KR20230138137A - Operating system of logistics center - Google Patents

Abstract

A logistics center operating system according to an embodiment of the present invention includes an order input unit for receiving order information including product information and delivery address information; a loading equipment allocation unit for allocating goods to a loading equipment corresponding to a delivery destination based on the order information; An expected usage calculation unit for calculating the expected usage of loading equipment for each delivery destination, based on the allocation result of the loading equipment allocation unit; An actual usage calculation unit to calculate the actual usage of loading equipment for each delivery destination, according to the results of the loading operation; and a feedback application unit for comparing the expected usage of the loading equipment for each shipping destination and the actual usage of the loading equipment for each shipping destination, and adjusting parameters used when calculating the expected usage of the loading equipment for each shipping destination based on the comparison result, wherein the loading The equipment allocation unit is characterized in that for the next loading operation, the goods are allocated to the loading equipment corresponding to the delivery destination based on the next order information and the expected usage of the loading equipment for each delivery destination.

Description

Logistics center operating system{OPERATING SYSTEM OF LOGISTICS CENTER}

An embodiment of the present invention relates to a logistics center operating system, particularly a logistics center operating system that can improve shipping efficiency by efficiently using the facilities of the logistics center according to delivery destination information and history information.

The conventional warehouse system is linked to an automated storage/retrieval system (AS/RS) or an automated loading and unloading system to move logistics from point to point, or is linked to a distribution automation system to branch out. It is characterized by:

Generally, the process of releasing goods from a logistics center is carried out as follows. First, after picking and packaging, the goods are sorted through a sorting facility and discharged to the area where the loading facility is located by a discharge facility. Then, the sorted goods are loaded into a loading facility and transferred to a delivery vehicle. Then, the goods are loaded from the loading facility onto the delivery vehicle.

In order to improve shipping efficiency and increase shipping volume per hour, the use of discharge facilities must be maximized, the number of loading facilities must be optimized, and the distance traveled by workers must be minimized.

Conventionally, because the types and quantities of shipped products change every day, it has been difficult to improve shipping efficiency and increase shipping volume per hour.

Additionally, in the existing shipping process, the operation of the sorting facility's discharge facility and the subsequent loading facility were fixed. In other words, the delivery address and delivery group assigned to the discharge facility were fixed, and the delivery address and delivery group assigned to the loading facility were fixed. This can be a great advantage in cases where the quantity of goods is small and the delivery destination/delivery group is constant, as the actual loading worker can proceed with the work with familiarity since he or she always uses the loading equipment at the same location.

However, most logistics centers that introduce operational solution systems are medium-sized or larger, and the quantity of goods, delivery destinations, and delivery groups continue to increase. In this situation, problems may arise if you operate in the existing way as described above. In particular, when loading goods that exceed the maximum capacity of the loading equipment allocated to the relevant delivery group, the goods must be left on the floor or a separate roll container must be brought into the movement passage, and if there is no adequate space, they must be placed in the movement line. There was. As a result, work flow and space utilization were lowered, and there was a problem that defects could occur in products.

Additionally, the existing method of operation requires the labor of more workers. Users operate by changing the allocation and arrangement of chutes or roll containers according to expected sales for the volume expected at specific times, such as holidays or Christmas. This operating method requires manpower and time, and frequent changes confuse workers, which can lead to operational errors and misdelivery.

Korean Patent No. 10-2095735 ‘Region-based logistics system and distribution method using trucks’ (published on March 26, 2020) Korean Patent No. 10-1889928 ‘Logistics movement automation system and method’ (published on March 26, 2020)

The purpose of the present invention is to provide a logistics center operating system that can improve shipping efficiency.

Another object of the present invention is to provide a logistics center operation system that can improve the delivery volume per hour by reducing the movement of workers.

Another purpose of the present invention is to provide a logistics center operation system that can efficiently use the facilities of the logistics center according to delivery destination information and history information.

Another purpose of the present invention is to provide a logistics center operation system that can optimize the process of sorting and loading goods upon delivery within the logistics center.

Another object of the present invention is to provide a logistics center operation system that can gradually improve the operation rate of sorting facilities by automatically adjusting the capacity of each standard item of loading facilities.

Another object of the present invention is to provide a logistics center operation system that can streamline center operation and reduce costs by providing basis data for accurate dispatch by predicting order volume and loading facility usage for each delivery destination through shipment history information. It is there.

