CN116562658A - Logistics staff selecting method and device and computer storage medium - Google Patents
Logistics staff selecting method and device and computer storage medium Download PDFInfo
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Abstract
The application provides a method and a device for selecting logistics workers and a computer storage medium; the method in the application comprises the following steps: obtaining a performance evaluation value according to basic performance information of the first logistics staff; obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff; determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value; selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff; in the implementation of the method, the personnel evaluation is performed according to the performance evaluation value and the customer evaluation value, so that the difference caused by logistics network points is overcome, personnel evaluation dimensionality is more reasonable, the evaluation accuracy is improved, and reasonable work distribution is realized.
Description
Technical Field
The application relates to the technical field of logistics, in particular to a method and a device for selecting logistics workers and a computer storage medium.
Background
With the rapid development of the express industry, the management requirements for logistics workers are higher and higher.
When the logistics workers are managed, performance assessment indexes are usually adopted for comparison, namely, when the whole-network logistics workers are selected, the logistics workers are selected according to the received and dispatched data, and the logistics workers cannot be accurately selected in the selection mode, so that work distribution is carried out, the situation that the logistics workers are unclear in the next work lifting key point is caused, and the encouraging and traction effects on the logistics workers are difficult to achieve; how to select logistics workers and reasonably distribute work so as to improve work efficiency is a problem to be solved urgently.
Disclosure of Invention
The application provides a method, a device and a computer storage medium for selecting logistics workers, and aims to solve the technical problems that the conventional logistics workers selecting rules cannot accurately select the logistics workers and cannot effectively perform work distribution.
In one aspect, the present application provides a method for selecting a logistics worker, where the method for selecting a logistics worker includes the following steps:
obtaining a performance evaluation value according to basic performance information of the first logistics staff;
Obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff;
determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value;
and selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
In some embodiments of the present application, the obtaining the performance evaluation value according to the basic performance information of the first logistics worker further includes:
acquiring basic performance information of a first logistics worker according to the receiving and dispatching behavior data of the first logistics worker, wherein the basic performance information comprises order quantity, collecting quantity, dispatching quantity and delivering quantity;
calculating the recovery rate of the first logistics staff according to the order quantity and the recovery quantity;
calculating the dispatch rate of the first logistics staff according to the dispatch amount and the delivery amount;
and processing the recovery rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value, wherein the basic performance evaluation model is obtained by training basic performance information of each sample logistics staff in the corresponding logistics network point of the first logistics staff.
In some embodiments of the present application, before the processing the solicitation rate and the dispatch rate of the first logistics staff through the preset basic performance evaluation model to obtain the performance evaluation value, the method includes:
acquiring sample logistics workers corresponding to logistics network points of a first logistics worker, and collecting yield and dispatching rate of each sample logistics worker;
carrying out quantile division after sequencing the yield of the sample logistics workers to obtain quantile division areas of the logistics network points;
setting an evaluation value interval corresponding to each quantile dividing interval according to the quantile dividing interval of the logistics network point;
and constructing a basic performance evaluation model according to the evaluation value interval and the collection rate and the delivery rate of each sample logistics worker.
In some embodiments of the present application, the processing the cable yield and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value further includes:
processing the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain an initial performance evaluation value;
Processing the change rate of the cable yield through the basic performance evaluation model to obtain an evaluation adjustment value;
and processing the initial performance evaluation value and the evaluation adjustment value through the basic performance evaluation model to obtain a performance evaluation value.
In some embodiments of the present application, the obtaining the customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff further includes:
inputting customer complaint information of a first logistics worker into a preset customer complaint assessment model to obtain a customer complaint assessment value; the customer complaint assessment model is obtained by training customer complaint information of each sample logistics worker in the corresponding logistics network point of the first logistics worker;
performing score conversion on the customer ratings in the customer rating information corresponding to the first logistics staff to obtain customer rating values;
and carrying out weighting processing on the customer complaint evaluation value and the customer evaluation value to obtain a customer evaluation value corresponding to the first logistics staff.
In some embodiments of the present application, the determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the customer evaluation value includes:
Weighting the performance evaluation value and the client evaluation value to obtain a comprehensive evaluation value of the first logistics staff;
comparing the comprehensive evaluation value of the first logistics staff with the comprehensive evaluation value of each preset logistics staff in the logistics network;
and setting a preset logistics staff member similar to the comprehensive evaluation value of the first logistics staff member as a second logistics staff member.
In some embodiments of the present application, the selecting, according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, obtains a target logistics staff, and the work allocation scheme of the target logistics staff includes:
acquiring a first standard measurement of a corresponding logistics website of the first logistics staff, and comparing the first standard measurement with a receiving and dispatching parameter of the first logistics staff to obtain a first comparison result;
obtaining a second standard measurement of the corresponding logistics network point of the second physical stream staff, and comparing the second standard measurement with the receiving and dispatching parameters of the second physical stream staff to obtain a second comparison result;
Comparing the first comparison result with the second comparison result to obtain a target logistics worker and a work distribution scheme of the target logistics worker;
wherein the first and second criteria metrics comprise: regional type, amount of receipts and dispatches, receipt and dispatch ratio, post attribute, ticket average receipt difficulty and ticket average dispatch difficulty.
In some embodiments of the present application, the selecting, according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, obtains a target logistics staff, and after the work allocation scheme of the target logistics staff, the method includes:
and acquiring employee levels corresponding to the target logistics workers, rewarding schemes corresponding to the employee levels, and sending the rewarding schemes to the target logistics workers.
On the other hand, the application provides a commodity circulation staff's evaluation device, commodity circulation staff's evaluation device includes:
the first evaluation module is used for obtaining a performance evaluation value according to the basic performance information of the first logistics staff;
the second evaluation module is used for obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff;
The determining module is used for determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value;
and the selecting module is used for selecting the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
In another aspect, the present application further provides a computer storage medium having a computer program stored thereon, the computer program being loaded by a processor to perform the steps of the method for selecting a logistics worker.
