Stereoscopic warehouse warehouse-in goods allocation screening method based on equalization strategy and popularity matching

Abstract

The invention discloses a stereoscopic warehouse warehouse-in goods allocation screening method based on an equilibrium strategy and heat matching, and the method comprises the following steps: obtaining goods allocation position information and conveying equipment operation parameters before the warehouse-in goods allocation is distributed, calculating the warehouse-in time of each goods allocation, predicting the future delivery amount information through the historical material delivery amount and the planned delivery amount information, and carrying out the screening of the warehouse-in goods allocation. Carrying out goods allocation popularity classification and material popularity classification by adopting an ABC classification method; and when goods allocation warehousing is carried out, the material size, storage balance and task balance conditions are considered, the current optimal warehousing roadway is screened out, and the optimal goods allocation is matched and screened in the roadway according to the goods allocation popularity and the material popularity. The material warehouse-in and warehouse-out time is effectively shortened, and the warehouse-in and warehouse-out operation efficiency of the stereoscopic warehouse

Description

Technical Field

[0001] The invention relates to warehousing logistics, and in particular to a method for selecting incoming cargo locations in a stereoscopic warehouse based on a balance strategy and heat matching. Background Art

[0002] With the improvement of economic level and the rapid development of logistics industry, the requirements for the timeliness of material storage and distribution are constantly increasing. Since stereoscopic warehouses have the advantages of improving space utilization, improving logistics efficiency, and reducing operating costs, many enterprises and units have established stereoscopic warehouses in multiple links of product production and circulation. In recent years, the informationization and intelligentization level of stereoscopic warehouses has developed rapidly.

[0003] In order to improve logistics efficiency, shortening the time of warehousing and outbound operations is a key goal of warehousing optimization. The rationality of cargo location selection in the stereoscopic warehouse is a key factor affecting warehousing efficiency and delivery efficiency. In the entire stereoscopic warehouse area, there will be multiple storage areas or lanes, and each storage area or lane has special automated logistics handling equipment, such as stackers, roller conveyors, multi-layer shuttles, etc. Materials with the same item code should be stored evenly in the warehouse area. When the item material needs to be shipped out in large quantities, the material movable units (License Plate Number, LPN) in different storage areas or lanes can be selected to mobilize multiple logistics handling equipment to the greatest extent to improve the efficiency of shipping out. If the item coded materials are concentrated in a certain lane and need to be shipped out in large quantities, the shipping operation can only be carried out through the logistics handling equipment in the lane, which will reduce the speed of shipping out of the material and affect the delivery efficiency.

[0004] In actual production scenarios, the warehousing and logistics links need to allocate cargo spaces to incoming materials in turn after receiving the incoming material information. It is impossible to obtain the incoming material information that has not been collected in advance, and it is difficult to apply the optimization algorithm to the real operation scenario. Therefore, it is necessary to collect historical information, predict the delivery and receipt data, set up a classification mechanism and cargo space allocation plan, and realize the rapid allocation of incoming cargo spaces. Summary of the invention

[0005] The purpose of the present invention is to provide a method for screening incoming cargo locations in a stereoscopic warehouse based on a balance strategy and heat matching in order to solve the above-mentioned problems, thereby effectively shortening the time for materials to enter and exit the warehouse and improving the efficiency of the in-and-out operations of the stereoscopic warehouse.

[0006] The technical solution of the present invention is as follows:

[0007] A method for selecting storage locations in a stereoscopic warehouse based on a balance strategy and heat matching comprises the following steps:

[0008] Before allocating storage locations, obtain storage location information and conveying equipment operating parameters, calculate the time required for storage at each storage location, predict future shipment information based on historical material shipments and planned shipments, and use the ABC classification method to classify storage location heat and material heat;

[0009] When the cargo space is put into storage, the material size, storage balance and task balance conditions are taken into consideration to select the current optimal storage aisle, and the optimal cargo space is selected in the aisle based on the matching of cargo space temperature and material temperature.

[0010] Furthermore, the cargo space heat classification specifically includes the following steps:

[0011] The theoretical storage time of each cargo location is calculated based on the distance between each cargo location and the storage platform and the operating parameters of the transportation equipment;

[0012] Sort the warehousing operation time from long to short, and divide the cargo locations into several different heat areas, such as high frequency, medium frequency and low frequency. According to the ABC classification method, the first 10% of resources are advantageous resources, which are Class A high heat, 10%-30% are Class B medium heat, and the last 70% are Class C low heat. The classification standards can be modified in the cargo location classification system.