Another purpose of the present invention is to provide a logistics center operation system that can gradually find the optimal value through automatic adjustment of the capacity of each standard item of loading equipment and increase shipping efficiency through accurate prediction.

A logistics center operating system according to an embodiment of the present invention includes an order input unit for receiving order information including product information and delivery address information; a loading equipment allocation unit for allocating goods to a loading equipment corresponding to a delivery destination based on the order information; An expected usage calculation unit for calculating the expected usage of loading equipment for each delivery destination, based on the allocation result of the loading equipment allocation unit; An actual usage calculation unit to calculate the actual usage of loading equipment for each delivery destination, according to the results of the loading operation; and a feedback application unit for comparing the expected usage of the loading equipment for each shipping destination and the actual usage of the loading equipment for each shipping destination, and adjusting parameters used when calculating the expected usage of the loading equipment for each shipping destination based on the comparison result, wherein the loading The equipment allocation unit is characterized in that for the next loading operation, the goods are allocated to the loading equipment corresponding to the delivery destination based on the next order information and the expected usage of the loading equipment for each delivery destination.

In addition, the expected usage calculation unit includes an item setting unit for setting loading equipment items indicating loading standards of the loading equipment; For each of the above items, a maximum value setting unit for setting a maximum value acceptable to the loading equipment; A specific gravity setting unit for setting a specific gravity value for each of the above items; and a calculation unit for calculating the expected usage of loading equipment for each delivery destination based on the product information, the maximum value, and the specific gravity value.

Additionally, the items include at least one of amount, weight, number of items, and volume.

In addition, the calculation unit calculates the expected usage of loading facilities for each delivery destination using [Equation 1],

[Equation 1]

Here, Y is the expected usage of loading equipment for each delivery destination, Xk is the product characteristic value of the kth item, Rk is the specific gravity of the kth item, and Mk is the maximum value of the kth item.

In addition, the feedback application unit may include a data generation unit for generating feedback data by comparing the expected usage of the loading equipment for each delivery destination and the actual usage of the loading equipment for each delivery destination; a maximum value control unit configured to adjust the maximum value based on the feedback data; and a specific gravity adjusting unit for adjusting the specific gravity based on the feedback data.

Additionally, the maximum value adjusting unit may include an extraction unit for extracting an overfull record from the feedback data when a specific point in time arrives or according to a preset cycle; and an adjustment unit for adjusting the maximum value of the corresponding item when overpooling continues to occur during the reference period based on the overfull record.

Additionally, a logistics center operating system according to an embodiment of the present invention includes a data management unit for storing operation history data and the feedback data; and a prediction unit configured to predict at least one of an order quantity and a total loading facility usage based on the operation history data before the input of the order information is completed.

In addition, the loading equipment allocation unit is characterized in that, when the total loading equipment usage according to the order information exceeds the possessed loading equipment amount, the scale of the total loading equipment usage is adjusted by adjusting the overfull judgment standard.

In addition, a berthing facility allocation unit for allocating a delivery destination to a corresponding berthing facility based on dispatch information; And based on the allocation result of the berthing equipment allocation unit, it further includes a facility position setting unit for positioning loading equipment in the berthing equipment for each round, wherein the equipment position setting unit sets the loading equipment of the first round to the loading equipment of the second round. It is located so that the berthing equipment can be accessed with priority over the equipment, and the first round is characterized in that it is a round before the second round.

In addition, it further includes a discharge equipment allocation unit for allocating a delivery destination to the corresponding discharge equipment, and the discharge equipment allocation unit is characterized in that it corresponds 1:1 between the discharge equipment and the delivery destination in a single round.

In addition, the loading equipment allocation unit is characterized in that it sets a plurality of loading areas corresponding to a plurality of delivery destinations for one loading equipment.

The logistics center operating system of the present invention has the effect of improving shipping efficiency.

In addition, the logistics center operating system of the present invention has the effect of improving the delivery volume per hour by reducing the movement of workers.

In addition, the distribution center operating system of the present invention has the effect of efficiently using the facilities of the distribution center according to delivery destination information and history information.

In addition, the distribution center operating system of the present invention has the effect of optimizing the process of sorting and loading goods when they are shipped from the distribution center.