According to the technical scheme, the performance evaluation value is obtained according to the basic performance information of the first logistics staff; obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff; determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value; and selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff. In the implementation of the method, the second physical distribution staff similar to the first physical distribution staff is determined according to the performance evaluation value and the customer evaluation value, so that differences caused by physical distribution network points are overcome, the evaluation dimension of the physical distribution staff is more reasonable, and the accuracy rate of physical distribution evaluation is improved; and then, selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, determining the work distribution scheme of the target logistics staff, and realizing reasonable work distribution, thereby improving the logistics work efficiency.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of a scenario of a method for selecting logistics workers according to an embodiment of the present application;
FIG. 2 is a flow diagram of one embodiment of a method for selecting a logistics worker provided in an embodiment of the present application;
FIG. 3 is a schematic flow chart of an embodiment of determining a performance evaluation value in the method for selecting a logistics worker according to the embodiment of the present application;
FIG. 4 is a schematic flow chart of one embodiment of constructing a basic performance assessment model in the method for selecting logistics workers provided in the embodiments of the present application;
FIG. 5 is a schematic flow chart of an embodiment of a customer evaluation value determination in a method for evaluating a logistics worker provided in an embodiment of the present application;
FIG. 6 is a flow chart of one embodiment of a customer rewards in a method of selecting a logistics worker provided in an embodiment of the present application;
FIG. 7 is a schematic structural diagram of one embodiment of a logistics worker review apparatus provided in an embodiment of the present application;
FIG. 8 is a schematic structural diagram of one embodiment of a logistics worker's review apparatus provided in an embodiment of the present application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be encompassed by the present invention.
In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the drawings are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
In this application, the term "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the invention. In the following description, details are set forth for purposes of explanation. It will be apparent to one of ordinary skill in the art that the present invention may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail so as not to obscure the description of the invention with unnecessary detail. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
The embodiment of the application provides a method, a device, equipment and a computer storage medium for selecting logistics workers, and the detailed description is given below.
The method for selecting the logistics staff is applied to the selecting device of the logistics staff, the selecting device of the logistics staff is arranged in the selecting equipment of the logistics staff, one or more processors, a memory and one or more application programs are arranged in the selecting equipment of the logistics staff, and the one or more application programs are stored in the memory and configured to be executed by the processors to realize the selecting method of the logistics staff; the selecting device of the logistics staff can be a terminal, for example, a mobile phone or a tablet computer, and the selecting device of the logistics staff can also be a server or a service cluster formed by a plurality of servers.
As shown in fig. 1, fig. 1 is a schematic view of a scenario of a method for selecting a logistics worker according to an embodiment of the present invention, where a selection scenario of the logistics worker includes a selection device 100 of the logistics worker (a selection device of the logistics worker is integrated in the selection device 100 of the logistics worker), and a computer storage medium corresponding to the selection of the logistics worker is run in the selection device 100 of the logistics worker, so as to execute a step of selecting the logistics worker.
It may be understood that the selecting device of the logistics staff in the selecting scene of the logistics staff shown in fig. 1, or the device included in the selecting device of the logistics staff, is not limited to the embodiment of the present invention, that is, the number of devices and the type of devices included in the selecting scene of the logistics staff, or the number of devices and the type of devices included in each device do not affect the whole implementation of the technical solution in the embodiment of the present invention, and may be calculated as equivalent replacement or derivative of the claimed technical solution in the embodiment of the present invention.
The evaluation device 100 for logistics workers in the embodiment of the present invention is mainly used for: obtaining a performance evaluation value according to basic performance information of the first logistics staff; obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff; determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value; and selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
The evaluation device 100 of the logistics staff in the embodiment of the present invention may be an independent evaluation device of the logistics staff, or may be a network of evaluation devices of the logistics staff or a cluster of evaluation devices of the logistics staff, for example, the evaluation device 100 of the logistics staff described in the embodiment of the present invention includes, but is not limited to, a computer, a network host, an evaluation device of a single network logistics staff, a set of evaluation devices of a plurality of network logistics staff, or a cloud evaluation device of the logistics staff formed by the evaluation devices of a plurality of logistics staff. The Cloud logistics staff evaluation equipment is composed of a large number of computers based on Cloud Computing (Cloud Computing) or network logistics staff evaluation equipment.
It will be understood by those skilled in the art that the application environment shown in fig. 1 is merely an application scenario of the application scenario and is not limited to the application scenario of the application scenario, and other application environments may further include more or fewer evaluation devices of the logistics staff than those shown in fig. 1, or network connection relationships between the evaluation devices of the logistics staff, for example, only 1 evaluation device of the logistics staff is shown in fig. 1, and it is understood that the scenario of the evaluation of the logistics staff may further include one or more evaluation devices of other logistics staff, which is not limited herein in particular; a memory may also be included in the logistics worker's review apparatus 100.
In addition, in the scenario of the logistics staff evaluation, the logistics staff evaluation device 100 may be provided with a display device, or the logistics staff evaluation device 100 is not provided with the display device and is in communication connection with the external display device 200, where the display device 200 is used for outputting the result of execution of the logistics staff evaluation method in the logistics staff evaluation device. The logistics worker's evaluation device 100 may access a background database 300 (the background database may be in a local memory of the logistics worker's evaluation device, and the background database may also be set in the cloud), where the background database 300 stores information related to the evaluation of the logistics worker.
It should be noted that, the schematic view of the scenario of the method for selecting a logistics worker shown in fig. 1 is only an example, and the scenario of selecting a logistics worker described in the embodiment of the present invention is for more clearly describing the technical solution of the embodiment of the present invention, and does not constitute a limitation on the technical solution provided by the embodiment of the present invention.
Based on the above scenario of the logistics staff selection, an embodiment of a method for selecting logistics staff is provided.
As shown in fig. 2, fig. 2 is a flow chart of an embodiment of a method for selecting a logistics worker according to an embodiment of the present application, where the method for selecting a logistics worker includes steps 201 to 204:
and 201, obtaining a performance evaluation value according to the basic performance information of the first logistics staff.
The method for selecting the logistics staff in the embodiment is applied to the selecting device of the logistics staff, the type of the selecting device of the logistics staff is not particularly limited, for example, the selecting device of the logistics staff can be a terminal or a server, and in the embodiment, the server is taken as an example for illustration.
The server receives a personnel selection request, wherein the personnel selection request can be actively triggered by a user, for example, the user clicks a 'selection' button on a display interface of a mobile phone terminal to actively trigger the personnel selection request, the mobile phone terminal sends the personnel selection request to the server, and the server receives the personnel selection request; in addition, the personnel selection request may be automatically triggered by the server, for example, the triggering condition of the preset personnel selection request in the server is: at the end of month; the server collects time information in real time, the server detects that the time is the end of the month, and the server automatically triggers a personnel selection request.