[0013] Furthermore, the cargo space heat classification further includes the following steps:

[0014] For a transport device that moves materials from the warehouse entrance to the cargo location in both the vertical and horizontal directions, such as a stacker, the horizontal running time required to reach the cargo location is t1, and the vertical running time is t2. The warehouse entry operation time is:

[0015] t=MAX(t1,t2);

[0016] For the use of at least two transport devices to complete vertical and horizontal handling, such as multi-layer shuttles and elevators, the horizontal running time is t1 and the vertical running time is t2. The storage operation time is:

[0017] t=t1+t2.

[0018] Furthermore, the material heat classification specifically includes the following steps:

[0019] Through historical shipping and receiving records and future shipping and receiving plans, the LPN shipping and receiving volumes of the same item in the future are predicted. The ABC classification method is used to classify materials into Class A high-heat, Class B medium-heat, and Class C low-heat according to the shipping and receiving volumes, with a focus on Class A materials with large shipping volumes.

[0020] The top 10% of the material items in terms of receiving and sending volume can reach 70% of the total receiving and sending volume, and are classified as Class A; the top 10% to 30% of the material items in terms of receiving and sending volume can reach 20% of the total receiving and sending volume, and are classified as Class B; the remaining 70% of the material items only account for 10% of the total receiving and sending volume, and are classified as Class C. The classification standard is modified in the cargo location classification system;

[0021] By analyzing the trend of shipment volume changes and fluctuations in the sending and receiving volumes of each material, materials are classified based on the frequency of fluctuations, and are divided into Class X, Class Y, and Class Z. Materials with large fluctuations in sending and receiving volumes are classified into Class X, followed by Class Y, and materials with small fluctuations in sending and receiving volumes are classified into Class Z. The classification standards can be modified in the cargo location classification system.

[0022] Furthermore, the material heat classification needs to obtain the following data before classification:

[0023] Historical material shipments: Statistics on the LPN in and out quantity of each item material every day;

[0024] Material inventory: count the number of LPNs corresponding to each item in the current inventory;

[0025] Future material delivery plan: Receive the future delivery and receipt volume issued by the WMS system, and calculate the LPN quantity within the planning period based on the material package specification data of each item;

[0026] Current heat value and heat classification of each item material: The cargo allocation system records and saves the initial heat information of each item material;

[0027] ABC-XYZ classification standard parameters: Set the judgment parameters of ABC-XYZ classification in the background and clarify the classification standards.

[0028] Furthermore, before the material heat classification, the predicted future shipping and receiving volume results are processed by two methods: the shipping and receiving volume sorting accumulation method or the shipping and receiving frequency normalization method; the shipping and receiving volume sorting accumulation method specifically includes:

[0029] Sort each item material in descending order from high to low according to the shipment volume, and then calculate the cumulative shipment volume starting from the material ranked first. When the cumulative volume is greater than or equal to 70% of the total material shipment volume, this part of the material is classified as Class A high-heat material, and the item type accounts for about 10% of all types. The cumulative volume between 70%-90% is Class B medium-heat material, and the item type accounts for about 20% of all types. The rest are Class C low-heat materials, and the item types account for about 70% of all types.

[0030] Furthermore, the transmission and reception frequency normalization method specifically includes:

[0031] Normalize the shipment volume data, conduct ABC classification based on the normalized values, adopt the (0,1) normalization method to process the receipt and dispatch data, and proportionally convert the receipt and dispatch frequency into the (0,1) interval; traverse the shipment volume of each item, find the maximum value max and the minimum value Min, and use Max - Min as the normalization base for normalization processing. The formula is:

[0032]

[0033] Sort the calculation results in descending order from large to small, and classify them according to the set classification criteria. Materials with x’ > 0.7 are Class A with high heat, those with 0.7 ≥ x’ > 0.1 are Class B with medium heat, and those with x’ ≤ 0.1 are classified as Class C with low heat;

[0034] When classifying the fluctuations into XYZ categories, it is necessary to calculate the average value μ and variance σ of the monthly demand of each item of material. The calculation formulas are:

[0035]

[0036] Obtain the coefficient of variation CV of each item of material. The calculation formula is:

[0037]

[0038] According to the size of the coefficient of variation, combine the set XYZ classification criteria to classify the materials into Class X with high fluctuations, Class Y with medium fluctuations, and Class Z with low fluctuations. When CV ≤ 0.5, it is considered that the fluctuations are small and classified into Class X; when 0.5 < CV ≤ 1, it is considered that the fluctuations are moderate and classified into Class Y; when CV > 1, it is considered that the fluctuations are very large and classified into Class Z.

