Method and device for determining unit service value

Abstract

The invention discloses a method and device for determining unit service value. A specific embodiment of the method comprises: according to obtained logistics warehouse data, determining time consumption information of unit business volume of a target object under different service types, the service types being related to service links, receipt types in the service links, and business volume metering types; determining a function model representing a corresponding relationship between the time consumption information of the target object under different service types and the unit service value; and under a preset constraint condition, based on the function model, minimizing the sum of the time consumption information under different service types, and determining target unit service values of the target object under different service types. The accuracy and rationality of the determined target unit service value of the target object under different service types are improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computer technology, specifically to the field of intelligent logistics warehousing, and more particularly to a method, device, computer-readable medium, and electronic device for determining a unit service value. Background Art

[0002] The traditional method of billing for warehouse labor is to charge by day or by operation time. After implementing refined warehouse management, the billing starts by piece. Different billing strategies are formulated according to different business links (such as acceptance, shelving, packaging, etc.), document types (such as bulk orders, ordinary orders, etc.), and business volume measurement types (piece quantity, order quantity, SKU (Stock Keeping Unit, minimum inventory unit) quantity, etc.) to improve the efficiency of the warehouse operation system. However, when the business party formulates the service price of each business type, it is determined based on the operating conditions of the previous cycle, that is, the service price of each business link in the current cycle is determined by comparing the cost of the previous cycle with the business volume of the previous cycle. The pricing process of the business party under each business type lacks quantitative guidance. Summary of the invention

[0003] The embodiments of the present application provide a method, device, computer-readable medium, and electronic device for determining a unit service value.

[0004] In a first aspect, an embodiment of the present application provides a method for determining a unit service value, comprising: determining, based on the acquired logistics warehouse data, the time-consuming information of the unit business volume of the target object under different service types, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; determining a function model that characterizes the correspondence between the time-consuming information of the target object under different service types and the unit service value; under preset constraints, based on the function model, minimizing the sum of the time-consuming information under different service types, and determining the target unit service value of the target object under different service types.

[0005] In some examples, the above-mentioned function model for determining the correspondence between the time consumption information and the unit service value of the target object under different service types includes: normalizing the time consumption information under different service types to determine the unit service value ratio under different service types; determining the benchmark unit service value of the target object under different service types according to the total cost of the logistics warehouse, the business volume under different service types and the unit service value ratio; determining the service value elasticity according to the time consumption information and unit service value under different service types, wherein the service value elasticity represents the degree of influence of the change in unit service value on the time consumption information; determining the function model for representing the correspondence between the time consumption information and the unit service value of the target object under different service types according to the benchmark unit service value, service value elasticity and benchmark time consumption information under different service types, wherein the benchmark time consumption information represents the average of the time consumption information of the logistics warehouse within a first preset time period.

[0006] In some examples, the above-mentioned determination of the benchmark unit service value of the target object under different service types based on the total cost of the logistics warehouse, the business volume under different service types, and the unit service value ratio includes: determining the total benchmark unit service value based on the total cost of the logistics warehouse, and the business volume and unit service value ratio under different service types, wherein the total benchmark unit service value represents the sum of the benchmark unit service values ​​under each service type; determining the benchmark unit service value of the target object under different service types based on the total benchmark unit service value and the unit service value ratio under different service types.

[0007] In some examples, the above-mentioned determining the service value elasticity based on the time consumption information and unit service value under different service types includes: determining the first function item based on the unit service value under different service types and the service value elasticity to be determined; determining the second function item based on the time consumption information under different service types; fitting the first function item and the second function item to determine the service value elasticity of the target object under different service types.

[0008] In some examples, the above-mentioned method, under preset constraints, based on a function model, minimizes the sum of time-consuming information under different service types to determine the target unit service value of the target object under different service types, including: determining a first constraint corresponding to the total cost of the logistics warehouse in the time-consuming information optimization process according to the benchmark cost of the logistics warehouse and a first preset parameter representing the upper limit of the cost adjustment, wherein the benchmark cost represents the average total cost of the logistics warehouse in the second preset time period; determining a second constraint corresponding to the time-consuming information in the time-consuming information optimization process according to the benchmark time-consuming information of the logistics warehouse; determining a third constraint corresponding to the unit service value in the time-consuming information optimization process according to the benchmark unit service value, the second preset parameter representing the upper limit of the unit service value adjustment, and the third preset parameter representing the lower limit of the unit service value adjustment; under the constraints of the first constraint, the second constraint and the third constraint, based on the function model, minimize the sum of time-consuming information under different service types to determine the target unit service value of the target object under different service types.

[0009] In some examples, the above-mentioned method determines the time-consuming information of the unit business volume of the target object under different service types based on the acquired logistics warehouse data, including: determining the third function item based on the business volume of the target object under different service types and the time-consuming information to be determined; fitting the third function item and the total operation time of the target object to determine the time-consuming information of the target object under different service types.

[0010] In some examples, the above method also includes: simulating the operation process of the logistics warehouse through a simulation system according to the target unit service value of the target object under different service types, determining and displaying the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects.