In addition, the logistics center operating system of the present invention has the effect of gradually improving the operation rate of sorting facilities by automatically adjusting the capacity of each standard item of loading facilities.

In addition, the distribution center operating system of the present invention has the effect of streamlining center operation and reducing costs by providing basis data for accurate dispatch by predicting order volume and loading facility usage for each delivery destination through shipment history information.

In addition, the logistics center operating system of the present invention has the effect of gradually finding the optimal value through automatic adjustment of the capacity of each standard item of loading equipment and increasing shipping efficiency through accurate prediction.

1 is a diagram showing a logistics center according to an embodiment of the present invention.
Figure 2 is a diagram showing an operating system according to an embodiment of the present invention.
Figure 3 is a diagram showing an expected usage calculation unit according to an embodiment of the present invention.
Figure 4 is a diagram showing the maximum and specific values for items according to an embodiment of the present invention.
Figure 5 is a diagram showing a feedback application unit according to an embodiment of the present invention.
Figure 6 is a diagram showing a maximum value adjustment unit according to an embodiment of the present invention.
Figure 7 is a diagram showing a loading facility according to an embodiment of the present invention.

The present invention will be described in more detail.

Hereinafter, with reference to the attached drawings, embodiments of the present invention and other matters necessary for those skilled in the art to easily understand the contents of the present invention will be described in detail. However, since the present invention can be implemented in various different forms within the scope set forth in the claims, the embodiments described below are merely illustrative, regardless of whether they are expressed or not.

Like reference numerals refer to like elements. Additionally, in the drawings, the thickness, proportions, and dimensions of components are exaggerated for effective explanation of technical content. “And/or” may include any one or more combinations that the associated configurations may define.

Terms such as first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. For example, a first component may be named a second component, and similarly, the second component may also be named a first component without departing from the scope of the present invention. Singular expressions may include plural expressions, unless the context clearly indicates otherwise.

Additionally, terms such as “below,” “on the lower side,” “above,” and “on the upper side” are used to describe the relationship between the components shown in the drawings. The above terms are relative concepts and are explained based on the direction indicated in the drawings.

Terms such as “include” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but do not include one or more other features, numbers, or steps. , it should be understood that it does not exclude in advance the possibility of the existence or addition of operations, components, parts, or combinations thereof.

In other words, the present invention is not limited to the embodiments disclosed below, but can be implemented in various different forms. In the description below, when a part is connected to another part, it is directly connected. In addition, it may also include cases where they are electrically connected with another element in between. In addition, it should be noted that the same components in the drawings are indicated with the same reference numbers and symbols as much as possible, even if they are shown in different drawings.

Figure 1 is a diagram showing a logistics center 10 according to an embodiment of the present invention.

Referring to FIG. 1, the logistics center 10 sorts the goods to be delivered by delivery destination according to the order contents and loads them onto a delivery vehicle (CD), and the delivery vehicle (CD) loaded with the goods delivers the goods to the delivery destination. You can.

To this end, the logistics center 10 may include a sorting facility (SD), a discharge facility (DD), a loading facility (LD), a berthing facility (BD), a delivery vehicle (CD), and an operating system 100.

Depending on the order details, the logistics center 10 sorts the goods to be delivered by delivery destination and loads them onto a delivery vehicle (CD), and the delivery vehicle (CD) loaded with the goods can deliver the goods to the delivery destination.

The sorting facility (SD) can sort picked and wrapped items by delivery destination. For example, sorting equipment (SD) may include commonly used sorting devices. Depending on the embodiment, the sorting facility (SD) may be implemented as a conveyor belt. Depending on the embodiment, the classification facility (SD) may be equipped with at least one discharge device (DD).

The discharge facility (DD) can discharge the sorted goods from the sorting facility (SD) to the loading facility (LD). For example, articles sorted by the sorting facility (SD) may be discharged from the sorting device (SD) through the discharging device (DD) to the corresponding discharging device (DD). The goods may then be placed on the discharge device (DD) until loaded into the loading device (LD).

The loading facility (LD) can load articles discharged from the discharging facility (DD). For example, the loading device (LD) may be a loading device that automatically receives goods from the discharging device (DD) through an appropriate mechanical structure and automatically moves along a given path. However, the present invention is not limited to this, and depending on the embodiment, the loading facility (LD) may be implemented as a rack structure in which items are manually loaded in pallet units by an operator.