After receiving the personnel selection request, the server obtains a user identifier of a first logistics worker corresponding to the personnel selection request to be selected, wherein the user identifier refers to identification information for uniquely identifying the first logistics worker, and for example, the user identifier can be a user account name; the server acquires basic performance information of the first logistics staff corresponding to the user identification.
The basic performance information is information for measuring whether the logistics staff completes the receiving and dispatching work according to the contract, and can evaluate the receiving and dispatching timeliness, the workload completion degree, the receiving and dispatching quantity lifting effect and the like of the logistics staff, and is the most important evaluation factor in the receiving and dispatching work of the logistics staff; the basic performance information includes, but is not limited to, order quantity, collection quantity, delivery quantity, aging information, progress information and the like corresponding to the receiving and delivering actions of the logistics staff, that is, the information type in the basic performance information is not limited, for example, the logistics staff mainly works for delivering, and the basic performance information is delivery quantity, delivery quantity and delivery time of the target express mail; for another example, the logistics staff mainly performs the collecting work, and the basic performance information is the received order quantity, collecting quantity and collecting time.
In an actual receiving and dispatching scene, the basic performance information is obtained because the logistics staff receives a code scanning list, a self-built list and a calling application list, for example, the server obtains the basic performance information such as the collection amount, the delivery time and the like of the logistics staff, wherein the code scanning list and the self-built list occur under the condition that the logistics staff has taken a express item, therefore, the timeliness of the receiving of the logistics staff is measured on the collection and dispatching side, the calling application list refers to a list that a customer applies for the receiving of the receiving logistics staff through WeChat or website, and the calling application list of the logistics staff focuses on the receiving and dispatching performance in the embodiment of the application list is removed. In the embodiment of the application, in order to calculate the real yield related index of the logistics staff more accurately, elements of the customer cancel order and time features of the cancel order are added in the calculation, so that the basic performance information is more comprehensive and accurate.
It can be appreciated that in the actual delivery scene, the situation that the express mail is delivered out of the warehouse for many times often occurs, in order to accurately evaluate the timeliness of delivery of the logistics staff, the 2-hour delivery rate of the logistics staff is calculated in the embodiment of the application, and meanwhile, the server delivers out of the warehouse for many times for the express mail delivered out of the warehouse for the last time.
After the server obtains the basic performance information, the server calculates the collecting rate and the sending rate of the first logistics staff according to the collecting number, the sending number, the delivering number, the collecting time, the sending time and the like in the basic performance information, wherein the collecting rate=the collecting number/the order number, the sending rate=the sending number/the delivering number, the collecting rate and the sending rate of the first logistics staff are obtained, the server further converts the collecting rate and the sending rate of the first logistics staff into the performance evaluation value of the first logistics staff, namely, the server compares the collecting rate and the sending rate of the first logistics staff with the collecting rate and the sending rate of each logistics staff in the whole logistics industry to obtain the performance evaluation value of the first logistics staff, for example, the server determines the logistics corresponding to the first logistics staff, the server obtains the sending rate and the sending rate of each logistics staff in the logistics staff, and the server obtains the first logistics staff from the collecting rate and the sending rate of each logistics staff to the sorting position according to the sorting evaluation value of the first logistics staff.
For example, 1000 logistics network points corresponding to the first logistics staff are provided, the stock collecting rate is normally distributed, and the evaluation value interval is 70-75 for the logistics staff 10% before the stock collecting rate; the first 10% -30% of logistics workers have an evaluation value range of 75-80; the first 30% -70% of logistics workers have an evaluation value interval of 80-90; the first 70% -90% of logistics workers have an evaluation value range of 90-95; the evaluation value interval of the former 90% -100% of logistics workers is 95-100, and the server obtains the performance evaluation value of the first logistics workers according to the picking rate of the first logistics workers.
In this embodiment, the server determines the performance evaluation value of the first logistics staff based on the basic performance information generated by the corresponding receiving and dispatching actions of the first logistics staff, so that interference of dispatching difficulty of different logistics network points can be avoided, and the evaluation of the first logistics staff is more accurate.
202, obtaining a customer evaluation value according to customer complaint information and customer evaluation information of the first logistics staff.
The server obtains customer complaint information of the first logistics staff, wherein the customer complaint information comprises but is not limited to: the customer complaint information in the embodiment can be null or any one or more of the complaint types, and the server determines a customer complaint evaluation value according to the customer complaint information of the first logistics staff, for example, a preset mapping table is stored in the server, scores corresponding to different customer complaint types are stored in the preset mapping table, and the server inquires the preset mapping table to obtain the customer complaint evaluation value corresponding to the customer complaint information.
The server obtains client evaluation information of the first logistics staff, wherein the client evaluation information refers to information, which is given by a client and used for evaluating the working condition of the logistics staff, for example, the client evaluation information can be a grading grade given by the client, and the server converts the grading grade in the client evaluation information into a client evaluation value, for example, the grading grade of the client is 4 and corresponds to 2 grades.
The server accumulates the customer complaint evaluation value and the customer evaluation value to obtain a customer evaluation value. In this embodiment, according to the customer complaint information and the customer evaluation information of the first logistics staff, a customer evaluation value is obtained, and thus, the evaluation of part of customers is combined, so that the evaluation of the logistics staff is more comprehensive.
And 203, determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value.
The server determines a comprehensive evaluation value of the first logistics staff according to the performance evaluation value and the client evaluation value, for example, the server weights the performance evaluation value and the client evaluation value and then sums the weighted performance evaluation value and the weighted client evaluation value to obtain a value, and the value is set as the comprehensive evaluation value of the first logistics staff; the method comprises the steps that a server obtains comprehensive evaluation values of all preset logistics workers in a logistics network, the server compares the comprehensive evaluation values of first logistics workers with the comprehensive evaluation values of all preset logistics workers, and the server obtains second logistics workers similar to the first logistics workers.
The manner in which the server is similar to the first physical distribution staff member is not limited in this embodiment, for example:
(1) Weighting the performance evaluation value and the client evaluation value to obtain a comprehensive evaluation value of the first logistics staff;
(2) Comparing the comprehensive evaluation value of the first logistics staff with the comprehensive evaluation value of each preset logistics staff in the logistics network;
(3) And setting a preset logistics staff member similar to the comprehensive evaluation value of the first logistics staff member as a second logistics staff member.
