CN117829725A - Goods-to-person picking system and method, medium and equipment for class A goods - Google Patents
Goods-to-person picking system and method, medium and equipment for class A goods Download PDFInfo
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- CN117829725A CN117829725A CN202311755069.0A CN202311755069A CN117829725A CN 117829725 A CN117829725 A CN 117829725A CN 202311755069 A CN202311755069 A CN 202311755069A CN 117829725 A CN117829725 A CN 117829725A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a goods-to-person picking system, a method, a medium and equipment for class A goods, which aim to solve the problem of batch picking of class A goods and effectively improve the overall picking operation efficiency by accelerating the order processing process. The goods-to-person picking system comprises dividing a warehouse into areas; fixing a goods shelf; a movable shelf; an order box; moving a sowing wall; a picking workstation; a pallet handling robot; an electronic tag device; a picking control system.
Description
Technical Field
The application relates to the field of logistics storage automation and computers, in particular to a system and a method for optimizing the picking of class A commodities based on fixed, movable shelves and movable distributing walls so as to implement goods-to-person picking, a computer readable storage medium and computer equipment.
Background
In the prior art, the ABC classification method (Activity Based Classification) is called an ABC classification inventory control method, and the main technical means is to make research and analysis to find out a "key minority" for important management. The key minority is the so-called class a commodity, and the other is the "general majority", namely class B and class C trademarks. The main energy of the classification method is put on the class A products, so that the effect of twice the effort can be obtained. The classification principle is to divide according to the importance degree of the commodity: class a commodity, which is about 10% in proportion, is a critical minority in which the annual consumption amount is about 70% although the proportion is small, and requires important management; class B commodity accounts for about 20%, the annual consumption amount ratio is about 20%, so that the variety and the amount ratio are basically the same, and conventional management is carried out; class C commodity, the proportion of varieties is about 70%, but the annual consumption amount proportion is about 10%; the number of the class C commodities is large, a large amount of management cost is occupied, but the annual consumption amount is small, and only general management is needed.
The key elements of the Kiva (Amazon Robotics/Kiva Systems) solution are a mobile robot and a mobile pallet, on which a plurality of pallets are provided to store different types of goods, the mobile robot being able to carry picked goods by lifting the mobile pallet. Because a shelf is provided with a plurality of goods shelves, each goods shelf may store different types of goods, the system needs to prompt the pickers about the goods and the number of the goods to be picked on the corresponding shelf, as shown in the following prior picking operation process shown in fig. 1. The movable pallet is then robotically transported to the next picking station or pallet staging. And (5) repeating the steps circularly until order picking is completed.
In the Kiva solution, each movable pallet stores a plurality of different products, and the robot transports the movable pallet to the picking station along with other products on the pallet in addition to the products required by the order. Therefore, there are inevitably invalid goods in each handling process, and such invalid handling results in a corresponding decrease in ordered goods for each shelf handling and requires more robots to simultaneously perform handling work; in addition, when two or more commodities exist on one movable shelf and need to go to different picking stations, the movable shelf can only go to different picking stations in sequence, so that waiting time between different picking stations is prolonged, and overall picking operation efficiency is reduced.
The prior art adopts a goods-to-person picking scheme, is based on the reduction of personnel moving and searching steps, and is used for directly conveying goods to a picking station, and the prior method is only suitable for class B and class C goods. For the class A commodity, the order is relatively high, the flow is large, the operation mode is more suitable for batch operation, the class A commodity cannot be stored on a movable goods shelf in a large quantity, and the advantages of the existing goods-to-person picking method are not reflected.
In view of this, the present patent application is specifically filed.
Disclosure of Invention
The application provides a goods-to-person picking system, a method, a medium and equipment for class A goods aiming at the problems and the demands of the prior art, so as to solve the problem of batch picking of class A goods, and effectively improve the overall picking operation efficiency by accelerating the order processing process.
