TWI818647B - Method for instantly and dynamically composing storage in any size and system thereof - Google Patents

Abstract

A method for instantly and dynamically composing a storage in any size and a system thereof are proposed. An object size obtaining step is performed to drive a warehouse management platform to scan an object through a scanning equipment to obtain an object size. The warehouse management platform stores a plurality of warehouse unit numbers and a plurality of warehouse unit sizes. A warehouse unit number selecting step is performed to drive the warehouse management platform to select a part of the warehouse unit numbers whose a total size of a part of the warehouse unit sizes is greater than or equal to the object size from the warehouse unit numbers. The warehouse management platform transmits an initial starting number and an initial ending number to the scanning equipment. A warehouse unit confirming step is performed to drive the scanning equipment to confirm whether a plurality of warehouse units coded in sequence between the initial starting number and the initial ending number correspond to a preset position to generate a confirming result, and determine an optimizing storage according to the confirming result. Therefore, the optimizing storage can be found immediately on the rack.

Description

Method and system for real-time dynamic composition of warehouse locations of any size

The present invention relates to a warehouse management technology, and in particular to a method and system for real-time dynamic composition of warehouse locations of any size.

A storage rack is a storage device that is mainly used to facilitate users to store a variety of items. As enterprises develop and products diversify, warehouse management becomes more complex, so automated and optimized warehousing operations are particularly important.

Most of the existing warehouse management systems use manual labor to determine the storage location on the storage rack, and then manually register the location number into the system. However, the manual search for warehouse locations results in low efficiency, high error rates, and poor real-time updates in warehousing operations. Therefore, skilled warehousing and logistics personnel are required to effectively carry out the process of warehousing and taking out objects. In addition, due to the large number of types of objects (such as composite materials, medical materials), different sizes, large changes in the number of incoming and outgoing warehouses, and limited storage space, the existing warehouse management system cannot pre-configure warehouse locations, making warehousing operations increasingly complex. difficulty. If storage locations are to be configured in advance, a large amount of storage space will be wasted due to extreme specifications of items. In view of this, how to solve the above-mentioned conventional problems and deficiencies is really eagerly anticipated by the public, and it is also the goal and direction that relevant industry players must work hard to develop breakthroughs.

Therefore, the object of the present invention is to provide a method and system for real-time and dynamic formation of storage locations of any size, which divides the racks into multiple storage compartments with the same storage compartment size, and extracts the storage compartments from the storage compartments stored on the warehouse management platform based on the object size. Some of these bins are automatically selected from the number, and then the scanning device determines the most suitable storage location based on whether some of these bins are located in the preset location, thereby improving the utilization of the storage space on the rack, and can dynamically compose any order in real time. Size storage locations to place objects, thereby speeding up warehousing operations and reducing error rates in warehousing operations.

According to an embodiment of the present invention, a method of real-time and dynamically forming a warehouse location of any size is provided, which is used to determine an optimal warehouse location corresponding to an object and a preset location. The method of dynamically forming a warehouse location of any size in real time includes a step of obtaining the object size, a step of selecting a warehouse number, and a step of confirming the warehouse location. The object size obtaining step includes a warehouse management platform scanning the object through a scanning device to obtain the object size of the corresponding object. The warehouse management platform stores the plurality of storage compartment numbers of the plurality of storage compartments of a rack according to the sequential coding and the plurality of storage compartment sizes of these storage compartments. The warehouse management platform selects the warehouse compartment numbers from which the warehouse management platform selects the warehouse compartment numbers whose sum of dimensions is greater than or equal to the object size, and then the warehouse management platform transmits the warehouse compartment numbers. from the beginning Point number and an initial end point number to the scanning device. The storage grid confirmation step is to scan the equipment to confirm whether the sequentially coded parts between the initial starting point number and the initial end point number correspond to the preset positions to generate a confirmation result, and determine the optimal storage location based on the confirmation result.

Other examples of the aforementioned implementation are as follows: the aforementioned warehouse management platform may further store an object size table, and the object size obtaining step may further include an object number generation step and an object size search step. The object number generation step is for the scanning device to scan the object to generate an object number, and then transmit the object number to the warehouse management platform. The object size search step is for the warehouse management platform to search the object size of the corresponding object from the object size table based on the object number.

Other examples of the foregoing implementation are as follows: the foregoing method of real-time and dynamically forming a warehouse location of any size may further include a warehousing step and a warehousing step. The warehousing step is to place the items in the optimal storage location. The initial starting point number and the initial ending point number form an initial location number. The object number and initial location number are stored in one of the databases of the warehouse management platform. In the outbound step, the warehouse management platform receives a picking number from the scanning device and searches the picking location number corresponding to the picking number from the database based on the picking number. The warehouse management platform transmits the picking location number to the scanning device.