That is, the server performs weighted synthesis on the performance evaluation value and the client evaluation value to obtain a comprehensive evaluation value of the first logistics staff; the method comprises the steps that a server obtains all logistics network points in a logistics network and preset logistics workers corresponding to all the logistics network points, the server compares the comprehensive evaluation value of a first logistics worker with the comprehensive evaluation value of each preset logistics worker, and the server calculates to obtain cosine distances between the first logistics worker and each preset logistics worker; and the server sets the preset logistics staff close to the comprehensive evaluation value of the first logistics staff as a second logistics staff according to the cosine distance.
204, selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, and obtaining the target logistics staff and the work distribution scheme of the target logistics staff.
The server obtains the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, and the server performs evaluation and selection according to the similar receiving and dispatching parameters of the first logistics staff and the second logistics staff to obtain the target logistics staff and the work distribution scheme of the target logistics staff.
In some embodiments of the present application, the server combines the first logistics staff to be evaluated and the second logistics staff to be evaluated with the integration situation of the located logistics network to determine the target logistics staff and the work distribution scheme of the target logistics staff, and specifically includes:
(1) Acquiring a first standard measurement of a corresponding logistics website of the first logistics staff, and comparing the first standard measurement with a receiving and dispatching parameter of the first logistics staff to obtain a first comparison result;
(2) Obtaining a second standard measurement of the corresponding logistics network point of the second physical flow staff, and comparing the second standard measurement with the receiving and dispatching parameters of the second physical flow staff to obtain a second comparison result;
(3) And comparing the first comparison result with the second comparison result to obtain a target logistics worker and a work distribution scheme of the target logistics worker.
The method comprises the steps that a server obtains a first standard measurement of a first logistics worker corresponding to a logistics website, wherein the first standard measurement refers to information such as the area type, the receiving and dispatching amount, the receiving and dispatching ratio, the post attribute, the ticket receiving and dispatching difficulty and the ticket dispatching difficulty of the logistics website, and the like of the logistics website where the first logistics worker is located, the server compares the first standard measurement with the receiving and dispatching parameters of the first logistics worker to obtain a first comparison result, and the server takes the first comparison result as the working condition of the first logistics worker at the logistics website; the server obtains a second standard measurement corresponding to the logistics network point by the second stream staff, wherein the second standard measurement refers to information such as the area type, the receiving and dispatching amount, the receiving and dispatching ratio, the post attribute, the ticket receiving and dispatching difficulty and the like of the logistics network point corresponding to the second stream staff, the server compares the second standard measurement with the receiving and dispatching parameters of the second stream staff to obtain a second comparison result, and the server takes the second comparison result as the working condition of the second stream staff in the logistics network point.
The server compares the first comparison result with the second comparison result to obtain a relatively idle target logistics worker, the server further sets a work distribution scheme of the target logistics worker, in this embodiment, determines a second logistics worker similar to the first logistics worker according to the performance evaluation value and the customer evaluation value, thus overcoming the difference caused by the logistics network points, and then the server introduces a first standard measurement of the first logistics worker corresponding to the logistics network points and a second standard measurement of the second logistics worker corresponding to the logistics network points, so that the work distribution scheme of the target logistics worker is obtained by combining the logistics network points of the work of the logistics worker to perform work saturation evaluation, so that the work distribution is more reasonable.
In the implementation of the method, the second physical distribution staff similar to the first physical distribution staff is determined according to the performance evaluation value and the customer evaluation value, so that differences caused by physical distribution network points are overcome, the evaluation dimension of the physical distribution staff is more reasonable, and the accuracy rate of physical distribution evaluation is improved; and then, selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, determining the work distribution scheme of the target logistics staff, and realizing reasonable work distribution, thereby improving the logistics work efficiency.
Referring to fig. 3, fig. 3 is a flowchart illustrating an embodiment of determining a performance evaluation value in the method for evaluating a logistics worker according to the embodiment of the present application.
In some embodiments of the present application, step 201 is not limited to a implementation manner of obtaining the performance evaluation value according to the basic performance information of the first logistics staff, and the performance evaluation value is determined by a model in this embodiment, specifically, the method includes steps 301-304:
and 301, obtaining basic performance information of the first logistics staff according to the receiving and dispatching behavior data of the first logistics staff, wherein the basic performance information comprises order quantity, collecting quantity, dispatching quantity and delivering quantity.
The server receives and dispatches the operation data of the delivery and the delivery according to the delivery and delivery behavior data of the first logistics staff, wherein the delivery and delivery behavior data refer to the operation data of the delivery and delivery of the logistics staff, misoperation information possibly exists in the delivery and delivery behavior data, the server filters the misoperation information, and the server determines information such as order quantity, collection quantity, delivery quantity and the like according to the effective delivery and delivery behavior data and sets the information as basic performance information of the first logistics staff.
302, calculating the cable yield of the first logistics staff according to the order quantity and the cable yield.
303, calculating the dispatch rate of the first logistics staff according to the dispatch amount and the delivery amount.
The server divides the pick-up quantity of the first logistics staff by the order quantity to obtain the pick-up yield of the first logistics staff; the server divides the dispatch volume of the first logistics staff by the delivery volume to obtain the dispatch rate of the first logistics staff.
304, processing the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value, wherein the basic performance evaluation model is obtained through training according to basic performance information of each sample logistics staff in a corresponding logistics network point of the first logistics staff.
The type of the basic performance evaluation model is not particularly limited, and for example, the basic performance evaluation model may be a neural network model, a regression prediction model, a kalman filter prediction model, a trend extrapolation prediction model or other prediction models, where,
the neural network model is also called a counter-propagation neural network, namely, through training of sample data, the network weight and the threshold value are continuously corrected to enable an error function to descend along a negative gradient direction and approach to expected output, and in the embodiment, the neural network model is established through extraction of data characteristics such as the solicitation rate and the dispatch rate of a large number of sample logistics workers;
The regression prediction model predicts according to the correlation between the independent variables and the dependent variables, the number of the independent variables can be one or more, the independent variables can be classified into unitary regression prediction and multiple regression prediction according to the number of the independent variables, and in the embodiment, the regression prediction model takes the yield and the dispatch rate of the logistics staff as the independent variables, takes the performance evaluation value of the logistics staff as the dependent variables, and constructs the regression prediction model according to the correlation between the independent variables and the dependent variables;
the Kalman filtering prediction model updates the estimation of the state variable by using the estimated value of the previous moment and the observed value of the current moment, and obtains the estimated value of the current moment; in the embodiment, a Kalman filtering prediction model is constructed according to the recovery rate and the dispatch rate of logistics workers in a preset time period;
the trend extrapolation prediction model is constructed by searching for the law of the development and change of things along with time according to the historic and actual data of the things, and in this embodiment, acquiring the collecting yield and sending rate of the first logistics staff and the current collecting yield and sending rate of the logistics staff in the historic time period.
