KR20230049991A - A method and a device for real-time settlement of storage cost for fulfillment services - Google Patents

Abstract

According to an embodiment of the present invention, a service providing device comprises: a registration unit registering product information received from a seller terminal; a management unit managing loading variable information for products included in the product information; an input unit inputting purchase information received from a purchaser terminal; a packaging analysis unit matching shipping packaging information calculated according to a joint packaging optimization algorithm which optimizes a surface area and volume of the products when jointly packaged, using the loading variable information based on the purchase information, to the purchase information; a storage unit volume calculation unit calculating a storage unit volume of stored products corresponding to a warehouse center terminal, based on the shipping packaging information; and a storage cost settlement processing unit adding up the storage unit volume over a preset period of time and settling storage costs corresponding to the added storage unit volume. Accordingly, the storage costs can be calculated and settled periodically or in real time.

Description

A method and a device for real-time settlement of storage cost for fulfillment services

The present invention relates to a service providing device and an operation method thereof. More specifically, the present invention relates to a storage cost settlement optimization method and apparatus for a fulfillment service.

Electronic commerce, expressed as e-commerce, means a transaction in which goods and services are bought and sold in real time using the Internet through a virtual market opened on-line. This is rapidly spreading through the increase in Internet users and the use of smartphones based on the development of ICT technology.

In recent years, the use of e-commerce, which is a non-face-to-face type of product purchase method that is not limited by time and space, is explosively increasing as social environmental variables toward non-face-to-face life have occurred.

In addition, through e-commerce, time constraints on sales are removed for sellers, and efficiency can be improved for buyers to reduce the trouble of visiting offline stores and searching for product information. The packaging method of purchased products shipped to buyers through e-commerce maintains the quality and value of the products, reduces the work and costs of sellers and warehouse owners, and can evaluate the efficiency of fulfillment services that act as professional logistics services. can be considered as an important factor in

In order to manage the packaging of purchased products through e-commerce, a 'packaging management method for delivery products' is disclosed in Korean Patent Publication No. 10-2005-0008925. In the published patent, the present invention is a method for jointly packaging and shipping products to be delivered to the same destination, determining whether two or more products having the same destination information are ordered, and if there are two or more products having the same destination information, the product A packaging management method that determines whether two or more products with the same delivery address information can be packaged into one package by checking each expected delivery date to determine whether the expected delivery date is the same, and determining whether or not to combine multiple products to be combined and delivered. The same shipping information barcode is assigned to the same, and a shipping information label to be attached to the packaging container including the shipping information barcode is printed, the barcode of the shipping information label attached to the packaging container of the product is read with a barcode reader, and a means for checking the packaging item is read. Through this, the type and quantity of the product to be packed are displayed, and the product information barcode attached to the product to be packed is read, and the read product is determined to match the type and quantity of the product to be packed displayed on the packing item confirmation means. A packing operation monitoring method is described in which the result of the determination is displayed through the packing item checking unit and, when it is determined that the packing scheduled item and the read packaged product completely match, an invoice to be attached to the package of the product is printed.

However, in this prior art, it is determined whether combined packaging is possible by referring to the estimated delivery date for one or more products purchased by the buyer. However, in the case of proceeding through the joint packaging decision, the total volume is calculated by simply summing up the packaging specifications of individual products. Since a method of selecting a combined packaging container based on one standard is applied, excessive packaging of the combined packaging container may occur.

In addition, in the fulfillment service, logistics costs are particularly important for storage costs. As warehouse management systems can be operated in various workplaces with the development of fulfillment services, storage costs in the form of rent are generated in each warehouse center, which is calculated based on the storage area and storage period of the warehouse center.

However, the current storage cost calculation process is calculated based on the rent of a unit area of 110 cm x 110 cm called a pallet regardless of the logistics volume of the loaded product, which is different from the actual storage volume of the product. This is because, regardless of how high product boxes are stacked in the warehouse center, storage costs for each period are incurred even for upper spaces not covered by products.

Therefore, in order to support a fulfillment service that is diversified in a smaller scale, excessive warehouse operation is occurring that is not desired by operators who want to operate a small warehouse center in various ways.

Republic of Korea Patent Publication No. 10-2005-0008925 (published on January 24, 2005)

The present invention has been made to solve the above problems, and in calculating the storage cost for the warehouse center of the fulfillment service that provides comprehensive logistics services according to the activation of the e-commerce industry, the storage unit volume of the stored product Its purpose is to provide a storage cost settlement method and device for a fulfillment service that can calculate and settle storage costs that match the actual stored logistics volume periodically or in real time.

In addition, the present invention has been devised to solve the above problems, and in calculating the storage cost for the warehouse center of the fulfillment service that provides comprehensive logistics services according to the activation of the e-commerce industry, the storage of stored products An object of the present invention is to provide a storage cost settlement method and device for a fulfillment service that can periodically or in real time calculate and settle storage costs that match the actual stored logistics volume as unit volume is set.

An apparatus according to an embodiment of the present invention for solving the above problems is a service providing apparatus, comprising: a registration unit registering product information received from a seller terminal; a management unit that manages load variable information for products included in the product information; an input unit for inputting purchase information received from a purchaser terminal; a packaging analysis unit that matches delivery packaging information calculated according to a combined packaging optimization algorithm for optimizing a surface area and a volume at the time of joint packaging with the purchase information using the loading variable information based on the purchase information; a storage unit volume calculator configured to calculate a storage unit volume of a stored product corresponding to the warehouse center terminal based on the delivery packaging information; and a storage cost settlement processor configured to cumulatively add up the volumes of the storage units for a predetermined period of time and to settle storage costs corresponding to the summed volumes of the storage units.

In addition, a method according to an embodiment of the present invention for solving the above problems is a method of operating a service providing apparatus, comprising: registering product information received from a seller terminal; Managing load variable information for products included in the product information; inputting purchase information received from a purchaser terminal; matching delivery and packaging information calculated according to a combined packaging optimization algorithm for optimizing a surface area and a volume at the time of product combined packaging, using the loading variable information based on the purchase information, with the purchase information; Calculating a storage unit volume of storage products corresponding to the warehouse center terminal based on the delivery packaging information; and cumulatively summing the volume of the storage unit for a predetermined period of time, and calculating a storage cost corresponding to the summed volume of the unit of storage.

On the other hand, the method according to the embodiment of the present invention for solving the above problems may be implemented as a computer program stored in a computer readable recording medium for executing the method on a computer.

According to an embodiment of the present invention, based on the pre-matched shipping packaging information, the storage unit volume of the storage product corresponding to the warehouse center terminal is calculated, and the storage unit volume is accumulated and summed for a predetermined period of time, and the sum is calculated. The storage cost corresponding to the storage unit volume can be settled.