Other examples of the foregoing implementation are as follows: the foregoing warehouse management platform can further store storage status data corresponding to each warehouse number. The warehousing status data is an empty warehouse status or a full warehouse status, and the warehouse number selection step may further include an empty warehouse screening step and a size configuration step. The short warehouse screening step is for the warehouse management platform to filter out the warehouse status data from these warehouse numbers as follows: A short position number group for short position status. The size configuration step is that the warehouse management platform allocates some of the warehouse numbers from the empty warehouse number group that the sum of the dimensions of these warehouses is greater than or equal to the size of the object.

Other examples of the foregoing implementation are as follows: each of the foregoing bins may be further provided with a bin tag. In the storage grid confirmation step, when the confirmation result is that some of these storage compartments correspond to the preset locations, the scanning device determines that some of these storage compartments are the optimal storage locations; and when the confirmation result is that some of these storage compartments do not correspond to the preset locations , execute a warehouse location determination step. The step of determining the storage location is that the scanning device scans the labels of two of the two storage compartments located in the preset positions from the material rack to generate an optimal starting point number and an optimal end point number, and determines the optimal starting point number and the optimal end point number. The parts of these bins that are coded sequentially are the most suitable locations.

Other examples of the aforementioned implementation are as follows: each of the aforementioned Korg numbers can be set to at least three digits, and the at least three digits include a first digit and a last digit. The first digit of the optimal starting point number is sequentially encoded to the part corresponding to the first digit of the optimal end point number. These bins and the last digit of the optimal starting point number are sequentially encoded to the part corresponding to the last digit of the optimal end point number. These bins form the optimal bin. Bit.

According to another embodiment of the present invention, a system for dynamically forming a warehouse of any size in real time is provided, which is used to determine an optimal warehouse corresponding to an object and a preset location. The system that dynamically forms warehouse locations of any size in real time includes a material rack, a scanning device and a warehouse management platform. The material rack contains multiple bins. These storage compartments are provided with plural storage compartment numbers according to sequential coding, and these storage compartments have plural storage compartment sizes. Scanning devices store default locations and use them to scan objects. The warehouse management platform signal is connected to the scanning device and the object is scanned through the scanning device to obtain an object size of the corresponding object. The warehouse management platform stores these bin numbers and these bin sizes, and selects some of these bin numbers from these bin numbers where the sum of the bin sizes is greater than or equal to the object size. Some of these bin numbers include an initial start point number and an initial end point number, and the warehouse management platform transmits the initial start point number and the initial end point number to the scanning device. The scanning device confirms whether the sequentially coded parts of the storage bins between the initial starting point number and the initial ending point number correspond to the preset positions and generates a confirmation result, and determines the optimal storage location based on the confirmation result.

Other examples of the aforementioned implementation are as follows: the aforementioned warehouse management platform can further store an object size form. The scanning device scans the object to generate an object number and transmits the object number to the warehouse management platform. The warehouse management platform searches for the object size of the corresponding object from the object size table based on the object number.

Other examples of the aforementioned implementation are as follows: the aforementioned initial starting point number and initial ending point number may form an initial location number. When an object is placed in the most appropriate location, the object number and the initial location number are stored in one of the databases of the warehouse management platform; and when the warehouse management platform receives a picking number from the scanning device, the warehouse management platform automatically calculates the picking number based on the picking number. Search the picking location number corresponding to the picking number in the database, and the warehouse management platform transmits the picking location number to the scanning device.

Other examples of the aforementioned implementation are as follows: the aforementioned warehouse management platform can further store storage status data corresponding to each warehouse number, and the storage status data is an empty warehouse status or a full warehouse status. The warehouse management platform selects a short warehouse number group from these warehouse numbers whose warehousing status data is empty warehouse. From the empty warehouse number group, the warehouse management platform allocates some of the bin numbers whose sum of the bin sizes is greater than or equal to the object size.

Other examples of the foregoing implementation are as follows: each of the foregoing bins may be further provided with a bin tag. When the confirmation result is that some of these bins correspond to the preset locations, the scanning device determines that some of these bins are the most suitable locations; and when the confirmation result is that some of these bins do not correspond to the preset locations, a location determination is performed steps. The step of determining the storage location is that the scanning device scans the labels of two of the two storage compartments located in the preset positions from the material rack to generate an optimal starting point number and an optimal end point number, and determines the optimal starting point number and the optimal end point number. The parts of these bins that are coded sequentially are the most suitable locations.

