which the current issuing period belongs to the date of the current issuing period as a third statistical time period. In this way, the first historical average job efficiency information is determined according to the total number of orders corresponding to the delivery completion notification received in the second statistical period and the second time length corresponding to the second statistical period; and the second historical average operation efficiency information is determined according to the total number of orders corresponding to the delivery completion notification received in the third statistical time period and the third time length corresponding to the third statistical time period.
In the calculation of the work efficiency, the order quantity information processed for a certain period of time is mainly considered, but the order itself has an influence on the work performance during the actual warehouse work. Such as: typically, orders for multiple items are more difficult than orders for a single item. That is, job difficulties may vary from order to order, which may result in inaccurate warehouse capacity estimates if the order quantity information for shipment completion within the same length of time is simply considered. For example, M orders are completed for a certain time period t1, and N orders are completed for another same time period t2, where M > N, but since there are many orders containing multiple commodities in each order in t2, the actual capacity may be larger than the capacity in the time period t1, and so on. The conditions affecting the operation difficulty may include the number of commodities, package material requirements, picking difficulty, special package materials, etc., where these information may be known in advance under the condition of knowing the order information, so that the operation difficulty corresponding to each order may be calculated respectively.
For this reason, in a preferred embodiment of the present application, in particular, when determining the corresponding operation efficiency according to the time length information of the statistical time period and the total number of orders corresponding to the shipment completion notification received in the statistical time period, whether the real-time operation efficiency or the first historical average operation efficiency or the second historical average operation efficiency, the detail information of each order corresponding to the shipment completion notification received in the statistical time period may be first determined, where the detail information includes information affecting the difficulty of warehouse operation, for example, the number of commodities in the order, package material requirements, picking difficulty, special packages, and the like. Then, according to the detail information of each order and preset operation difficulty rule information, determining operation difficulty coefficient information associated with each order; further, the corresponding job efficiency may be determined according to the time length information of the statistical time period, the total number of orders corresponding to the shipment completion notification received in the statistical time period, and job difficulty coefficient information corresponding to each order. For example, when calculating the working efficiency, the difficulty coefficients corresponding to the orders in a specific time length can be added, the addition result can more accurately represent the working amount completed by the warehouse in the same time length, and then the ratio of the working amount to the specific time length is determined, so that the actual working efficiency of the warehouse system can be more accurately determined.
Specifically, when determining the difficulty coefficient of an order, a correspondence between attribute values of various factors and the difficulty value may be provided in advance, then, for a specific order, the attribute values of the various factors may be determined first, then, the correspondence is compared and converted into the difficulty value, and then, the difficulty coefficient is calculated according to a specific difficulty coefficient calculation formula. For example, in one implementation, the correspondence between the attribute values and the difficulty values of the various factors may be as shown in table 1:
TABLE 1
| Factor type | Factors affecting packaging | Factor value | Difficulty value | Weighting of |
| 001 | Quantity of commodity | 1 | 1 | 1 |
| 001 | Quantity of commodity | 10 | 3 | 3 |
| 001 | Quantity of commodity | 30 | 5 | 5 |
| 001 | Quantity of commodity | 50 | 7 | 7 |
| 001 | Quantity of commodity | 100 | 9 | 9 |
| 001 | Quantity of commodity | 200 | 10 | 10 |
| 002 | Requirements of packing material | 0 | 1 | 1 |
| 002 | Requirements of packing material | 1 | 5 | 2 |
| 002 | Requirements of packing material | 10 | 10 | 5 |
| 003 | Difficulty of picking up goods | 0 | 1 | 1 |
| 003 | Difficulty of picking up goods | 1 | 5 | 2 |
| 003 | Difficulty of picking up goods | 10 | 10 | 5 |
| 004 | Special packaging requirements | 0 | 1 | 1 |
| 004 | Special packaging requirements | 1 | 5 | 2 |
| 004 | Special packaging requirements | 10 | 10 | 5 |
The job difficulty coefficient calculation formula of the order may be:
r＝(d1w1+d2w2+d3w3+…+diwi)/(w1+w2+w3+…+wi) (1)
wherein, the r value can be 1-10, and the lower the r value is, the lower the operation difficulty is;
d is a factor difficulty value;
a w factor weight;
i factors.