Accordingly, according to an embodiment of the present invention, in calculating the storage cost for the warehouse center of the fulfillment service that provides comprehensive logistics services in accordance with the activation of the e-commerce industry, the storage unit volume of the stored product can be set, In this case, the storage cost corresponding to the actual stored logistics volume can be calculated periodically or in real time and settled.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.
2 is a block diagram illustrating a service providing apparatus according to an embodiment of the present invention in more detail.
3 is a block diagram illustrating a pavement analysis unit of the service providing device according to an embodiment of the present invention in more detail.
4 is an exemplary diagram for explaining a process of obtaining delivery packaging information through a combined packaging optimization algorithm according to an embodiment of the present invention.
5 is a flowchart for explaining the operation of the service providing apparatus according to an embodiment of the present invention in more detail.
6 is an exemplary diagram for explaining delivery packaging information provided through a service providing device according to an embodiment of the present invention.
7 to 8 are exemplary diagrams for explaining a cost settlement process provided through a service providing apparatus according to an embodiment of the present invention.

The following merely illustrates the principles of the present invention. Therefore, those skilled in the art can invent various devices that embody the principles of the present invention and fall within the concept and scope of the present invention, even though not explicitly described or shown herein. In addition, all conditional terms and embodiments listed in this specification are, in principle, expressly intended only for the purpose of understanding the concept of the present invention, and should be understood not to be limited to such specifically listed embodiments and conditions. do.

In addition, it should be understood that all detailed descriptions reciting specific embodiments, as well as principles, aspects and embodiments of the present invention, are intended to encompass structural and functional equivalents of these matters. In addition, it should be understood that such equivalents include not only currently known equivalents but also equivalents developed in the future, that is, all devices invented to perform the same function regardless of structure.

Thus, for example, the block diagrams herein should be understood to represent conceptual views of illustrative circuits embodying the principles of the present invention. Similarly, all flowcharts, state transition diagrams, pseudo code, etc., are meant to be tangibly represented on computer readable media and represent various processes performed by a computer or processor, whether or not the computer or processor is explicitly depicted. It should be.

In addition, the explicit use of terms presented as processor, control, or similar concepts should not be construed as exclusively citing hardware capable of executing software, and without limitation, digital signal processor (DSP) hardware, ROM for storing software (ROM), random access memory (RAM) and non-volatile memory. Other hardware for the governor's use may also be included.

Terms used in this application are only used to describe specific embodiments, and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, the terms "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

The above objects, features and advantages will become more apparent through the following detailed description in conjunction with the accompanying drawings, and accordingly, those skilled in the art to which the present invention belongs can easily implement the technical idea of the present invention. There will be. In addition, in carrying out the present invention, if it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, the detailed description will be omitted.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a conceptual diagram schematically illustrating an entire system according to an embodiment of the present invention.

Referring to FIG. 1 , a system according to an embodiment of the present invention may include a service providing device 100, a seller terminal 200, a buyer terminal 300, a warehouse center terminal 400, and a payment server 500. there is.

More specifically, the service providing device 100, the seller terminal 200, the buyer terminal 300, the warehouse center terminal 400, and the payment server 500 are wired and wireless through a connection with a public network. One or more are connected to transmit and receive data. The public network is a communication network established and managed by the state or telecommunications infrastructure operators, and provides connection services so that an unspecified number of ordinary people can access other communication networks or the Internet, including generally telephone networks, data networks, CATV networks, and mobile communication networks. . In the present invention, the public network is replaced with a network.

In addition, the service providing device 100 includes each communication module for communicating with the seller terminal 200, the buyer terminal 300, the warehouse center terminal 400, and the payment server 500 with a protocol corresponding to each communication network. can include

The service providing apparatus 100 may provide an e-commerce platform in which a seller who is an online seller and a warehouse owner who owns a warehouse center are networked. The service providing device 100 provides omnidirectional logistics services such as warehousing and storage of goods, shipment and delivery of buyer orders, returns, settlement, and inventory management so that sellers can increase the concentration of product manufacturing or sourcing work and reduce costs. We can provide fulfillment services on your behalf. In addition, the service providing apparatus 100 may connect a seller to a warehouse owner so as to maximize utilization of the warehouse center through securing goods.

In this way, the service providing device 100 can provide a professional logistics service that can reduce logistics work and related costs to the seller and the warehouse owner, and smoothly provide the purchase product to the buyer based on this.

Here, the service providing device 100 may provide a packaging service for protecting the value and condition of a product during transportation, storage, handling, etc. performed for services such as product release and delivery according to purchase order information. there is. In particular, the service providing device 100 may provide a packaging or packing optimization service capable of efficiently using packaging resources and reducing costs through the basic function of the packaging service to protect the value and condition of products. . The service providing apparatus 100 may recommend an optimal box size for unit packaging or combined packaging for one or more purchase products ordered by a specific purchaser. In addition, the service providing device 100 may process a combined delivery order through combined packaging with respect to the purchase order of the buyer.

In addition, the service providing device 100 may provide delivery packaging information to the warehouse center terminal 400 that provides a fulfillment service for unit packaging. Based on the delivery packaging information, the warehouse center terminal A storage unit volume of the stored product corresponding to is calculated, the storage unit volume is cumulatively summed over a predetermined period of time, and a storage cost corresponding to the summed storage unit volume may be settled. The settled storage cost may be requested for payment approval to the payment server 500 together with the payment method information of the warehouse center terminal 400, and the payment server 500 performs payment processing for the payment approval request, and returns the result. It can be transmitted to the warehouse center terminal 400 and the service providing device 100 .

Accordingly, in calculating the storage cost for the warehouse center of the fulfillment service, the service providing device 100 enables the storage unit volume of the stored product to be set, and the storage cost coincident with the actual stored logistics volume is periodically or It can be calculated and settled in real time, which prevents unnecessary or excessive storage costs from occurring and enables efficient storage cost settlement in an optimized form.

In addition, the service providing device 100 includes the seller terminal 200, the buyer terminal 300, the warehouse center terminal 400, and the payment server 500 to provide a packing optimization service for purchased products and a storage cost settlement service. ) and can be connected through a wired/wireless network. Devices or terminals connected to the network may communicate with each other through a preset network channel.

Here, the network is a Local Area Network (LAN), a Wide Area Network (WAN), a Value Added Network (VAN), a Personal Area Network (PAN), a mobile communication network ( It can be implemented in all types of wired/wireless networks such as a mobile radio communication network) or a satellite communication network.

The service providing device 100 may be implemented as a server device that performs overall functions and roles as a web server, database, web application server, and the like.