The berthing facility (BD) can load goods moved by the loading facility (LD) onto the delivery vehicle (CD). For example, the berthing device (BD) may include a lift device that can properly move the items loaded on the loading device (LD) to the container of the delivery vehicle (CD).

Once the goods are loaded onto the vehicle by the berthing device (BD), the delivery vehicle (CD) can move to a designated delivery location and deliver the goods.

The operating system 100 may control at least one of classification equipment (SD), discharge equipment (DD), loading equipment (LD), and berthing equipment (BD). For example, the operating system 100 can enable work to proceed efficiently by distributing goods according to the delivery destination and allocating each facility.

Figure 2 is a diagram showing an operating system 100 according to an embodiment of the present invention.

Referring to FIG. 2, the operating system 100 includes an order input unit 110, a loading equipment allocation unit 120, an expected usage calculation unit 130, an actual usage calculation unit 140, a feedback application unit 150, and a data It may include a management unit 160, a prediction unit 170, a berthing facility allocation unit 180, a facility location setting unit 190, and a discharge facility allocation unit 195.

The order input unit 110 may receive order information including product information and delivery address information.

The loading facility allocation unit 120 may allocate goods to a loading facility corresponding to the delivery destination based on order information. In addition, the loading equipment allocation unit 120 may allocate the goods to the loading equipment corresponding to the delivery destination for the next loading operation, based on the next order information and the expected usage of the loading equipment for each delivery destination. That is, the loading equipment allocation unit 120 may allocate loading equipment based on the first order information. When the loading operation is completed, the loading equipment allocation unit 120 may allocate the loading equipment based on the expected usage of the loading equipment for each delivery destination and the second order information, which reflects the feedback calculated based on the work results. Here, the first order information may be order information entered on the first day, and the second order information may refer to order information entered on the second day, the day after the first day. However, the present invention is not limited to this, and depending on the embodiment, the loading equipment allocation unit 120 may allocate loading equipment according to the first order information and the second order information input for each round of loading operations. .

In addition, the loading equipment allocation unit 120 may adjust the scale of the total loading equipment usage by adjusting the overfull judgment standard when the total loading equipment usage according to the order information exceeds the possessed loading equipment amount. That is, when an order is closed, the loading facility allocation unit 120 can assign a delivery destination to each of the loading facilities based on the loading facility usage for each delivery location calculated based on the order information entered on that date. If, at this time, the total loading facility usage for the day according to the order information exceeds the loading facility amount, the loading facility allocation unit 120 may adjust the overfull judgment standard. Here, overfull may mean a case where the loading amount exceeds the loading safety range of the loading equipment (e.g., 90% of the maximum value). For example, the loading equipment allocation unit 120 can adjust the loading safety range from 90% of the maximum to 95% of the maximum to ensure that the loading operation can proceed safely even if overfull occurs. In addition, the expected usage calculation unit 130 can recalculate the usage of loading equipment by reducing the scale to match the amount of loading equipment.

Additionally, the loading facility allocation unit 120 may set a plurality of loading areas corresponding to a plurality of delivery destinations for one loading facility. In other words, the loading facility allocation unit 120 can perform delivery destination allocation within the loading facility. If multiple delivery destinations are assigned within one loading facility, the loading facility allocation unit 120 may set the space within the cutting facility into a plurality of loading areas and assign one shipping address to one loading area. For example, the loading equipment may be divided into several stages. At this time, the loading equipment allocation unit 120 can allocate delivery destinations to each stage. At this time, the location of the divided stages must be made clear to avoid confusion among workers.

The expected usage calculation unit 130 may calculate the expected usage of loading equipment for each delivery destination based on the allocation result of the loading equipment allocation unit 120. For example, the expected usage calculation unit 130 can calculate the expected usage of the loading equipment for each shipping destination based on the product information of the goods to be loaded on the loading equipment and the characteristics of the loading equipment (e.g., maximum acceptance and specific gravity). there is. Details related to this are explained in FIG. 3 .

