KR101839609B1 - Apparatus for distributing goods based on assorting box, method thereof, and computer recordable medium storing the method - Google Patents
Apparatus for distributing goods based on assorting box, method thereof, and computer recordable medium storing the method Download PDFInfo
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Abstract
The present invention relates to an apparatus for distributing goods based on a classification box, a method therefor and a computer-readable recording medium on which the method is recorded. The present invention relates to a demand prediction module for predicting a demand, which is a quantity per product size, for each of a plurality of stores, and a type and quantity of a classification box having a configuration in which a size and a quantity of a product are different, And a method therefor and a computer readable recording medium on which the method is recorded.
Description
BACKGROUND OF THE
Logistics refers to the flow of water from producer to consumer with less physical distribution. In general, the concept of distribution includes activities to transfer goods and services from producers to consumers and to create the utility of place, time, and ownership. Logistics, on the other hand, defines logistics as a place that creates utility of place and time, excluding transactions that satisfy the utility of ownership. Specifically, it includes both the process of transporting, unloading, packing, and storing raw and subsidiary materials into production sites, producing and shipping finished products at factories and supplying them to end users, and distribution processes such as distribution processing and transportation infrastructure . In addition, information distribution concepts such as communication infrastructure and information network are all included here. Logistics therefore refers to the parts related to national key industry activities such as transportation infrastructure, communication infrastructure, and transportation, storage, unloading, packaging, distribution, processing and information functions that companies can manage in their own way. The concept of logistics comes from logistics, a field of military science. The know-how generated in the course of establishing and managing plans for the movement and withdrawal of military personnel, the supply of military supplies, and the construction and operation of facilities was introduced into business activities under the name of logistics.
An object of the present invention is to provide an apparatus for determining the type and number of classification boxes provided to each store in accordance with demand forecasting and distributing the products to each store through the method, a method therefor and a computer readable recording medium .
According to another aspect of the present invention, there is provided an apparatus for distributing a product, comprising: a demand prediction module for predicting demand, which is a quantity per size of a product, for each of a plurality of stores; And a box configuration module for deriving the types and the quantities of the classification boxes in which a difference from the demand is minimized when the goods are distributed using the classification boxes having different configurations.
The box configuration module calculates the type and quantity of the classification box using the following equation,
Wherein M is a maximum classification box configurable number of combinations, i is an index of a store, j is an index of a classification box, k is an index of a size, N is a number of stores, S is a number of size categories, , And
Is the demand quantity with respect to the size k of the store i, Is the number of the size k of the classification box j, Is the number of classification boxes j allocated to the store i.Wherein the box configuration module stores at least one of a minimum number of classification boxes distributed to each of the stores, a maximum number of classification boxes distributed to each of the stores, a maximum value of the classification box types, and a maximum value of the number of classification boxes And the type of the classification box and the quantity of the classification box are derived in a limited manner.
The apparatus for distributing a product according to an exemplary embodiment of the present invention includes an interface unit for communication, a sorting box sorting unit for sorting the sorting box necessary for the entire store, And a distribution processing module for transmitting the quantity to the factory terminal via the interface unit.
An apparatus for distributing a product according to an embodiment of the present invention includes an interface unit for communication and a sorting and sorting unit for sorting the quantity and type of the sorting box corresponding to the demand of each store so that the goods are distributed according to the demand of each store, And a distribution processing module that transmits the distribution processing module to the terminal.
According to another aspect of the present invention, there is provided a method for distributing a product, the method comprising: predicting a demand, which is a quantity per size of a product, for each of a plurality of stores; And deriving the kind and quantity of the classification box in which the difference from the demand is minimized when distributing the product using the classification box having the configuration.
Wherein the calculating step calculates the type and quantity of the classification box using the following equation,
Wherein M is a maximum classification box configurable number of combinations, i is an index of a store, j is an index of a classification box, k is an index of a size, N is a number of stores, S is a number of size categories, , And
Is the demand quantity with respect to the size k of the store i, Is the number of the size k of the classification box j, Is the number of classification boxes j allocated to the store i.Wherein the calculating step calculates at least one of a minimum number of classification boxes distributed to each of the stores, a maximum number of classification boxes distributed to each of the stores, a maximum value of the classification box types, and a maximum value of the number of classification boxes And the type of the classification box and the quantity of the classification box are limited.