In addition, the seller terminal 200, the buyer terminal 300, and the warehouse center terminal 400 described herein include a personal computer (PC), a laptop computer, a digital broadcasting terminal, a personal digital assistant (PDA), and a PMP. (Portable Multimedia Player), etc. may be included, but the present invention is not limited thereto, and other various devices capable of user input and information display may be included.

Additionally, the seller terminal 200, the buyer terminal 300, and the warehouse center terminal 400 are not limited to the device classification and may include a server device that can enhance and expand data processing, storage, and management functions. .

2 is a block diagram showing a service providing device according to an embodiment of the present invention in more detail, and FIG. 3 is a block diagram showing a pavement analysis unit of the service providing device according to an embodiment of the present invention in more detail.

2 and 3, the service providing device 100 according to an embodiment of the present invention includes a control unit 110, a registration unit 120, a management unit 130, an input unit 140, a packaging analyzer 150, It may include a delivery processing unit 160 , a communication unit 170 , a storage unit volume calculation unit 180 and a storage cost settlement processing unit 190 . The package analysis unit 150 may include a product type analysis unit 151 , a subsidiary material combination analysis unit 152 , a product volume analysis unit 153 , and a load build analysis unit 154 . Additionally, the load build analysis unit 154 may include a load order determination module 1541 and a three-dimensional (3D) shape build analysis module 1542 .

The control unit 110 controls the overall operation of each module to provide operation processing according to the service providing method according to an embodiment of the present invention, and may include one or more microprocessors for this purpose.

The registration unit 120 may register product information received from the seller terminal 200 . The product information may include detailed information on a product manufactured by a seller or secured through sourcing. Specifically, the product information may include a product name, product image, number of holdings, item classification information, capacity or weight, size information, storage method, handling method, volume calculation information of a unit product, and the like.

The volume calculation information of the product may include length information about the width, length, and height of the prototype of the product. In addition, the volume calculation information of the product may be length information about the width, length, and height measured based on a single package state to protect the product and maintain value.

The management unit 130 may manage loading variable information for products included in the product information. The management unit 130 may store and manage the loading variable information for each unit product. The loading variable information may include capacity, weight, volume, volume calculation information, hardness, damage safety, etc. that can be measured for each unit product. The loading variable information may be used to determine the loading order of products purchased by the buyer and the arrangement of products in the loading layer.

The load variable information may be quantitatively corresponded to a measured value or an evaluation value so that it can be compared with a relative value. For example, weight can be expressed as a mass value that can be measured in units of kg, g, mg, and the like. In addition, the breakage safety level can evaluate the degree of risk that the quality and value of products provided in the form of food, glass, paper, etc. may be deformed by external pressure or impact, thereby damaging the quality and value. The breakage safety level is a value obtained by evaluating the level of safety against the breakage risk, and evaluation information may be numerically matched such as '3' for safety, '2' for normal, and '1' for risk. In addition, the volume is a value obtained by measuring the size occupying space and may be obtained in units such as mm 3 , cm 3 , m 3 , and the like. Additionally, evaluation information may be matched numerically, such as '3' for hardness, '2' for normal, and '1' for softness. The evaluation information such as breakage safety and hardness can be evaluated using information in which the degree of deformation can be predicted according to external pressure and impact according to product category information, product provision type, product manufacturing material, product item type, etc. in the product information. there is.

The input unit 140 may input purchase information received from the purchaser terminal 300 . The input unit 140 may include purchase information such as product selection information and delivery request information to be purchased through the purchaser terminal 300 . The input unit 140 refers to a unique identifier such as a member ID, an order request date, and a delivery request address in the purchase information, and integrates processing so that combined packaging or combined delivery can be performed according to the selection information of the purchaser terminal 300. can do.

The packaging analyzer 150 may match delivery packaging information according to a combined packaging optimization algorithm using the product information or the loading variable information based on the purchase information. In addition, the packaging analyzer 150 may analyze the three-dimensional packaging method of the purchase product included in the purchase information using the product information and the loading variable information, and output delivery packaging information as a result of the analysis. .

In addition, the packaging analyzer 150 may recommend delivery packaging information through an analysis of a three-dimensional packaging method of a purchased product. The pavement analysis unit 150 may present one or more pavement method models through the three-dimensional pavement method.

To this end, the packaging analysis unit 150 may recommend recommended delivery packaging information through criteria that achieve efficient use of packaging materials for packaging in the outermost form or minimization of hollow volume values formed inside, among the packaging method models. can The delivery packaging information may include volume information of a packaging container or box forming the outermost shape. The delivery packaging information may include a list of packed purchased products and information such as volume information and quantity of each purchased product.

The packaging analyzer 150 may use product information for each product for one or more purchased products included in the purchase information. In addition, the packaging analysis unit 150 may obtain the loading variable information corresponding to the purchased product. Through this, the package analysis unit 150 may acquire objectification information by modeling the three-dimensional shape of the purchased product.

The pavement analyzer 150 may analyze a pavement method in which the outermost pavement volume can be a minimum value when combined pavement by using the objectization information. The packaging analysis unit 150 may determine an optimized combined packaging method through analysis of the packaging method and recommend the packaging method using the delivery packaging information. The delivery packaging information may include packaging box size information, packaging box volume information, space efficiency information, three-dimensional shape loading information, and the like.

The combined packaging optimization algorithm extracts a loading method by applying product arrangement order, product arrangement composition, product arrangement position, product arrangement shape information, etc. according to preset loading criteria, and may calculate a recommended packing box volume. The combined packaging optimization algorithm may recommend or match an optimized packaging box that may substantially enable combined packaging of ordered products. To this end, the combined packaging optimization algorithm proposes a loading method that minimizes the total volume or surface area when various ordered products are given, and can calculate the packaging box specification that can have the highest space efficiency. The loading criterion may determine the lowest loaded product by using information on the maximum bottom surface area of the product. In addition, the loading criterion may be set to minimize the total surface area of stacked products and the volume of the hexahedron box that can contain the stacked products.

4 is an exemplary diagram for explaining a process of obtaining delivery packaging information through a combined packaging optimization algorithm according to an embodiment of the present invention.