[0039] Furthermore, the automated storage and retrieval system is divided into a pallet storage area and a case storage area. When the goods are put into storage, the following steps are included:

[0040] According to the size of the goods, search for available empty storage locations in the storage area, and take the aisles with available empty storage locations as the alternative aisles for storage;

[0041] When screening the storage locations, consider the storage quantity of materials in each aisle, and screen out several aisles with less storage quantity as the alternative aisles to make the storage quantity in each aisle similar, so that multiple-aisle equipment can be mobilized during outbound;

[0042] Consider the number of unexecuted tasks in each aisle, and select the aisle with the fewest unexecuted tasks to make the number of tasks in each aisle similar and avoid excessive inbound tasks in a certain aisle, resulting in inbound congestion;

[0043] After selecting the inbound aisle, according to the matching relationship between the material heat and the storage location heat inside the aisle, screen out the empty storage location with the highest heat matching degree as the inbound storage location.

[0044] Furthermore, in the material heat classification, materials are divided into nine categories from AX to CZ; set an allocation adjustment cycle, regularly review the current materials in the warehouse, re-forecast the future receipt and delivery of all materials, and reclassify the materials according to the new forecast values; when a new item material appears, there is no historical receipt and delivery information, and the forecast information is inaccurate. First, set the material to BY category. When the data volume gradually accumulates, the material heat classification will be corrected in the next adjustment cycle; if the material was originally classified as AX, when the receipt and delivery volume decreases in the future and the classification rating is lowered, the heat classification will be changed; each time the heat is adjusted, it will only be adjusted to the adjacent level.

[0045] Furthermore, the cargo location screening of the pallet storage area includes the following steps:

[0046] Before optimizing the selection of cargo locations in the pallet warehouse area, statistics are collected on the storage conditions of different items in each lane and the current warehousing task volume of the stacker crane corresponding to each lane as data sources for storage balance and task balance.

[0047] When materials are put into storage, the WMS system needs to transmit the item and size information of the materials to be put into storage to the storage allocation system;

[0048] The cargo space allocation system compares the size information with the size of the empty cargo spaces in each lane, and selects the lanes with empty cargo spaces that can hold the current material as the candidate lanes for warehousing;

[0049] Query the storage information of the item in each lane, select the first x lanes with the least storage as candidate lanes, and further narrow the candidate range. The value of x can be modified in the storage location screening system;

[0050] When there are multiple deep storage locations, according to the column storage principle, the storage location with the same item as the material to be stored in the inner storage location is given priority;

[0051] Query the task volume of each alternative lane, select the lane with the least task volume as the entry lane, and achieve balanced entry.

[0052] Furthermore, the cargo location screening of the box storage area includes the following steps:

[0053] Filter fault layers, filter size unsatisfactory layers;

[0054] According to the classification of tasks to be executed at each layer, if the number of tasks exceeds the number of caches - 1, it is set B, and the others are set A;

[0055] First search set A, then sort the layers of set A by whether there is a car, and then sort the sorted results by the height match. The low priority sorting cannot disrupt the high priority sorting results, and a joint sorting is performed;

[0056] If there are vacancies, search for vacancies based on the size and popularity of the vacancies; otherwise, sort set B, and then search for vacancies in each layer in turn, and search for vacancies based on the size and popularity of the vacancies;

[0057] Output the storage location search results.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] A method for selecting incoming cargo locations in a stereoscopic warehouse based on a balance strategy and heat matching. Through information such as material size heat, warehouse storage structure, historical material shipments and planned shipments, the method can scientifically and rationally select incoming and outgoing cargo locations for incoming materials, shorten the time for incoming and outgoing operations in the stereoscopic warehouse, and improve the overall operation efficiency of the stereoscopic warehouse. In the future, the dynamic incoming cargo location selection process can be set more carefully by further considering information such as material production time and the number of single LPN packages. The idle time in the warehouse is short when there are fewer operations, and the tallying and stocking business is automatically generated to adjust the inventory structure. According to the heat and demand of different materials, the materials to be shipped out are prepared in advance to achieve rapid storage and retrieval of materials, further improving the efficiency of material entry and exit. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a flow chart of the pallet warehouse cargo location screening of the present invention.

[0061] Figure 2 The present invention is a flowchart of cargo location screening in the lane of the box warehouse. DETAILED DESCRIPTION

[0062] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0063] The features and performance of the present invention are further described in detail below in conjunction with the embodiments.

[0064] See also Figure 1 and Figure 2A method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching comprises the following steps:

[0065] Before allocating storage locations, obtain location information and conveying equipment operating parameters, predict future shipments based on historical and planned material shipments, and use the ABC classification method to classify storage location heat and material heat;

[0066] When the cargo space is put into storage, the material size, storage balance, task balance and other conditions are taken into consideration to select the current optimal storage aisle. In the aisle, the optimal cargo space is selected based on the matching of cargo space temperature and material temperature.