[0011] In some examples, the above-mentioned target unit service value of the target object under different service types is used to simulate the operation process of the logistics warehouse through a simulation system to determine and display the simulated cost of the logistics warehouse and the balance data of the benefits between the target objects, including: randomly generating simulated business volume under different service types; determining and displaying the simulated cost of the logistics warehouse and the balance data of the benefits between the target objects according to the simulated business volume, target unit service value and time consumption information corresponding to the target unit service value under different service types.

[0012] In some examples, the above method also includes: in response to receiving an adjustment instruction for the target unit service value, re-executing the coordinated optimization process of the function model according to the adjusted first preset parameter, second preset parameter, third preset parameter and the unit service value ratios corresponding to different service types.

[0013] In the second aspect, an embodiment of the present application provides a device for determining a unit service value, comprising: a first determination unit, configured to determine, based on the acquired logistics warehouse data, the time-consuming information of the unit business volume of the target object under different service types, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; a second determination unit, configured to determine a function model that characterizes the correspondence between the time-consuming information of the target object under different service types and the unit service value; a third determination unit, configured to minimize the sum of the time-consuming information under different service types based on the function model under preset constraints, and determine the target unit service value of the target object under different service types.

[0014] In some examples, the second determination unit is further configured to: normalize the time consumption information under different service types to determine the unit service value ratio under different service types; determine the benchmark unit service value of the target object under different service types according to the total cost of the logistics warehouse, the business volume under different service types and the unit service value ratio; determine the service value elasticity according to the time consumption information and unit service value under different service types, wherein the service value elasticity represents the degree of influence of the change in unit service value on the time consumption information; determine a function model representing the correspondence between the time consumption information and the unit service value of the target object under different service types according to the benchmark unit service value, service value elasticity and benchmark time consumption information under different service types, wherein the benchmark time consumption information represents the mean of the time consumption information of the logistics warehouse within a first preset time period.

[0015] In some examples, the second determination unit is further configured to: determine the total benchmark unit service value based on the total cost of the logistics warehouse, and the business volume and unit service value ratio under different service types, wherein the total benchmark unit service value represents the sum of the benchmark unit service values ​​under each service type; determine the benchmark unit service value of the target object under different service types based on the total benchmark unit service value and the unit service value ratio under different service types.

[0016] In some examples, the above-mentioned second determination unit is further configured to: determine the first function item based on the unit service value under different service types and the service value elasticity to be determined; determine the second function item based on the time consumption information under different service types; fit the first function item and the second function item to determine the service value elasticity of the target object under different service types.

[0017] In some examples, the third determination unit is further configured to: determine a first constraint corresponding to the total cost of the logistics warehouse in the time consumption information optimization process based on a baseline cost of the logistics warehouse and a first preset parameter representing an upper limit of cost adjustment, wherein the baseline cost represents an average total cost of the logistics warehouse within a second preset time period; determine a second constraint corresponding to the time consumption information in the time consumption information optimization process based on the baseline time consumption information of the logistics warehouse; determine a third constraint corresponding to the unit service value in the time consumption information optimization process based on a baseline unit service value, a second preset parameter representing an upper limit of unit service value adjustment, and a third preset parameter representing a lower limit of unit service value adjustment; and under the constraints of the first constraint, the second constraint, and the third constraint, based on a function model, minimize the sum of time consumption information under different service types to determine the target unit service value of the target object under different service types.

[0018] In some examples, the above-mentioned first determination unit is further configured to: determine a third function item based on the business volume of the target object under different service types and the time-consuming information to be determined; fit the third function item and the total operation duration of the target object to determine the time-consuming information of the target object under different service types.

[0019] In some examples, the above-mentioned device also includes: a simulation unit, which is configured to simulate the operation process of the logistics warehouse through a simulation system according to the target unit service value of the target object under different service types, and determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects.

[0020] In some examples, the simulation unit is further configured to: randomly generate simulated business volumes under different service types; determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects based on the simulated business volumes of the target objects under different service types, the target unit service value and the time consumption information corresponding to the target unit service value.

[0021] In some examples, the above-mentioned device also includes: a re-optimization unit, which is configured to respond to receiving an adjustment instruction for the target unit service value and re-execute the overall optimization process of the function model according to the adjusted first preset parameter, second preset parameter, third preset parameter and the unit service value ratio corresponding to different service types.

[0022] In a third aspect, an embodiment of the present application provides a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner of the first aspect is implemented.

[0023] In a fourth aspect, an embodiment of the present application provides an electronic device, comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the first aspect.

[0024] The method and device for determining unit service value provided in the embodiments of the present application determine the time-consuming information of the unit business volume of the target object under different service types based on the acquired logistics warehouse data, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; determine a function model that characterizes the correspondence between the time-consuming information of the target object under different service types and the unit service value; and under preset constraints, based on the function model, minimize the sum of the time-consuming information under different service types to determine the target unit service value of the target object under different service types, thereby improving the accuracy and rationality of the determined target unit service value of the target object under different service types based on the operational optimization process of the obtained function model. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0026] Figure 1 is an exemplary system architecture diagram in which an embodiment of the present application may be applied;

[0027] Figure 2 is a flow chart of an embodiment of a method for determining unit service value according to the present application;

[0028] Figure 3 is a schematic diagram of an application scenario of the method for determining unit service value according to this embodiment;

[0029] Figure 4 is a flow chart of another embodiment of the method for determining unit service value according to the present application;

[0030] Figure 5 is a structural diagram of an embodiment of a device for determining unit service value according to the present application;

[0031] Figure 6 It is a structural diagram of a computer system suitable for implementing the embodiments of the present application. DETAILED DESCRIPTION

[0032] The present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It should also be noted that, for ease of description, only the parts related to the relevant invention are shown in the accompanying drawings.

