Efficient and intelligent warehouse shelf loading and unloading method

Abstract

The invention relates to the technical field of overseas warehouse system loading and unloading operation, in particular to an efficient intelligent warehouse loading and unloading method which comprises a loading strategy and an unloading strategy, the loading strategy comprises reference historical records, system recommendation and customer requirements, and the unloading strategy comprises a path priority principle, a storage location priority principle and other strategies. The system solves the problems that the existing logistics industry depends on manual cargo information recording and management, the efficiency is low, data input errors, cargo misplacement and cargo disorder and dispersion easily occur, the planning and utilization of the storage space are lack of intelligent means, the space is idle or the cargo accumulation is unreasonable, and the working efficiency is high. And resource waste is caused.

Description

Technical Field

[0001] The present invention relates to the technical field of up and down operations of overseas warehouse systems, and specifically refers to an efficient and intelligent method for warehouse putaway and picking Background Art

[0002] With the increase in the volume of overseas warehouse order processing, the up and down data that the warehouse needs to operate every day also increases accordingly. The efficiency of warehouse putaway and picking has become an important factor affecting the rapid and efficient circulation of customer goods in overseas warehouses;

[0003] I. General status of related technologies in this field: Manually process up and down data, and perform corresponding putaway and picking operations according to manual memory or offline data;

[0004] II. Specific solutions of existing technologies: Print up and down lists, and manually complete putaway and picking actions through memory or offline records;

[0005] In the current booming development of the logistics industry and the general trend of enterprise digital transformation, the traditional warehouse management model has exposed many drawbacks; relying on manual recording and management of goods information is not only inefficient, but also extremely prone to problems such as data entry errors, misplacement of goods, and scattered goods; in the process of finding goods, due to the lack of a scientific positioning system and management logic, it often consumes a large amount of time and manpower;

[0006] At the same time, the planning and utilization of warehousing space lack intelligent means, and there are often situations of idle space or unreasonable stacking of goods, resulting in waste of resources; especially in the face of order peaks such as e-commerce shopping festivals, the traditional outbound picking method, due to relying on manual experience and inefficient processes, cannot meet the demand for rapid distribution, thereby affecting customer satisfaction and enterprise competitiveness; therefore, it is urgent to develop a set of efficient and intelligent warehouse putaway and picking technologies. Summary of the Invention

[0007] The technical problem to be solved by the present invention is that the existing logistics industry relies on manual recording and management of goods information, which is not only inefficient, but also extremely prone to problems such as data entry errors, misplacement of goods, and scattered goods, and the planning and utilization of warehousing space lack intelligent means, and there are often situations of idle space or unreasonable stacking of goods, resulting in waste of resources.

[0008] To solve the above problems, the technical solution adopted by the present invention is an efficient and intelligent method for warehouse putaway and picking, including a putaway strategy and a picking strategy. The putaway strategy includes referring to historical records, system recommendations, and customer requirements, and the picking strategy includes the path priority principle, the location priority principle, and other strategies.

[0009] As a further solution of the present invention: The reference historical record includes data analysis and intelligent recommendation. Data analysis can automatically collect and analyze historical data such as the shelving locations, storage durations, and inbound and outbound frequencies of past goods; Based on the historical data, the intelligent recommendation enables the system to intelligently recommend the shelving locations of goods.

[0010] As a further solution of the present invention: The system recommendation includes goods attribute analysis, shelf stability, and space optimization. Goods attribute analysis means that the system considers attributes such as the weight, volume, and category of goods, as well as the current occupancy situation of warehouse locations, and uses intelligent algorithms to generate shelving suggestions; For shelf stability, to ensure the stability of the shelves, the system recommends allocating heavier goods to the lower shelves and lighter goods to the higher shelves; For space optimization, for goods with larger volumes, the system recommends placing them in locations with open space to make full use of the warehouse space and reduce interference between goods.

[0011] As a further solution of the present invention: Customer requirements include personalized needs, instruction parsing, and integration; Personalized needs mean that the system supports customers to customize the shelving locations of some goods according to their own business requirements; Instruction parsing and integration means that after the system receives and parses customer instructions, it integrates them into the shelving strategy.

[0012] As a further solution of the present invention: The path priority principle includes route planning and handling difficulty assessment. Route planning means that the system plans the shortest picking route according to the storage locations of goods and the warehouse layout; Handling difficulty assessment means that the system considers the passing routes of handling equipment and the handling difficulty of goods, and preferentially selects the goods with the shortest path and the most convenient handling for removal from the shelves.

[0013] As a further solution of the present invention: The location priority principle includes shelf life management and special customer requirements. Shelf life management means that the system sets the priorities of specific locations; Special customer requirements mean that according to the special requirements of customers, the system designates that the goods in certain locations are preferentially removed from the warehouse.