Other examples of the aforementioned implementation are as follows: each of the aforementioned Korg numbers can be set to at least three digits, and the at least three digits include a first digit and a last digit. The first digit of the optimal starting point number is sequentially encoded to the part corresponding to the first digit of the optimal end point number. These bins and the last digit of the optimal starting point number are sequentially encoded to the part corresponding to the last digit of the optimal end point number. These bins form the optimal bin. Bit.

Several embodiments of the present invention will be described below with reference to the drawings. For the sake of clarity, many practical details will be explained together in the following narrative. However, it will be understood that these practical details should not limit the invention. That is to say, in some embodiments of the present invention, these practical details are not necessary. In addition, in order to simplify the drawings, some commonly used structures and components will be illustrated in a simple schematic manner in the drawings; and repeated components may be represented by the same numbers.

In addition, when a certain component (or unit or module, etc.) is "connected" to another component in this article, it may mean that the component is directly connected to the other component, or it may mean that one component is indirectly connected to the other component. , meaning that there are other elements between the said element and another element. When it is stated that an element is "directly connected" to another element, it means that no other elements are interposed between the element and the other element. Terms such as first, second, third, etc. are only used to describe different components without limiting the components themselves. Therefore, the first component can also be renamed the second component. Moreover, the combination of components/units/circuit in this article is not a combination that is generally known, conventional or customary in this field. Whether the component/unit/circuit itself is common knowledge cannot be used to determine whether its combination relationship is easily understood by those in the technical field. Usually it is easily accomplished by the knowledgeable.

Please refer to Figure 1. Figure 1 is a schematic diagram of a system 100 for real-time and dynamically forming warehouse locations of any size according to the first embodiment of the present invention. As shown in the figure, the system 100 for dynamically forming a warehouse of any size in real time is used to determine the optimal warehouse corresponding to the object 500 and the preset position P, and includes a material rack 200, a scanning device 300 and a warehouse management platform 400. The material rack 200 includes a plurality of storage compartments 210 . These bins 210 are provided with plural bin numbers according to sequential coding, and these bins 210 have plural bin sizes. The scanning device 300 stores a preset position P for scanning the object 500 . The warehouse management platform 400 is connected to the scanning device 300 via a signal and scans the object 500 through the scanning device 300 to obtain the object size of the corresponding object 500 . The warehouse management platform 400 may include a database 410, and the database 410 stores the bin numbers and the bin sizes. The warehouse management platform 400 selects some of the storage compartment numbers from the storage compartment numbers for which the sum of the storage compartment sizes is greater than or equal to the object size. Some of these bin numbers include an initial starting point number and an initial ending point number, and the warehouse management platform 400 transmits the initial starting point number and the initial ending point number to the scanning device 300 . The scanning device 300 confirms whether the sequentially coded parts of the bins 210 between the initial start number and the initial end number correspond to the preset position P and generates a confirmation result, and determines the optimal storage location based on the confirmation result. Thereby, the system 100 of the present invention that dynamically forms warehouse locations of any size in real time divides the racks 200 into these warehouse compartments 210, and automatically selects the warehouse compartment numbers stored in the database 410 of the warehouse management platform 400 based on the object size. Specifically, some of these storage compartments 210 are selected, and then the scanning device 300 determines the optimal storage location based on whether some of these storage compartments 210 are located in the preset position P, thereby improving the utilization of the storage space on the material rack 200 and enabling real-time dynamic Storage locations of any size can be formed to place 500 objects, thereby speeding up warehousing operations and reducing the error rate of warehousing operations. The following are detailed embodiments to illustrate the details of each of the above devices.

Please refer to Figure 1, Figure 2 and Figure 3 together. Figure 2 is a schematic flowchart illustrating a method 600 of real-time dynamically forming a warehouse of any size according to the second embodiment of the present invention; and Figure 3 This is a schematic diagram showing the initial storage location P1 and the optimal storage location P2 according to the second embodiment of the present invention. As shown in the figure, the method 600 for real-time dynamically forming a warehouse location of any size is applied to the system 100 for real-time dynamically forming a warehouse location of any size in Figure 1 and is used to determine the optimal warehouse location P2 corresponding to the object 500 and the preset position P, and includes The object size acquisition step S02, the bin number selection step S04, and the bin confirmation step S06.

The object size obtaining step S02 includes driving the warehouse management platform 400 to scan the object 500 through the scanning device 300 to obtain the object size of the corresponding object 500. The warehouse management platform 400 includes a database 410. The database 410 stores the bin number data 411 and the bin size data 412 . The storage compartment number data 411 may include plural storage compartment numbers 101, 102, 103, 104, 105, 106, 107, 108, 109 (101~109), plural storage compartment numbers 101, 102, 103, 104, 105, 106, 107, 108, 109 (101~109), which are provided in the plural storage compartments 210 of the material rack 200 according to the sequential coding. Column numbers 201, 202, 203, 204, 205, 206, 207, 208, 209 (201~209) and plural column numbers 301, 302, 303, 304, 305, 306, 307, 308, 309 (301~ 309). The bin size data 412 may include multiple bin sizes of the bins 210 .