The server processes the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value, and specifically comprises the following steps:
(1) Processing the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain an initial performance evaluation value;
(2) Processing the change rate of the cable yield through the basic performance evaluation model to obtain an evaluation adjustment value;
(3) And processing the initial performance evaluation value and the evaluation adjustment value through the basic performance evaluation model to obtain a performance evaluation value.
That is, in this embodiment, the server processes the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain an initial performance evaluation value; the server processes the change rate of the collected yield through a basic performance evaluation model to obtain an evaluation adjustment value; the server carries out weighting processing on the initial performance evaluation value and the evaluation adjustment value through the basic performance evaluation model to obtain a performance evaluation value, so that the evaluation of logistics staff can be more accurate.
Referring to fig. 4, fig. 4 is a schematic flow chart of an embodiment of constructing a basic performance evaluation model in the method for selecting logistics workers provided in the embodiment of the present application.
In some embodiments of the present application, the step 304 of selecting a logistics worker, processing the yield and the dispatch rate of the first logistics worker through a preset basic performance evaluation model, and pre-constructing the basic performance evaluation model before obtaining the performance evaluation value, further includes steps 401-404:
And 401, acquiring sample logistics workers corresponding to the logistics network points of the first logistics workers, and collecting and dispatching rates of the sample logistics workers.
The server acquires sample logistics staff corresponding to the logistics network points of the first logistics staff, the server acquires receiving and dispatching behavior data of each sample logistics staff, and the server determines the collection yield and dispatching rate of the sample logistics staff according to the receiving and dispatching behavior data of each sample logistics staff.
And 402, carrying out quantile division after sequencing the yield of the sample logistics workers to obtain quantile division intervals of the logistics lattice points.
The server sorts the recovery rate of each sample logistics worker and then carries out quantile division to obtain quantile division areas of the logistics network points, namely, the server sorts the recovery rate and then divides the quantile division areas of one logistics network point every 10%.
403, setting an evaluation value interval corresponding to each quantile dividing interval according to the quantile dividing interval of the logistics network point.
Setting a reference score by the server, then dividing the dividing intervals according to the number of the dividing intervals of the object flow net points, setting an evaluation value interval corresponding to each dividing interval, for example, setting the reference score to be 70 minutes by the server, and determining the first dividing interval by the server to be 70-75; the server divides the second score into the partitioned sections, determines the evaluation value section as 75-80 and so on.
And 404, constructing a basic performance evaluation model according to the evaluation value interval and the collection rate and dispatch rate of each sample logistics worker.
The server constructs a mapping relation according to the evaluation value interval and the solicitation rate and the delivery rate of each sample logistics worker, and takes the mapping relation as a basic performance evaluation model.
For easy understanding, the data set is the data set of the accumulated data of the logistics staff for 1 month in this embodiment: considering that the difficulty of receiving and dispatching the logistics staff at each logistics site is different, the embodiment does not adopt a method for uniformly scoring all the logistics staff, but calculates the score aiming at the basic performance characteristics of the logistics staff by taking one logistics site as a unit, and firstly, distributes the cable yield of the logistics staff in different evaluation value intervals according to rules by taking one logistics site as an example and taking a method of dividing the quantile as an example:
95-100:{x|x 0.9 <x≤x 1.0 }
90-95:{x|x 0.7 <x≤x 0.9 }
80-90:{x|x 0.3 <x≤x 0.7 }
75-80:{x|x 0.1 <x≤x 0.3 }
70-75:{x|x 0.0 ≤x≤x 0.1 }
Wherein x represents the recovery rate of logistics workers, x p In the indicating net point, the recovery rate of the logistics staff is arranged in an ascending order, and the p quantiles of the recovery rate are as follows: collecting logistics workers with the yield of 10% at the front, wherein the evaluation value interval is 70-75; the first 10% -30% of logistics workers have an evaluation value range of 75-80; the first 30% -70% of logistics workers have an evaluation value interval of 80-90; the first 70% -90% of logistics workers have an evaluation value range of 90-95; the evaluation value range of the former 90% -100% of logistics workers is 95-100. According to the scheme, the distribution of the evaluation values of the yield of the logistics workers can be controlled, the situation that the evaluation values of the logistics workers at the same website are too dense is avoided, meanwhile, 70 points are allocated on the basis, the feeling of the logistics workers is cared, and the situation that the evaluation values of the logistics workers are too low is avoided. The evaluation value interval used in the scheme can be set according to actual conditions by dividing intervals by quantiles and setting basic divisions.
The server maps indexes in the intervals into corresponding evaluation values according to the divided evaluation value intervals, and takes calculation of a commodity circulation staff yield evaluation value as an example: the staff recovery rate of the A material flow is 0.95, and the corresponding net point fraction interval is 80-90, wherein x is 0.3 ＝0.92，x 0.7 =0.98, i.e. 30% fraction of the cable yield is 0.92,70% fraction is 0.98, the cable yield evaluation value corresponding to the a-stream worker is:
thus, a basic performance evaluation model is established based on the overall yield of logistics workers, the 1-hour yield and the 2-hour dispatch rate: basic performance evaluation value=c1×yield evaluation value+c2×1 hour yield+c3×2 hour dispatch rate; in the basic performance evaluation model, c1, c2 and c3 are weight coefficients of indexes, and because the 1-hour collecting and delivering rate and the 2-hour delivering rate are indexes for intuitively reflecting timely receiving and delivering, the collecting and delivering rate is used as an auxiliary index, and the overall collecting and delivering condition of logistics workers is concerned, the scheme takes c1=0.2, c2=c3=0.4 and can be set according to practical conditions.
