TWI557659B - Evaluation system and method for logistics distribution efficiency - Google Patents

Description

Logistics distribution efficiency evaluation system and method thereof

The invention relates to a logistics distribution efficiency evaluation system and a method thereof, in particular to a logistics distribution efficiency evaluation system and a method thereof for considering the logistics personnel operation capability.

The distribution efficiency of logistics is one of the important factors to determine the competitiveness of logistics companies. How to establish a high-efficiency, safe and satisfactory logistics distribution mechanism between logistics and customers is a crucial issue for the logistics and distribution industry.

In the prior art, software is used for distribution route planning to achieve optimal distribution efficiency. However, the distribution route planned by the existing software often does not consider the operational ability of the logistics staff. Even if the optimal distribution route is planned, it is often impossible to complete the planned tasks within the specified time because the logistics personnel have insufficient capabilities. The overall service quality has declined.

At present, the practice of the industry is mostly based on the manual distribution of the distribution route planned by the logistics center with the aforementioned software. However, this method is often caused by the high turnover rate of the logistics staff and the unfamiliarity of the new logistics personnel to the distribution route, which often leads to the inability of the goods to be delivered on time, thereby affecting customer satisfaction. This caused the logistics company to lose its invisible. In addition, because it is assigned by people based on experience, there is a possibility that the work burden is unevenly distributed, and there is a problem that the analysis of transportation costs is difficult.

Therefore, how to propose a logistics distribution efficiency evaluation system and its method to improve the aforementioned problems is one of the urgent problems to be solved.

The main object of the present invention is to provide a logistics distribution efficiency evaluation system and method for improving the labor load distribution operation caused by manual assignment, resulting in an uneven workload, and thus having difficulty in analyzing transportation costs.

An embodiment of the present invention provides a logistics distribution efficiency evaluation system, including: a handheld device that generates at least one first measurement indicator; and a processing unit that receives the first measurement indicator, the processing unit includes: a storage module stores the first evaluation indicator and at least a second evaluation indicator; and an operation module obtains a percentage value of the logistics agent according to the first evaluation indicator and the second evaluation indicator; And assigning a module, according to the percentage of the efficiency of the logistician and a delivery route, obtaining the cost reduction of the delivery route, and performing the assignment of the delivery route and the logistics agent accordingly.

Another embodiment of the present invention provides a method for evaluating a logistics distribution efficiency, comprising: obtaining a first assessment indicator and a second assessment indicator; and obtaining an efficiency of the logistics personnel according to the first assessment indicator and the second assessment indicator The percentage value; and the cost reduction value according to the logistics agent's efficiency percentage value and a delivery route, and the distribution route and the logistics staff assignment operation are performed accordingly.

A logistics distribution efficiency provided by the above embodiments of the present invention The assessment system and method can consider the logistics staff's operational ability in the route planning, and can obtain the distribution route with reduced cost, avoid the uneven distribution of human work, and quantify the logistics staff's operation ability and efficiency for the purpose. Subsequent analysis and improved workflow have the effect of cost savings.

1‧‧‧Logistics Distribution Efficiency Assessment System

10‧‧‧Processing unit

11‧‧‧ Storage Module

12‧‧‧ Computing Module

13‧‧‧Assignment Module

14, 21‧‧‧ data input interface

15‧‧‧Distribution Path Planning Module

20‧‧‧Handheld devices

201‧‧‧Storage

211‧‧‧Customer Satisfaction Interface

212‧‧‧Customer preference interface

213‧‧‧Service time interface

214‧‧‧Distribution task record interface

S31~S33‧‧‧Steps

1 is a functional block diagram of the logistics distribution efficiency evaluation system of the present invention; FIG. 2 is a schematic diagram of a data input interface of the handheld device in the logistics distribution efficiency evaluation system of the present invention; and FIG. 3 is a logistics distribution of the present invention. A flow chart of the steps of the efficiency evaluation method; FIG. 4A is a schematic diagram of the logistic customer service number model of the present invention; FIG. 4B is a schematic diagram of the best efficiency model of the logistic customer service number of the present invention; A schematic diagram of the logistics customer service time model of the present invention; and FIG. 5B is a schematic diagram of the customer service time optimal efficiency model of the present invention.

The other embodiments of the present invention will be readily understood by those skilled in the art from this disclosure.

Please refer to FIG. 1 for the logistics distribution efficiency evaluation system 1 of the present invention. The handheld device 20 and the processing unit 10 are included. The processing unit 10 can be a server, a cloud server or a personal computer. The handheld device 20 can be a smart phone, a tablet or a customized computer device, and the handheld device 20 can be connected to the device through a wired or wireless manner. The unit 10 is connected, and the invention is not limited thereto.