Specifically, each shelf on the material rack 200 can be divided into a plurality of storage spaces with minimum units, and each storage space is a space above a single compartment 210 for storing objects. For example, the board length and depth of each layer board of the present invention can be 135 centimeters (cm) and 60 cm respectively. Each layer of board can be divided into 9 compartments 210 according to the board length; in other words, the width and depth of each compartment 210 can be 15 cm and 60 cm respectively (that is, the size of one compartment). In other embodiments, each layer of boards can be cut according to the board length and depth at the same time, so the present invention is not limited to the number of bins on each layer of boards. In addition, the scanning device 300 can be a bar code scanner (Bar Code Scanner) or a handheld smart device with a display interface, and is used to scan the object label 510 attached to the object 500 . The object tag 510 may be a one-dimensional barcode (1D Barcode) or a two-dimensional barcode (2D Barcode), but the invention is not limited thereto.

The database 410 of the warehouse management platform 400 can further store an object size table 413, and the object size table 413 records multiple object numbers and their corresponding object sizes. In addition, the object size obtaining step S02 may further include an object number generating step S022 and an object size searching step S024. The object number generating step S022 is to drive the scanning device 300 to scan the object tag 510 on the object 500 to generate the object number 310, and then transmit the object number 310 to the warehouse management platform 400. The object size search step S024 drives the warehouse management platform 400 to search the object size corresponding to the object 500 from multiple object numbers in the object size table 413 according to the object number 310. In the second embodiment, the object 500 may be a cube whose length, width and height are all 40 cm (i.e. the size of the object).

The bin number selection step S04 includes driving the warehouse management platform 400 to select some bins from the bin numbers 101 to 109, 201 to 209, and 301 to 309 for which the sum of the dimensions of the bins is greater than or equal to the object size. numbers 101~109, 201~209, 301~309, and then drives the warehouse management platform 400 to transmit some of the initial start point numbers and initial end point numbers in these warehouse numbers 101~109, 201~209, 301~309 to the scanning device 300 . In detail, since the size of object 500 requires a warehouse with a width of more than 40 cm for storage, the warehouse management platform 400 selects the storage space corresponding to the storage compartment numbers 201, 202, and 203 (201~203) from the storage compartment number data 411. Three storage spaces of 210 are used as the initial storage location P1. As shown in Figure 3, the initial storage location P1 contains three storage compartments 210, which means that the initial storage location P1 has a total width of 45 cm (that is, the total width of the three storage compartments). In particular, the warehouse management platform 400 will select the frontmost storage compartment number 201 from the storage compartment numbers 201 to 203 corresponding to the initial storage location P1 as the initial starting point number, and select the storage compartment number 203 at the end as the initial starting point number. The initial end point number is then composed of the initial start point number and the initial end point number to form the initial location number 420, where the digital coding system of the initial location number 420 can be 201203. The warehouse management platform 400 then transmits the initial storage location number 420 to the scanning device 300, so that the warehousing logistics personnel can view the digital code of the initial storage location number 420 through the display interface on the scanning device 300.

In addition, the database 410 of the warehouse management platform 400 can further store the warehouse status data 414 corresponding to each warehouse number 101~109, 201~209, and 301~309. The warehousing status data 414 can be an empty warehouse status or a full warehouse status. The bin number selection step S04 may further include a short bin selection step S042 and a size allocation step S044. The empty warehouse screening step S042 is to drive the warehousing management platform 400 to filter the storage status data 414 of each warehouse number 101~109, 201~209, 301~309 from the warehouse numbers 101~109, 201~209, 301~309 as empty warehouses. Status short position number group. As shown in Figure 3, since the storage compartment numbers 101, 102, 103, 104, 105, 106 (101~106) on the first floor and the storage compartment numbers 201~203 on the second floor No objects are placed, which means that the storage status data 414 corresponding to the storage compartment numbers 101~106 and 201~203 are all empty warehouses. Therefore, the warehouse management platform 400 filters out the storage compartment numbers 101~106 and 201~203 as the empty warehouse numbers. group. The size configuration step S044 is to drive the warehouse management platform 400 to configure the warehouse numbers 101 to 106 and 201 to 203 of some of the warehouses whose total size is greater than or equal to the object size of the object 500 from the empty warehouse number group. In the second embodiment, the warehouse management platform 400 selects three storage compartments 210 with storage compartment numbers 201 to 203 that meet the object size of the object 500 as the initial storage location P1. In other embodiments, the warehouse management platform can also select other bin numbers that can meet the size of the object as the initial location.