The actual usage calculation unit 140 can calculate the actual usage of loading equipment for each delivery destination according to the results of the loading operation. For example, when the loading operation is completed, the actual usage calculation unit 140 may calculate the actual usage of loading equipment for each delivery destination based on result information input by the operator. Depending on the embodiment, the actual usage calculation unit 140 may calculate the actual usage of loading facilities for each delivery destination in a manner similar to the expected usage calculation unit 130.

The feedback application unit 150 compares the expected usage of the loading equipment for each delivery destination and the actual usage of the loading equipment for each delivery destination, and adjusts the parameters used when calculating the expected usage of the loading equipment for each delivery destination based on the comparison results.

For example, work is performed based on the expected usage of loading facilities for each delivery destination, and workers can generate feedback when completing work. If there is no feedback, the estimated usage of loading facilities for each shipping destination can be judged to be accurate. However, if there is feedback, the feedback application unit 150 can adjust the calculation parameters according to the feedback.

Details related to this are explained in FIG. 5 .

The data management unit 160 may store operation history data and feedback data. Here, the operation history data may refer to overall data on the results of goods being distributed to facilities according to the delivery destination and the results of progressed work. Operation history data and feedback data can be used as basis data to adjust the weight of each loading facility item. For example, the data management unit 160 may include a server device.

The prediction unit 170 may predict at least one of the order quantity and the total loading facility usage based on operation history data before the input of order information is completed. For example, the prediction unit 170 can predict the usage of loading facilities for each delivery destination based on operation history data. In general, when an order is closed, you can check the shipping address where the order came from on that day, and accordingly calculate the order quantity for each product for each shipping address. However, even before the order deadline, advance prediction is necessary, such as knowing the expected shipping address for dispatch or predicting the order volume for additional placement or changes in loading facilities. To this end, the prediction unit 170 can predict the order quantity and loading facility usage for each delivery destination based on operation history data.

Depending on the embodiment, the prediction unit 170 may proceed with the prediction by excluding operation history data for a preset period and calculating an average excluding the maximum and minimum values. At this time, the preset period may mean a delivery intensive period such as a holiday or Christmas.

According to another embodiment, the prediction unit 170 may make a prediction based on operation history data for a specific period determined by the manager. At this time, the specific period may refer to a period set in the past from the prediction point (eg, the most recent month, the most recent week, etc.).

The berthing facility allocation unit 180 can allocate a delivery destination to a corresponding berthing facility based on dispatch information. For example, the berthing facility allocation unit 180 can receive same-day dispatch information and confirm the allocation of delivery destinations for each berthing facility. At this time, the delivery destination assigned to the berthing facility may be divided by batch. The berthing facility allocation unit 180 can allocate delivery destinations for each berthing facility according to the usage of loading facilities for each berthing facility and each delivery destination.

The facility location setting unit 190 may position loading facilities in the berthing facility for each turn based on the allocation result of the berthing facility allocation unit. For example, the equipment position setting unit 190 may position the loading equipment of the first round to be accessible to the berthing equipment with priority over the loading equipment of the second round. At this time, the first round may be a round preceding the second round.

The facility position setting unit 190 can be set so that the fastest turn is closer to the berthing facility. Through this, the operating system 100 of the logistics center of the present invention can improve work speed and unloading speed by allocating a delivery destination to a loading facility in consideration of discharge facilities and berthing facilities.

The discharge facility allocation unit 195 can assign the delivery destination to the corresponding discharge facility. For example, the discharge facility allocation unit 195 can provide a 1:1 correspondence between discharge facilities and delivery destinations within a single round.

Depending on the embodiment, the discharge facility allocation unit 195 may proceed with discharge facility allocation by considering the berthing facility and loading facility allocation results. Through this, the distribution center operating system 100 of the present invention can minimize worker confusion and maximize efficiency by allocating workers' movements in consideration.

Figure 3 is a diagram showing the expected usage calculation unit 130 according to an embodiment of the present invention.

Referring to FIG. 3, the expected usage calculation unit 130 may include an item setting unit 131, a maximum value setting unit 132, a specific value setting unit 133, and a calculating unit 134.

One loading facility has a finite loading capacity. Therefore, loading facilities require loading standards that take loading capacity into account. In this specification, the loading standard of loading equipment may be referred to as an item of loading equipment. And, for loading equipment items, the maximum value for each item that can be contained in a single loading equipment can be set. For example, the maximum value may mean the capacity of each standard item of loading equipment.