[0067] In order to improve the efficiency of receiving and sending materials in stereoscopic warehouses, materials are classified according to the principle of fixed storage based on delivery, material coding, size, and receiving and sending characteristics. The optimized storage locations are selected for the materials to be stored based on the inventory situation, the number of operations of each equipment, and other information. When allocating storage locations for a certain item, if the material has a high delivery frequency and a fast turnover, the material should be stored in the storage location in the high-heat area to reduce the time required for storage and improve the efficiency of storage. If the material has a low delivery frequency and a slow turnover, a storage location in a low-heat area should be allocated to avoid storing the material in a high-heat area, occupying efficient storage resources, and affecting the overall efficiency of receiving and sending. The storage locations and materials need to be classified by heat. The operating parameters of the automated logistics equipment and the location information of each storage location are collected to calculate the storage and warehousing time of each storage location. The storage location heat is classified according to the storage and warehousing time and the storage location size information, and the warehouse is divided into different heat areas. The storage location with a shorter access time has a higher heat. According to the predicted quantity of receiving and sending of materials, the greater the receiving and sending volume, the higher the heat. Filter heat matching cargo locations by cargo location and material heat values.

[0068] The specific steps of cargo space heat classification include:

[0069] The theoretical storage time of each cargo location is calculated based on the distance between each cargo location and the storage platform and the operating parameters of the transportation equipment;

[0070] Sort the warehousing operation time from long to short, and divide the cargo locations into several different heat areas, such as high frequency, medium frequency and low frequency. According to the ABC classification method, the first 10% of resources are advantageous resources, which are Class A high heat, 10%-30% are Class B medium heat, and the last 70% are Class C low heat. The classification standards can be modified in the cargo location classification system.

[0071] The cargo space heat classification also includes the following steps:

[0072] For a transport device that completes the vertical and horizontal transportation of materials from the storage entrance to the cargo location, such as a stacker, the horizontal running time required to reach the cargo location is t1, and the vertical running time is t2. The storage operation time is:

[0073] t=MAX(t1,t2);

[0074] For the use of at least two transport devices to complete the vertical and horizontal handling, such as a cargo elevator combined with a multi-layer shuttle, the horizontal running time is t1 and the vertical running time is t2. The storage operation time is:

[0075] t=t1+t2.

[0076] If there are cargo locations of various sizes in the aisle, in order to maximize the utilization of cargo location space while matching the heat, when classifying the cargo location heat, they should be classified and compared within the range of cargo locations of the same size to avoid screening out high-heat but larger cargo locations for heat matching when small and high-heat cargo locations are put into storage, thereby reducing the space utilization of the cargo locations.

[0077] Material heat classification specifically includes the following steps:

[0078] Classify the material popularity. Through historical shipping and receiving records and future shipping and receiving plans, predict the LPN shipping and receiving volume of the same item in the future. Use the ABC classification method to classify materials into Class A high popularity, Class B medium popularity, and Class C low popularity according to the shipping and receiving volume, with a focus on Class A materials with large shipping volumes.

[0079] According to common situations in the logistics field, the top 10% of material items can reach 70% of the total volume, and are classified as Class A; the top 10% to 30% of material items can reach 20% of the total volume, and are classified as Class B; the remaining 70% of material items only account for 10% of the total volume, and are classified as Class C. The classification standard is modified in the cargo location classification system;

[0080] By analyzing the trend of shipment volume changes over a period of time, analyzing the fluctuations in the sending and receiving volumes of each material, materials are classified based on the frequency of fluctuations, and are divided into Class X, Class Y, and Class Z; materials with large fluctuations in sending and receiving volumes are classified into Class X, followed by Class Y, and materials with small fluctuations in sending and receiving volumes are classified into Class Z. The classification standards can be modified in the cargo location allocation system.

[0081] Before material heat classification, the following data must be obtained:

[0082] Historical material shipments: Statistics on the LPN in and out quantity of each item material every day;

[0083] Material inventory: count the number of LPNs corresponding to each item in the current inventory;

[0084] Future material delivery plan: Receive the future delivery and receipt volume issued by the WMS system, and calculate the LPN quantity within the planning period based on the material package specification data of each item;

[0085] Current heat value and heat classification of each item material: The cargo allocation system records and saves the initial heat information of each item material;

[0086] ABC-XYZ classification standard parameters: Set the judgment parameters of ABC-XYZ classification in the background and clarify the classification standards.