[0014] As a further solution of the present invention: The other strategies include batch number management and emergency order processing. Batch number management means that the system supports removal from the shelves according to the batch numbers of goods, and the batches that are put into storage first are preferentially removed from the warehouse; Emergency order processing means that for emergency orders, the system gives priority to arranging the removal operation to ensure that the orders can be delivered on time.

[0015] The advantages of the present invention compared with the prior art are as follows: (1) Dramatic leap in operation efficiency: Precise loading and unloading strategies, combined with automated equipment and intelligent systems, significantly shorten the inbound and outbound time of goods, improving the throughput capacity of the warehouse. In the face of a large number of orders, it can respond quickly to ensure timely delivery of goods; (2) Significant cost reduction: Reducing manual intervention and lowering labor costs; The optimized loading and unloading strategies avoid repeated handling and ineffective movement of goods, reducing logistics costs; Reasonable inventory management reduces the capital occupancy cost caused by inventory backlogs; (3) Precise inventory management: Real-time updating of inventory data, combined with intelligent loading and unloading strategies, ensures the accuracy of inventory quantity and location, effectively avoiding out-of-stock and backlogs, and improving inventory turnover; (4) Efficient utilization of warehousing space: Intelligent loading based on the characteristics and demands of goods makes full use of every inch of space in the warehouse, increasing the storage density of the warehouse and the storage capacity. Detailed implementation manners

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] The present invention provides a technical solution: to solve the existing problems proposed in the background technology.

[0018] The present invention includes a loading strategy and an unloading strategy. The loading strategy includes referring to historical records, system recommendations, and customer requirements. The unloading strategy includes the path priority principle, the storage location priority principle, and other strategies.

[0019] Referring to historical records includes data analysis and intelligent recommendations. Data analysis can automatically collect and analyze historical data such as the loading locations, storage durations, and inbound and outbound frequencies of past goods through the system; Based on historical data, the intelligent recommendation system can intelligently recommend the loading locations of goods; For example, for goods with frequent outbound shipments, it is preferred to recommend storage locations close to the shipping outlet; For goods with a long storage time and are not easy to handle, they are arranged in relatively remote but larger areas.

[0020] System recommendations include analysis of goods attributes, shelf stability and space optimization. The analysis of goods attributes means that the system considers attributes such as the weight, volume, and category of goods, as well as the current occupancy of storage locations in the warehouse, and uses intelligent algorithms to generate shelving suggestions. For shelf stability, to ensure the stability of the shelves, the system recommends allocating heavier goods to the lower shelves and lighter goods to the higher shelves. For space optimization, for goods with a larger volume, the system recommends placing them in storage locations with open space to make full use of the warehouse space and reduce interference between goods; for example, allocating heavier goods to the lower shelves to ensure shelf stability; placing goods with a larger volume in storage locations with open space.

[0021] Customer requirements include personalized needs, instruction parsing and integration. Personalized needs mean that the system supports customers to customize the shelving positions of some goods according to their own business needs. Instruction parsing and integration mean that after the system receives and parses customer instructions, it integrates them into the shelving strategy. When goods arrive at the warehouse and are ready to be shelved, the system comprehensively considers three factors: historical records, system recommendations, and customer requirements, generates the optimal shelving plan, guides the staff to complete the shelving operation, and automatically records the shelving information to update the inventory database.

[0022] The path priority principle includes route planning and handling difficulty assessment. Route planning means that the system plans the shortest picking route according to the storage location of the goods and the warehouse layout. Handling difficulty assessment means that the system considers the passing route of handling equipment and the handling difficulty of goods, and preferentially selects the goods with the shortest path and the most convenient handling for removal from the shelves; by calculating the distance from each storage location to the shipping outlet and the handling difficulty, preferentially select the goods with the shortest path and the most convenient handling for removal from the shelves to reduce handling time and energy consumption.

[0023] The storage location priority principle includes shelf life management and special customer requirements. Shelf life management means that the system sets the priority of specific storage locations. Special customer requirements mean that according to the special requirements of customers, the system designates the goods in certain storage locations to be preferentially shipped out; when the system generates a removal order, it gives priority to considering the goods in these storage locations with high priority.

[0024] Other strategies include batch number management and emergency order processing. Batch number management means that the system supports removal from the shelves according to the batch numbers of goods, and the batches that are put into storage first are preferentially shipped out. Emergency order processing means that for emergency orders, the system gives priority to arranging removal operations to ensure that the orders can be delivered on time; for example, removing goods from the shelves according to the batch numbers of goods, and the batches that are put into storage first are preferentially shipped out; or according to the urgency of the order, giving priority to arranging the removal of the goods corresponding to the emergency order. When a removal instruction is issued, the system automatically generates a removal order according to the selected removal strategy, clearly lists the goods to be removed and their storage locations, and guides the staff or automated handling equipment to complete the removal operation.

[0025] The workflow of this application is as follows:

[0026] 1. Order Receipt: Customer Places an Order: The customer places an order to purchase goods through online or offline channels.