The handheld device 20 is configured to generate at least one first measurement indicator, and the method for generating the first measurement indicator may be generated by inputting customer preference, customer satisfaction, or calculating the service by using the handheld device 20 Time and record of the distribution of the task record. As shown in FIG. 2, the handheld device 20 can input a customer preference such as a logistic customer, a customer satisfaction level, or a handheld device 20 through the customer preference interface 212, the customer satisfaction interface 211. The time is displayed through the service time interface 213, the delivery task record is recorded by the handheld device 20, and displayed through the delivery task record interface 214 to generate the first measurement indicator. The so-called customer preference of the logistics staff refers to the preference of the logistics staff for certain customers. Therefore, the customer preference of the logistics staff is input by the logistics staff. The satisfaction of the customer refers to the degree to which the customer is satisfied with the service of the logistics person. Therefore, the satisfaction of the customer is input by the customer. In addition, when the logistics agent starts the logistics distribution, it is necessary to click the "Start Service" button in the data input interface 21 of the handheld device 20, and when the service is finished, click the "End Service" button to count the service time. Or record the delivery task record. The data can be transferred to the storage module 11 of the processing unit 10 or the storage 201 in the handheld device 20 for storage. The storage unit 201 of the handheld device 20 can be transmitted by wireless communication or wired connection at any time. Data is transferred to the processing unit 10 by input or any storage element (eg, a flash drive, an SD card, etc.).

The processing unit 10 includes a storage module 11, a computing module 12, an assignment module 13, a data input interface 14, and a delivery path planning module 15. The processing unit 10 receives the foregoing customer preference, customer satisfaction, service time, or first evaluation indicator of the delivery task record, and stores the first evaluation indicator in the storage 201 of the handheld device 20 Or in the storage module 11 of the processing unit 10. In an embodiment, the storage module 11 can be a hard disk, a floppy disk, a compact disk, a flash drive, or a data library. The invention is not limited thereto.

In addition, the storage module 11 can further store at least one second evaluation indicator, which is a number of service customers of the logistician, a route familiarity, a known service time or a known delivery task record, and a second The assessment indicator is the historical work record data of the logistics staff in the past.

The computing module 12 establishes a logistic service capability model according to the first assessment indicator and the second assessment indicator to obtain a percentage value of the logistics staff.

In an embodiment, the calculation of the efficiency percentage value of the number of service customers is based on the historical statistics of the number of service customers of the logistician stored in the storage module 11, and the logistics as shown in FIG. 4A is established. The customer service number model, that is, the distribution statistics graph is established by the number of service customers and the number of assigned parameters, and the number of assigned users in the distribution statistical graph is the average number of service customers. (Customer Number) and set it as the number of service customers that the logistician can use for optimal efficiency. Next, set a quarter of the total number of assigned parameters in the distribution statistic graph to be Δ CN , and draw the optimal efficiency model of the number of logistic customer service numbers shown in FIG. 4B by using the following formula: Where Y is the percentage of efficiency and X is the number of service customers. For the largest number of assigned parameters in the distribution statistics graph of the number of service customers and the number of assigned parameters, Δ CN is one quarter of the total number of assigned parameters in the distribution statistical graph. Accordingly, the efficiency percentage value of the number of service customers of the logistician can be obtained therefrom.

In one embodiment, the calculation of the efficiency percentage value of the route familiarity is obtained by historical statistics of the route familiarity of the logistician stored in the storage module 11. For example, on the delivery route with customer A and customer B, the logistics agent has M times from customer A to customer B, and from customer B to customer A has N times, then the logistics person is in customer A to customer. The efficiency value of B (one-way) route familiarity can be calculated as follows: This is the calculation of one of the delivery routes (ie between customers A and B). When the number of segments of the delivery route has multiple segments, it can be calculated by the following formula: Where Y is the efficiency percentage value, n is the number of segments of the delivery route, and P is the one-way number of passes of one of the delivery routes divided by the total number of two-way travels of one of the delivery routes. According to this, the efficiency percentage value of the logistician in the delivery route can be obtained therefrom.

In an embodiment, the calculation of the efficiency percentage value of the service time is based on the historical statistical data of the service time stored in the storage module 11 to establish a logistic customer service time model as shown in FIG. 5A. That is, the distribution statistics graph is drawn by the time and number of times that all logisticians serve the specific customer. The maximum number of times in the distribution statistical graph is defined as the standard service time. (Service Time), That is, the average service time of all logistics personnel in a specific customer. Then from the logistic customer service time model, one tenth of the total number of times in the distribution statistical graph is defined as Δ ST . The customer service time best efficiency model as shown in Figure 5B can then be drawn according to the following formula: Among them, Y is the percentage of efficiency, and X is the average service time of all logistics personnel staying for a specific customer. For the largest number of times in the statistical graph of the service time and number of times for this particular customer, Δ ST is one tenth of the total number of times in the distribution statistic graph. According to this, the efficiency percentage value of the service time of the logistician can be obtained therefrom.