For example, if the number of commodities included in a certain order is 10, the package requirement is 1, the picking difficulty is 10, and the special package requirement is 0, it can be known from the above table 1 that the difficulty value corresponding to the commodity number factor is 3 and the weight is 3; the difficulty value corresponding to the packing material requirement factor is 5, and the weight is 2; the difficulty value corresponding to the order picking difficulty factor is 10, and the weight is 5; the difficulty value corresponding to the special packaging requirement factor is 1, and the weight is 1. Thus, according to the above formula (1), the difficulty coefficient of the order can be calculated as:
r＝(3×3+5×2+10×5+1×1)/(3+2+5+1)＝5.38
The difficulty coefficient of other orders can be calculated according to the difficulty coefficient.
S203: and according to the work efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system.
After the warehouse operation efficiency information corresponding to the current issuing period is obtained, the operation amount information issued to the warehouse system in the current issuing period can be determined. For the order system, orders generated in the system can be uniformly stored in a temporary order pool, and can be ordered according to the time sequence generated by the orders, and the like. When placing orders in each placing cycle, the corresponding number of orders can be taken out from the order pool from front to back, placed to the warehouse system, and deleted from the order pool.
When determining the workload required to be issued in the current issue period, it may be specifically determined which orders may be issued. If the determined operation efficiency information is the number of orders corresponding to each period, the determined operation amount may be order number information, for example, the number of orders that can be completed in the next second by the warehouse system is predicted, and then, when the order is placed in the next second, the corresponding number of orders is taken out from the order pool according to the number of orders to be placed.
However, as described above, simply considering the number of orders may cause inaccuracy, and therefore, the job difficulty coefficient information of each order may be considered when predicting the job efficiency. In this case, when the workload information issued to the warehouse system in the current issue period is determined according to the operation efficiency information corresponding to the current issue period, the detail information corresponding to the order to be issued may be obtained first, where the detail information includes information affecting the warehouse operation difficulty; then, according to the detail information of each order to be placed and preset operation difficulty rule information, determining operation difficulty coefficient information associated with each order to be placed; and finally, determining the order to be issued to the warehouse system in the current issuing period according to the operation efficiency information corresponding to the current issuing period and the operation difficulty coefficient information corresponding to each to-be-issued order.
When the difficulty coefficient is calculated for the order to be placed, the difficulty value and the weight corresponding to each factor in each order can be queried in the manner of table 1, and then calculated according to the formula (1). In this way, each order may be converted into a corresponding difficulty factor. And then, according to the operation efficiency information corresponding to the current issuing period, determining the operation amount information issued to the warehouse system in the current issuing period. Specifically, one order can be taken out of the order pool each time, after the difficulty coefficient is calculated, the calculated difficulty coefficient is accumulated with the difficulty coefficient of the order which is taken out before until the accumulated value reaches the work quantity which can be completed and is predicted for the current issuing period, a new order is not taken out of the order pool, and the taken order is taken as the order to be issued in the current issuing period.
In short, according to the embodiment of the application, the operation efficiency information of the warehouse system can be predicted in each issuing period, and then the operation amount issued to the warehouse system in each issuing period is controlled according to the predicted result. Therefore, the maximum warehouse capacity can be realized under the condition that the operation complexity of the warehouse is controllable.
Corresponding to the order placing control method provided by the embodiment of the present application, the embodiment of the present application also provides an order placing control device, referring to fig. 3, the device may specifically include:
a delivery cycle determining unit 301, configured to determine a delivery cycle, where an order delivery operation is performed once in each delivery cycle;
the productivity prediction unit 302 is configured to predict, for a current issue period, operation efficiency information of the warehouse system, where the operation efficiency dynamically changes with time;
and the issuing control unit 303 is configured to issue an order to the warehouse system according to the operation efficiency prediction result information corresponding to the current issuing period.
The operation efficiency information corresponding to the current issuing period is represented by a predicted value of the work amount which can be completed by the warehouse system in the current issuing period.