In order to encourage the logistics staff to continuously promote the receiving and dispatching performance, logic of rewarding and adding is set for the continuously promoted logistics staff, and taking the yield as an example: the component collecting rate is continuously improved for 3 months, and the component collecting rate is added with the dividing weight q 1 The component collecting rate is continuously increased for 2 months, and the component collecting rate is added with the dividing weight q 2 The method comprises the steps of carrying out a first treatment on the surface of the The component collecting rate is continuously increased for 1 month, and the component collecting rate is added with the dividing weight q 3 The method comprises the steps of carrying out a first treatment on the surface of the Wherein q 1 、q 2 、q 3 To add the weight, q is taken in the embodiment of the application 1 ＝0.4，q 2 ＝0.2，q 3 =0.1 can be set according to practical situations. Under the condition that the index of the recovery rate meets the continuous 3-month improvement, when the recovery rate is improved by 1% compared with the recovery rate of the recovery rate in the last month, the recovery rate evaluation value is added by 0.4 point, and the upper limit of the addition is 10 points, so that the scheme can be adjusted according to actual conditions. And finally, the server takes the basic performance evaluation value and basic performance lifting score of the logistics staff as the final basic performance evaluation value of the logistics staff.
Referring to fig. 5, fig. 5 is a schematic flow chart of an embodiment of determining a customer evaluation value in the method for evaluating a logistics worker according to the embodiment of the present application.
In some embodiments of the present application, step 202 obtains a customer evaluation value according to customer complaint information and customer evaluation information of the first logistics staff, and further includes steps 501-503:
501, inputting customer complaint information of a first logistics worker into a preset customer complaint assessment model to obtain a customer complaint assessment value; and the customer complaint assessment model is obtained by training customer complaint information of each sample logistics worker in the corresponding logistics network point of the first logistics worker.
The customer complaint assessment model is preset in the server, and is a neural network model obtained by training customer complaint information of each sample logistics worker in the corresponding logistics network point of the first logistics worker, and the server inputs the customer complaint information of the first logistics worker to the preset customer complaint assessment model to obtain a customer complaint assessment value.
And 502, performing score conversion on the customer ratings in the customer rating information corresponding to the first logistics staff to obtain a customer rating value.
And 503, carrying out weighting processing on the customer complaint evaluation value and the customer evaluation value to obtain a customer evaluation value corresponding to the first logistics staff.
The server carries out score conversion on the customer ratings corresponding to the customer rating information of the first logistics staff to obtain customer rating values, the server carries out weighting processing on the customer complaint rating values and the customer rating values to obtain customer rating values corresponding to the first logistics staff, and in the embodiment, accurate evaluation of the customers on the logistics staff is obtained according to the customer complaint information and the customer rating information.
For example, logistics is a service industry, so customer satisfaction with service is a key feature for evaluating logistics workers, and the method selects to construct an evaluation model for the service quality of the logistics workers from customer complaints and customer evaluation dimensions. In the embodiment of the application, 10 types of customer complaints with great influence on customer experience are selected: the method comprises the steps of delivering part delay, aging external collection, receiving part delay, sending part checking and signing, receiving part checking and signing, delivering part unknown, inconsistent information, error counting weight and cost, abnormal follow-up in time and error bill pasting.
According to the different severity of the complaint types, respectively based on different deduction weights, obtaining a model complaint evaluation value = Σaixi, wherein x is as follows i A, accumulating quantity of bills of the ith customer complaint type in the current month for logistics staff i The weight of the ith customer complaint category can be selected according to actual conditions. The customer evaluation feature is feedback of satisfaction degree of customers to service quality of logistics workers, and is mainly based on rating information of the customers to the logistics workers.
Referring to fig. 6, fig. 6 is a schematic flow chart of one embodiment of a customer rewards in a method for selecting a logistics worker according to an embodiment of the present application.
In some embodiments of the present application, step 204 of the present application performs a selection according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff, so as to obtain a target logistics staff, and before the work allocation scheme of the target logistics staff, the method for selecting logistics staff further includes steps 601-602:
601, acquiring employee levels corresponding to the target logistics workers and rewarding schemes corresponding to the employee levels;
602, the rewards program is sent to the target logistics staff.
After the server determines the target logistics staff, the server acquires staff grades corresponding to the target logistics staff and rewarding schemes corresponding to the staff grades; the server sends the rewarding scheme to the target logistics staff, and in the embodiment, the corresponding rewarding scheme is set for the target logistics staff, so that the rewarding is objective.
For the convenience of understanding, in this embodiment, the basic performance part evaluation value, the customer complaint evaluation value and the customer evaluation value of the comprehensive logistics staff are integrated to construct a logistics staff evaluation model, and in the application embodiment, the ranking ratio=the fight value total number of the logistics staff and the total number of the whole network ranking/total network logistics staff of the logistics staff, for example, the calculation result of the total network ranking ratio of the logistics staff is 0.0001%, the upward ranking is 1%, and the value is the decimal to the percentile.
Dividing gears for comprehensive evaluation values of logistics workers in network points, wherein the scheme is divided into 5 gears:
The current comprehensive evaluation values of the logistics staff are displayed at the logistics staff end in real time, and the evaluation values and detailed data of the evaluation values are displayed, so that the logistics staff can clearly know the current working conditions. In addition, the data information of the last gear can be displayed, the logistics staff is informed of the fact that the last grade is displayed, and what kind of lifting is needed to be carried out on the indexes, so that the logistics staff can clearly determine the improvement direction and the aim of the next stage, and self-management and self-driving of the logistics staff are achieved.
As shown in FIG. 7, FIG. 7 is a schematic diagram of one embodiment of a logistics worker's evaluation apparatus.
In order to better implement the method for selecting the logistics staff in the embodiment of the present application, on the basis of the method for selecting the logistics staff, the embodiment of the present application further provides a device for selecting the logistics staff, where the device for selecting the logistics staff includes:
the first evaluation module 701 is configured to obtain a performance evaluation value according to basic performance information of a first logistics worker;
the second evaluation module 702 is configured to obtain a customer evaluation value according to customer complaint information and customer evaluation information of the first logistics staff;
A determining module 703, configured to determine a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the customer evaluation value;
and the selecting module 704 is configured to select, according to the receiving and dispatching parameters of the first logistics worker and the receiving and dispatching parameters of the second logistics worker, to obtain a target logistics worker and a work distribution scheme of the target logistics worker.