After the step of deriving the type and the quantity of the classification box, the kind and quantity of the classification box necessary for the entire store are transmitted to the factory terminal so that the product produced in the factory is packed in accordance with the kind and quantity of the classification box required for the entire store .
And transmitting to the warehouse terminal the type and quantity of the classification box corresponding to the demand of each store so that the goods are distributed according to the demand of each store after deriving the kind and quantity of the classification box.
According to another aspect of the present invention, there is provided a computer-readable recording medium having recorded thereon a method for distributing a product according to a preferred embodiment of the present invention.
According to the present invention as described above, a classification box is used to distribute a product to each store. The classification box may have a configuration in which the size and quantity of the goods are different. The present invention determines the type and quantity of the classification boxes provided to each store according to the demand forecast, and packages the products produced at the factory using the determined types. Therefore, there is no need to carry out additional repacking work in the warehouse, and it is possible to save the logistics cost by simply providing the classification boxes in combination with each store. Moreover, because the distribution of goods through demand forecasting can not only reduce opportunity loss due to inadequate demand, but also reduce the loss of management overhead costs.
1 is a view for explaining a classification box according to an embodiment of the present invention.
Figures 2 and 3 are flow charts illustrating the benefits of goods distribution using a classification box in accordance with an embodiment of the present invention.
4 is a view for explaining a method of constructing a classification box according to an embodiment of the present invention.
5 and 6 are views for explaining a goods distribution system according to an embodiment of the present invention.
7 is a block diagram illustrating a configuration of a management server according to an embodiment of the present invention.
8 is a flowchart for explaining a method for distributing goods based on a classification box of a goods distribution system according to an embodiment of the present invention.
9 is a flowchart illustrating a method for distributing goods based on a classification box of a management server according to an embodiment of the present invention.
Prior to the detailed description of the present invention, the terms or words used in the present specification and claims should not be construed as limited to ordinary or preliminary meaning, and the inventor may designate his own invention in the best way It should be construed in accordance with the technical idea of the present invention based on the principle that it can be appropriately defined as a concept of a term to describe it. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention, and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents It should be understood that water and variations may be present.
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Note that, in the drawings, the same components are denoted by the same reference symbols as possible. Further, the detailed description of known functions and configurations that may obscure the gist of the present invention will be omitted. For the same reason, some of the elements in the accompanying drawings are exaggerated, omitted, or schematically shown, and the size of each element does not entirely reflect the actual size.
According to the embodiment of the present invention, a product is distributed to each store using a classification box. The classification box will be described below. 1 is a view for explaining a classification box according to an embodiment of the present invention.
Referring to FIG. 1, a sorting box according to an embodiment of the present invention is basically a packaging container for storing goods having different sizes and quantities. For example, a product can be a garment. It is assumed that the size of this garment is only L (large), M (medium) and S (small). These classification boxes may have various types, and they may be composed of different sizes and quantities according to their types. 1, the
As described above, the classification boxes are configured in different sizes and quantities according to their types, and there is an advantage that the burden of logistics can be reduced when such classification boxes are used. The advantages of such a classification box will now be described in more detail. Figures 2 and 3 are flow charts illustrating the benefits of goods distribution using a classification box in accordance with an embodiment of the present invention. FIG. 2 shows a general product dispensing process using a general packing box without a classification box, and FIG. 3 shows a product distribution process based on a classification box. Referring to FIG. 2 and FIG. 3, a general product distribution procedure and a classification box-based product distribution procedure will be described in comparison with each other. Particularly, in FIG. 2 and FIG. 3, the 'shipping center' emphasizes that the warehouse is a small warehouse in terms of the capacity to store goods compared to the 'warehouse'. In other words, a 'warehouse' is a large warehouse in terms of capacity to store goods compared to a 'shipping center'.