To this end, the item setting unit 131 can set the items of the loading equipment. Here, the items may include at least one of amount, weight, number of items, and volume.

The maximum value setting unit 132 can set the maximum value acceptable to the loading facility for each item. For example, the maximum value may be set as the maximum value that the loading facility can accommodate based on the relevant item.

The specific gravity setting unit 133 can set the specific gravity for each item. For example, the specific gravity may have a value of 0 or more.

Depending on the embodiment, for operational stability, it may be designed so that workers cannot change the maximum value and specific gravity of each item of the loading equipment. Through this, the distribution center operating system of the present invention has the effect of automatically deriving at least one of the optimal maximum value and specific gravity value.

The calculation unit 134 can calculate the expected usage of loading facilities for each delivery destination based on product information, maximum value, and specific gravity value.

For example, the calculation unit 134 can calculate the expected usage of loading facilities for each delivery destination using [Equation 1].

[Equation 1]

Here, Y may be the expected usage of loading facilities for each delivery destination. The calculation unit 134 can calculate Y. Xk is the product characteristic value of the kth item, Rk is the specific gravity of the kth item's loading equipment, and Mk may be the maximum value of the kth item's loading equipment.

Figure 4 is a diagram showing an example of setting maximum values and specific values for items according to an embodiment of the present invention.

Referring to Figures 3 and 4, the maximum value setting unit 132 sets the maximum value to 1 million won for the 'Amount' item, sets the maximum value to 200 kg for the 'Weight' item, and sets the maximum value to 200 kg for the 'Number of Items' item. The maximum value can be set to 100, and the maximum value for the 'Volume' item can be set to 2m ³ . That is, the maximum value setting unit 132 can set the maximum value differently for each item so that more important items have a greater influence on the final calculated value.

The specific gravity setting unit 133 may set the specific gravity to 0.5 for the 'amount' and 'number of items' items, and set the specific gravity to 0 for the 'weight' and 'volume' items.

That is, the specific gravity setting unit 133 of the present invention sets the specific gravity differently for each item, allowing more important items to have a greater influence on the final calculated value.

Figure 5 is a diagram showing the feedback application unit 150 according to an embodiment of the present invention.

Referring to FIG. 5 , the feedback application unit 150 may include a data generation unit 151, a maximum value adjustment unit 152, and a specific value adjustment unit 153.

The data generator 151 may generate feedback data by comparing the expected usage of loading facilities for each delivery destination and the actual usage of loading facilities for each delivery destination. For example, the data generator 151 may generate feedback data using an algorithm using comparison results. However, the present invention is not limited to this, and the data generator 151 may generate feedback data based on information input by the operator who confirmed the comparison result.

The maximum value adjusting unit 152 may adjust the maximum value based on feedback data. For example, the maximum value adjusting unit 152 may increase or decrease the maximum value for each loading equipment item based on feedback data reflecting actual work results. Depending on the embodiment, adjustment of the maximum value for each standard item of the loading equipment may be performed when a time set by the user arrives, when feedback occurs, or when overfull occurs.

The specific gravity adjusting unit 153 can adjust the specific gravity based on feedback data. For example, the maximum value adjusting unit 152 may modify the specific gravity of each loading equipment item based on feedback data reflecting actual work results.

Figure 6 is a diagram showing the maximum value adjustment unit 152 according to an embodiment of the present invention.

Referring to FIG. 6, the maximum value adjustment unit 152 may include an extraction unit 1521 and an adjustment unit 1522.

The extractor 1521 may extract the overfull record from feedback data when a specific point in time arrives or according to a preset cycle. For example, a specific point in time and a preset cycle may be set by an operator or manager.

The adjuster 1522 may adjust the maximum value of the corresponding item when overfull continuously occurs during the reference period based on the overfull record. For example, if the overfull has consistently occurred at about 10% of the loading equipment during a preset period of 4 weeks, the control unit 1522 can adjust the maximum value for each item to increase the overall maximum value by 10%. That is, if the maximum value of the weight item is 100 kg, when the above-mentioned conditions are met, the control unit 1522 can change the maximum value of the weight item to 110 kg.

Through this, the logistics center operating system according to an embodiment of the present invention automatically adjusts the maximum value for each loading equipment item to find the optimal value, thereby improving prediction accuracy and shipping efficiency.

