A method for monitoring the transport capacity of a DMS system

Abstract

The present invention discloses a capacity monitoring method for a DMS system, comprising the following steps: S1. counting the real-time available riders in a store area; S2. obtaining the delivery efficiency and load condition of each available rider, so as to obtain the actual number of available riders in the store; S3. judging the discreteness of real-time store orders; S4. judging the efficiency ratio of the delivery riders and orders in the same period of history; S5. feeding back the real-time capacity situation and capacity scheduling suggestions based on all judgment results; judging and comparing the efficiency ratio of the delivery riders and orders in the same period of history based on the discreteness of the real-time store orders, thereby greatly improving the labor efficiency of the riders, improving the delivery efficiency for restaurants, and saving costs.

Description

Technical Field

[0001] The invention relates to a method for monitoring the transport capacity of a DMS system. Background Art

[0002] With the development of mobile Internet, food delivery has become the "third normal" in people's daily lives. By 2018, the daily order volume of Meituan, a food delivery platform alone, has reached 30 million. So how to efficiently handle these large numbers of demand orders? The traditional intelligent dispatching system has low dispatching efficiency due to its single dispatching logic and lack of intelligence. In order to solve the problem of efficient delivery, DMS came into being. The importance of DMS to food delivery platforms is equal to the importance of logistics distribution systems to JD.com. It is an important link in connecting food delivery platforms online and offline.

[0003] As the number of orders increases, improving order delivery efficiency becomes particularly important. It can not only improve efficiency and save costs for restaurants, but also win reputation and market for restaurants. Summary of the invention

[0004] The purpose of the present invention is to solve the defects in the prior art and provide a capacity monitoring method for the DMS system that judges the efficiency of delivery riders and orders in the same period in history according to the discreteness of real-time store orders, greatly improving the labor efficiency of riders and improving the delivery efficiency of restaurants, so as to solve the problems existing in the prior art.

[0005] To achieve the above object, the technical solution of the present invention is as follows:

[0006] A method for monitoring the transport capacity of a DMS system comprises the following steps:

[0007] S1. Count the real-time available riders in the store area;

[0008] S2. Obtain the delivery efficiency and load of each available rider, so as to obtain the actual number of available riders in the store;

[0009] S3. Determine the dispersion of real-time store orders; the specific steps are as follows: obtain store orders in real time, divide the orders by region by analyzing the location distribution of the orders, calculate the distance between the delivery addresses of the two orders, and obtain the distance between the two farthest orders to obtain the location dispersion of the store orders;

[0010] S4. Determine the efficiency ratio of delivery riders to orders in the same period of history; the specific steps are as follows: count the delivery riders whose order on-time rate is greater than or equal to 95% in each time period in the past, take the average value as the average value of the efficiency ratio of the orders, and compare the efficiency ratio of the delivery riders to orders of the store in the current period with the average value. If the absolute value of the difference between the efficiency ratio of the delivery riders to orders in the current period and the average value is too large, then the current store has insufficient or excessive transportation capacity;

[0011] S5. Provide real-time capacity status and capacity scheduling suggestions based on all judgment results; by analyzing the efficiency ratio of delivery riders and orders in the same period in history, if the difference between the efficiency ratio of delivery riders and orders in the current period and the average value is positive, it means that the current store has excess riders, and it is necessary to suggest that the store can appropriately reduce the number of delivery riders during this period and give a recommended value for reducing the number of delivery riders; if the difference between the efficiency ratio of delivery riders and orders in the current period and the average value is negative, it means that the current store has insufficient riders, and it is necessary to suggest that the store increase the number of delivery riders during this period and give a recommended value for the number of new riders.

[0012] In order to further implement the present invention, the specific steps of obtaining the actual number of available riders in a store are as follows:

[0013] Traverse the rider list, first determine whether the rider is on duty, and then determine whether the total number of orders being delivered and to be delivered by the rider is equal to or greater than the maximum load number, so as to obtain the actual list of available riders that meet the above two conditions.