According to an embodiment of the present invention, the combined packaging optimization algorithm may be specified as follows. The combined packaging optimization algorithm may proceed with a process of receiving information about purchased products and classifying them prior to starting arrangement when combined packaging is required for ordered products. The combined packaging optimization algorithm analyzes the shipment order number and the volume of the corresponding product through the database of stored or stored products, and if the weight is listed, it is classified separately. The classified products can be stored in the order of length, width, height, name, etc., and are then used as index values when searching for corresponding values in the combined packaging optimization algorithm. The combined packaging optimization algorithm can prioritize which products to place first among products with weight and products without weight. Through this, the combined packaging optimization algorithm can handle the loading process that can prevent other products from being damaged due to the weight of the product. The product can recognize the maximum value of the surface area of the area based on xy, yz, and zx as the maximum bottom surface through classification in three-dimensional coordinates. In addition, the combined packaging optimization algorithm may preferentially place a corresponding product list when a product having the largest bottom surface area among products has a weight. Then, when the combined packaging optimization algorithm determines the list of products loaded at the bottom, the arrangement order can be reviewed even within the product list. The combined packaging optimization algorithm determines the arrangement order in the order of the maximum bottom surface area, and when two products have the same maximum bottom surface area, the bulky product can be placed first. In the case of the first product, since there are no products already placed, a layout composition can be obtained immediately. The combined packaging optimization algorithm directs the corresponding bottom of a product with a large bottom surface area to the floor, and searches for a way to minimize the blank space in the x-axis among the two compositions derived through this.

Referring to FIG. 4A, the combined packaging optimization algorithm can extract a certain number of different compositions that one product can have when the length and volume of a specific product are given as width, length, and height values, and these three values are different from each other. there is. The combined packaging optimization algorithm considers all possible compositions of a product and can output the shape for each case.

At this time, the combined packaging optimization algorithm may extract a numerical value that can be a standard in the process of arranging products. The combined packaging optimization algorithm can be obtained using the surface area, which can be calculated using the length volume as a reference value, and the coordinates of the eight vertices of the product, as well as the lower left point of the product and the length volume. The combined packaging optimization algorithm reviews the criteria for product placement first as an arrangement that reduces the volume of the final box, and can also minimize the total surface area caused by the combination of additionally placed products. Since the total surface area decreases as the adjacent area between products increases, a function can be created to obtain this value. To this end, the combined packaging optimization algorithm extracts the lower left point and the length volume of the two products, and then determines the adjacent plane using the x and y values. Here, if the value of x or y is 0, it corresponds to the horizontal axis, 1 to the vertical axis, and 2 to the height axis. If the input values of the function are x = 0 and y = 2, it means that the plane formed by the horizontal and height axes is considered, which refers to the front side in the first function and the back side in the second function. When a plane to be compared is found through a plurality of conditional statements, the combined packaging optimization algorithm may store the lower left and upper right coordinates of the corresponding base of the placement candidate, respectively. Next, it is possible to analyze whether there is an area where the corresponding base overlaps with the already placed product, and find out how much the area is.

Referring to FIG. 4B , the combined packaging optimization algorithm may extract a preset number of cases (eg, 8) as different combinations that may appear when two products are adjacent to each other. In addition, the combined packaging optimization algorithm considers a case in which one product is partially included in another product and may process a process of obtaining the horizontal length and the vertical length, respectively. The combined packaging optimization algorithm can obtain the value of the adjacent area by multiplying the final horizontal and vertical lengths.

The combined packaging optimization algorithm can perform collision detection because a product's placement candidate must not overlap with other products that are already placed. Collision compares two products on the horizontal axis, vertical axis, and height axis, and if they overlap three times in two dimensions, it can be said that two products overlap each other. Through this, the combined packaging optimization algorithm can determine that the two products do not collide if it is confirmed that even one does not overlap.

Referring to FIG. 4C, the combined packaging optimization algorithm is performed for each of the three spaces (first space, second space, and third space example) that can be placed after the arrangement of the virtual hexahedron (b) of the product (a). The location coordinates of the lower left point of can be designated as empty space coordinates or Empty Space (ES) coordinates. In the combined packaging optimization algorithm, the empty space coordinates are always the same after the first product is placed, but the empty space cannot be viewed simply because the model formed by the placed products from the second product onwards becomes complicated. Therefore, since the combined packaging optimization algorithm needs to update the empty space coordinates after the arrangement of products is finished, a function that performs the corresponding operation can be applied. The front space, right space, and bottom left point of the placed product are generally added to the empty space coordinates, but if the coordinates are already included in the empty space coordinates list, they are excluded. Also, the empty space coordinates used when the product was placed are no longer available, so they are deleted from the list. The combined packaging optimization algorithm is the first criterion for determining whether the arranged products are efficiently arranged, and if the box is used in the current state, the length and volume of the box can be obtained. The combined packaging optimization algorithm may include a function that first receives the foremost coordinates of already placed products, determines the length and volume of the box, and checks whether the position of the placement candidate product changes the volume of the box. The combined packaging optimization algorithm may include a process of recommending a box type by using the sum of the three sides of the length and volume of additional boxes, which are omitted since there is no batch candidate product. Finally, the combined packaging optimization algorithm can obtain the volume of each product to check the efficiency between the placed product and the box. The combined packaging optimization algorithm can calculate the percentage by dividing the volume of the box given as an input after performing the process of adding all the volumes of the placed products. The total surface area may be calculated by subtracting the value of the adjacent surface area from the total surface area of the already placed product plus the surface area of the newly placed product.

The package analysis unit 150 may include a product type analysis unit 151 .

The product type analyzer 151 may store product classification information obtained through product type classification for one or more products corresponding to the purchase information.

The product type analyzer 151 may set a predetermined criterion for classifying the product type. The product type analyzer 151 may subdivide types based on product categories. For example, the product category may be divided into food, fashion, beauty, kitchen products, cleaning products, furniture, baby products, leisure products, home appliances, and hobby products. The product type analyzer 151 may classify products based on physical or chemical standards capable of preventing product deterioration, transformation, or damage. To this end, the product type analysis unit 151 may classify products into products that require refrigeration, products that require refrigeration, products that require handling, and the like, and store them as product classification information. The product type analysis unit 151 manages the product type classification information according to the physical or chemical properties of the product as product classification information, so that it can be used as information for determining the packaging method to maintain the value and quality of the product. do.

The pavement analysis unit 150 may further include a subsidiary material combination analysis unit 152 .

The auxiliary material combination analyzer 152 analyzes surface area information, volume information, weight information, etc. including the packaging auxiliary material in response to the packaging auxiliary material maintaining the quality of the product according to the product classification information, and includes them in the loading variable information. can do.