[0033] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0034] It should be noted that the collection, collection, updating, analysis, processing, use, transmission, storage and other aspects of user personal information involved in the technical solution of this disclosure are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. Necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security and national security.

[0035] Figure 1 An exemplary architecture 100 to which the method and apparatus for determining unit service value of the present application can be applied is shown.

[0036] like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The communication connection between the terminal devices 101, 102, 103 constitutes a topological network, and the network 104 is used to provide a medium for the communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0037] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Terminal devices 101, 102, 103 can be hardware devices or software that support network connection for data interaction and data processing. When terminal devices 101, 102, 103 are hardware, they can be various electronic devices that support network connection, information acquisition, interaction, display, processing and other functions, including but not limited to smart phones, tablet computers, e-book readers, laptop portable computers and desktop computers, etc. When terminal devices 101, 102, 103 are software, they can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules for providing distributed services, for example, or it can be implemented as a single software or software module. No specific limitation is made here.

[0038] The server 105 may be a server that provides various services, for example, a background processing server that determines a function model that characterizes the correspondence between the time-consuming information and the unit service value of the target object under different service types through the logistics warehouse data provided by the terminal devices 101, 102, and 103, and determines the target unit service value of the target object under different service types according to the function model. As an example, the server 105 may be a cloud server.

[0039] It should be noted that the server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules (for example, software or software modules used to provide distributed services), or it can be implemented as a single software or software module. No specific limitation is made here.

[0040] It should also be noted that the method for determining the unit service value provided in the embodiment of the present application can be executed by the server, or by the terminal device, or by the server and the terminal device in cooperation with each other. Accordingly, the various parts (such as various units) included in the device for determining the unit service value can be all set in the server, or all set in the terminal device, or can be set in the server and the terminal device respectively.

[0041] It should be understood that Figure 1 The number of terminal devices, networks, and servers in the system is only illustrative. Any number of terminal devices, networks, and servers may be provided as required. When the electronic device on which the method for determining the unit service value is running does not need to perform data transmission with other electronic devices, the system architecture may only include the electronic device (e.g., server or terminal device) on which the method for determining the unit service value is running.

[0042] Continue to refer Figure 2 , a process 200 of an embodiment of a method for determining a unit service value is shown, comprising the following steps:

[0043] Step 201, based on the acquired logistics warehouse data, determine the time consumption information of the unit business volume of the target object under different service types.

[0044] In this embodiment, the execution subject of the method for determining the unit service value (for example Figure 1 The terminal device or server in the system) obtains the logistics warehouse data remotely or locally through a wired network connection or a wireless network connection, and determines the time consumption information of the unit business volume of the target object under different service types based on the obtained logistics warehouse data. Among them, the service type is related to the service link, the document type in the service link, and the business volume measurement type.

[0045] The target object is a working object in a logistics warehouse. For example, the target object is a staff member or a working robot in a logistics warehouse.

[0046] In the entire processing flow of the logistics warehouse, multiple logistics links such as acceptance, shelving, packaging, review, picking, distribution, and warehousing are involved. For the target object, each logistics link is a service link. In each service link, there are multiple order types such as bulk orders, ordinary orders, integrated orders, and non-integrated orders. For each document type in each service link, different business volume measurement types such as order quantity, piece quantity, SKU quantity, number of points, and volume can be used to determine its business volume. For documents of different document types in different service links, different business volume measurement types are used for measurement to obtain different service types.

[0047] Logistics warehouse data represents the data generated by the target object in the process of providing services, such as the target object's business volume, working hours, historical unit service value, total logistics warehouse cost and other data under different service types.

[0048] For example, under the integrated order type in the packaging stage, the business volume corresponding to each target object is shown in the following table:

[0049] Employee Number number of sku Unit quantity Quantity Operation duration 1 100 50 180 7 2 120 60 200 8 3 90 45 170 7 4 80 30 120 6

[0050] As an example, first, according to the business volume and working hours of the target objects under different service types, the total business volume and total working hours of all target objects under the service type are determined; then, the total working hours are divided by the total business volume to obtain the time consumption information of the unit business volume under the service type.

[0051] In some optional implementations of this embodiment, the above-mentioned execution entity can perform the above-mentioned step 201 in the following manner: first, based on the business volume of the target object under different service types and the time-consuming information to be determined, determine the third function item; then, fit the third function item and the total operation time of the target object to determine the time-consuming information of the target object under different service types.

[0052]

[0053] Among them, hour represents the total operation time corresponding to the logistics warehouse, that is, the sum of the operation time of all target objects; n ijk represents the traffic volume under different service types, α ijk Indicates the time consumption information of unit business volume under different service types.

[0054] The third function term on the right side of the above fitting formula includes the time-consuming information to be determined. Through the above fitting formula, the time-consuming information of the unit business volume under each service type can be quickly determined, thereby improving the efficiency of information determination; and, to a certain extent, the correlation information between the time-consuming information of the unit business volume under different service types can be determined.