Next, the storage compartment confirmation step S06 is to drive the scanning device 300 to confirm the three sequentially coded numbers between the initial starting point number (i.e., storage compartment number 201) and the initial end point number (i.e., storage compartment number 203) in the initial storage location number 420. A confirmation result is generated based on whether the storage grid 210 corresponds to the preset position P, and the optimal storage location P2 is determined based on the confirmation result. It should be noted that the preset position P can be stored in the scanning device 300 and is an area set on the material rack 200 based on other objects having the same object size as the object 500; in short, on the material rack 200 , the storage space adjacent to the preset position P will store other objects of the same size as object 500. In other embodiments, warehousing logistics personnel can configure the preset positions on the racks according to the on-site storage space and operate the scanning device to determine the optimal storage location.

The scanning device 300 confirms whether the three storage compartments 210 of the initial storage location P1 and sequentially coded storage compartment numbers 201 to 203 are located in the preset position P and generates a confirmation result. When the confirmation result is that three storage compartments 210 with storage compartment numbers 201 to 203 correspond to the preset position P (that is, the initial storage location P1 is within the preset position P), the scanning device 300 determines that there are storage compartments 201 to 203. The three storage compartments 210 of 203 are the optimal storage locations, and the warehousing step S08 is directly executed; and when the confirmation result is that the three storage compartments 210 with storage compartment numbers 201 to 203 do not correspond to the default location P (i.e., the initial storage location P1 (not within the preset position P), first execute the storage location determination step S10, and then execute the storage step S08.

In addition, each storage compartment 210 can be further provided with a storage compartment label. For example, the three storage compartments 210 with storage compartment numbers 201 to 203 in the third figure are respectively provided with storage compartment labels L201, L202, and L203, and all of them can be It is a one-dimensional barcode or a two-dimensional barcode. As can be seen from Figure 3, since the initial warehouse location P1 of the second embodiment is not located within the preset location P, the warehouse location determination step S10 is first performed, which drives the scanning device 300 to scan the preset locations from the material rack 200 respectively. Two of the two storage compartments 210 in the position P are labeled to generate the optimal starting point number and the optimal ending number, and determine the sequentially coded part between the optimal starting point number and the optimal ending number. These storage compartments 210 are the optimal storage location P2. . In detail, the first three storage compartments 210 in the default position P in Figure 3 are respectively provided with storage compartment numbers 101, 102, and 103 (101~103), and are respectively provided with storage compartment labels L101, L102, and L103. . First, the scanning device 300 scans the bin label L101 located at the front end of the preset position P to set the bin number 101 as the optimal starting point number. Since the object 500 only needs 3 storage compartments 210 to be put into storage, the scanning device 300 continuously scans the storage compartment label L103 located in the preset position P to set the storage compartment number 103 as the optimal end point number, and determines the storage compartment number 101 The three storage compartments 210 coded in sequence between the storage compartment number 103 and the storage compartment number 103 are the optimal storage locations P2. The scanning device 300 combines the optimum starting point number and the optimum end point number into the optimum location number 320, where the digital coding system of the optimum location number 320 may be 101103. The scanning device 300 then transmits the optimal location number 320 back to the warehouse management platform 400. Furthermore, each container 210 may be further provided with at least one indicator (not otherwise labeled), such as a light-emitting diode (LED). In the storage location determination step S10, when the scanning device 300 scans the storage compartment label L101, the indicator corresponding to the storage compartment number 101 lights up. When the scanning device 300 scans the storage compartment label L103, all indicators in the three storage compartments 210 corresponding to the sequentially coded storage compartment numbers 101 to 103 light up, so that warehousing and logistics personnel can follow the positions of these indicators. To place object 500 in the optimal location P2.

The warehousing step S08 in Figure 2 includes steps S082, S084, and S086. Step S082 is "Place the object in the optimal storage location", which is to place the object 500 in the optimal storage location P2. Step S084 is "Complete the warehousing operation". After the object 500 has been placed in the optimal storage location P2, the scanning device 300 is driven to return a warehousing completion command to the warehouse management platform 400. Step S086 is "Save the object number and location number to the database", which drives the warehouse management platform 400 to store the object number 310 and the optimal location number 320 to the database 410 according to the warehousing completion instruction. It is also worth mentioning that step S082 in the warehousing step S08 can be performed by a robot arm coupled with a conveyor belt or manual transportation. The robot arm and the conveyor belt signal are connected to the warehouse management platform 400 and controlled by the warehouse management platform 400 . In other embodiments, if the confirmation result is that the initial location is within the preset location, then the "object number and location number are stored in the database" in the warehousing step drives the warehouse management platform to store according to the warehousing completion instruction. The object number and initial location number are sent to the database.