In particular, the method may predict the amount of work that can be completed by the warehouse system in the current delivery cycle, including:
a notification information receiving unit, configured to receive shipping completion notification information returned by the warehouse system, where the shipping completion notification information corresponds to an order;
a first statistics time period determining unit, configured to determine a time period of a first time length preset forward from a start time point of the current issue period as a first statistics time period, and determine order quantity information associated with a shipment completion notification received in the first statistics time period;
the first prediction unit is used for predicting the real-time operation efficiency information corresponding to the current issuing period according to the order number, the preset first time length information and the time length information of the issuing period.
In specific implementation, the first time length is a sending-down period;
at this time, the first statistical time period determining unit may specifically be configured to:
determining order quantity information associated with the received shipping completion notification for the last issue period;
the first prediction unit may specifically be configured to:
and predicting the real-time operation efficiency information corresponding to the current issuing period according to the order number and the time length information corresponding to the issuing period.
Alternatively, the preset first time period may be associated with a first resource scheduling period of the warehouse system on the same day.
In one manner, the issuing control unit may specifically be configured to:
and determining the workload information issued to the warehouse system in the current issuing period according to the real-time operation efficiency information.
Alternatively, in another implementation, the apparatus may further include:
a scheduling period obtaining unit, configured to obtain a second resource scheduling period and a third resource scheduling period of the warehouse system, where the second resource scheduling period is greater than the first time length and less than the third resource scheduling period, and the second resource scheduling period and the third resource scheduling period are both positive integers greater than 1 day;
a historical operation efficiency obtaining unit, configured to obtain first historical average operation efficiency information of the warehouse system in a second resource scheduling period where the current issuing period is located, and second historical average operation efficiency information of the warehouse system in a third resource scheduling period where the current issuing period is located;
the issuing control unit may specifically be configured to:
And determining the working efficiency information corresponding to the current issuing period according to the real-time working efficiency information, the first historical average working efficiency information and the second historical average working efficiency information, and determining the working amount information issued to a warehouse system in the current issuing period according to the working efficiency information.
In specific implementation, a first date from a start date of a second resource scheduling period to which a current issuing period belongs to a date of the current issuing period is determined as a second statistical time period; determining a previous date from the starting date of a third resource scheduling period to which the current issuing period belongs to the date of the current issuing period as a third statistical time period;
the first historical average operation efficiency information is determined according to the total number of orders corresponding to the delivery completion notification received in the second statistical time period and the second time length corresponding to the second statistical time period;
and the second historical average operation efficiency information is determined according to the total number of orders corresponding to the delivery completion notification received in the third statistical time period and the third time length corresponding to the third statistical time period.
In addition, the apparatus may further include:
an order detail information obtaining unit, configured to determine detail information of each order corresponding to the shipment completion notification received in the statistical time period, where the detail information includes information affecting warehouse operation difficulty;
the difficulty coefficient determining unit is used for determining operation difficulty coefficient information associated with each order according to the detail information of each order and preset operation difficulty rule information;
the job efficiency determining unit is used for determining the corresponding job efficiency according to the time length information of the statistical time period, the total number of orders corresponding to the delivery completion notification received in the statistical time period and the job difficulty coefficient information corresponding to each order.
Specifically, the issuing control unit may specifically include:
the order detail information obtaining subunit is used for obtaining detail information corresponding to an order to be placed, wherein the detail information comprises information affecting the operation difficulty of a warehouse;
the difficulty coefficient determining subunit is used for determining operation difficulty coefficient information associated with each order to be placed according to the detail information of each order to be placed and preset operation difficulty rule information;
the order determining subunit is used for determining the order issued to the warehouse system in the current issuing period according to the operation efficiency information corresponding to the current issuing period and the operation difficulty coefficient information corresponding to each to-be-issued order.
In addition, the embodiment of the application also provides a computer system, which can comprise:
one or more processors; and
a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
determining a release period, wherein order release operation is executed once in each release period;
predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
and according to the work efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system.
Fig. 4 illustrates an architecture of a computer system, which may include a processor 410, a video display adapter 411, a disk drive 412, an input/output interface 413, a network interface 414, and a memory 420, among others. The processor 410, video display adapter 411, disk drive 412, input/output interface 413, network interface 414, and memory 420 may be communicatively coupled via a communication bus 430.