[0055] Step 202: determine a function model that represents the corresponding relationship between the time consumption information of the target object under different service types and the unit service value.

[0056] In this embodiment, the execution subject may determine a function model that represents the corresponding relationship between the time consumption information of the target object under different service types and the unit service value.

[0057] The unit service value represents the price that the target object should receive for providing a unit service. The unit service under different business volume measurement types uses different measurement units. Taking the business volume measurement type of piece volume as an example, the unit service corresponding to the unit service is piece. It can be understood that the unit service value under different service types is different.

[0058] As an example, the execution subject may determine a function model representing the corresponding relationship between the time consumption information and the unit service value of the target object under different service types by fitting the time consumption information and the unit service value.

[0059] In some optional implementations of this embodiment, the execution subject may perform step 202 in the following manner:

[0060] First, normalize the time-consuming information under different service types and determine the unit service value ratio under different service types.

[0061] As an example, for the time consumption information under each service type, the execution entity may divide the time consumption information under the service type by the sum of the time consumption information under all service types to obtain the unit service value ratio θ under the service type. ijk .

[0062] Second, based on the total cost of the logistics warehouse, the business volume under different service types and the unit service value ratio, determine the benchmark unit service value of the target object under different service types.

[0063] Third, the service value elasticity is determined based on the time-consuming information and unit service value under different service types.

[0064] Among them, the service value elasticity represents the degree of influence of the change of unit service value on the time-consuming information. For example, for every 0.1 yuan decrease in unit service value, the time-consuming information of the employee's unit business volume changes. This indicator measures the impact of the change of unit service value on the enthusiasm of employees.

[0065] Specifically, the service value elasticity can be represented by the following formula:

[0066]

[0067] Among them, ε ijk 、p ijk They represent the service value elasticity and unit service value under different business volume types respectively.

[0068] Fourth, according to the benchmark unit service value, service value elasticity and benchmark time consumption information under different service types, a function model representing the corresponding relationship between the time consumption information and unit service value of the target object under different service types is determined.

[0069] The reference time-consuming information represents the average time-consuming information of the logistics warehouse in the first preset time period. The first preset time period can be specifically set according to actual conditions, for example, the first preset time period is the previous 3 months.

[0070] As an example, the function model is specifically represented by the following function:

[0071]

[0072] in, They respectively represent the benchmark time consumption information and benchmark unit service value under different service types.

[0073] In this implementation, a specific implementation method for determining a function model is provided, which improves the accuracy of the function model by means of benchmark unit service value, service value elasticity and benchmark time consumption information under different service types.

[0074] In some optional implementations of this embodiment, the execution subject may perform the second step in the following manner:

[0075] First, determine the total benchmark unit service value based on the total cost of the logistics warehouse, as well as the business volume and unit service value ratio under different service types.

[0076] Among them, the total benchmark unit service value represents the sum of the benchmark unit service values ​​under each service type.

[0077] In this implementation, the above-mentioned execution entity can determine the total benchmark unit service value through the following formula:

[0078]

[0079] Among them, C represents the total cost of the logistics warehouse, and p_base represents the total base unit service value.

[0080] Then, according to the total benchmark unit service value and the ratio of unit service value under different service types, the benchmark unit service value of the target object under different service types is determined.

[0081] In this implementation, for each service type, the execution entity may calculate the unit service value ratio θ under the service type. ijk The product of the total benchmark unit service value is taken as the benchmark unit service value c under the service type. ijk .

[0082] In this implementation, a specific implementation method for determining the benchmark unit service value under different service types is provided. Based on the total benchmark unit service value and the unit service value ratio under different service types, the unit service value under different service types can be accurately determined.

[0083] In some optional implementations of this embodiment, the execution subject may perform the third step in the following manner:

[0084] Firstly, the first function term is determined based on the unit service value under different service types and the service value elasticity to be determined; then, the second function term is determined based on the time consumption information under different service types; finally, the first function term and the second function term are fitted to determine the service value elasticity of the target object under different service types.

[0085] In this implementation, the above execution subject can execute the following fitting formula:

[0086] lnα ijk ~ε ijk lnp ijk +c

[0087] Among them, ε ijk lnp ijk +c represents the first function term, lnα ijk represents the second function term; c represents the constant term.

[0088] In this implementation, a specific implementation method of service value elasticity under different service types is provided, which helps to improve the accuracy of the determined service value elasticity.

[0089] Step 203 , under preset constraints, based on the function model, minimize the sum of time-consuming information under different service types, and determine the target unit service value of the target object under different service types.

[0090] In this embodiment, the above-mentioned execution subject can minimize the sum of time-consuming information under different service types based on the function model under preset constraints to determine the target unit service value of the target object under different service types.

[0091] The preset end conditions can be set specifically according to actual conditions. For example, the preset end conditions include that the unit service value in the operations optimization process shall not exceed the preset unit service value threshold, and the time consumption information shall not exceed the preset time consumption information threshold.

[0092] Under the preset constraints, the target unit service value obtained by minimizing the sum of time-consuming information under different service types in the function model corresponds to the minimum time-consuming information, so that the target object improves its work enthusiasm and efficiency under the incentive of the target unit service value.