To achieve the above design objective, the goods-to-person picking system for class a commodities includes:
dividing a warehouse into fixed goods shelf areas according to areas, and arranging a plurality of fixed goods shelves; the movable goods shelf area is provided with a plurality of movable goods shelves; the picking workstation is used for picking the order commodities; the packaging and warehouse-out area is used for quality inspection, packaging and warehouse-out of orders;
the fixed goods shelf is arranged in the fixed goods shelf area and is used for storing class A goods;
the movable goods shelf is arranged in the temporary storage area of the movable goods shelf and used for storing class B goods and class C goods;
the order box is used for placing a grid of the movable separating wall so as to store the commodities of the corresponding order picked out;
the movable separating wall is used for storing the selected orders, and the goods shelf transfer robot completes the moving operation;
the picking workstation is provided with a workbench, a computer end, a code scanning gun and other devices, and the computer end comprises a picking operation interface for prompting the position of a goods lattice where an order commodity is located, commodity information and quantity;
the goods shelf carrying robot is used for carrying the assembled movable goods shelf to each operation area or movable goods shelf temporary storage area in the warehouse and transferring the selected movable distributing wall to the next selecting link;
the electronic tag device is used for prompting the positions and the number of manual picking operations;
and the picking control system is used for providing order distribution, moving goods shelf carrying and commodity picking.
Further, the fixed goods shelves are provided with a plurality of goods places, each goods place is provided with a unique fixed goods place identification code, and each fixed goods shelf is provided with a unique fixed goods shelf identification code.
Further, the movable shelves have a plurality of cargo positions, each of the movable cargo positions is provided with a unique movable cargo position identification code, and each of the movable shelves is provided with a unique movable shelf identification code.
Further, the electronic tag device is arranged at a manual operation station of the picking station and is overlapped with a grid of the movable order distribution wall.
Based on the goods-to-person picking system for the class A goods, the application simultaneously provides the following goods-to-person picking method for the class A goods:
counting according to the order quantity according to historical order information before the commodity is put on shelf, wherein the commodity accounting for 10% of the top of the quantity ranking is the class A commodity, the commodity accounting for 20% -30% of the top of the quantity ranking is the class B commodity, and the commodity accounting for 70% of the quantity ranking is the class C commodity;
performing ABC classification calculation and ranking before the commodity is put on shelf according to the day;
ABC type commodity division is carried out every day according to the previous statistical result, and related type commodities are stored in corresponding goods shelf areas according to the classification result; wherein, the A-class commodity is stored in a fixed goods shelf area, and the B-class commodity and the C-class commodity are stored in a movable goods shelf area;
when different types of commodities are put on shelves, the system records warehouse-in batches;
after the ex-warehouse order is issued to a warehouse, the system splits the order according to the stock information and the batch information; for example, some order lines may be picked together with movable shelf areas in fixed shelf areas before completion;
if the order contains the class A commodity, splitting the order into a class A order and a class BC order;
firstly, finishing the picking of class B and class C commodities to a movable separating wall at a class BC picking workstation, and transferring the movable separating wall to a class A picking workstation by a shelf transfer robot if an order is not finished, so as to further finish the picking of class A commodities;
and transferring the selected movable multicast wall to a packing and delivery area to finish the subsequent delivery operation.
Further, the sorting control system stores the commodity ABC sorting result, the commodity ABC sorting result is updated and replaced every day, and the updated content is based on the statistical calculation result of the historical order information before the commodity is put on shelf.
Further, the electronic tag device is arranged on one side of a manual operation station of the picking workstation and coincides with the grid of the movable distributing wall so as to prompt the positions and the number of manual picking operations.
The present application proposes a computer readable storage medium storing a computer program which, when executed by a processor, implements the goods-to-person picking method for class a goods described above.
The application proposes a computer device comprising a processor; and a memory storing a computer program which, when executed by the processor, implements the steps of the goods-to-person picking method for class a goods described above.
In summary, the present application has the following advantages and beneficial effects:
1. the automatic goods shelf sorting device effectively solves the problem of goods shelf carrying efficiency in the robot automatic warehouse, and the movable goods shelf is dynamically assembled to enable goods shelf carrying to be more efficient, reduce carrying of unnecessary goods, improve overall sorting operation efficiency, and particularly pointedly solve the problem of sorting efficiency of class A goods.
2. Through letting the promotion of goods shelves transport efficiency at every turn, can reduce the demand quantity to movable robot by a wide margin, be favorable to alleviating the traffic condition of on-the-spot robot when reducing the running cost, further promote efficiency, saved logistics equipment's investment and equipment maintenance cost correspondingly, promoted the whole robustness of system.
3. The length, width and height of the movable goods shelf are limited by manual picking and the requirement of safety in manual carrying, so based on the application, the class A goods are stored in the fixed goods shelf without being limited by the movable goods shelf, and the movable goods shelf has higher one-time carrying efficiency on the basis of considering the advantages of the existing Kiva scheme, and is favorable for improving the overall picking efficiency.
4. The movable shelves which are assembled dynamically can effectively reduce mutual waiting among different picking workstations, and the picking efficiency is remarkably improved.