In some embodiments of the present application, the first evaluation module 701 in the selecting device of the logistics worker further includes:
acquiring basic performance information of a first logistics worker according to the receiving and dispatching behavior data of the first logistics worker, wherein the basic performance information comprises order quantity, collecting quantity, dispatching quantity and delivering quantity;
calculating the recovery rate of the first logistics staff according to the order quantity and the recovery quantity;
calculating the dispatch rate of the first logistics staff according to the dispatch amount and the delivery amount;
and processing the recovery rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value, wherein the basic performance evaluation model is obtained by training basic performance information of each sample logistics staff in the corresponding logistics network point of the first logistics staff.
In some embodiments of the present application, the selecting device for logistics workers further includes:
acquiring sample logistics workers corresponding to logistics network points of a first logistics worker, and collecting yield and dispatching rate of each sample logistics worker;
carrying out quantile division after sequencing the yield of the sample logistics workers to obtain quantile division areas of the logistics network points;
setting an evaluation value interval corresponding to each quantile dividing interval according to the quantile dividing interval of the logistics network point;
and constructing a basic performance evaluation model according to the evaluation value interval and the collection rate and the delivery rate of each sample logistics worker.
In some embodiments of the present application, the selecting device for the logistics staff performs the processing of the collecting rate and the sending rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value, and further includes:
processing the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain an initial performance evaluation value;
processing the change rate of the cable yield through the basic performance evaluation model to obtain an evaluation adjustment value;
And processing the initial performance evaluation value and the evaluation adjustment value through the basic performance evaluation model to obtain a performance evaluation value.
In some embodiments of the present application, the second evaluation module 702 in the selecting device of the logistics worker further includes:
inputting customer complaint information of a first logistics worker into a preset customer complaint assessment model to obtain a customer complaint assessment value; the customer complaint assessment model is obtained by training customer complaint information of each sample logistics worker in the corresponding logistics network point of the first logistics worker;
performing score conversion on the customer ratings in the customer rating information corresponding to the first logistics staff to obtain customer rating values;
and carrying out weighting processing on the customer complaint evaluation value and the customer evaluation value to obtain a customer evaluation value corresponding to the first logistics staff.
In some embodiments of the present application, the determining module 703 in the selecting device of the logistics worker includes:
weighting the performance evaluation value and the client evaluation value to obtain a comprehensive evaluation value of the first logistics staff;
comparing the comprehensive evaluation value of the first logistics staff with the comprehensive evaluation value of each preset logistics staff in the logistics network;
And setting a preset logistics staff member similar to the comprehensive evaluation value of the first logistics staff member as a second logistics staff member.
In some embodiments of the present application, the selecting module 704 in the selecting device for a logistics worker includes:
acquiring a first standard measurement of a corresponding logistics website of the first logistics staff, and comparing the first standard measurement with a receiving and dispatching parameter of the first logistics staff to obtain a first comparison result;
obtaining a second standard measurement of the corresponding logistics network point of the second physical stream staff, and comparing the second standard measurement with the receiving and dispatching parameters of the second physical stream staff to obtain a second comparison result;
comparing the first comparison result with the second comparison result to obtain a target logistics worker and a work distribution scheme of the target logistics worker;
wherein the first and second criteria metrics comprise: regional type, amount of receipts and dispatches, receipt and dispatch ratio, post attribute, ticket average receipt difficulty and ticket average dispatch difficulty.
In some embodiments of the present application, the selecting device for logistics workers further includes:
And acquiring employee levels corresponding to the target logistics workers, rewarding schemes corresponding to the employee levels, and sending the rewarding schemes to the target logistics workers.
In this embodiment, the selecting device for the logistics staff: obtaining a performance evaluation value according to basic performance information of the first logistics staff; obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff; determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value; and selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
The embodiment of the invention also provides a logistics worker selecting device, as shown in fig. 8, and fig. 8 is a schematic structural diagram of an embodiment of the logistics worker selecting device provided in the embodiment of the invention.
The evaluation device of the logistics staff integrates any evaluation device of the logistics staff provided by the embodiment of the invention, and the evaluation device of the logistics staff comprises:
One or more processors;
a memory; and
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the processor to perform the steps in the method for selecting a logistics worker as described in any of the method embodiments for selecting a logistics worker described above.
Specifically, the present invention relates to a method for manufacturing a semiconductor device. The logistics staff review apparatus may include components such as a processor 801 of one or more processing cores, a memory 802 of one or more computer storage media, a power supply 803, and an input unit 804. It will be appreciated by those skilled in the art that the configuration of the logistics worker's review apparatus shown in FIG. 8 does not constitute a limitation of the logistics worker's review apparatus, and may include more or fewer components than illustrated, or may combine certain components, or a different arrangement of components. Wherein:
the processor 801 is a control center of the logistics staff's evaluation device, connects respective parts of the entire logistics staff's evaluation device using various interfaces and lines, and performs various functions and processing data of the logistics staff's evaluation device by running or executing software programs and/or modules stored in the memory 802 and calling data stored in the memory 802, thereby performing overall monitoring of the logistics staff's evaluation device. Optionally, the processor 801 may include one or more processing cores; preferably, the processor 801 may integrate an application processor that primarily handles operating systems, user interfaces, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 801.
The memory 802 may be used to store software programs and modules, and the processor 801 executes various functional applications and data processing by executing the software programs and modules stored in the memory 802. The memory 802 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created from the use of the logistics worker's review equipment, and the like. In addition, memory 802 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 802 may also include a memory controller to provide the processor 801 with access to the memory 802.
The logistics staff's evaluation device further comprises a power supply 803 for powering the various components, preferably the power supply 803 may be logically connected to the processor 801 via a power management system, whereby the functions of managing charging, discharging, and power consumption are achieved via the power management system. The power supply 803 may also include one or more of any components, such as a direct current or alternating current power supply, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.
The logistics staff's assessment device may further comprise an input unit 804, which input unit 804 may be used for receiving entered numerical or character information and generating keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.
Although not shown, the logistics staff's selecting device may further include a display unit and the like, which will not be described herein. In this embodiment, the processor 801 in the evaluation device of the logistics staff loads the executable files corresponding to the processes of one or more application programs into the memory 802 according to the following instructions, and the processor 801 runs the application programs stored in the memory 802, so as to implement various functions as follows:
obtaining a performance evaluation value according to basic performance information of the first logistics staff;
obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff;
determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value;
and selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be implemented by instructions, or by instruction control related hardware, that may be stored on a computer storage medium and loaded and executed by a processor.