[0093] In some optional implementations of this embodiment, the execution subject may perform step 203 in the following manner:

[0094] First, according to the benchmark cost of the logistics warehouse and the first preset parameter representing the upper limit of the cost adjustment, the first constraint condition corresponding to the total cost of the logistics warehouse in the time-consuming information optimization process is determined. Among them, the benchmark cost represents the average total cost of the logistics warehouse in the second preset time period. The second preset time period can be specifically set according to the actual situation. For example, the second preset time period is the previous 3 months.

[0095] As an example, the first constraint is expressed as follows:

[0096]

[0097] Among them, δ represents the first preset parameter, and C0 represents the benchmark cost of the logistics warehouse.

[0098] Then, according to the benchmark time consumption information of the logistics warehouse, a second constraint condition corresponding to the time consumption information in the time consumption information optimization process is determined.

[0099] As an example, the second constraint is expressed as follows:

[0100]

[0101] in, Indicates the benchmark time consumption information of the logistics warehouse.

[0102] Then, the third constraint condition corresponding to the unit service value in the time-consuming information optimization process is determined according to the benchmark unit service value, the second preset parameter representing the upper limit of the unit service value adjustment, and the third preset parameter representing the lower limit of the unit service value adjustment.

[0103] As an example, the third constraint is expressed as follows:

[0104]

[0105] Among them, ρ max represents the second preset parameter, ρ min represents the third preset parameter, Indicates the base unit service value.

[0106] Finally, under the constraints of the first constraint, the second constraint and the third constraint, the sum of the time-consuming information under different service types is minimized to determine the target unit service value of the target object under different service types.

[0107] Specifically, the function model is expressed as follows:

[0108]

[0109]

[0110]

[0111]

[0112] Among them, α ijk (p ijk ) represents the function model.

[0113] In this implementation, a specific operational optimization method of the function model is provided, which further improves the accuracy and rationality of the determined target unit service value under the constraints of the first constraint, the second constraint and the third constraint.

[0114] Continue to see Figure 3 , Figure 3 FIG. 3 is a schematic diagram 300 of an application scenario of the method for determining unit service value according to this embodiment. Figure 3In the application scenario, the logistics warehouse 301 involves multiple logistics links such as acceptance, shelving, packaging, review, picking, distribution, and warehousing, and each logistics link includes multiple target objects. For documents of different document types in different service links of the logistics warehouse, different business volume measurement types are used for measurement to obtain logistics warehouse data of the target object under different service types. The server 302 can first obtain the logistics warehouse data from the logistics warehouse 301, and determine the time-consuming information of the unit business volume of the target object under different service types based on the obtained logistics warehouse data. Among them, the service type is related to the service link, the document type in the service link, and the business volume measurement type. Then, determine the function model 303 that characterizes the corresponding relationship between the time-consuming information of the target object under different service types and the unit service value. Finally, under the preset constraints, based on the function model, minimize the sum of the time-consuming information under different service types, and determine the target unit service value of the target object under different service types.

[0115] The method provided by the above-mentioned embodiment of the present application determines the time-consuming information of the unit business volume of the target object under different service types based on the acquired logistics warehouse data, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; determines a function model that characterizes the correspondence between the time-consuming information of the target object under different service types and the unit service value; and under preset constraints, based on the function model, minimizes the sum of the time-consuming information under different service types to determine the target unit service value of the target object under different service types, thereby improving the accuracy and rationality of the determined target unit service value of the target object under different service types based on the operational optimization process of the obtained function model.

[0116] In some optional implementations of this embodiment, the above-mentioned execution entity may also perform the following operations: according to the target unit service value of the target object under different service types, simulate the operation process of the logistics warehouse through a simulation system, determine and display the simulated cost of the logistics warehouse and the balance data of the benefits between the target objects.

[0117] As an example, first, for the target unit service value under different service types and the minimized time consumption information corresponding to the target unit service value, the simulation system simulates the operation process of the logistics warehouse; then, the simulation cost of the simulation process of the logistics warehouse and the income information of each target object are determined; finally, based on the income information of each target object, the equilibrium data of the income between the target objects is determined, for example, the difference information of the income between the target objects, especially the difference information of the income between employees in different service links.

[0118] The above-mentioned execution entity can display the simulated cost and equilibrium data to the target user, who may be, for example, the corporate user to which the logistics warehouse belongs, so that the corporate user can judge whether the determined target unit service value meets the corporate user's expectations.

[0119] In this implementation, based on the determined target unit service value, the operation process of the logistics warehouse is simulated, so that the target user can further understand the target unit service value, which helps to improve the convenience and effectiveness of the target user's information judgment process.

[0120] In some optional implementations of this embodiment, the above-mentioned execution entity may execute the simulation model process in the following manner: first, randomly generate simulated business volume under different service types; then, based on the simulated business volume of the target object under different service types, the target unit service value and the time consumption information corresponding to the target unit service value, determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects.

[0121] As an example, first, for each document type designed in each service link, a certain number of order quantities are randomly generated; then, the order quantity, piece quantity, and SKU quantity are permuted and combined to determine the simulated business volume under different service types.