In an embodiment, the customer preference and the customer satisfaction of the logistician are presented in a manner of 0 to 100 points, and the percentage of the customer preference and the customer's satisfaction efficiency is directly 0. Presented in 100 points.

The delivery route planning module 15 is for providing a delivery route. The capital The input interface 14 is the expected efficiency value of each logistician for the business owner or supervisor. The assigning module 13 can obtain the result of the delivery route with reduced cost according to the foregoing percentage of the efficiency of the logistician and the delivery route provided by the delivery route planning module 15, so that the enterprise owner or the supervisor can perform the result according to the result. Distribution route and assignment of logistics staff.

In an embodiment, the assigning module 13 calculates a method for reducing the cost of the delivery route, and first multiplies the first evaluation indicator and the second evaluation indicator by a weight value and then accumulates as a work efficiency value. . For example, according to the distribution route calculated to obtain the percentage of the efficiency of the logistics staff (including the number of service customers CN, route familiarity PP, service time ST, customer preference CP, customer satisfaction CS), for each first / second The evaluation index sets a weight value W _k , k = 1, 2, 3, 4, 5, and w ₁ + w ₂ + w ₃ + w ₄ + w ₅ =1. According to this, the work efficiency value can be obtained: x _ij = CN × w ₁ + PP × w ₂ + ST × w ₃ + CP × w ₄ + CS × w ₅ . Then calculate according to the following formula to obtain the overall cost of the delivery route, and find out the cost reduction of the delivery route: C _p = (1 + | EX - x |) × C ; wherein Cp is the whole of the delivery route p Cost, C is the cost assigned to the distribution route p by the logistician, EX is the expected efficiency value of the logistician, and x is the operational efficiency value.

In an embodiment, the logistic service capability model can be dynamically updated over time and the accumulation of data such as the first/second assessment indicator, and more accurate results can be obtained.

Please refer to FIG. 3 again, the method for evaluating the logistics distribution efficiency of the present invention includes: obtaining a first assessment indicator and a second assessment indicator (steps) S31) obtaining a percentage value of the efficiency of the logistician according to the first rating indicator and the second rating indicator (step S32); and obtaining a reduction of the delivery route according to the percentage of the efficiency of the logistician and a delivery route The cost person performs the assignment operation of the delivery route and the logistician accordingly (step S33).

In one embodiment, the first evaluation indicator is generated from a handheld device, and the second evaluation indicator is stored in a storage module of a processing unit. In another embodiment, the first assessment indicator is a customer preference of the logistician, a customer satisfaction, a service time, or a delivery task record, and the second assessment indicator is a number of service customers of the logistician, and a familiarity of the route. , known service time or known delivery task records. The generation and calculation of the percentage of the efficiency of the customer's customer preference, customer satisfaction, number of service customers, route familiarity or service time are as described above, and will not be repeated here.

According to the logistics distribution efficiency evaluation system and the method thereof of the present invention, the logistics staff operation capability can be considered together with the route planning to obtain the percentage value of the logistics staff, and the distribution route can be further matched with the delivery route to reduce the cost. As a result, the business owner can perform the assignment of the logistician according to the result, and the ability and efficiency of the logistician can be quantified. Therefore, the present invention considers the difference in the ability of the logistician to avoid the uneven distribution of human work, and the quantitative result is more suitable for subsequent analysis and improvement of the work assignment process, and has the effect of cost saving.

The above-described embodiments are merely illustrative of the principles of the invention and its effects, and are not intended to limit the invention. Modifications and variations of the above-described embodiments can be made by those skilled in the art without departing from the spirit and scope of the invention. Therefore, those who have this expertise in the technical field are All equivalent modifications or variations that are made without departing from the spirit and scope of the inventions disclosed herein are still covered by the appended claims.

1‧‧‧Logistics Distribution Efficiency Assessment System

10‧‧‧Processing unit

11‧‧‧ Storage Module

12‧‧‧ Computing Module

13‧‧‧Assignment Module

14‧‧‧Data input interface

15‧‧‧Distribution Path Planning Module

20‧‧‧Handheld devices

201‧‧‧Storage

Claims (14)