Please refer to Figure 4. Figure 4 is a schematic diagram illustrating the optimal warehouse location P3 according to the method of real-time dynamic formation of warehouse locations of any size according to the third embodiment of the present invention. In the third embodiment, the size of the object exceeds the height between each layer on the rack, so multiple storage compartments on at least two layers need to be selected as the optimal storage location. Specifically, the material rack of the present invention can be composed of a plurality of brackets, a plurality of laminates and a fixed plate on one side (not shown separately). One side of each layer board is connected to the side fixing plate, and the plurality of slots of each layer board are detachably connected to each other. In addition, each kug number of the present invention can be set to at least three digits, and the at least three digits can include a first digit and a last digit. As shown in Figure 4, the optimal storage location P3 includes 9 storage compartments, which are respectively equipped with storage compartment numbers 101~103, 201~203 and storage compartment numbers 301, 302, and 303 (301~303). These nine warehouses are respectively equipped with warehouse labels L101, L102, and L103, warehouse labels L201, L202, and L203, and warehouse labels L301, L302, and L303. The first code of Coorg number 101 is 1, and the last code of Coorg number 101 is 1, and so on to Coorg numbers 102, 103, 201~203, 301~303. In the storage location determination step, the scanning device scans the storage compartment label L101 from the material rack to set the storage compartment number 101 as the optimal starting point number and scans the storage compartment label L303 to set the storage compartment number 303 as the optimal end point number, and sets the optimal storage compartment number 303 as the optimal end point number. The starting point number and the optimal end point number form the optimal location number (i.e. 101303). It is worth noting that the sequence of the first number (i.e. 1) of the kug number 101 is coded to the sequence of the number of kugs corresponding to the first number (i.e. 3) of the kug number 303 and the sequence of the last number (i.e. 1) of the kug number 101 The multiple bins corresponding to the suffix number (i.e. 3) of bin number 303 form the optimal bin location P3. Specifically, all warehouses whose first number is between 1 and 3 and all warehouses whose last code is between 1 and 3 will belong to the most suitable location P3.

Please refer to Figure 1 and Figure 5 together. Figure 5 is a schematic flowchart illustrating the outbound step S12 of the method of real-time and dynamically forming a warehouse location of any size according to the fourth embodiment of the present invention. As shown in the figure, the method of real-time dynamically forming a warehouse location of any size in the fourth embodiment is applied to the system 100 of real-time dynamically forming a warehouse location of any size in Figure 1, and may further include a warehouse out step S12. The shipping step S12 includes steps S122, S124, S126, and S128. Step S122 is "receiving the picking number", which drives the scanning device 300 to scan the picking list to generate the picking number, and the warehouse management platform 400 receives the picking number from the scanning device 300 . Step S124 is "Search for the picking location number", which drives the warehouse management platform 400 to search for the picking location number corresponding to the picking number from the database 410 based on the picking number, and the warehouse management platform 400 transmits the picking location number. The number is sent to the scanning device 300, so that the warehousing and logistics personnel can check the picking location number through the display interface on the scanning device 300. Step S126 is "Complete the outbound operation", which is to drive the scanning device 300 to return an outbound completion command to the warehouse management platform 400 after the object 500 has been picked up from at least one warehouse 210 corresponding to the picking location number. Step S128 is "update database", which drives the warehouse management platform 400 to update the database 410 according to the warehousing completion instruction, which indicates that the picking location number has been deleted from the database 410 and represents the aforementioned corresponding picking location number. At least one KRG 210 is in short position.

It can be seen from the above embodiments that the present invention has the following advantages: first, it can automatically configure some of these storage compartments that can meet the size of the object and use them as initial storage locations, thereby speeding up warehousing operations. Secondly, when the initial storage location does not correspond to the preset location, the scanning device can also be used to scan the storage labels on the racks to dynamically form a storage location of any size to place objects in real time, thereby reducing the error rate in warehousing operations. Thirdly, since the material racks are divided into multiple compartments with the same compartment size, regardless of the type of object, size, and quantity of items entering and exiting the warehouse, the optimal storage location for the corresponding object and the preset location can be determined, thereby increasing material consumption. Utilization of shelf storage space.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention. Anyone skilled in the art can make various modifications and modifications without departing from the spirit and scope of the present invention. Therefore, the protection of the present invention is The scope shall be determined by the appended patent application scope.