In addition, the subsidiary material combination analysis unit 152 analyzes the volume information of the packaging subsidiary material corresponding to the packaging subsidiary material that maintains the quality and value of the product according to the product classification information, and converts the volume information of the packaging subsidiary material into the loading variable. information can be included. The subsidiary material combination analysis unit 152 may select an ice pack, an air cap, a cushioning material, etc. as the packaging subsidiary material according to the physical or chemical properties of the purchased product to prevent deterioration, deformation or damage of the product. The subsidiary material combination analysis unit 152 may calculate an input amount of a packaging subsidiary material corresponding to a product and obtain volume information of the packaging subsidiary material for the input amount. Through this, the subsidiary material combination analysis unit 152 may calculate the volume of the packaging subsidiary material coupled to the purchased product and include the volume information of the packaging subsidiary material in the loading variable information for each product. In addition, the subsidiary material combination analysis unit 152 may determine the input of a bulkhead or an additional external packaging subsidiary material for a product that needs to be classified according to the characteristics of the packaging subsidiary material added to the purchased product. For example, when the purchase information includes frozen food and clothes, it is necessary to separate the clothes from being damaged by dry ice or ice packs to maintain the quality of the frozen food. At this time, the auxiliary material combination analysis unit 152 may additionally input and separate external packaging auxiliary materials, which may include packaging auxiliary materials for frozen food and ice packs or dry ice.

The package analysis unit 150 may further include a product volume analysis unit 153 .

The product volume analyzer 153 corresponds to a packaging method for each product group classified into a specific item group in the purchased product based on the product classification information and the loading variable information, and sets at least one value determined by the corresponding packaging method. The tea product packaging volume information may be acquired. The product volume analysis unit 153 may check whether the purchased product is individually packaged or not, and calculate volume information of the primary product packaged individually or bundled. In addition, the product volume analyzer 153 may determine whether to add a hexahedron-shaped package according to the physical or chemical properties of the individually wrapped purchased product, and calculate the volume information of the primary product package.

The pavement analysis unit 150 may further include a load build analysis unit 154 .

The load build analyzer 154 may determine a load method and secondary product pack volume information through analysis of a load order or a load arrangement based on the load variable information and the primary product pack volume information.

The load build analysis unit 154 may include a load order determination module 1541 . The loading order determination module 1541 acquires the loading order information by reflecting a weight (WEIGHT) corresponding to a pre-set importance index with respect to information extracted from the loading variable information such as weight, hardness, volume, and breakage safety. can do.

The importance indicator may be set among loading variable information that should be considered to maintain product quality and value. The importance index may be set by selecting one or more of weight, hardness, volume, breakage safety, and the like.

The loading order determining module 1541 may assign a weight to the importance index. The weight may be assigned to one or more values by varying the designation value so as to differentiate the importance of loading variable information designated as an importance index.

When the loading order determining module 1541 designates the importance index as one loading variable information, the loading order may be determined according to the single loading variable information. The loading order determining module 1541 may determine the loading order by analyzing integer values among purchased products using the single loading variable information and position the loading order in the packaging container.

The loading order may be relatively located at the bottom of the packaging container as the order of execution is given priority. In addition, the loading order determining module 1541 may preset whether to prioritize the loading order based on an ascending order or a descending order for integer values calculated as loading variable information.

According to an embodiment of the present invention, the loading order determination module 1541 prioritizes importance indicators in the order of weight, risk of breakage, volume, and hardness in loading variable information such as weight, hardness, volume, and breakage safety. can be set At this time, the loading order determination module 1541 assigns the weight, breakage safety, volume, and hardness, which are the importance indicators, to a default value of '1' and assigns weights to each variable as '2.5', '2', and '1.5'. , can be specified as '1'. Accordingly, the loading order determination module 1541 obtains a calculated value in which the weight is '2.5', the damage risk is '2', the volume is '1.5', and the hardness is '1'. can do. Accordingly, the loading order determining module 1541 may determine the loading order according to the mass value measured or confirmed for each product with respect to the weight having the highest weight. Alternatively, the loading order determination module 1541 may determine the loading order according to values compared through summation by reflecting the weight to loading variable information of each product.

For example, when the loading variable information is weight, the loading order may be given priority as the measured or acquired mass is larger. This can apply pressure to the bottom of a product with a large mass, and thereby prevent an increase in the risk of deformation or breakage of other products located at the bottom. In addition, when the loading variable information is volume, the loading order may be given priority as the measured or acquired volume value increases. This can maximize space efficiency by allowing bulky products to occupy space in the first packaging container. In addition, when there is no information on the mass, the loading order may be determined based on the prediction that the weight may be relatively heavy as the volume value increases.

Here, when the loading order determining module 1541 extracts one or more of the importance indicators from the loading variable information, the loading order may be determined using only a specific indicator having the highest priority, and a value obtained by reflecting the weights of all indicators. The loading order can be determined by comparison through the summation of .

For example, the loading order determination module 1541 determines that the weight of the first purchased product is 1 kg, the breakage safety level is '3' corresponding to 'safe', the volume is 8 cm3, and the hardness is '1' corresponding to 'soft'. ', information of '2' corresponding to the weight of the second purchased product as 'normal', the damage safety level of 'normal', the volume of 6cm3, and '2' corresponding to hardness as 'normal' can be analyzed. The loading order determining module 1541 may determine a weight having the highest weight as the priority of the loading order. Accordingly, the loading order determining module 1541 may obtain loading order information for locating the second product having a weight of 2 kg at the bottom first in the loading order.

Additionally, the loading order determination module 1541 may add up and compare values calculated by multiplying information measured or acquired from each product by a weight in weight, breakage safety, volume, and hardness set as the importance index. Specifically, in the case of the first purchased product, the values calculated by reflecting weights on the importance index are '2.5' for weight, '6' for breakage safety, '12' for volume, '1' for hardness, and '1' for the sum value. 21.5'. In the case of the second purchased product, the values calculated by reflecting weights on the importance index are '5' for weight, '4' for breakage safety, '9' for volume, '2' for hardness, and '20' for total value. becomes Through this, the loading order determination module 1541 may obtain loading order information in which the loading order of the first purchased product is placed at the bottom first.

The load build analysis unit 154 may further include a load build analyzer module 1542 .

The load build analysis module 1542 may perform three-dimensional modeling of the shape of the primary packaging product group based on the primary product packaging volume information. The loading build analysis module 1542 may determine the loading arrangement according to a preset loading algorithm using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information.

The loading algorithm may be fitted so as to be filled in a hexahedral shape using the three-dimensional shape information. The loading algorithm may generate one or more hexahedral models that are finally filled in according to the optional arrangement of the fit.

The loading build analysis module 1542 selects a hexahedron model calculated as a value for which the volume value of the hollow formed inside is minimized among the hexahedron models generated using the loading algorithm, and uses the secondary product packaging volume information as the information. can decide

The load build analysis module 1542 may provide a build interface that visually displays the load type. The build interface provides a 360° rotation view so that the loading form of the three-dimensional shape information can be confirmed from various viewpoints.