As shown in the figure, a general product dispensing process produces goods at a factory, packages each product by size, and then delivers it to a shipping center and a warehouse. For example, L size, M size, and S size of the garment A are packed in different packaging boxes. The packaging made at the factory is made by size, but the goods to be shipped to each store must provide goods of different size and quantity. For example, it is necessary to provide clothing A with three L size, M size ten, and S size seven. Therefore, the shipping center or the warehouse should repackage each quantity according to the size required for each store. That is, after opening the packaging box packed by size, it is packed again in another packaging box in the size and quantity necessary for each store. Once these packages are completed, the items can be shipped to the store, and each store can sell the product to the customer.
On the other hand, if we look at the distribution procedure based on the classification box, the product is produced at the factory, packed using the classification box, and then delivered to the delivery center. Since the classification box has a different quantity for each size, a combination of one or more classification boxes can match the quantity per size required for each store. Therefore, unlike the general product distribution procedure, the shipping center combines the required classification boxes and delivers them to the store without having to repackage them according to the size required for each store. Then, you can sell it to customers at each store. As described above, in the case of using the classification box, there is no need for a repackaging procedure before delivery, and therefore, the time for storing the goods in the warehouse is extremely short because the repacking time and manpower are reduced. As described above, according to the goods distribution procedure based on the classification box, time and manpower are remarkably reduced, and only a small-sized shipping center can be used, resulting in a remarkable saving in logistics costs.
In order to maximize the benefits of the classification box described above, it is important to know how to construct the classification box. Hereinafter, how to configure a classification box for optimal product distribution according to an embodiment of the present invention will be described. 4 is a view for explaining a method of constructing a classification box according to an embodiment of the present invention.
According to the present invention, the distribution of goods is based on demand, and the demand means the quantity per size of each product required in each store. Here, demand is a predicted value, and such demand forecasting can be performed based on sales data such as sales results. The demand prediction in the embodiment of the present invention is not limited, but the demand prediction predicts the quantity of each product size required in each store. As shown in the figure, when the
As shown in the figure, in the case of the
For example, when the
Therefore, according to the present invention, when distributing a product using a classification box, the classification of the classification box and the quantity of the classification box should be determined so that the difference from the demand is minimized. For example, it is assumed that there are three stores, and the demand is as shown in Table 1 below.
It is assumed that the configuration of the classification box is as shown in the following Table 2 as a reference example as a reference for comparison.
According to the example of Table 2, when one
As a comparative example for comparison with the above-described reference example, it is assumed that the configuration of the classification box is as shown in Table 3 below.
According to the example in Table 3, when one
As described above, when three classification boxes in Table 3 are used, it can be seen that the difference from demand is reduced as compared with the case where three classification boxes in Table 2 are used. As such, the present invention must derive the type and quantity of the optimal sort box in order to minimize the difference from demand. In other words, to minimize the difference from demand, it is necessary to use what kind of classification box and how many kinds of classification box to use. For example, according to Tables 1 and 3, the present invention can derive the types and the quantities of the classification boxes as shown in Tables 4 and 5 below.
Referring to Tables 4 and 5, the types and the quantities of derived classification boxes are classified into the types of classification boxes required for the entire store as shown in Table 4, the quantity according to the types, and the demand for each store as shown in Table 5 And the type and quantity of the classification box corresponding to the classification box. Through the types and quantity of classification boxes shown in Table 4, various classification boxes have a certain configuration (size and quantity of each size), and it is possible to know how many kinds of classification boxes should be prepared. Through the types and quantities of classification boxes as shown in Table 5, it is possible to know how many kinds of classification boxes should be distributed to which stores.
According to the present invention, the types and the quantities of the classification boxes can be derived by using the following equation (1).