Drawings
FIG. 1 is a schematic flow diagram of a prior art Kiva scheme process;
FIG. 2 is a flow chart of a method of goods-to-person picking for class A items described herein;
FIG. 3 is a schematic view of class B, class C commodity picking;
FIG. 4 is a schematic view of class A item picking;
FIG. 5 is a schematic view of a mobile multicast wall;
FIG. 6 is a schematic view of a picking gantry;
fig. 7 is a flowchart of an order splitting process performed by the application.
Detailed Description
In order to further illustrate the technical means adopted by the present application to achieve the preset design purpose, the following preferred embodiments are presented in conjunction with the accompanying drawings.
In the following description, specific details are set forth in order to provide a thorough understanding of the present application. This application may be carried out in a variety of other ways than those herein set forth, and similar generalizations may be made by those skilled in the art without departing from the spirit of the application. Therefore, the present application is not limited by the specific embodiments disclosed below.
The commodity sorting system for the class A commodity is applied to commodity sorting operation in the warehouse logistics field, and comprises the processes of replenishment, loading, sorting, checking, quality inspection, packing, delivery and the like in a warehouse, wherein an automatic and intelligent movable robot is used in the processes to implement a commodity sorting scheme. The movable goods shelves are conveyed to the picking workstation through the robot, and operations such as picking, putting on shelves, checking and the like are completed manually, so that the operation efficiency of the warehouse can be greatly improved, operators do not need to walk and search goods in the warehouse in a large range, and the operation time is concentrated on the picking operation.
A goods-to-person picking system for class a goods comprising the following means:
dividing the warehouse into different areas, including a fixed shelf area, and arranging a plurality of fixed shelves; the movable goods shelf area is provided with a plurality of movable goods shelves; the picking workstation is used for picking the order commodities; the packaging and warehouse-out area is used for quality inspection, packaging and warehouse-out of orders;
the fixed goods shelf is arranged in the fixed goods shelf area and is used for storing class A goods; the fixed goods shelves are provided with a plurality of goods places, each goods place is provided with a unique fixed goods place identification code, and each fixed goods shelf is provided with a unique fixed goods shelf identification code; as in the fixed shelves 201/202/203/204 of fig. 4, there are several sets of spaced apart, vertically stacked, single-cell bins for carrying class a commodities in a compact storage;
the movable goods shelf is arranged in the temporary storage area of the movable goods shelf and used for storing class B goods and class C goods; the movable goods shelf is provided with a plurality of goods places, each movable goods place is provided with a unique movable goods place identification code, and each movable goods shelf is provided with a unique movable goods shelf identification code; the movable shelves 101/102/103 as shown in FIG. 3 have a plurality of sets of spaced apart, vertically stacked, single-cell bins for carrying class B and class C products;
the order box is used for placing a grid of the movable separating wall so as to store the commodities of the corresponding order picked out;
the movable separating wall is used for storing the selected orders, and the goods shelf transfer robot completes the moving operation; mobile multicast walls 104/105 as in fig. 3 and 4 for storing a pick order box for a person, with Shan Gege openings in a multi-layered matrix arrangement; as shown in fig. 5, a mobile divider wall has a plurality of apertures, numbered 121 through 132, each of which houses an order box that is bound to an order activated by a picking station, and the order box is manually released from the order after completion or full picking to replace an empty order box;
the picking workstation is provided with a workbench, a computer end, a code scanning gun and other devices, and the computer end comprises a picking operation interface for prompting the position of a goods lattice where an order commodity is located, commodity information and quantity;
the shelf transfer robot is used for transferring the assembled movable shelf to each operation area or movable shelf temporary storage area in the warehouse and transferring the selected movable multicast wall to the next picking link;
the electronic tag device is arranged at a manual operation station of the picking station and is overlapped with the grid openings of the movable order distribution wall, and is used for prompting the positions and the quantity of manual picking operation; if the picking action is represented by red lights and the quantity, the order is ended by flashing green lights;
the picking control system is used for providing functions of order distribution, movable goods shelf transportation, commodity picking, movable multicast wall transportation and the like, and providing abnormal orders, abnormal commodity processing and inquiry tool and report capability.
The goods-to-person picking method for the class A goods is characterized in that the goods-to-person picking operation of orders is achieved through the mode that the class A goods are stored by the movable separating wall and the fixed goods shelf, and the defect that an existing goods-to-person picking system cannot be suitable for the class A goods is overcome.