In addition, the stack build analysis module 1542 allows a manager to directly control the arrangement of products or the structure of stacked layers of products by using one or more three-dimensional shape information. To this end, the loading build analysis module 1542 may provide a drag-and-drop function of the three-dimensional shape information within a specific space.

The load build analysis module 1542 may include and utilize a Maxrects (Maximal Rectangle) algorithm as the load algorithm. The Maxrects (Maximal Rectangle) algorithm, when the first rectangular object is initially placed in a two-dimensional space of a certain size, other than the area occupied by the first rectangular object, is applied to the remaining area in the overlapped area so as not to be fragmented. It can be expanded to be divided into additional loading areas. The Maxrects (Maximal Rectangle) algorithm arranges a second rectangle object, a third rectangle object, etc. that may be nested in the additional loading area to utilize the calculated area. The load build analysis module 1542 may utilize the Maxrects (Maximal Rectangle) algorithm by using horizontal, vertical, and height information, width, and volume that may be calculated from the three-dimensional shape information.

Here, the loading build analysis module 1542 may determine the loading type by fitting one or more three-dimensional shape information according to 3D coordinates using the loading algorithm. In addition, the loading build analysis module 1542 may determine lengths for the width, length, and height extended as the three-dimensional shapes are selectively fitted as the volume value of the outermost packed hexahedron.

The load build analysis module 1542 may provide logic for determining a load method. The load build analysis module 1542 may generate a hexahedron having a size including the volume of purchased products of various shapes. The hexahedron may be formed in a shape capable of minimizing a hollow formed therein. The loading build analysis module 1542 may position the first hexahedron having the highest priority in the loading order so as to contact the origin of the three-dimensional coordinates x, y, and z axes. The load build analysis module 1542 may divide the space using three edges of the hexahedron that are not in contact with the x, y, and z axes. At this time, the load build analysis module 1542 may utilize the Maxrects (Maximal Rectangle) algorithm. Thereafter, the loading build analysis module 1542 loads the second hexahedron so as to contact the first hexahedron, determines whether the divided space can include the second hexahedron, and builds the second hexahedron in an available space. can be located. After the second hexahedron is located, the load build analysis module 1542 re-divides the divided space using each corner of the second hexahedron. At this time, the load build analysis module 1542 may remove the invalid space. The invalid space may be divided into an area included in another space or an area having a negative height or width value. Through this, the load build analysis module 1542 may remove an invalid space and analyze whether the hexahedrons of all products to be combined and packaged may be included in the re-divided space. The load build analysis module 1542 may recognize an object in which the hexahedrons of products overlap each other as one object, and may determine a standard of a packaging hexahedron that fits the length of the longest side.

According to an embodiment of the present invention, the loading build analysis module 1542 has x, y, w (width), and h (height) as attributes to remove an invalid space when dividing an area in a specific area. Rectangular objects can be used. Specifically, the loading build analysis module 1542 defines r as a rectangular object, s as a space overlapping the rectangular object, and top, bottom, left, You can define the space of the right. The load build analysis module 1542 may sequentially match rt, rb, rl, and rr rectangular objects in the top, bottom, left, and right spaces. Through this, the load build analysis module 1542 may obtain rt, rb, rl, and rr information as follows. For example, rt is rt={x:s.x, y:s.y, w:s.w, h:r.y-s.y}, rb is rb={x:s.x, y:r.y+r.h, w:s.w, h :s.y+s.h-(r.y+r.h)}, rl is rl={x:s.x, y:s.y, w:r.x-s.x, h:s.h}, rr is rr={x:r.x +r.w, y:s.y, w:s.x+s.w-(r.x+r.w)}.

Meanwhile, the load build analysis unit 154 may perform a stability check when products are placed based on the load order and load method optimized by the load order determination module 1541 and the load build analysis module 1542. .

For example, the loading build analysis unit 154 may perform a stability check to prevent the product from falling off due to the relationship with the products below when the product is placed. An inspection process may be set in advance.

More specifically, the safety inspection process first checks whether batch products are only placed on the floor. This can be checked by checking that the stack height is 0, and if it is only placed on the floor, the stability check simply passes.

However, if the placement candidate product is not placed on the floor, the stability inspection process checks whether there is a product with other products piled on top of each of the already placed products, and sums up the areas of the confirmed products. . If the summed value is greater than a predetermined ratio (for example, 50%) of the base area of the three-dimensional shape information, the safety test may pass. This is because several products are concentrated at the bottom and can withstand the support of the top.

Meanwhile, the load build analysis unit 154 may determine whether the optimized loading order and loading method deviate from a preset basic range area, and if the optimized loading order and loading method deviate from the range, another loading order and loading method may be recalculated.

The delivery processing unit 160 may provide the purchase information and the delivery packaging information to the warehouse center terminal 400 . The delivery packaging information may include packaging box size information, packaging box volume information, space efficiency information, three-dimensional shape loading information, and the like. Through this, the delivery processing unit 160 may automatically pick and provide packaging materials that may include recommended packing box specifications for actual packaging of purchased products.

Further, the storage unit volume calculation unit 180 obtains delivery packaging information provided to the warehouse center terminal 400, and stores the storage product corresponding to the warehouse center terminal 400 based on the delivery packaging information. unit volume can be calculated.

For example, the storage unit volume calculation unit 180 may calculate the storage unit volume in a cube unit formed according to a preset unit length. In the above-described conventional method, the storage cost is calculated only in large pallet units of 110 cm x 110 cm based on area, and there is a problem in that the actual volume is not considered. Therefore, the storage unit volume calculation unit (180 ) allows the storage cost to be settled in real time based on the volume of the space actually consumed, using the cube-based storage unit volume.

However, the cube unit is an example, and the storage unit volume calculation unit 180 pre-sets a cubic unit such as a circle, a hexagon, a triangle, a pentagon, a cone, or a rectangular interpolation volume unit, and based on the set interpolation volume unit. Thus, it is possible to track the quantity of goods stored in the warehouse center in real time.

Also, the storage cost settlement processing unit 190 may cumulatively sum the storage unit volumes for a predetermined period of time, and settle storage costs corresponding to the summed storage unit volumes. Here, the predetermined period may be set in units of one day, one week, or one month, but is preferably set in units of one day for real-time processing.

For settlement processing, the storage cost settlement processing unit 190 obtains a preset storage unit cost corresponding to the cumulative summed up storage unit volume, and multiplies the storage unit cost by the accumulated storage unit volume corresponding to the accumulated summed up storage unit volume. Thus, the storage cost may be settled.

Further, the storage cost settlement processing unit 190 may transmit the storage unit volume information accumulated and summed up and payment request information including the storage cost to the warehouse center terminal 400, and the warehouse center terminal 400 may make payment. Payment approval request information according to the means input may be transmitted to the payment server 500 .