[0027] Order Review: The system reviews the order to ensure the accuracy and legality of the order information.

[0028] Generate Picking List: After the review is passed, the system generates a picking list based on the order information and prepares for subsequent sorting and packing operations.

[0029] 2. Sorting and Packing: Sort Goods: The system guides the staff or automated sorting equipment to pick the goods from the warehouse according to the information on the picking list.

[0030] Pack and Box: The picked goods go through processes such as packing and boxing and are prepared for transportation and distribution.

[0031] 3. Transportation and Distribution: Select Transportation Mode: The system selects a suitable transportation mode (such as road, railway, air, etc.) based on factors such as the nature, quantity, and destination of the goods.

[0032] Dispatch Transportation Vehicles: The system dispatches suitable transportation vehicles to transport the goods from the warehouse to the destination.

[0033] Transportation Monitoring: During transportation, the system monitors the transportation status of the goods in real-time to ensure the safe and timely arrival of the goods.

[0034] 4. Goods Collection: Receive Goods: At the destination, the system guides the staff to receive the goods and conduct an inspection.

[0035] Inspect Goods: Conduct an inspection on the received goods in terms of quantity, quality, etc. to ensure that the goods are consistent with the order information.

[0036] 5. Warehouse Management: Goods Inbound: Store the qualified goods in the warehouse, and the system updates the inventory information.

[0037] Inventory Management: During the warehousing process, the system manages the inventory in real-time, including monitoring the inventory quantity and adjusting the inventory location, etc.

[0038] Outbound Operation: When the goods need to be out of the warehouse, the system guides the staff to perform the outbound operation according to the order information.

[0039] 6. Information Feedback: Track Goods Status: The system tracks the status of the goods in real-time, including the in-transit status, arrival status, etc.

[0040] Feedback to Customer: Timely feedback the status information of the goods to the customer to improve customer satisfaction.

[0041] The above description of the present invention and its embodiments is not restrictive, and the actual structure is not limited thereto. In general, if those of ordinary skill in the art are inspired by it and, without departing from the gist of the present invention, design similar structural forms and embodiments to this technical solution without creative efforts, they shall fall within the protection scope of the present invention.

Claims

1. An efficient and intelligent warehouse loading and unloading method, characterized by: It includes listing strategy and delisting strategy. The listing strategy includes reference to historical records, system recommendations and customer requirements, and the delisting strategy includes path priority principle, location priority principle and other strategies.

2. According to the efficient intelligent warehouse loading and unloading method of claim 1, it is characterized by: The reference historical records include data analysis and intelligent recommendations. The data analysis can automatically collect and analyze historical data such as the shelf location, storage time, and frequency of entry and exit of past goods through the system; the intelligent recommendation is based on historical data, and the system can intelligently recommend the shelf location of goods.

3. According to the efficient intelligent warehouse loading and unloading method of claim 1, it is characterized by: The system recommendations include cargo attribute analysis, shelf stability and space optimization. Cargo attribute analysis is that the system considers the cargo's weight, volume, category and other attributes, as well as the current occupancy of warehouse space, and uses intelligent algorithms to generate shelving recommendations. In order to ensure shelf stability, the system recommends that heavier cargo be allocated to the bottom shelves and lighter cargo be placed on higher levels. For space optimization, for larger cargo, the system recommends placing it in open storage locations to make full use of warehouse space and reduce interference between cargo.

4. According to the efficient intelligent warehouse loading and unloading method of claim 1, it is characterized by: The customer requirements include personalized needs, instruction parsing and fusion; personalized needs are that the system supports customers to customize the shelf locations of some goods according to their own business needs; instruction parsing and fusion are that after the system receives and parses customer instructions, it integrates them into the shelf strategy.

5. According to the efficient intelligent warehouse loading and unloading method of claim 1, it is characterized by: The path priority principle includes route planning and handling difficulty assessment. Route planning is that the system plans the shortest picking route based on the storage location and warehouse layout of the goods. Handling difficulty assessment is that the system considers the passage path of the handling equipment and the handling difficulty of the goods, and gives priority to the goods with the shortest path and the most convenient handling for delisting.

6. The efficient intelligent warehouse loading and unloading method according to claim 1 is characterized by: The storage location priority principle includes shelf life management and customer special requirements. The shelf life management is that the system sets the priority of specific storage locations; the customer special requirements are that according to the special requirements of customers, the system specifies that the goods in certain storage locations are given priority for shipment.

7. The efficient intelligent warehouse loading and unloading method according to claim 1 is characterized by: The other strategies include batch number management and urgent order processing. Batch number management means that the system supports the delisting of goods according to their batch numbers, and the batches that enter the warehouse first are given priority for shipment. Urgent order processing means that for urgent orders, the system gives priority to delisting operations to ensure that the orders can be delivered on time.