[0087] The historical material delivery and receipt volume, the material future delivery and receipt plan volume, and the material inventory information are used as basic data to predict the future delivery and receipt volume of the material. The data is input into the prediction model to obtain the prediction results, and the material heat is classified according to the prediction data to improve the accuracy of the subsequent heat value calculation and heat classification.

[0088] Historical shipping and receiving data is an important data source for material shipping and receiving forecasts. In order to make the data results closer to the current time, the adoption weight is increased. For example, taking the current time as the 0 benchmark, the adoption weight of T-1 day data is 50%, the adoption weight of T-2 day data is 30%, and the adoption weight of T-3 day data is 20%. The longer the time from now, the smaller the data adoption weight, and finally the benchmark data of ABC classification is fitted.

[0089] Before material heat classification, the predicted future delivery and receipt volume results are processed by two methods: delivery and receipt volume sorting accumulation method or delivery and receipt frequency normalization method. The delivery and receipt volume sorting accumulation method specifically includes:

[0090] Sort each item material in descending order according to the shipment volume, and then calculate the cumulative shipment volume starting from the first-ranked material. When the cumulative volume is greater than or equal to 70% of the total material shipment volume, this part of the material is classified as Class A high-heat material, and the item type accounts for about 10% of all types. The cumulative volume between 70%-90% is Class B medium-heat material, and the item type accounts for about 20% of all types. The rest are Class C low-heat materials, and the item type accounts for about 70% of all types. This method obtains the material heat classification after sorting according to the shipment volume, quickly grasps the key materials, has high calculation efficiency, and good universality. As shown in the following table.

[0091] Table 1 Schematic diagram of cargo heat classification

[0092]

[0093]

[0094] The normalization method of transmitting and receiving frequencies specifically includes:

[0095] Normalize the shipment volume data, conduct ABC classification based on the normalized values, adopt the (0,1) normalization method to process the receipt and dispatch data, and proportionally convert the receipt and dispatch frequency into the (0,1) interval; traverse the shipment volume of each item, find the maximum value Max and the minimum value min, and use Max - Min as the normalization base for normalization processing. The formula is:

[0096]

[0097] Sort the calculation results in descending order from large to small, and classify them in combination with the set classification criteria. Materials with x’ > 0.7 are of high heat in category A, those with 0.7 ≥ x’ > 0.1 are of medium heat in category B, and those with x’ ≤ 0.1 are classified as low heat in category C;

[0098] When classifying the fluctuations into XYZ categories, it is necessary to calculate the average value μ and variance σ of the monthly demand of each item of material. The calculation formulas are:

[0099]

[0100] Obtain the coefficient of variation CV of each item of material. The calculation formula is:

[0101]

[0102] According to the size of the coefficient of variation, combine the set XYZ classification criteria to classify the materials into high - fluctuation category X, medium - fluctuation category Y, and low - fluctuation category Z. When CV ≤ 0.5, it is considered that the fluctuation is small and classified into category X; when 0.5 < CV ≤ 1, it is considered that the fluctuation is moderate and classified into category Y; when CV > 1, it is considered that the fluctuation is large and classified into category Z.

[0103] According to the classification in two dimensions, classify the materials into categories from AX to CZ, a total of 9 categories. The location allocation system sets the allocation adjustment cycle, regularly reviews the materials in the current warehouse, re - predicts the future receipt and dispatch situations of all materials, and re - classifies the materials according to the new prediction values. When a new item of material appears and there is no historical receipt and dispatch information and the prediction information is inaccurate, first set this material as category BY. When the data volume gradually accumulates, correct the heat classification of the material in the next adjustment cycle. If the original classification of the material is AX and the future receipt and dispatch volume decreases and the classification rating is lowered, the heat classification will change. Each time of adjustment, the heat only adjusts to the adjacent level, and category AX will not be directly lowered to category CZ to achieve smooth adjustment and avoid large - scale inventory structure adjustment operations due to excessive heat changes.