A logistics distribution efficiency evaluation system includes: a handheld device that generates at least one first measurement indicator; and a processing unit that receives the first measurement indicator, the processing unit includes: a storage module that stores the a first evaluation indicator and at least a second evaluation indicator; an operation module, which is based on the first evaluation indicator and the second evaluation indicator to obtain a percentage value of the efficiency of the logistics person; The percentage of the efficiency of the franchise and a distribution route, the person who has obtained the cost of the delivery route, and the assignment of the distribution route and the logistics; and a data input interface for inputting the expected efficiency value of the logistician; The method for obtaining the cost of the delivery route by the assigning module is obtained by multiplying the first evaluation indicator and the second evaluation indicator by a weight value and accumulating the work efficiency value, and obtaining the work efficiency value according to the following formula The overall cost of the distribution route, based on which to find out the cost of the delivery route: C _p = (1 + | EX - x |) × C , where Cp is the overall distribution of the distribution route p Here, C is the cost assigned to the distribution route p by the logistician, EX is the expected efficiency value of the logistician, and x is the operational efficiency value. For example, the logistics distribution efficiency evaluation system mentioned in item 1 of the patent application scope The first assessment indicator is the customer preference of the logistician, customer satisfaction, service time or delivery task record. The logistics distribution efficiency evaluation system according to claim 1, wherein the second evaluation indicator is a number of service customers of the logistician, a route familiarity, a known service time, or a known delivery task record. For example, the logistics distribution efficiency evaluation system described in claim 3, wherein the efficiency percentage value of the service customer number is calculated as: Where Y is the percentage of efficiency and X is the number of service customers. For the largest number of assigned parameters in the distribution statistics graph of the number of service customers and the number of assigned parameters, Δ CN is one quarter of the total number of assigned parameters in the distribution statistical graph. For example, the logistics distribution efficiency evaluation system described in claim 3, wherein the efficiency percentage value of the route familiarity is calculated as: Where Y is the efficiency percentage value, n is the number of segments of the delivery route, and P is the one-way number of passes of one of the delivery routes divided by the total number of two-way travels of one of the delivery routes. For example, the logistics distribution efficiency evaluation system described in claim 3, wherein the service percentage time efficiency value calculation formula is: ;and Among them, Y is the percentage of efficiency, and X is the average service time of all logistics personnel staying for a specific customer. For the largest number of times in the statistical graph of the service time and number of times for this particular customer, Δ ST is one tenth of the total number of times in the distribution statistic graph. The logistics distribution efficiency evaluation system described in claim 1 further includes a distribution route planning module for providing the delivery route. A method for evaluating a logistics distribution efficiency, comprising: obtaining a first assessment indicator and a second assessment indicator; obtaining a percentage value of the efficiency of the logistics person according to the first assessment indicator and the second assessment indicator; and according to the logistician The efficiency percentage value and a delivery route, the person who has obtained the delivery route and has the cost reduction, and accordingly, the distribution route and the assignment of the logistics person are performed; wherein the method for calculating the cost reduction of the delivery route is for the first evaluation The quantity indicator and the second evaluation indicator are respectively multiplied by the weight value and accumulated as the work efficiency value, and the overall cost of the delivery route is obtained according to the following formula, and the cost of the delivery route is found according to the following: C _p =( 1+| EX - x |) × C , where Cp is the overall cost of the delivery route p, C is the cost assigned to the delivery route p by the logistician, EX is the expected efficiency value of the logistician, and x is the operational efficiency value . The method for evaluating a logistics distribution efficiency according to claim 8, wherein the first evaluation indicator is generated from a handheld device, and the second evaluation indicator is stored in a storage module of a processing unit. For example, the method for evaluating a logistics distribution efficiency according to claim 8 is wherein the first evaluation indicator is a customer preference of the logistician, a customer satisfaction, a service time, or a delivery task record. The method for evaluating a logistics distribution efficiency according to claim 8, wherein the second evaluation indicator is a number of service customers of the logistician, a route familiarity, a known service time, or a known delivery task record. For example, the method for evaluating the logistics distribution efficiency described in claim 11 wherein the efficiency percentage value of the number of service customers is calculated as: Where Y is the percentage of efficiency and X is the number of service customers. For the largest number of assigned parameters in the distribution statistics graph of the number of service customers and the number of assigned parameters, Δ CN is one quarter of the total number of assigned parameters in the distribution statistical graph. For example, the logistics distribution efficiency evaluation method described in claim 11 wherein the efficiency percentage value of the route familiarity is calculated as: Where Y is the efficiency percentage value, n is the number of segments of the delivery route, and P is the one-way number of passes of one of the delivery routes divided by the total number of two-way travels of one of the delivery routes. For example, the method for evaluating the logistics distribution efficiency described in claim 11 wherein the efficiency percentage value of the service time is calculated as: ;and Among them, Y is the percentage of efficiency, and X is the average service time of all logistics personnel staying for a specific customer. For the largest number of times in the statistical graph of the service time and number of times for this particular customer, Δ ST is one tenth of the total number of times in the distribution statistic graph.