100: A system that can dynamically form warehouse locations of any size in real time 101,102,103,104,105,106,107,108,109,201,202,203,204,205,206,207,208,209,301,302,303,304,305,306,307,308,309:Korg number 200: Material rack 210:Korg 300: Scanning device 310:Object number 320: Optimum location number 400:Warehouse management platform 410:Database 411:Korg number information 412:Korg size information 413:Object size form 414: Warehousing status data 420: Initial location number 500:Object 510:Object tag 600: A method to dynamically form a warehouse location of any size in real time S02: Steps to obtain object size S022: Object number generation steps S024: Object size search steps S04: Steps for selecting the Kugel number S042: Short position screening steps S044: Size configuration steps S06: Kugel confirmation steps S08: Storage steps S082, S084, S086, S122, S124, S126, S128: Steps S10: Storage location determination steps S12: Outbound steps L101, L102, L103, L201, L202, L203, L301, L302, L303: Kugel label P:Default position P1: Initial location P2, P3: Optimal location

Figure 1 is a schematic diagram of a system for real-time and dynamic formation of warehouse locations of any size according to the first embodiment of the present invention; Figure 2 is a schematic diagram of a system for real-time and dynamic formation of warehouse locations of any size according to the second embodiment of the present invention. Flow chart of the method; Figure 3 is a schematic diagram showing the initial storage location and the optimal storage location according to the second embodiment of the present invention; Figure 4 is a schematic diagram illustrating the optimal warehouse location according to the method of real-time dynamic formation of warehouse locations of any size according to the third embodiment of the present invention; and Figure 5 is a schematic flowchart illustrating the outbound step of the method of real-time and dynamically forming a warehouse location of any size according to the fourth embodiment of the present invention.

600: A method of real-time dynamic composition of warehouse locations of any size

S02: Steps to obtain object size

S022: Object number generation steps

S024: Object size search steps

S04: Steps for selecting the Kugel number

S042: Short position screening steps

S044: Size configuration steps

S06: Kugel confirmation steps

S08: Storage steps

S082, S084, S086: Steps

S10: Storage location determination steps

Claims (10)