The storage cost settlement processing unit 190 may initialize the predetermined period after approval from the payment server 500 is completed.

Accordingly, assuming that a monthly storage fee of 30,000 won is generated regardless of the volume even if a box of products is stored for 5 days on a conventional pallet basis, the storage cost settlement processing unit 190 according to an embodiment of the present invention Since the storage unit volume of one box can be multiplied by 5 days and only the corresponding cost can be settled, the storage cost reduction effect can be relatively higher than 99%.

In addition, since the storage unit volume information for settlement processing according to an embodiment of the present invention can be calculated from the optimized shipping packaging information according to the combined packaging optimization algorithm according to the embodiment of the present invention, storage costs can be minimized. will also appear.

5 is a flowchart for explaining the operation of the service providing apparatus according to an embodiment of the present invention in more detail.

Referring to FIG. 5 , in the operating method of the service providing apparatus according to an embodiment of the present invention, in the registration step ( S101 ) product information received from the seller terminal 200 may be registered. The product information may include detailed information on a product manufactured by a seller or secured through sourcing. Specifically, the product information may include a product name, product image, number of holdings, item classification information, capacity or weight, size information, storage method, handling method, volume calculation information of a unit product, and the like.

In the management step (S103), load variable information for products included in the product information may be managed. The load variable information may include capacity, weight, volume calculation information, hardness, breakage safety, and the like that can be measured for each unit product. The loading variable information may be used to determine the loading order of products purchased by the buyer and the arrangement of products in the loading layer.

In the input step ( S105 ), purchase information received from the purchaser terminal 300 may be input. In the input step ( S105 ), product selection information and delivery request information that the buyer wants to purchase may be included in the purchase information through the purchaser terminal 300 . The input step (S105) refers to unique identifiers such as member ID, order request date, and delivery request address in the purchase information, or integrates to be combined packaging or combined delivery according to the selection information of the purchaser terminal 300. can be dealt with

In the analysis step (S107), delivery and packaging information may be matched according to a combined packaging optimization algorithm using the product information and the load variable information based on the purchase information. In the analysis step (S107), a three-dimensional packaging method of the purchase product included in the purchase information may be analyzed using the product information and the loading variable information, and delivery packaging information may be output as a result of the analysis.

The load variable information may include capacity, weight, volume calculation information, hardness, breakage safety, and the like that can be measured for each unit product. The loading variable information may be used to determine the loading order of products purchased by the buyer and the arrangement of products in the loading layer.

The analysis step (S107) may include a product type analysis step (not shown).

The product type analysis step may store product classification information obtained through product type classification for one or more products corresponding to the purchase information.

The analysis step (S107) may further include an auxiliary material combination analysis step (not shown).

The auxiliary material combination analysis step may analyze the volume information of the packaging auxiliary material corresponding to the packaging auxiliary material maintaining the quality of the product according to the product classification information, and include the volume information of the packaging auxiliary material in the loading variable information. .

The analysis step (S107) may further include a product volume analysis step (not shown).

The product volume analysis step corresponds to a packaging method for each product group classified into a specific item group in the purchased product based on the product classification information and the loading variable information, and packs one or more primary products determined by the corresponding packaging method. Volume information can be obtained.

The analysis step (S107) may further include a loading build analysis step (not shown).

The load build analysis step may determine a load method and secondary product pack volume information through analysis of a load order or a load arrangement based on the load variable information and the primary product pack volume information.

The load build analysis step may include a load order determination step (not shown).

In the loading order determining step, the loading order information is obtained by reflecting a weight (WEIGHT) corresponding to a preset importance index with respect to information obtained by extracting one or more of weight, hardness, volume, and breakage safety from the loading variable information. can

The loading build analysis step may further include a 3D shape build analysis step (not shown).

In the 3D shape build analysis step, the shape of the primary packaging product group is three-dimensionally modeled based on the primary product packaging volume information, and preset using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information. A loading algorithm may determine the loading arrangement type.

The loading algorithm uses the three-dimensional shape information to fit into a hexahedral shape and generate one or more hexahedron models according to the selective arrangement of the fit, and the volume value of the hollow formed inside the hexahedron model is A hexahedron model calculated with a minimum value may be determined as the secondary product packaging volume information.

In the processing step (S109), the purchase information and the delivery packaging information may be provided to the warehouse center terminal 400.

6 is an exemplary diagram for explaining delivery packaging information provided through a fulfillment packing service providing device according to an embodiment of the present invention.

Referring to FIG. 6 , the service providing apparatus 100 may visually provide a loading arrangement in the outermost hexahedral packaging box according to the three-dimensional shape of one or more purchase products ordered by the purchaser terminal 300 . In addition, the service providing device 100 may provide detailed combined packaging information on purchased products. The service providing apparatus 100 may provide box information and information according to a product list as 'Packing Result' information. The box information may include box volume information. In addition, the product list may include volume information and quantity information corresponding to the list of products purchased by the purchaser.

Table 1 below is a test result according to an embodiment of the present invention, and it can be confirmed that the efficiency is increased due to the optimized loading arrangement.

loading method Recommended box volume (cm) Volume (cm^3) efficiency(%) Maximum product packing method 50x35x25 43750 56.39 Placement based on volume 31x27x43 35991 65.88 Cube forced placement method 35x35x35 42875 57.54 the present invention 53x30x21 33390 75.32

Existing one-dimensional loading algorithms often check whether or not all products can fit around a box. For example, the volume of the box according to the loading method is recommended by determining whether a large amount of product is contained, whether the volume is minimized, or whether a cube is formed. Accordingly, as a result of testing with 13 products of different lengths and volumes, it can be confirmed that the embodiment of the present invention increases efficiency by 19% or more compared to other methods. This is because the products are in the shape of a cuboid rather than a regular hexahedron, and it can be seen as a result of the surface area acting as a more important variable.

Therefore, it can be confirmed from the above test results that the embodiment of the present invention proposes a more ideal and optimized loading sequence and method.

7 is a diagram for explaining a storage cost settlement process of the service providing apparatus 100 according to an embodiment of the present invention.

Referring to FIG. 7 , the service providing apparatus 100 according to an embodiment of the present invention calculates a storage unit volume based on purchase information and delivery packaging information provided to the warehouse center terminal 400 (S201).

Then, the service providing device 100 cumulatively sums storage unit volumes corresponding to predetermined time units (S203).

Thereafter, the service providing apparatus 100 calculates a storage cost corresponding to the summed storage unit volume (S205).

Then, the service providing device 100 performs real-time settlement processing corresponding to the storage cost (S207).