Figure 7 is a diagram showing a loading facility (LD) according to an embodiment of the present invention.

Referring to FIGS. 2 and 7 , the loading facility allocation unit 120 may set a plurality of loading areas LA1 and LA2 corresponding to a plurality of delivery destinations for one loading facility LD. In other words, the loading facility allocation unit 120 can perform delivery destination allocation within the loading facility (LD). If multiple delivery destinations are assigned within one loading facility (LD), the loading facility allocation unit 120 sets the space within the cutting facility into a plurality of loading areas (LA1, LA2), so that one loading area You can assign a shipping destination. For example, as shown in FIG. 7, the loading facility (LD) may be divided into several stages. At this time, the loading equipment allocation unit 120 can allocate delivery destinations to each stage.

Through the above-described method, the distribution center operating system of the present invention has the effect of improving shipping efficiency.

In addition, the logistics center operating system of the present invention has the effect of improving the delivery volume per hour by reducing the movement of workers.

In addition, the distribution center operating system of the present invention has the effect of efficiently using the facilities of the distribution center according to delivery destination information and history information.

In addition, the distribution center operating system of the present invention has the effect of optimizing the process of sorting and loading goods when they are shipped from the distribution center.

In addition, the logistics center operating system of the present invention has the effect of gradually improving the operation rate of sorting facilities by automatically adjusting the capacity of each standard item of loading facilities.

In addition, the distribution center operating system of the present invention has the effect of streamlining center operation and reducing costs by providing basis data for accurate dispatch by predicting order volume and loading facility usage for each delivery destination through shipment history information.

The functional operations described herein and embodiments of the subject matter described above may be implemented in digital electronic circuits, computer software, firmware or hardware, including the structures disclosed herein and their structural equivalents, or in a combination of one or more of these. possible.

Embodiments of the subject matter described herein may relate to one or more computer program products, that is, computer program instructions encoded on a tangible program medium for execution by or to control the operation of a data processing device. It can be implemented as a module. The tangible program medium may be a radio signal or a computer-readable medium. A radio signal is an artificially generated signal, such as a machine-generated electrical, optical or electromagnetic signal, that is generated to encode information for transmission to a suitable receiver device for execution by a computer. The computer-readable medium may be a machine-readable storage device, a machine-readable storage substrate, a memory device, a combination of materials that affect a machine-readable radio wave signal, or a combination of one or more of these.

A computer program (also known as a program, software, software application, script, or code) may be written in any form of a programming language, including a compiled or interpreted language, or an a priori or procedural language, as a stand-alone program or module; It can be deployed in any form, including components, subroutines, or other units suitable for use in a computer environment.

Computer programs do not necessarily correspond to files on a file device. A program may be stored within a single file that serves the requested program, or within multiple interacting files (e.g., more than one file storing a module, subprogram, or portion of code), or within a file holding other programs or data. Some (e.g., one or more scripts stored within a markup language document) may be stored.

The computer program may be deployed to run on a single computer or multiple computers located at one site or distributed across multiple sites and interconnected by a communications network.

Additionally, the logic flow and structural block diagram described in this patent document describe corresponding actions and/or specific methods supported by corresponding functions and steps supported by the disclosed structural means, It can also be used to build software structures and algorithms and their equivalents.

The processes and logic flows described herein can be performed by one or more programmable processors, each of which executes one or more computer programs to perform functions by operating on input data and generating output.

Processors suitable for executing computer programs include, for example, any one or more processors of both general-purpose and special-purpose microprocessors and any type of digital computer. Typically, the processor will receive instructions and data from read-only memory, random access memory, or both.

The core elements of a computer are one or more memory devices for storing instructions and data and a processor for executing instructions. Additionally, a computer generally includes one or more mass storage devices for storing data, such as magnetic, magneto-optical or optical disks, operable to receive data from, transfer data to, or perform both such operations. It may be combined with or include these. However, a computer does not need to have such a device.

The present description sets forth the best mode of the invention and provides examples to illustrate the invention and to enable any person skilled in the art to make or use the invention. The specification prepared in this way does not limit the present invention to the specific terms presented.

Although the present invention has been described above with reference to preferred embodiments, those skilled in the art or have ordinary knowledge in the relevant technical field should not deviate from the spirit and technical scope of the present invention as set forth in the claims to be described later. It will be understood that the present invention can be modified and changed in various ways within the scope of the present invention.