A method of real-time dynamically forming a warehouse location of any size, which is used to determine an optimal warehouse location corresponding to an object and a preset location. The method of dynamically forming a warehouse location of any size in real time includes the following steps: an object size acquisition step, including A warehouse management platform scans the object through a scanning device to obtain an object size corresponding to the object, wherein the warehouse management platform stores a plurality of storage compartments of a material rack that are provided with a plurality of storage compartment numbers and the storage compartments in sequence. It has a plurality of storage compartment sizes; a storage compartment number selection step includes the warehouse management platform selecting a part of the storage compartment numbers from the storage compartment numbers whose summed size is greater than or equal to the object size. , and then the warehouse management platform transmits an initial start number and an initial end number of some of the warehouse numbers to the scanning device; and a warehouse confirmation step, in which the scanning device confirms the initial start number and the initial end number. Whether the storage compartments that are coded in sequence correspond to the preset location will generate a confirmation result, and the optimal storage location will be determined based on the confirmation result; among them, each storage compartment is further equipped with a storage compartment label. When the confirmation The result is that when the sequentially coded parts of the bins between the initial start number and the initial end number do not correspond to the preset positions, a storage location determination step is performed. The storage location determination step is based on the scanning device scanning the data from the rack. Scan two of the bins and two of the bin tags located in the preset position to generate an optimal starting point number and an optimal end point number, and determine the sequential coding between the optimal starting point number and the optimal end point number. Some of these Coorgs are the most suitable Storage location; wherein, each storage unit number is set to at least three digits, and the at least three digits include a first code and a last code, and the first code of the optimal starting point number is sequentially coded to the first code of the optimal end number. The corresponding parts of the bins and the suffix code of the optimal starting point number are sequentially coded to the parts of the bins corresponding to the suffix code of the optimal end number to form the optimal bin location. The method for dynamically forming a warehouse of any size in real time as described in request item 1, wherein the warehouse management platform further stores an object size form, and the object size acquisition step further includes: an object number generation step, which is scanned by the scanning device. The object generates an object number, and then transmits the object number to the warehouse management platform; and an object size search step is for the warehouse management platform to search for the object size corresponding to the object from the object size table based on the object number. The method of dynamically forming a warehouse location of any size in real time as described in request item 2 further includes: a warehousing step, which is to place the object in the most suitable warehouse location, wherein the initial starting point number and the initial end point number form an initial location number. , the object number and the initial location number are stored in a database of the warehouse management platform; and an outbound step is when the warehouse management platform receives a picking number from the scanning device and extracts the material from the database based on the picking number. Search for one of the picking location numbers corresponding to the picking number, and the warehouse management platform transmits the picking location number. number to the scanning device. The method of dynamically forming a warehouse of any size in real time as described in request item 1, wherein the warehouse management platform further stores warehouse status data corresponding to each warehouse number, and the warehouse status data is an empty warehouse status or a full warehouse status, and The warehouse number selection step further includes: a short warehouse screening step, in which the warehouse management platform selects a short warehouse number group whose warehouse status data is a short warehouse status from the warehouse management platform; and a size configuration step, in which the warehouse management platform selects a short warehouse number group from the warehouse numbers. The warehouse management platform allocates some warehouse numbers from the empty warehouse number group whose total size is greater than or equal to the size of the object. The method for dynamically forming a warehouse location of any size in real time as described in request item 1, wherein in the warehouse confirmation step, when the confirmation result is the parts coded in sequence between the initial starting point number and the initial end point number When the storage bins correspond to the preset location, the scanning device determines the sequentially coded parts of the storage bins between the initial starting point number and the initial end point number as the optimal storage location. A system for real-time and dynamic formation of warehouse locations of any size, which is used to determine the most suitable warehouse location corresponding to an object and a preset location. The system for real-time dynamic formation of warehouse locations of any size includes: a material rack, including a plurality of storage compartments, These storage compartments are provided with plural storage compartment numbers according to sequential coding, and these storage compartments have plural storage compartment sizes; a scanning device that stores the preset position and is used to scan the object; and a warehouse management platform that is connected to the scanning device via a signal and scans the object through the scanning device to obtain an object size corresponding to the object, and the warehouse management platform stores the These warehouse grid numbers and these warehouse grid sizes are selected, and some of these warehouse grid numbers are selected from these warehouse grid numbers for which a total size of these warehouse grid sizes is greater than or equal to the size of the object, and some of these warehouse grid numbers are selected Containing an initial starting point number and an initial end point number, the warehouse management platform transmits the initial starting point number and the initial end point number to the scanning device; wherein, the scanning device confirms the order between the initial starting point number and the initial end point number. In the coding part, a confirmation result is generated to determine whether the bins correspond to the preset location, and the optimal bin location is determined based on the confirmation result; among them, each bin is further equipped with a bin label. When the confirmation result is in the When the sequentially coded parts between the initial starting point number and the initial end point number do not correspond to the preset positions, a storage location determination step is performed. The scanning device scans the locations in the rack respectively. Two of the bins and two of the bin tags in the preset position are used to generate an optimal starting point number and an optimal end point number, and determine the sequentially coded portions of the bins between the optimal starting point number and the optimal end point number. The grid is the most suitable location; among them, the number of each warehouse is set to at least three digits, and the at least three digits include a first code and a last code, and the first code of the most suitable starting point number is sequentially coded to the most suitable end number. The parts of the bins corresponding to the first code and the tail code of the optimum starting point number are sequentially encoded to the tail code of the optimum end point number. The corresponding parts of the warehouse grids constitute the optimal warehouse location. The system of real-time dynamically forming warehouse locations of any size as described in request item 6, wherein the warehouse management platform further stores an object size form, and the scanning device scans the object to generate an object number and transmits the object number to the warehouse management Platform, the warehouse management platform searches for the object size corresponding to the object from the object size table based on the object number. A system for dynamically forming a warehouse location of any size in real time as described in request item 7, wherein the initial starting point number and the initial end point number form an initial location number. When the object is placed in the most suitable location, the object number and the initial location number is stored in a database of the warehouse management platform; and when the warehouse management platform receives a picking number from the scanning device, the warehouse management platform searches for the matching number from the database based on the picking number. The picking number is one of the picking location numbers, and the warehouse management platform transmits the picking location number to the scanning device. As described in request item 6, the system of real-time and dynamically composed warehouse locations of any size is provided, wherein the warehouse management platform further stores warehouse status data corresponding to each warehouse number, and the warehouse status data is an empty warehouse status or a full warehouse status. The warehouse management platform filters out the warehouse status data from the warehouse numbers as follows: A short warehouse number group in a short warehouse state; and the warehouse management platform allocates some of the warehouse compartment numbers from the short warehouse number group whose total size of the warehouse compartments is greater than or equal to the object size. The system of real-time and dynamically forming warehouse locations of any size as described in request item 6, wherein when the confirmation result is the parts coded in sequence between the initial start point number and the initial end point number, the bins correspond to the preset location At this time, the scanning device determines that the sequentially coded parts of the storage bins between the initial starting point number and the initial ending point number are the optimal storage locations.

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