[0122] In this implementation, based on randomly generating simulated traffic under different service types, the validity of the data generated during the simulation process is improved, making the generated simulation cost and equilibrium data more referenceable.

[0123] In some optional implementations of this embodiment, the above-mentioned execution entity may also perform the following operations: in response to receiving an adjustment instruction for the target unit service value, re-execute the overall optimization process of the function model according to the adjusted first preset parameter, second preset parameter, third preset parameter and the unit service value ratio corresponding to different service types.

[0124] After the above-mentioned execution entity displays the simulation cost and equilibrium data to the target user, if the target user is not satisfied with the determined target unit service value, at least one of the first preset parameter, the second preset parameter, the third preset parameter and the unit service value ratio corresponding to different service types can be adjusted; then, the above-mentioned execution entity once again performs the following overall optimization process: under the adjusted preset constraints, based on the function model, minimize the sum of time-consuming information under different service types, and determine the target unit service value of the target object under different service types.

[0125] It should be noted that the above-mentioned execution entity can execute multiple coordinated optimization processes based on multiple adjustment instructions to ultimately obtain a target unit service value that is reasonable and meets the expectations of the target users, thereby improving the flexibility of the coordinated optimization process.

[0126] Continue to refer Figure 4 , shows a schematic process 400 of an embodiment of a method for determining a unit service value according to the present application, comprising the following steps:

[0127] Step 401 : determining a third function item based on the traffic volume of the target object under different service types and the time consumption information of the unit traffic volume to be determined.

[0128] Among them, the service type is related to the service link, the document type in the service link, and the business volume measurement type.

[0129] Step 402: Fit the third function term and the total operation duration of the target object to determine the time consumption information of the target object under different service types.

[0130] Step 403, normalize the time-consuming information under different service types to determine the unit service value ratio under different service types.

[0131] Step 404, determining the total benchmark unit service value based on the total cost of the logistics warehouse, and the business volume and unit service value ratio under different service types.

[0132] Among them, the total benchmark unit service value represents the sum of the benchmark unit service values ​​under each service type.

[0133] Step 405, determining the benchmark unit service value of the target object under different service types according to the total benchmark unit service value and the ratio of the unit service value under different service types.

[0134] Step 406: Determine a first function item based on the unit service value under different service types and the service value elasticity to be determined.

[0135] Step 407: Determine a second function item based on the time consumption information of different service types.

[0136] Step 408: Fit the first function term and the second function term to determine the service value elasticity of the target object under different service types.

[0137] Step 409, determining a function model representing the corresponding relationship between the time consumption information and the unit service value of the target object under different service types according to the benchmark unit service value, service value elasticity and benchmark time consumption information under different service types.

[0138] The benchmark time-consuming information represents the average time-consuming information of the logistics warehouse within the first preset time period.

[0139] Step 410, determining a first constraint condition corresponding to the total cost of the logistics warehouse in the time-consuming information optimization process based on the baseline cost of the logistics warehouse and a first preset parameter representing the upper limit of the cost adjustment.

[0140] Among them, the benchmark cost represents the average total cost of the logistics warehouse in the second preset time period.

[0141] Step 411, based on the benchmark time consumption information of the logistics warehouse, determine the second constraint condition corresponding to the time consumption information in the time consumption information optimization process.

[0142] Step 412, determining a third constraint condition corresponding to the unit service value in the time consumption information optimization process according to the benchmark unit service value, the second preset parameter representing the upper limit of the unit service value adjustment, and the third preset parameter representing the lower limit of the unit service value adjustment.

[0143] Step 413, under the constraints of the first constraint, the second constraint and the third constraint, based on the function model, minimize the sum of the time-consuming information under different service types, and determine the target unit service value of the target object under different service types.

[0144] Step 414, based on the target unit service value of the target object under different service types, the operation process of the logistics warehouse is simulated by the simulation system to determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects.

[0145] Step 415, in response to receiving an adjustment instruction for the target unit service value, re-execute the overall optimization process of the function model according to the adjusted first preset parameter, second preset parameter, third preset parameter and the unit service value ratios corresponding to different service types.

[0146] It can be seen from this embodiment that Figure 2 Compared with the corresponding embodiments, the process 400 of the method for determining the unit service value in this embodiment specifically illustrates the determination process of the function model, the simulation process based on the determined target unit service value, and the overall optimization process again, which further improves the accuracy and rationality of the determined target unit service value.

[0147] Continue to refer Figure 5 As an implementation of the methods shown in the above figures, the present application provides an embodiment of a device for determining a unit service value. Figure 2 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0148] like Figure 5As shown, the device for determining the unit service value includes: a first determination unit 501, configured to determine the time-consuming information of the unit business volume of the target object under different service types based on the acquired logistics warehouse data, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; a second determination unit 502, configured to determine a function model that characterizes the corresponding relationship between the time-consuming information of the target object under different service types and the unit service value; a third determination unit 503, configured to minimize the sum of the time-consuming information under different service types based on the function model under preset constraints, and determine the target unit service value of the target object under different service types.