Therefore, the technical scope of the present invention should not be limited to what is described in the detailed description of the specification, but should be defined by the scope of the patent claims.

10: Logistics Center
100: Operating system
110: Order input unit
120: Loading equipment allocation unit
130: Expected usage calculation unit
140: Actual usage calculation unit
150: Feedback application unit
160: Data management department
170: prediction unit
180: Berthing equipment allocation unit
190: Equipment position setting unit
195: Discharge equipment allocation department

Claims (11)

an order input unit for inputting order information including product information and delivery address information;
a loading equipment allocation unit for allocating goods to a loading equipment corresponding to a delivery destination based on the order information;
An expected usage calculation unit for calculating the expected usage of loading equipment for each delivery destination, based on the allocation result of the loading equipment allocation unit;
An actual usage calculation unit to calculate the actual usage of loading equipment for each delivery destination, according to the results of the loading operation; and
A feedback application unit for comparing the expected usage of the loading equipment for each delivery destination and the actual usage of the loading equipment for each delivery destination, and adjusting parameters used when calculating the expected usage of the loading equipment for each delivery destination based on the comparison result,
The loading equipment allocation unit is characterized in that, for the next loading operation, allocates the goods to the loading equipment corresponding to the delivery destination based on the next order information and the expected usage of the loading equipment for each delivery destination.
Logistics center operation system. According to paragraph 1,
The expected usage calculation unit,
An item setting unit for setting loading equipment items indicating loading standards of the loading equipment;
For each of the above items, a maximum value setting unit for setting a maximum value acceptable to the loading equipment;
A specific gravity setting unit for setting a specific gravity value for each of the above items; and
Characterized in that it includes a calculation unit for calculating the expected usage of loading equipment for each delivery destination based on the product information, the maximum value, and the specific gravity value,
Logistics center operation system. According to paragraph 2,
The items include at least one of amount, weight, number of items, and volume.
Logistics center operation system. According to paragraph 3,
The calculation unit calculates the expected usage of loading facilities for each delivery destination using [Equation 1],
[Equation 1]

Here, Y is the expected usage of loading equipment for each shipping destination,
Logistics center operation system. According to clause 4,
The feedback application unit,
a data generator for generating feedback data by comparing the expected usage of loading facilities for each delivery destination and the actual usage of loading facilities for each delivery destination;
a maximum value control unit configured to adjust the maximum value based on the feedback data; and
Characterized in that it includes a specific gravity adjustment unit for adjusting the specific gravity based on the feedback data,
Logistics center operation system. According to clause 5,
The maximum control unit,
an extraction unit for extracting an overfull record from the feedback data when a specific point in time arrives or according to a preset period; and
Characterized in that it includes an adjustment unit for adjusting the maximum value of the corresponding item when overpool continues to occur during the reference period based on the overfull record,
Logistics center operation system. According to clause 6,
a data management unit for storing operation history data and the feedback data; and
Before the input of the order information is completed, characterized in that it further comprises a prediction unit for predicting at least one of the order quantity and the total loading facility usage based on the operation history data,
Logistics center operation system. In clause 7,
The loading equipment allocation unit adjusts the scale of the total loading equipment usage by adjusting the overfull judgment standard when the total loading equipment usage according to the order information exceeds the amount of loading equipment possessed.
Logistics center operation system. According to clause 8,
A berthing facility allocation unit for allocating a delivery destination to a corresponding berthing facility based on dispatch information; and
Based on the allocation result of the berthing facility allocation unit, it further includes a facility position setting unit for positioning loading facilities in the berthing facility for each turn,
The equipment position setting unit positions the loading equipment of the first round to be accessible to the berthing equipment with priority over the loading equipment of the second round,
The first round is characterized in that it is a round preceding the second round,
Logistics center operation system. According to clause 9,
It further includes a discharge facility allocation unit for assigning a delivery destination to the corresponding discharge facility,
The discharge equipment allocation unit is characterized in that it corresponds 1:1 between the discharge equipment and the delivery destination in a single round.
Logistics center operation system. According to clause 10,
The loading equipment allocation unit is characterized in that it sets a plurality of loading areas corresponding to a plurality of delivery destinations for one loading facility,
Logistics center operation system.

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