[0104] The three-dimensional warehouse is divided into a pallet warehouse area and a box warehouse area. The pallet warehouse area uses a stacker to pick up and put goods. The cargo storage type is a pallet, which is suitable for picking up and putting large batches of goods. The box warehouse area uses a roller conveyor and a multi-layer shuttle car to pick up and put goods. The cargo storage type is a carton or a warehouse turnover box after picking and sorting. It is suitable for picking up and putting small amounts of scattered materials. Different warehouse areas have different corresponding storage location screening and balancing strategies. The following steps are included when the cargo location is put into storage:

[0105] According to the size of the goods, search for available empty cargo spaces in the warehouse area, and select the aisles with available empty cargo spaces as the candidate aisles for storage, to ensure that the aisles selected later have available cargo spaces for storage;

[0106] The cargo location selection takes into account the storage volume of materials in each lane, and selects several lanes with less storage volume as alternative lanes, so that the storage volume of each lane is similar, so that multi-lane equipment can be mobilized when leaving the warehouse to achieve storage balance;

[0107] Consider the number of unexecuted tasks in each lane, select the lane with the least number of unexecuted tasks, make the number of tasks in each lane similar, avoid too many inbound tasks in a lane, and cause inbound congestion, so as to achieve task balance;

[0108] After selecting the entry lane, the empty storage location with the highest heat matching degree is selected as the entry storage location according to the material heat and storage location heat matching relationship in the lane. This realizes the optimization of entry storage location selection from the balanced strategy to the heat matching.

[0109] like Figure 1 As shown in the figure, the location selection of the pallet storage area includes the following steps:

[0110] Before optimizing the selection of cargo locations in the pallet warehouse area, statistics are collected on the storage conditions of different items in each lane and the current warehousing task volume of the stacker crane corresponding to each lane as data sources for storage balance and task balance.

[0111] When materials are put into storage, the WMS system needs to transmit the item and size information of the materials to be put into storage to the storage allocation system;

[0112] The cargo space allocation system compares the size information with the size of the empty cargo spaces in each lane, and selects the lanes with empty cargo spaces that can hold the current material as the candidate lanes for warehousing;

[0113] Query the storage information of the item in each lane, select the first x lanes with the least storage as candidate lanes, and further narrow the candidate range. The value of x can be modified in the storage location screening system;

[0114] When there are multiple deep storage locations, according to the column storage principle, the storage location with the same item as the material to be stored in the inner storage location is given priority;

[0115] Query the task volume of each alternative lane, select the lane with the least task volume as the entry lane, and achieve balanced entry.

[0116] In the selected aisle, the set of storage locations that can be stored is screened out according to the size of the incoming materials. The material temperature and the storage location temperature are matched according to the temperature information of each storage location and the incoming materials. Finally, the only incoming storage location is screened out, realizing temperature matching and storage location screening.

[0117] like Figure 2 As shown in the figure, the location screening of the box storage area includes the following steps:

[0118] Filter fault layers, filter size unsatisfactory layers;

[0119] According to the classification of tasks to be executed at each layer, if the number of tasks exceeds the number of caches - 1, it is set B, and the others are set A;

[0120] First search set A, then sort the layers of set A by whether there is a car, and then sort the sorted results by the height match. The low priority sorting cannot disrupt the high priority sorting results, and a joint sorting is performed;

[0121] If there are vacancies, search for vacancies based on the size and popularity of the vacancies; otherwise, sort set B, and then search for vacancies in each layer in turn, and search for vacancies based on the size and popularity of the vacancies;

[0122] Output the storage location search results.

[0123] The location selection in the box storage area is based on the location selection process in the pallet storage area. It is also necessary to count the number of pending warehousing tasks on each layer in each lane and the number of cached cargo positions in the layer docking area as the data source for layer task balance. The WMS system transmits the item and size information of the materials to be stored to the location allocation system. According to the storage status of the item in each lane and the number of pending warehousing tasks in each lane, the optimal warehousing lane is selected. In this lane, the set of empty cargo positions that can be stored is selected according to the size of the goods.

[0124] The box storage area uses multi-layer shuttles to pick up and put goods. A multi-layer shuttle needs to be responsible for picking up and putting goods on one or more layers. If there are too many tasks on a certain layer, the multi-layer shuttle is overloaded, and the goods cannot be transported to the layer connection port, and the storage entrance will be congested. However, if the tasks in the lane are scattered on different layers, the number of layer-changing tasks for the multi-layer shuttle will increase, and the long-term layer-changing task time will affect the normal operation of the multi-layer shuttle. Therefore, the number of storage tasks assigned to each layer should be considered to match the size of the buffer area before the connection port of each layer and the operating efficiency of the multi-layer shuttle, and select an appropriate task limit.