[0149] In some optional implementations of the present embodiment, the second determination unit 502 is further configured to: normalize the time-consuming information under different service types and determine the ratio of unit service value under different service types; determine the benchmark unit service value of the target object under different service types according to the total cost of the logistics warehouse, the business volume under different service types and the ratio of unit service value; determine the service value elasticity according to the time-consuming information and unit service value under different service types, wherein the service value elasticity represents the degree of influence of the change in unit service value on the time-consuming information; determine a function model representing the correspondence between the time-consuming information and the unit service value of the target object under different service types according to the benchmark unit service value, service value elasticity and benchmark time-consuming information under different service types, wherein the benchmark time-consuming information represents the mean value of the time-consuming information of the logistics warehouse within a first preset time period.

[0150] In some optional implementations of the present embodiment, the second determination unit 502 is further configured to: determine the total benchmark unit service value based on the total cost of the logistics warehouse, and the business volume and unit service value ratio under different service types, wherein the total benchmark unit service value represents the sum of the benchmark unit service values ​​under each service type; determine the benchmark unit service value of the target object under different service types based on the total benchmark unit service value and the unit service value ratio under different service types.

[0151] In some optional implementations of this embodiment, the above-mentioned second determination unit 502 is further configured to: determine the first function item based on the unit service value under different service types and the service value elasticity to be determined; determine the second function item based on the time consumption information under different service types; fit the first function item and the second function item to determine the service value elasticity of the target object under different service types.

[0152] In some optional implementations of the present embodiment, the third determination unit 503 is further configured to: determine a first constraint corresponding to the total cost of the logistics warehouse in the time consumption information optimization process according to the benchmark cost of the logistics warehouse and the first preset parameter representing the upper limit of the cost adjustment, wherein the benchmark cost represents the average total cost of the logistics warehouse in the second preset time period; determine a second constraint corresponding to the time consumption information in the time consumption information optimization process according to the benchmark time consumption information of the logistics warehouse; determine a third constraint corresponding to the unit service value in the time consumption information optimization process according to the benchmark unit service value, the second preset parameter representing the upper limit of the unit service value adjustment, and the third preset parameter representing the lower limit of the unit service value adjustment; under the constraints of the first constraint, the second constraint and the third constraint, based on the function model, minimize the sum of the time consumption information under different service types to determine the target unit service value of the target object under different service types.

[0153] In some optional implementations of this embodiment, the above-mentioned first determination unit 501 is further configured to: determine the third function item based on the business volume of the target object under different service types and the time-consuming information to be determined; fit the third function item and the total operation duration of the target object to determine the time-consuming information of the target object under different service types.

[0154] In some optional implementations of this embodiment, the above-mentioned device also includes: a simulation unit (not shown in the figure), which is configured to simulate the operation process of the logistics warehouse through a simulation system according to the target unit service value of the target object under different service types, and determine and display the simulated cost of the logistics warehouse and the balance data of the benefits between the target objects.

[0155] In some optional implementations of this embodiment, the above-mentioned simulation unit is further configured to: randomly generate simulated business volume under different service types; determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects based on the simulated business volume of the target object under different service types, the target unit service value and the time consumption information corresponding to the target unit service value.

[0156] In some optional implementations of this embodiment, the above-mentioned device also includes: a re-optimization unit (not shown in the figure), which is configured to respond to receiving an adjustment instruction for the target unit service value, and re-execute the overall optimization process of the function model according to the adjusted first preset parameters, second preset parameters, third preset parameters and the unit service value ratios corresponding to different service types.

[0157] In this embodiment, the first determination unit in the device for determining the unit service value determines the time-consuming information of the unit business volume of the target object under different service types based on the acquired logistics warehouse data, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; the second determination unit determines a function model that characterizes the correspondence between the time-consuming information of the target object under different service types and the unit service value; the third determination unit minimizes the sum of the time-consuming information under different service types based on the function model under preset constraints, and determines the target unit service value of the target object under different service types, thereby improving the accuracy and rationality of the determined target unit service value of the target object under different service types based on the operational optimization process of the obtained function model.

[0158] Reference below Figure 6 , which shows a device suitable for implementing the embodiments of the present application (eg Figure 1 A schematic diagram of the structure of a computer system 600 of the devices 101, 102, 103, 105 shown. Figure 6 The device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0159] like Figure 6 As shown, the computer system 600 includes a processor (e.g., CPU, central processing unit) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage part 608 into a random access memory (RAM) 603. Various programs and data required for the operation of the system 600 are also stored in the RAM 603. The processor 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0160] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is installed into the storage section 608 as needed.

[0161] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part 609, and / or installed from a removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the method of the present application are executed.

[0162] It should be noted that the computer-readable medium of the present application may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0163] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the client computer, partially on the client computer, as a separate software package, partially on the client computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the client computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0164] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the device, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0165] The units involved in the embodiments described in the present application may be implemented by software or by hardware. The described units may also be set in a processor, for example, may be described as: a processor comprising a first determination unit, a second determination unit, and a third determination unit. Among them, the names of these units do not constitute a limitation on the unit itself under certain circumstances. For example, the third determination unit may also be described as "a unit that determines the target unit service value of the target object under different service types by minimizing the sum of time-consuming information under different service types based on a function model under preset constraints."