The processor 410 may be implemented by a general-purpose CPU (Central Processing Unit ), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc., for executing relevant programs to implement the technical scheme provided by the present application.
The Memory 420 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 420 may store an operating system 421 for controlling the operation of computer system 400, and a Basic Input Output System (BIOS) for controlling the low-level operation of computer system 400. In addition, a web browser 423, a data storage management system 424, an order placement control system 425, and the like may also be stored. The order placement control system 425 may be an application program that implements the operations of the foregoing steps in the embodiments of the present application. In general, when the technical solution provided by the present application is implemented by software or firmware, relevant program codes are stored in the memory 420 and invoked by the processor 410 for execution.
The input/output interface 413 is used to connect to an input/output module to realize information input and output. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
The network interface 414 is used to connect communication modules (not shown) to enable communication interactions of the device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).
Bus 430 includes a path to transfer information between various components of the device (e.g., processor 410, video display adapter 411, disk drive 412, input/output interface 413, network interface 414, and memory 420).
In addition, the computer system 400 may also obtain information of specific acquisition conditions from the virtual resource object acquisition condition information database 441 for making condition judgment, and so on.
It should be noted that although the above devices only show the processor 410, the video display adapter 411, the disk drive 412, the input/output interface 413, the network interface 414, the memory 420, the bus 430, etc., in the specific implementation, the device may include other components necessary to achieve normal operation. Furthermore, it will be appreciated by those skilled in the art that the apparatus may include only the components necessary to implement the present application, and not all of the components shown in the drawings.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the embodiments or some parts of the embodiments of the present application.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for a system or system embodiment, since it is substantially similar to a method embodiment, the description is relatively simple, with reference to the description of the method embodiment being made in part. The systems and system embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present application without undue burden.
The order placing control method, device and computer system provided by the application are described in detail, and specific examples are applied to illustrate the principle and implementation of the application, and the description of the above examples is only used for helping to understand the method and core idea of the application; also, it is within the scope of the present application to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the application.
Claims (13)
1. An order processing system, comprising:
the client is used for providing data object information and submitting a request for generating an order according to the data object operation result;
the order system server is used for generating an order according to the request submitted by the client and issuing order information to the warehouse system server;
the warehouse system server is used for generating a delivery task according to the received order information and returning a delivery completion notification message to the order system server after the delivery is completed;
the order system server is also used for predicting the operation efficiency information of the warehouse system in real time and controlling the speed of order placement according to the operation efficiency real-time prediction result information; the operation efficiency prediction result information corresponding to the issuing period is dynamically determined according to the delivery completion notification message; the delivery completion notification message is used as historical data of warehouse delivery; an order placement operation is performed once in a placement cycle.
2. An order placing control method is characterized by comprising the following steps:
determining a release period, wherein order release operation is executed once in each release period;
predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
according to the operation efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system; the operation efficiency prediction result information is dynamically determined according to the delivery completion notification message returned by the warehouse system server; the shipment completion notification message is used as historical data for warehouse shipment.
3. The method of claim 2, wherein the step of determining the position of the substrate comprises,
and the operation efficiency information corresponding to the current issuing period is represented by a predicted value of the work amount which can be completed by the warehouse system in the current issuing period.
4. The method of claim 3, wherein the step of,
predicting the amount of work that can be completed by the warehouse system in the current issue period by:
receiving delivery completion notification information returned by a warehouse system, wherein the delivery completion notification information corresponds to an order;
Determining a time period of a first time length preset forward from a starting time point of the current issuing period as a first statistical time period, and determining order quantity information associated with a delivery completion notification received in the first statistical time period;
and predicting real-time operation efficiency information corresponding to the current issuing period according to the order number, the preset first time length information and the time length information of the issuing period.
5. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
the first time length is a sending-down period;
the predicting the work load which can be completed by the warehouse system in the current issuing period comprises the following steps:
determining order quantity information associated with the delivery completion notification received in the last delivery period;
and predicting the real-time operation efficiency information corresponding to the current issuing period according to the order number and the time length information corresponding to the issuing period.
6. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
the preset first time period is related to a first resource scheduling period of the warehouse system in the same day.