[0125] When selecting the storage layer, it is necessary to consider the three optimization conditions of task balance of each layer, maximization of space utilization and reduction of the number of layer change tasks. Assuming that the number of cache cargo positions in the docking area of ​​each layer is n, in order to ensure that the cargo at the docking port of the storage platform can be normally lifted to the layer docking area without affecting the normal use of the roller conveyor in the layer buffer area, the current maximum number of tasks to be executed on each layer is set to n-1. The storage layer is classified according to the maximum number of tasks to be entered. The number of tasks to be entered is less than n-1, which is a set called set A, and the number of tasks to be entered is greater than n-1, which is called set B. If the optimization condition of reducing the number of layer change tasks is given priority, firstly, whether there is a car on the current layer is used as the sorting basis, and the storage layers in the two sets are sorted. The layers with multiple vehicles are ranked first, and the layers without vehicles are ranked last. If the heights of the layers in the storage cargo positions are inconsistent, the layers are sorted in ascending order according to the height size. If the heights of the layers are consistent, this step is skipped. Between the sorting conditions of different priorities, the low priority can only be sorted in multiple levels on the sorting results of the high priority, and the sorting of the low priority cannot disrupt the sorting of the high priority.

[0126] The above-mentioned embodiments only express the specific implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the protection scope of the present application. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the technical solution concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching, characterized in that: The following steps are involved: Before allocating storage locations, obtain storage location information and conveying equipment operating parameters, calculate the time required for storage at each storage location, predict future shipment information based on historical material shipments and planned shipments, and use the ABC classification method to classify storage location heat and material heat; When the cargo space is put into storage, the material size, storage balance and task balance conditions are considered to select the current optimal storage lane. Specifically, according to the size of the goods, the warehouse area searches for empty cargo spaces that can be put into storage, and the lanes with available empty cargo spaces are used as the storage alternative lanes; the storage space selection considers the storage volume of the material in each lane, so that the storage volume of each lane is similar, and the multi-lane equipment is mobilized when leaving the warehouse; The cargo location selection takes into account the number of unexecuted tasks in each lane, so that the number of tasks in each lane is similar; In the aisle, the optimal cargo location is selected as the warehousing location based on the matching of cargo location temperature and material temperature.

2. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 1, characterized in that: The cargo space heat classification specifically includes the following steps: The theoretical storage time of each cargo location is calculated based on the distance between each cargo location and the storage platform and the operating parameters of the transportation equipment; Sort the warehousing operation time from long to short, and divide the cargo locations into several different heat areas, such as high frequency, medium frequency and low frequency. According to the ABC classification method, the first 10% of resources are advantageous resources, which are Class A high heat, 10%-30% are Class B medium heat, and the last 70% are Class C low heat. The classification standards can be modified in the cargo location classification system.

3. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 2, characterized in that: The cargo space heat classification further comprises the following steps: For a transport device that moves materials from the warehouse entrance to the cargo location in both the vertical and horizontal directions, such as a stacker, the horizontal running time required to reach the cargo location is t1, and the vertical running time is t2. The warehouse entry operation time is: t=MAX(t1,t2); For the use of at least two transport devices to complete vertical and horizontal handling, such as multi-layer shuttles and elevators, the horizontal running time is t1 and the vertical running time is t2. The storage operation time is: t = t1 + t2; When classifying the heat of cargo spaces, make comparisons within the range of cargo spaces with the same size.

4. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 1, characterized in that: The material heat classification specifically includes the following steps: Through historical shipping and receiving records and future shipping and receiving plans, the LPN shipping and receiving volumes of the same item in the future are predicted. The ABC classification method is used to classify materials into Class A high-heat, Class B medium-heat, and Class C low-heat according to the shipping and receiving volumes, with a focus on Class A materials with large shipping volumes. The top 10% of the material items in terms of receiving and sending volume can reach 70% of the total receiving and sending volume, and are classified as Class A; the top 10% to 30% of the material items in terms of receiving and sending volume can reach 20% of the total receiving and sending volume, and are classified as Class B; the remaining 70% of the material items only account for 10% of the total receiving and sending volume, and are classified as Class C. The classification standard is modified in the cargo location classification system; By analyzing the trend of shipment volume changes and fluctuations in the sending and receiving volumes of each material, materials are classified based on the frequency of fluctuations, and are divided into Class X, Class Y, and Class Z. Materials with large fluctuations in sending and receiving volumes are classified into Class X, followed by Class Y, and materials with small fluctuations in sending and receiving volumes are classified into Class Z. The classification standards can be modified in the cargo location classification system.

5. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 4, characterized in that: Before classifying the material heat, the following data should be obtained: Historical shipment volume of materials: Count the inbound and outbound quantity of each item's material LPN every day in history; Inventory of materials: Count the corresponding LPN quantity of each item in the current inventory; Future shipment plan volume of materials: Receive the future inbound and outbound quantity sent by the WMS system, and calculate the LPN quantity within the planned period through the package specification data of each item's material; Current heat value and heat classification of each item's material: The location allocation system records and saves the initial heat information of each item's material; ABC-XYZ classification standard parameters: Set the judgment parameters for ABC-XYZ classification in the background to clarify the classification criteria.