[0166] As another aspect, the present application also provides a computer-readable medium, which may be included in the device described in the above embodiment; or it may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by the device, the computer device: determines the time-consuming information of the unit business volume of the target object under different service types based on the acquired logistics warehouse data, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; determines a function model that characterizes the corresponding relationship between the time-consuming information of the target object under different service types and the unit service value; and under preset constraints, based on the function model, minimizes the sum of the time-consuming information under different service types to determine the target unit service value of the target object under different service types.

[0167] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above invention concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

Claims

1. A method for determining a unit service value, comprising: Determine the time consumption information of the unit business volume of the target object under different service types according to the obtained logistics warehouse data, wherein the service type is related to the service link, the document type in the service link, and the business volume measurement type; Determine a function model that represents the corresponding relationship between the time consumption information of the target object under different service types and the unit service value; Under preset constraints, based on the function model, the sum of time-consuming information under different service types is minimized to determine the target unit service value of the target object under different service types.

2. The method according to claim 1, wherein: The determining of the function model representing the corresponding relationship between the time consumption information of the target object under different service types and the unit service value includes: Normalize the time-consuming information under different service types and determine the unit service value ratio under different service types; Determine the benchmark unit service value of the target object under different service types according to the total cost of the logistics warehouse, the business volume under different service types and the unit service value ratio; Determine the service value elasticity according to the time consumption information and unit service value under different service types, wherein the service value elasticity represents the degree of influence of the change of unit service value on the time consumption information; According to the benchmark unit service value, service value elasticity and benchmark time consumption information under different service types, a function model characterizing the corresponding relationship between the time consumption information and unit service value of the target object under different service types is determined, wherein the benchmark time consumption information characterizes the average of the time consumption information of the logistics warehouse within the first preset time period.

3. The method according to claim 2, wherein: Determining the benchmark unit service value of the target object under different service types according to the total cost of the logistics warehouse, the business volume under different service types and the unit service value ratio includes: Determine the total benchmark unit service value according to the total cost of the logistics warehouse, the business volume and the unit service value ratio under different service types, wherein the total benchmark unit service value represents the sum of the benchmark unit service values ​​under each service type; The benchmark unit service value of the target object under different service types is determined according to the total benchmark unit service value and the ratio of the unit service value under different service types.

4. The method according to claim 2, wherein: Determining the service value elasticity according to the time consumption information and unit service value under different service types includes: Determine the first function item based on the unit service value under different service types and the service value elasticity to be determined; Determine a second function item based on time consumption information under different service types; The first function item and the second function item are fitted to determine the service value elasticity of the target object under different service types.

5. The method according to claim 2, wherein: The method of minimizing the sum of time-consuming information under different service types based on the function model under the preset constraint conditions to determine the target unit service value of the target object under different service types includes: Determine a first constraint condition corresponding to the total cost of the logistics warehouse in the time-consuming information optimization process according to the benchmark cost of the logistics warehouse and a first preset parameter representing the upper limit of the cost adjustment, wherein the benchmark cost represents the average total cost of the logistics warehouse in the second preset time period; Determine, according to the benchmark time-consuming information of the logistics warehouse, a second constraint condition corresponding to the time-consuming information in the time-consuming information optimization process; Determine a third constraint condition corresponding to the unit service value in the time consumption information optimization process according to the benchmark unit service value, a second preset parameter representing an upper limit of the unit service value adjustment, and a third preset parameter representing a lower limit of the unit service value adjustment; Under the constraints of the first constraint, the second constraint and the third constraint, based on the function model, the sum of the time-consuming information under different service types is minimized to determine the target unit service value of the target object under different service types.

6. The method according to claim 1, wherein: Determining the time-consuming information of the unit business volume of the target object under different service types according to the acquired logistics warehouse data includes: Determining a third function item based on the traffic volume of the target object under different service types and the time consumption information to be determined; The third function term is fitted with the total operation duration of the target object to determine the time consumption information of the target object under different service types.

7. The method according to any one of claims 1 to 6, wherein: Also includes: According to the target unit service value of the target object under different service types, the operation process of the logistics warehouse is simulated by a simulation system to determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects.

8. The method according to claim 7, wherein: According to the target unit service value of the target object under different service types, the operation process of the logistics warehouse is simulated by the simulation system to determine and display the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects, including: Randomly generate simulated traffic under different service types; Based on the simulated business volume of the target object under different service types, the target unit service value and the time consumption information corresponding to the target unit service value, the simulated cost of the logistics warehouse and the equilibrium data of the benefits between the target objects are determined and displayed.

9. The method according to claim 7, wherein: Also includes: In response to receiving an adjustment instruction for the target unit service value, the overall optimization process of the function model is re-executed according to the adjusted first preset parameter, second preset parameter, third preset parameter and the unit service value ratios corresponding to different service types.

10. A device for determining a unit service value, comprising: A first determination unit is configured to determine, based on the acquired logistics warehouse data, time-consuming information of a unit business volume of a target object under different service types, wherein the service type is related to a service link, a document type in the service link, and a business volume measurement type; A second determining unit is configured to determine a function model representing the corresponding relationship between the time consumption information of the target object under different service types and the unit service value; The third determination unit is configured to minimize the sum of time-consuming information under different service types based on the function model under preset constraints, and determine the target unit service value of the target object under different service types.

11. A computer readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 9 is implemented.

12. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 9.

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