Where N is the number of stores, S is the number of size categories, M is the maximum number of classification box configurable combinations, i is the index of the store, j is the index of the classification box, and k is the index of the size. Also,
Is the demand for size k of store i, Is the number of the size k of the classification box j, Represents the number of classification boxes j allocated to store i. According to the equation (1), when there is a demand for each size of the store, the present invention derives the sort box quantity and the quantity that minimizes the difference from the demand.On the other hand, for example, in the case of using a sort box in which one size and one quantity are accommodated, it is the same as the individual package, and the use of such a classification box can satisfy the demand of all stores, It is the same. Thus, according to the present invention, when deriving the classification box type and quantity, the following items can be set in advance. That is, the present invention sets the minimum number of classification boxes distributed to each store, the maximum number of classification boxes distributed to each store, the maximum value of the configuration of the classification box, and the maximum value of the number of classification boxes. This setting will be described in more detail as follows.
When deriving the types and the quantities of the classification boxes through Equation (1), the minimum quantity of the classification boxes distributed to each store can be defined according to the following equation (2).
For example, in Equation (2), if the minimum value is 1, the minimum number of classification boxes distributed to each store is one.
Also, when deriving the types and the quantities of the classification boxes through Equation (1), the maximum quantity of the classification boxes distributed to each store can be defined according to the following Equation (3).
For example, in Equation (3), if the maximum value is 3, the maximum number of classification boxes distributed to each store is three.
Also, when deriving the types and the quantities of the classification boxes through Equation (1), the maximum value of the configuration of the classification box can be defined by the following Equation (4).
In Equation (4)
Represents 1 if the classification box j is used, and 0 otherwise.For example, if the max value is 6, the maximum value of the configuration of the classification box is six. That is, there are six classification boxes in total.
Also, when deriving the types and the quantities of the classified box through Equation (1), the maximum value of the quantity of the classified box can be defined by the following Equation (5).
For example, if the max value is 300, the maximum value of the number of classification boxes becomes 300.
In addition, when deriving the types and quantities of classification boxes, it is possible to limit the number of stores for which classification boxes are to be provided, the maximum number of items that can be stored in one classification box, and the minimum number of items to be stored in one classification box have.
In summary, when deriving the type and quantity of classification boxes using Equation (1), the minimum quantity of classification boxes distributed to each store, the maximum quantity of classification boxes distributed to each store, the maximum value of the configuration of classification boxes, The maximum number of items in the classification box, the number of stores for which a classification box should be provided, the maximum number of items that can be stored in one classification box, and the minimum quantity of products to be stored in one classification box, Can be derived.
Hereinafter, configurations of the present invention for distributing a product using the classification box as described above will be described. First, a system for distributing goods according to an embodiment of the present invention will be described. 5 and 6 are views for explaining a goods distribution system according to an embodiment of the present invention.
5 and 6, the goods distribution system according to the embodiment of the present invention is for distributing goods to each store using a classification box. The goods distribution system includes a
The
Basically, the
The
The
The
Next, the configuration of the
7, the
The
The
The
The
The
The
Next, a method of distributing a product based on a classification box of a goods distribution system according to an embodiment of the present invention will be described. 8 is a flowchart for explaining a method for distributing goods based on a classification box of a goods distribution system according to an embodiment of the present invention. In FIG. 8, it is assumed that the
Referring to FIG. 8, the
In step S120, the
Then, the
At this time, the
We have discussed product distribution system. Then, the product distribution method based on the classification box will be described in detail by the
Referring to FIG. 9, the
Next, the
Subsequently, the
The
In step S260, the
Meanwhile, the method for distributing goods based on the classification box according to the above-described embodiment of the present invention may be implemented in a form of a program readable by various computer means and recorded in a computer-readable recording medium. Here, the recording medium may include program commands, data files, data structures, and the like, alone or in combination. Program instructions to be recorded on a recording medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. For example, the recording medium may be a magnetic medium such as a hard disk, a floppy disk and a magnetic tape, an optical medium such as a CD-ROM or a DVD, a magneto-optical medium such as a floppy disk magneto-optical media) and ROMs, RAMs, flash memory, and the like. Examples of program instructions may include machine language wires such as those produced by a compiler, as well as high-level language wires that may be executed by a computer using an interpreter or the like. Such a hardware device may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.