According to this process, the service providing device 100 calculates the storage unit volume of the stored product corresponding to the warehouse center terminal based on the pre-matched shipping packaging information, and the storage unit volume for a predetermined period of time. By cumulatively summing, it is possible to settle storage costs corresponding to the summed storage unit volumes, and thus, it is possible to calculate and settle storage costs that match the actual stored logistics volume periodically or in real time.

8 is a diagram for explaining a storage cost settlement process of the service providing apparatus 100 according to another embodiment of the present invention.

Referring to FIG. 8 , the service providing device 100 according to an embodiment of the present invention minimizes storage costs using delivery packaging information optimized by a combined packaging optimization algorithm, depending on whether the warehouse center terminal 400 uses the optimization service. service can be provided. This may be provided as an additional service, and the user of the warehouse center terminal 400 may selectively use the corresponding service.

Accordingly, the service providing apparatus 100 according to an embodiment of the present invention checks whether the cost settlement optimization service is used (S300), optimizes the shipping and packaging information according to the combined packaging optimization algorithm (S301), and purchases information And based on the optimized shipping packaging information, an optimized storage unit volume is calculated (S303).

Then, the service providing device 100 cumulatively sums the optimized storage unit volume corresponding to a predetermined time unit (S305).

Thereafter, the service providing apparatus 100 calculates storage costs corresponding to the optimized and summed storage unit volumes, and performs real-time settlement processing corresponding to the storage costs (S307).

According to such processing, the user of the warehouse center terminal 400 calculates and settles the storage unit volume according to the simple delivery packaging information according to his or her convenience, or the optimized storage unit volume is settled according to the optimized delivery packaging information. you can choose to be.

In addition, the service providing device 100 can calculate a realistic storage cost by setting it based on the optimized storage unit volume without actually checking whether or not it is loaded according to the shipping packaging information. We can provide optimization services for storage cost settlement that can help with warehouse center operation.

On the other hand, the method according to various embodiments of the present invention described above is implemented in the form of installation data to be executed in a terminal device and stored in various non-transitory computer readable media (non-transitory computer readable medium) to each server or device. can be provided.

A non-transitory readable medium is not a medium that stores data for a short moment, such as a register, cache, or memory, but a medium that stores data semi-permanently and can be read by a device. Specifically, the various applications or programs described above may be stored and provided in a non-transitory readable medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, or ROM.

In addition, although the preferred embodiments of the present invention have been shown and described above, the present invention is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present invention claimed in the claims. Of course, various modifications are possible by those skilled in the art, and these modifications should not be individually understood from the technical spirit or perspective of the present invention.

Claims (8)

In the service providing device,
a registration unit registering product information received from a seller terminal;
a management unit that manages load variable information for products included in the product information;
an input unit for inputting purchase information received from a purchaser terminal;
a packaging analysis unit that matches delivery packaging information calculated according to a combined packaging optimization algorithm for optimizing a surface area and a volume at the time of joint packaging with the purchase information using the loading variable information based on the purchase information;
a storage unit volume calculator configured to calculate a storage unit volume of a stored product corresponding to the warehouse center terminal based on the delivery packaging information; and
A storage cost settlement processing unit accumulating and summing the storage unit volumes for a predetermined period of time and calculating storage costs corresponding to the summed storage unit volumes.
Storage cost settlement service providing device for fulfillment service. According to claim 1,
The storage cost settlement processor calculates the storage cost by obtaining a preset storage unit cost corresponding to the accumulated storage unit volume and multiplying the storage unit cost by the accumulated storage unit volume corresponding to the accumulated storage unit volume. doing
Storage cost settlement service providing device for fulfillment service. According to claim 1,
The combined packaging optimization algorithm extracts a loading method by selectively applying one or more of product placement order, product placement composition, product placement location, and product placement shape information according to a preset loading criterion, and calculates a recommended packaging box volume. to be
Service Provisioning Device. According to claim 1,
The loading criterion determines the lowest loaded product using the maximum bottom surface area information of the product, but minimizes the total surface area of the stacked and loaded products and the volume of the hexahedral box capable of containing the loaded products Characterized in that
Service Provisioning Device. According to claim 1,
Characterized in that the delivery packaging information includes one or more of packaging box size information, packaging box volume information, space efficiency information, and three-dimensional shape loading information
Service Provisioning Device. According to claim 1,
The packaging analysis unit,
a product type analyzer configured to store product classification information obtained through product type classification for one or more products corresponding to the purchase information;
A subsidiary material combination analysis unit that analyzes at least one of surface area information, volume information, and weight information including the packaging subsidiary material to correspond to the packaging subsidiary material maintaining the quality of the product according to the product classification information and includes it in loading variable information; and
A product that corresponds to a packaging method for each product group classified into a specific item group in the purchased product based on the product classification information and the loading variable information, and obtains one or more primary product packaging volume information determined by the corresponding packaging method. Volume analysis unit; further comprising
Service Provisioning Device. According to claim 6,
The packaging analysis unit,
Based on the loading variable information and the primary product packaging volume information, a loading build analysis unit for determining a loading method and secondary product packaging volume information through analysis of a loading order or a loading arrangement form; further comprising,
The loading build analysis unit,
A loading order determining module for acquiring the loading order information by reflecting a weight (WEIGHT) corresponding to a preset importance index with respect to the information extracted from the loading variable information with at least one of weight, hardness, volume, and breakage safety; and
Based on the primary product package volume information, the shape of the primary packaging product group is three-dimensionally modeled, and the loading arrangement is set according to a loading algorithm preset using the three-dimensional shape information obtained through the three-dimensional modeling and the loading order information. A 3D shape build analysis module for determining the shape; further comprising,
The loading algorithm uses the three-dimensional shape information to fit into a hexahedral shape, generate one or more hexahedral models according to the selective arrangement of the fitting, and determine the volume value of the hollow formed inside the hexahedron model. Characterized in that the hexahedron model calculated as the minimum value is determined by the secondary product packaging volume information
Service Provisioning Device. In the operating method of the service providing device,
Registering product information received from a seller terminal;
Managing load variable information for products included in the product information;
inputting purchase information received from a purchaser terminal;
matching delivery and packaging information calculated according to a combined packaging optimization algorithm for optimizing a surface area and a volume at the time of product combined packaging, using the loading variable information based on the purchase information, with the purchase information;
Calculating a storage unit volume of storage products corresponding to the warehouse center terminal based on the delivery packaging information; and
Accumulating and summing the volume of the storage unit for a predetermined period of time, and settling the storage cost corresponding to the summed volume of the storage unit.
A method of operating an apparatus for providing a storage cost settlement service for a fulfillment service.

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