[0014] In order to further realize the present invention, delivery efficiency includes average delivery time, punctuality rate, order reminder rate and complaint rate; rider load is the number of orders being delivered, the number of orders to be delivered and the maximum load of the rider; the delivery capacity of the rider is judged by analyzing the average delivery time, punctuality rate, order reminder rate and complaint rate of each rider in the current store; whether the rider is currently idle is analyzed by analyzing the number of orders being delivered, the number of orders to be delivered and the maximum load of the rider; the actual number of available riders in the store is judged by analyzing the rider and delivery capacity and whether the rider is in an idle state.

[0015] Beneficial Effects

[0016] Compared with traditional order monitoring, the present invention judges and matches the efficiency of delivery riders and orders in the same period with that in history according to the discreteness of real-time store orders, dynamically feeds back store capacity, and can instantly dispatch store delivery personnel, thereby reducing the situation where delivery personnel have no orders to deliver or have too many orders, greatly improving the labor efficiency of riders, improving delivery efficiency for restaurants, and reducing delivery pressure on restaurant stores. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1It is a flow chart of the capacity monitoring method of the DMS system of the present invention;

[0018] Figure 2 The present invention is a flow chart for obtaining the actual number of available riders in a store in the capacity monitoring method of the DMS system. DETAILED DESCRIPTION

[0019] The present invention is further described in detail below in conjunction with the accompanying drawings. These drawings are simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner. The direction of this specific implementation is to Figure 1 Direction is standard.

[0020] Embodiment 1

[0021] like Figure 1-Figure 2 As shown, the capacity monitoring method of the DMS system of the present invention includes the following steps:

[0022] Step 1: Count the real-time available riders in the store area.

[0023] Among them, the available riders are the riders who are already at work in the store within a certain time interval.

[0024] Step 2: Obtain the delivery efficiency and load status of each available rider to obtain the actual number of available riders in the store.

[0025] The specific steps to obtain the actual number of available riders in a store are as follows:

[0026] Traverse the rider list, first determine whether the rider is on duty, and then determine whether the total number of orders being delivered and to be delivered by the rider is equal to or greater than the maximum load number, so as to obtain the actual list of available riders that meet the above two conditions.

[0027] Among them, delivery efficiency includes average delivery time, punctuality rate, order reminder rate and complaint rate; rider load is the number of orders being delivered, the number of orders to be delivered and the maximum load of the rider; the delivery capacity of the rider is judged by analyzing the average delivery time, punctuality rate, order reminder rate and complaint rate of each rider in the current store; whether the rider is currently idle is analyzed by analyzing the number of orders being delivered, the number of orders to be delivered and the maximum load of the rider; the actual number of available riders in the store is judged by analyzing the rider and delivery capacity and whether the rider is idle.

[0028] Step 3: Determine the discreteness of real-time store orders; the specific steps are as follows: obtain store orders in real time, analyze the location distribution of orders, divide orders by region, calculate the distance between the delivery addresses of each order, and obtain the distance between the two farthest orders to obtain the location discreteness of store orders. By analyzing the discreteness of store orders, orders within the store are merged, so that similar orders can be assigned to the same rider, reducing the rider's delivery time.

[0029] Step 4: Determine the efficiency ratio of delivery riders and orders in the same historical period. The specific steps are as follows: count the delivery riders whose order punctuality rate is greater than or equal to 95% in each time period in the past month, take the average value as the average value of the efficiency ratio of the orders, and compare the efficiency ratio of the delivery riders and orders of the store in the current period with the average value. If the absolute value of the difference between the efficiency ratio of the delivery riders and orders in the current period and the average value is too large, then the current store has insufficient or excessive capacity.

[0030] Step 5: Provide real-time capacity status and capacity scheduling suggestions based on all judgment results.