According to the present invention, the types and quantity of the classification boxes provided to each store are determined according to the demand forecast, and the products produced in the factory are packaged and shipped using the determined types. Accordingly, the present invention does not require additional work of repackaging in the warehouse. Therefore, logistics costs can be saved. Moreover, because the distribution of goods through demand forecasting can not only reduce opportunity loss due to inadequate demand, but also reduce the loss of management overhead costs.
While the present invention has been described with reference to several preferred embodiments, these embodiments are illustrative and not restrictive. It will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit of the invention and the scope of the appended claims.
100: management server 110:
120: input unit 130: display unit
140: storage unit 150: control unit
151: Demand Forecasting Module 153: Box Configuration Module
155: distribution processing module 200: factory terminal
300: warehouse terminal 400: store terminal
Claims (11)
A plurality of kinds of classification boxes having a configuration in which at least one of sizes of a plurality of commodities accommodated and quantities per size is different from other boxes while accommodating a plurality of commodities having one or more than two types of sizes in one box, When distributing a product by using it,
And a box configuration module for deriving a type and a quantity of the classification box in which a difference between the quantity of each product and a quantity of the product according to the predicted demand of each of the plurality of stores is minimized Device.
The box configuration module
The type and quantity of the classification box are calculated using the following equation,
N is the number of stores,
S is the number of sizes,
M is the maximum number of classification box configurable combinations,
I is the index of the store,
J is the index of the classification box,
K is an index of size,
remind Is the demand for size k of store i,
remind Is the number of the size k of the classification box j,
remind Is the number of classification boxes (j) distributed to the store (i).
The box configuration module
A minimum quantity of the sort box distributed to each of the stores,
A maximum number of sorting boxes distributed to each of the stores,
The maximum value of the kind of the classification box and
Limiting at least one of the maximum values of the quantities of the classification box
The type of the classification box and the quantity of the classification box are calculated.
An interface unit for communication; And
And a distribution processing module for transmitting to the factory terminal through the interface unit the kind and quantity of the classification boxes necessary for the entire store so that the products produced at the factory are packed in accordance with the kind and quantity of classification boxes required for the entire store Apparatus for distributing a product as a feature.
An interface unit for communication; And
And a distribution processing module for transmitting the type and quantity of the classification box corresponding to the demand of each store to the warehouse terminal through the interface unit so that the goods are distributed according to the demand of each store. Device.
Predicting a demand for each of a plurality of stores, which is a quantity per size of the merchandise; And
A plurality of kinds of classification boxes having a configuration in which at least one of sizes of a plurality of commodities accommodated and quantities per size is different from other boxes while accommodating a plurality of commodities having one or more than two types of sizes in one box, When distributing a product by using it,
And deriving a type and a quantity of the classification box in which a difference between the quantity of the product and the quantity of the product according to the predicted demand of each of the plurality of stores is minimized.
The calculating step
The type and quantity of the classification box are calculated using the following equation,
N is the number of stores,
S is the number of sizes,
M is the maximum number of classification box configurable combinations,
I is the index of the store,
J is the index of the classification box,
K is an index of size,
remind Is the demand for size k of store i,
remind Is the number of the size k of the classification box j,
remind Is the number of classification boxes (j) distributed to the store (i).
The calculating step
A minimum quantity of the sort box distributed to each of the stores,
A maximum number of sorting boxes distributed to each of the stores,
The maximum value of the kind of the classification box and
Limiting at least one of the maximum values of the quantities of the classification box
The type of the classification box and the quantity of the classification box are calculated.
After the step of deriving the kind and quantity of the classification box,
And transmitting to the factory terminal the kind and quantity of the classification box necessary for the entire store so that the product produced at the factory is packed according to the kind and quantity of the classification box required for the entire store. Lt; / RTI >
After the step of deriving the kind and quantity of the classification box,
And transmitting to the warehouse terminal the type and quantity of the sort box corresponding to the demand of each store so that the goods are distributed according to the demand of each store.
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