According to the goods-to-person picking method for the class A goods, statistics is carried out according to historical order information before the goods are put on shelf and the number of the orders, wherein the goods accounting for 10% of the top of the number ranking are the class A goods, the goods accounting for 20% -30% of the top of the number ranking are the class B goods, and the goods accounting for 70% of the number ranking are the class C goods;
performing ABC classification calculation and ranking before the commodity is put on shelf according to the day;
ABC type commodity division is carried out every day according to the previous statistical result, and related type commodities are stored in corresponding goods shelf areas according to the classification result; wherein, the A-class commodity is stored in a fixed goods shelf area, and the B-class commodity and the C-class commodity are stored in a movable goods shelf area;
when different types of commodities are put on shelves, the system records warehouse-in batches;
after the ex-warehouse order is issued to a warehouse, the system splits the order according to the stock information and the batch information; for example, some order lines may be picked together with movable shelf areas in fixed shelf areas before completion;
if the order contains the class A commodity, splitting the order into a class A order and a class BC order;
firstly, finishing the picking of class B and class C commodities to a movable separating wall at a class BC picking workstation, and transferring the movable separating wall to a class A picking workstation by a shelf transfer robot if an order is not finished, so as to further finish the picking of class A commodities;
and transferring the selected movable multicast wall to a packing and delivery area to finish the subsequent delivery operation.
Further, the sorting control system stores the commodity ABC sorting result, the commodity ABC sorting result is updated and replaced every day, and the updated content is based on the statistical calculation result of the historical order information before the commodity is put on shelf. That is, the sorting result per day is not fixed, and the subsequent picking, inventory checking and tally operation is not affected.
Further, the electronic tag device is arranged on one side of a manual operation station of the picking workstation and coincides with the grid openings of the movable distributing wall so as to prompt the positions and the number of manual picking operations; if the picking action is indicated by red light + quantity, the order end is indicated by flashing green light.
The goods-to-person picking system and the method for the class A goods are applied, and specifically the following implementation process is given:
stage one, splitting orders;
after the order arrives at the picking control system, the control system splits one or two orders according to the order line information; the system definition P1 part designates class A commodities, and the P2/P3 part designates class B commodities and class C commodities respectively;
stage two, picking BC commodities;
the control system distributes Order2, 2 mobile distributing walls 104/105 are arranged in the BC sort picking workstation, each mobile distributing wall is provided with 12 grid openings, wherein the grid openings 121 are empty, and the Order2 is bound to the grid openings 121;
according to the sorting strategies of first-in first-out, minimum inventory, optimal matching and the like, the control system respectively generates corresponding sorting tasks from the positions where the order commodities are stored in the movable goods shelves; if the movable goods shelf 102 is carried to a picking workstation by a goods shelf carrying robot, prompting the person to pick goods;
the prompt information of the control system comprises 5 pieces of commodity P2 from a bin Inv2 of the movable goods shelf 102, namely finishing the picking of class B commodities; picking up 7 goods P3 from the bin Inv3 of the movable goods shelf 102, namely finishing the picking up of the C-class goods;
manually delivering the class B and class C commodities to the grid openings 121 of the movable distributing wall 104 according to the prompt information of the electronic tag device on the sorting bench frame shown in fig. 5, wherein 12 commodities are taken in total; the system prompts to continue to pick other class A commodities;
the shelf transfer robot transfers the movable separating wall 104 to a class A commodity sorting workstation;
sorting class A commodities;
after moving the distribution wall 104 in place, the control system activates and distributes Order1;
at this time, the sorting of the class B/C commodity is completed in the grid port 121 of the movable distribution wall 104 in the class a commodity sorting workstation;
the picking control system prompts that 4 items of class A commodity P1 are delivered to the grid port 121 from the fixed goods shelf 201, and the electronic tag device prompts related business port information and quantity;
manually delivering 4 pieces of class A commodity P1 into a grid port 121 of the mobile multicast wall 104, and turning on a green light by an electronic tag device at the grid port 121 to show that an order is completed;
stage four, order commodity warehouse-out
The shelf transfer robot transfers the movable distribution wall 104 to the packaging area or the distribution area, and the process ends.
The present embodiment also provides a computer-readable storage medium storing a computer program which, when executed by a processor, implements the above-described goods-to-person picking method for class a commodities. Including but not limited to R0M, RAM, magnetic or optical disks, and the like.
The present embodiment also provides a computer apparatus including a processor; and a memory storing a computer program which, when executed by the processor, implements the steps of the goods-to-person picking method for class a goods described above. Including but not limited to a desktop computer, a notebook computer, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a wearable device, or a combination of any of these devices.