[0031] By analyzing the efficiency ratio of delivery riders and orders in the same historical period, if the difference between the efficiency ratio of delivery riders and orders in the current period and the average value is a positive number, it means that the current store has excess riders, and it is necessary to suggest that the store can appropriately reduce the number of delivery riders in this period and give a recommended value for reducing the number of delivery riders; if the difference between the efficiency ratio of delivery riders and orders in the current period and the average value is a negative number, it means that the current store has insufficient riders, and it is necessary to suggest that the store increase the number of delivery riders in this period and give a recommended value for the number of new riders.

[0032] Compared with traditional order monitoring, the present invention judges and matches the efficiency of delivery riders and orders in the same period with that in history according to the discreteness of real-time store orders, dynamically feeds back store capacity, and can instantly dispatch store delivery personnel, thereby reducing the situation where delivery personnel have no orders to deliver or have too many orders, greatly improving the labor efficiency of riders, improving delivery efficiency for restaurants, and reducing delivery pressure on restaurant stores.

[0033] The above is only a preferred embodiment of the present invention, and the present invention is not limited to the above embodiment. There may be local minor structural changes during the implementation process. If the various changes or modifications of the present invention do not depart from the spirit and scope of the present invention and fall within the scope of the claims and equivalent technologies of the present invention, the present invention is also intended to include these changes and modifications.

Claims

1. A method for monitoring the transport capacity of a DMS system, characterized in that: The following steps are involved: S1. Count the real-time available riders in the store area; S2. Obtain the delivery efficiency and load of each available rider, so as to obtain the actual number of available riders in the store; S3. Determine the dispersion of real-time store orders; the specific steps are as follows: obtain store orders in real time, divide the orders by region by analyzing the location distribution of the orders, calculate the distance between the delivery addresses of the two orders, and obtain the distance between the two farthest orders to obtain the location dispersion of the store orders; S4. Determine the efficiency ratio of delivery riders to orders in the same period of history; the specific steps are as follows: count the delivery riders whose order on-time rate is greater than or equal to 95% in each time period in the past, take the average value as the average value of the efficiency ratio of the orders, and compare the efficiency ratio of the delivery riders to orders of the store in the current period with the average value. If the absolute value of the difference between the efficiency ratio of the delivery riders to orders in the current period and the average value is too large, then the current store has insufficient or excessive transportation capacity; S5. Provide real-time capacity status and capacity scheduling suggestions based on all judgment results; by analyzing the efficiency ratio of delivery riders and orders in the same period in history, if the difference between the efficiency ratio of delivery riders and orders in the current period and the average value is positive, it means that the current store has excess riders, and it is necessary to suggest that the store can appropriately reduce the number of delivery riders during this period and give a recommended value for reducing the number of delivery riders; if the difference between the efficiency ratio of delivery riders and orders in the current period and the average value is negative, it means that the current store has insufficient riders, and it is necessary to suggest that the store increase the number of delivery riders during this period and give a recommended value for the number of new riders.

2. The capacity monitoring method of the DMS system according to claim 1, characterized in that: The specific steps to obtain the actual number of available riders in a store are as follows: Traverse the rider list, first determine whether the rider is on duty, and then determine whether the total number of orders being delivered and to be delivered by the rider is equal to or greater than the maximum load number, so as to obtain the actual list of available riders that meet the above two conditions.

3. The capacity monitoring method of the DMS system according to claim 2, characterized in that: Delivery efficiency includes average delivery time, punctuality rate, order reminder rate and complaint rate; rider load includes the number of orders being delivered, the number of orders to be delivered and the maximum load of the rider; the delivery capacity of the rider is judged by analyzing the average delivery time, punctuality rate, order reminder rate and complaint rate of each rider in the current store as the measurement criteria; whether the rider is currently idle is analyzed by analyzing the number of orders being delivered, the number of orders to be delivered and the maximum load of the rider; the actual number of available riders in the store is judged by analyzing the rider and delivery capacity and whether the rider is idle.

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