6. A method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 4 or 5, characterized in that: Before the material heat classification, the predicted future inbound and outbound quantity results are processed through two methods: cumulative addition method based on shipment volume sorting or normalization method based on shipment frequency; The cumulative addition method based on shipment volume sorting specifically includes: Sort each item's material in descending order according to the shipment volume from high to low, and then start calculating the cumulative shipment volume from the material ranked first in the sorting. When the cumulative volume is greater than or equal to 70% of the total material shipment volume, this part of the materials is classified as Class A high-heat materials, and the item types account for 10% of all types. When the cumulative volume is between 70% - 90%, it is Class B medium-heat materials, and the item types account for 20% of all types. The rest are Class C low-heat materials, and the item types account for 70% of all types.

7. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 6, characterized in that: The normalization method based on shipment frequency specifically includes: Perform normalization processing on the shipment volume data, and conduct ABC classification according to the normalized values. Use the (0,1) normalization method to process the inbound and outbound data, and proportionally convert the shipment frequency into the (0,1) interval; traverse the shipment volume of each item, find the maximum value Max and the minimum value Min, and use Max - Min as the normalization base for normalization processing. The formula is: Sort the calculation results in descending order and classify them according to the set classification criteria. Materials with x’>0.7 are Class A high-heat, those with 0.7≥x’>0.1 are Class B medium-heat, and those with x’≤0.1 are classified as Class C low-heat; When classifying XYZ for the fluctuation situation, it is necessary to calculate the monthly demand average value μ and variance σ of each item's material, and the calculation formula is: Obtain the coefficient of variation CV of each item's material, and the calculation formula is: According to the size of the coefficient of variation, combine the set XYZ classification criteria to classify the materials into Class X high-fluctuation, Class Y medium-fluctuation, and Class Z low-fluctuation. When CV≤0.5, it is considered that the fluctuation is small and classified as Class X; when 0.5<CV≤1, it is considered that the fluctuation is moderate and classified as Class Y; when CV>1, it is considered that the fluctuation is very large and classified as Class Z.

8. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 1, characterized in that: In the material heat classification, materials are divided into nine categories from AX to CZ; set the allocation adjustment cycle, regularly review the current materials in the warehouse, re-forecast the future receipt and delivery of all materials, and reclassify the materials according to the new forecast values; when a new item material appears, there is no historical receipt and delivery information, and the forecast information is inaccurate. First, set the material to BY category. When the data volume gradually accumulates, the material heat classification will be corrected in the next adjustment cycle; if the material was originally classified as AX, when the receipt and delivery volume decreases in the future and the classification rating is lowered, the heat classification will be changed; each time the heat is adjusted, it will only be adjusted to the adjacent level.

9. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 1, characterized in that: The storage area of ​​the three-dimensional warehouse is divided into a pallet storage area and a box storage area; the cargo location screening of the pallet storage area includes the following steps: Before optimizing the selection of cargo locations in the pallet warehouse area, statistics are collected on the storage conditions of different items in each lane and the current warehousing task volume of the stacker crane corresponding to each lane as data sources for storage balance and task balance. When materials are put into storage, the WMS system needs to transmit the item and size information of the materials to be put into storage to the storage allocation system; The cargo space allocation system compares the size information with the size of the empty cargo spaces in each lane, and selects the lanes with empty cargo spaces that can hold the current material as the candidate lanes for warehousing; Query the storage information of the item in each lane, select the first x lanes with the least storage as candidate lanes, and further narrow the candidate range. The value of x can be modified in the storage location screening system; When there are multiple deep storage locations, according to the column storage principle, the storage location with the same item as the material to be stored in the inner storage location is given priority; Query the task volume of each alternative lane, select the lane with the least task volume as the entry lane, and achieve balanced entry.

10. The method for selecting storage locations in a stereoscopic warehouse based on a balanced strategy and heat matching according to claim 9, characterized in that: The cargo location screening of the box storage area includes the following steps: Filter fault layers, filter size unsatisfactory layers; According to the classification of tasks to be executed at each layer, if the number of tasks exceeds the number of caches - 1, it is set B, and the others are set A; First search set A, then sort the layers of set A by whether there is a car, and then sort the sorted results by the height match. The low priority sorting cannot disrupt the high priority sorting results, and a joint sorting is performed; If there are vacancies, search for vacancies based on the size and popularity of the vacancies; otherwise, sort set B, and then search for vacancies in each layer in turn, and search for vacancies based on the size and popularity of the vacancies; Output the storage location search results.

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