The foregoing is a detailed description of the invention, but the scope of the invention is not limited thereto, and any changes and modifications within the skill of the art without departing from the spirit and scope of the present invention are intended to be included within the scope of the invention.
Claims (9)
1. A goods-to-person picking system for class a goods, characterized by: comprises a plurality of steps of the method, including the steps of,
dividing a warehouse into fixed goods shelf areas according to areas, and arranging a plurality of fixed goods shelves; the movable goods shelf area is provided with a plurality of movable goods shelves; the picking workstation is used for picking the order commodities; the packaging and warehouse-out area is used for quality inspection, packaging and warehouse-out of orders;
the fixed goods shelf is arranged in the fixed goods shelf area and is used for storing class A goods;
the movable goods shelf is arranged in the temporary storage area of the movable goods shelf and used for storing class B goods and class C goods;
the order box is used for placing a grid of the movable separating wall so as to store the commodities of the corresponding order picked out;
the movable separating wall is used for storing the selected orders, and the goods shelf transfer robot completes the moving operation;
the picking workstation is provided with a workbench, a computer end, a code scanning gun and other devices, and the computer end comprises a picking operation interface for prompting the position of a goods lattice where an order commodity is located, commodity information and quantity;
the goods shelf carrying robot is used for carrying the assembled movable goods shelf to each operation area or movable goods shelf temporary storage area in the warehouse and transferring the selected movable distributing wall to the next selecting link;
the electronic tag device is used for prompting the positions and the number of manual picking operations;
and the picking control system is used for providing order distribution, moving goods shelf carrying and commodity picking.
2. The goods-to-person picking system for category a goods of claim 1 wherein: the fixed goods shelves are provided with a plurality of goods places, each goods place is provided with a unique fixed goods place identification code, and each fixed goods shelf is provided with a unique fixed goods shelf identification code.
3. The goods-to-person picking system for category a goods of claim 1 wherein: the movable goods shelves are provided with a plurality of goods places, each movable goods place is provided with a unique movable goods place identification code, and each movable goods shelf is provided with a unique movable goods shelf identification code.
4. The goods-to-person picking system for category a goods of claim 1 wherein: the electronic tag device is arranged at a manual operation station of the picking station and is overlapped with a grid of the movable order distribution wall.
5. A method of goods-to-person picking using a goods-to-person picking system for class a goods as claimed in any one of claims 1 to 4, wherein:
counting according to the order quantity according to historical order information before the commodity is put on shelf, wherein the commodity accounting for 10% of the top of the quantity ranking is the class A commodity, the commodity accounting for 20% -30% of the top of the quantity ranking is the class B commodity, and the commodity accounting for 70% of the quantity ranking is the class C commodity;
performing ABC classification calculation and ranking before the commodity is put on shelf according to the day;
ABC type commodity division is carried out every day according to the previous statistical result, and related type commodities are stored in corresponding goods shelf areas according to the classification result; wherein, the A-class commodity is stored in a fixed goods shelf area, and the B-class commodity and the C-class commodity are stored in a movable goods shelf area;
when different types of commodities are put on shelves, the system records warehouse-in batches;
after the ex-warehouse order is issued to a warehouse, the system splits the order according to the stock information and the batch information; for example, some order lines may be picked together with movable shelf areas in fixed shelf areas before completion;
if the order contains the class A commodity, splitting the order into a class A order and a class BC order;
firstly, finishing the picking of class B and class C commodities to a movable separating wall at a class BC picking workstation, and transferring the movable separating wall to a class A picking workstation by a shelf transfer robot if an order is not finished, so as to further finish the picking of class A commodities;
and transferring the selected movable multicast wall to a packing and delivery area to finish the subsequent delivery operation.
6. The method of on-person picking for category a items of claim 5, wherein: the sorting control system stores the commodity ABC sorting result, updates and substitutes every day, and the updated content is based on the statistical calculation result of the historical order information before the commodity is put on shelf.
7. The method of on-person picking for category a items of claim 5, wherein: the electronic tag device is arranged on one side of a manual operation station of the picking workstation and coincides with a grid of the movable distributing wall so as to prompt the positions and the number of manual picking operations.
8. A computer-readable storage medium storing a computer program, characterized by: the computer program, when executed by a processor, implements the goods-to-person picking method for a class a commodity of any of claims 5 to 7.
9. A computer device, characterized by: comprises a processor; a memory storing a computer program which, when executed by a processor, implements the steps of the goods-to-person picking method for a class a commodity of any of claims 5 to 7.
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