7. The method of claim 4, wherein the step of determining the position of the first electrode is performed,
And performing order placement on the warehouse system according to the operation efficiency prediction result information corresponding to the current placement period, wherein the order placement comprises the following steps:
and determining the workload information issued to the warehouse system in the current issuing period according to the real-time operation efficiency information, and issuing orders.
8. The method as recited in claim 4, further comprising:
obtaining a second resource scheduling period and a third resource scheduling period of the warehouse system, wherein the second resource scheduling period is longer than the first time length and shorter than the third resource scheduling period, and the second resource scheduling period and the third resource scheduling period are positive integers which are longer than 1 day;
acquiring first historical average operation efficiency information of the warehouse system in a second resource scheduling period in which the current issuing period is located, and second historical average operation efficiency information of the warehouse system in a third resource scheduling period in which the current issuing period is located;
and performing order placement on the warehouse system according to the operation efficiency prediction result information corresponding to the current placement period, wherein the order placement comprises the following steps:
and determining the working efficiency information corresponding to the current issuing period according to the real-time working efficiency information, the first historical average working efficiency information and the second historical average working efficiency information, determining the working amount information issued to a warehouse system in the current issuing period according to the working efficiency information, and issuing orders.
9. The method of claim 8, wherein the step of determining the position of the first electrode is performed,
determining a previous date from a starting date of a second resource scheduling period to which a current issuing period belongs to a date of the current issuing period as a second statistical time period; determining a previous date from the starting date of a third resource scheduling period to which the current issuing period belongs to the date of the current issuing period as a third statistical time period;
the first historical average operation efficiency information is determined according to the total number of orders corresponding to the delivery completion notification received in the second statistical time period and the second time length corresponding to the second statistical time period;
and the second historical average operation efficiency information is determined according to the total number of orders corresponding to the delivery completion notification received in the third statistical time period and the third time length corresponding to the third statistical time period.
10. The method according to any one of claims 4 to 9, wherein,
specifically, when determining the corresponding job efficiency according to the time length information of the statistical time period and the total number of orders corresponding to the shipment completion notification received in the statistical time period, the method includes:
determining detail information of each order corresponding to the delivery completion notification received in the statistical time period, wherein the detail information comprises information affecting warehouse operation difficulty;
Determining job difficulty coefficient information associated with each order according to the detail information of each order and preset job difficulty rule information;
and determining the corresponding operation efficiency according to the time length information of the statistical time period, the total number of orders corresponding to the delivery completion notification received in the statistical time period and the operation difficulty coefficient information corresponding to each order.
11. The method according to any one of claim 2 to 9, wherein,
and performing order placement on the warehouse system according to the operation efficiency prediction result information corresponding to the current placement period, wherein the order placement comprises the following steps:
obtaining detail information corresponding to an order to be placed, wherein the detail information comprises information affecting warehouse operation difficulty;
determining the operation difficulty coefficient information associated with each order to be placed according to the detail information of each order to be placed and preset operation difficulty rule information;
and determining orders issued to the warehouse system in the current issuing period according to the operation efficiency information corresponding to the current issuing period and the operation difficulty coefficient information corresponding to each to-be-issued order.
12. An order placing control device, characterized by comprising:
the issuing period determining unit is used for determining issuing periods, wherein order issuing operation is executed once in each issuing period;
The productivity prediction unit is used for predicting the operation efficiency information of the warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
the issuing control unit is used for issuing orders to the warehouse system according to the operation efficiency prediction result information corresponding to the current issuing period; the operation efficiency prediction result information is dynamically determined according to the delivery completion notification message returned by the warehouse system server; the shipment completion notification message is used as historical data for warehouse shipment.
13. A computer system, comprising:
one or more processors; and
a memory associated with the one or more processors, the memory for storing program instructions that, when read for execution by the one or more processors, perform the operations of:
determining a release period, wherein order release operation is executed once in each release period;
predicting the operation efficiency information of a warehouse system according to the current issuing period, wherein the operation efficiency changes dynamically along with time;
according to the operation efficiency prediction result information corresponding to the current issuing period, issuing an order to the warehouse system; the operation efficiency prediction result information is dynamically determined according to the delivery completion notification message returned by the warehouse system server; the shipment completion notification message is used as historical data for warehouse shipment.
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