To this end, an embodiment of the present invention provides a computer storage medium, which may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like. The method comprises the steps of storing a computer program, wherein the computer program is loaded by a processor to execute the steps in any method for selecting logistics workers. For example, the loading of the computer program by the processor may perform the steps of:
obtaining a performance evaluation value according to basic performance information of the first logistics staff;
obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff;
determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value;
And selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and the portions of one embodiment that are not described in detail in the foregoing embodiments may be referred to in the foregoing detailed description of other embodiments, which are not described herein again.
In the implementation, each unit or structure may be implemented as an independent entity, or may be implemented as the same entity or several entities in any combination, and the implementation of each unit or structure may be referred to the foregoing method embodiments and will not be repeated herein.
The specific implementation of each operation above may be referred to the previous embodiments, and will not be described herein.
The foregoing has described in detail the method for selecting a logistics worker according to the embodiment of the present application, and specific examples have been applied to illustrate the principles and embodiments of the present invention, and the above description of the examples is only for helping to understand the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present invention, the present description should not be construed as limiting the present invention.
Claims (10)
1. The method for selecting the logistics workers is characterized by comprising the following steps of:
obtaining a performance evaluation value according to basic performance information of the first logistics staff;
obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff;
determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value;
and selecting according to the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
2. The method for selecting a logistic staff member according to claim 1, wherein the step of obtaining the performance evaluation value according to the basic performance information of the first logistic staff member further comprises:
acquiring basic performance information of a first logistics worker according to the receiving and dispatching behavior data of the first logistics worker, wherein the basic performance information comprises order quantity, collecting quantity, dispatching quantity and delivering quantity;
calculating the recovery rate of the first logistics staff according to the order quantity and the recovery quantity;
Calculating the dispatch rate of the first logistics staff according to the dispatch amount and the delivery amount;
and processing the recovery rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain a performance evaluation value, wherein the basic performance evaluation model is obtained by training basic performance information of each sample logistics staff in the corresponding logistics network point of the first logistics staff.
3. The method for selecting logistics workers according to claim 2, wherein before the first logistics workers' yield and dispatch rate are processed through a preset basic performance evaluation model to obtain performance evaluation values, the method comprises:
acquiring sample logistics workers corresponding to logistics network points of a first logistics worker, and collecting yield and dispatching rate of each sample logistics worker;
carrying out quantile division after sequencing the yield of the sample logistics workers to obtain quantile division areas of the logistics network points;
setting an evaluation value interval corresponding to each quantile dividing interval according to the quantile dividing interval of the logistics network point;
and constructing a basic performance evaluation model according to the evaluation value interval and the collection rate and the delivery rate of each sample logistics worker.
4. The method for selecting a logistics worker according to claim 2, wherein the processing the first logistics worker's collecting rate and sending rate through a preset basic performance evaluation model to obtain a performance evaluation value further comprises:
processing the solicitation rate and the dispatch rate of the first logistics staff through a preset basic performance evaluation model to obtain an initial performance evaluation value;
processing the change rate of the cable yield through the basic performance evaluation model to obtain an evaluation adjustment value;
and processing the initial performance evaluation value and the evaluation adjustment value through the basic performance evaluation model to obtain a performance evaluation value.
5. The method for selecting a logistics worker according to claim 1, wherein the obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics worker further comprises:
inputting customer complaint information of a first logistics worker into a preset customer complaint assessment model to obtain a customer complaint assessment value; the customer complaint assessment model is obtained by training customer complaint information of each sample logistics worker in the corresponding logistics network point of the first logistics worker;
Performing score conversion on the customer ratings in the customer rating information corresponding to the first logistics staff to obtain customer rating values;
and carrying out weighting processing on the customer complaint evaluation value and the customer evaluation value to obtain a customer evaluation value corresponding to the first logistics staff.
6. The method of claim 1, wherein the determining a second physical distribution worker similar to the first physical distribution worker based on the performance evaluation value and the customer evaluation value comprises:
weighting the performance evaluation value and the client evaluation value to obtain a comprehensive evaluation value of the first logistics staff;
comparing the comprehensive evaluation value of the first logistics staff with the comprehensive evaluation value of each preset logistics staff in the logistics network;
and setting a preset logistics staff member similar to the comprehensive evaluation value of the first logistics staff member as a second logistics staff member.
7. The method for selecting and selecting logistics workers according to claim 1, wherein the selecting and selecting according to the receiving and dispatching parameters of the first logistics workers and the receiving and dispatching parameters of the second logistics workers to obtain target logistics workers and the work distribution scheme of the target logistics workers comprises the following steps:
Acquiring a first standard measurement of a corresponding logistics website of the first logistics staff, and comparing the first standard measurement with a receiving and dispatching parameter of the first logistics staff to obtain a first comparison result;
obtaining a second standard measurement of the corresponding logistics network point of the second physical stream staff, and comparing the second standard measurement with the receiving and dispatching parameters of the second physical stream staff to obtain a second comparison result;
comparing the first comparison result with the second comparison result to obtain a target logistics worker and a work distribution scheme of the target logistics worker;
wherein the first and second criteria metrics comprise: regional type, amount of receipts and dispatches, receipt and dispatch ratio, post attribute, ticket average receipt difficulty and ticket average dispatch difficulty.
8. The method for selecting a logistics worker according to any one of claims 1 to 7, wherein the selecting is performed according to the receiving and dispatching parameters of the first logistics worker and the receiving and dispatching parameters of the second logistics worker, so as to obtain a target logistics worker, and after the work distribution scheme of the target logistics worker, the method comprises:
And acquiring employee levels corresponding to the target logistics workers, rewarding schemes corresponding to the employee levels, and sending the rewarding schemes to the target logistics workers.
9. The utility model provides a commodity circulation staff's evaluation device which characterized in that, commodity circulation staff's evaluation device includes:
the first evaluation module is used for obtaining a performance evaluation value according to the basic performance information of the first logistics staff;
the second evaluation module is used for obtaining a customer evaluation value according to the customer complaint information and the customer evaluation information of the first logistics staff;
the determining module is used for determining a second physical distribution staff member similar to the first physical distribution staff member according to the performance evaluation value and the client evaluation value;
and the selecting module is used for selecting the receiving and dispatching parameters of the first logistics staff and the receiving and dispatching parameters of the second logistics staff to obtain target logistics staff and a work distribution scheme of the target logistics staff.
10. A computer storage medium having stored thereon a computer program, the computer program being loaded by a processor to perform the steps of the method of selecting a logistics worker of any one of claims 1 to 8.
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