CN115099525A - Cargo warehousing management method and system - Google Patents
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Abstract
A goods warehousing management method and a system belong to the technical field of logistics warehousing. The method is applied to a warehousing control end and comprises the following steps: step S01, configuring a certain number of inherent warehouse positions for storing different goods and forming an inherent warehouse position set based on the historical orders on the trading platform; step S02, configuring a certain number of reserve storage positions for storing different goods and forming a reserve storage position set based on the browsing data of the user on the trading platform; step S03, forming a comprehensive storage bit set based on the inherent storage bit set and the preparation storage bit set, wherein the forming process is as follows: when goods exist in the inherent bin bit set or the prepared bin bit set only, directly storing the data of the goods in the comprehensive bin bit set; when cargo is present in both the inherent bin set and the preliminary bin set, the maximum quantity of that cargo is stored in the integrated bin set. The invention accurately estimates and configures the storage positions of the warehouse under the condition of considering historical consumption and potential consumption, and the warehouse management efficiency is high.
Description
Technical Field
The invention relates to the technical field of logistics storage, in particular to a goods storage management method and system.
Background
At present, the electronic commerce is configured in a warehouse based on historical orders, and goods with different demands are provided with different numbers of warehouse positions according to historical demands. However, the consumption demand of people changes with the change of seasons, preferences and trend, and not only the storage positions of the required goods cannot be configured in advance, but also the storage positions with accurate quantity cannot be configured. If the warehouse location configuration is performed based on real-time orders, the shipment efficiency cannot be satisfied, especially the consumption requirements of promotion activities such as 618 and twenty-one cannot be satisfied.
To solve this problem, in order to accurately configure the storage positions with the required quantity of different goods, the existing mode adopts a mode of paying a deposit in advance to determine: which goods require a bin position and the number of bins required for that goods. However, not all consumers are willing to make a subscription fee; but also consumers who shop temporarily. It can be seen that this mode, although a certain number of storage positions can be pre-allocated to a certain extent, cannot be accurately estimated. In addition, the quantity of the storage bits rented or configured in the e-commerce stock warehouse is certain, and the problem of the explosive consumption demand cannot be solved at low cost.
The invention patent application CN201711251732.8 discloses a storage position distribution method and a device, and specifically discloses that the method comprises the following steps: acquiring historical transaction information of a target user; evaluating the transaction amount ranking of the target user on the current day according to the historical transaction information of the target user; and allocating warehousing positions for the target users according to the transaction amount ranking of the target users on the current day. The invention configures the storage positions from the perspective of a consumer, the equipped storage positions do not need to be considered for storing any goods, and the storage positions are mainly used for facilitating a picker to uniformly pack and distribute the goods of the consumer.
The invention patent application CN201811193548.7 discloses a warehousing storage location configuration system, and specifically discloses a system comprising a warehousing database for storing commodity basic data, historical promotion data, historical order data and warehousing space data; the social network sound volume analysis module is used for acquiring article data of an external social network and analyzing the relevance of the article data and the commodity basic data according to the commodity basic data of the warehousing database to generate commodity sound volume data; the stock forecasting module is used for calculating to obtain stock forecasting data according to the commodity basic data and the historical promotion data of the warehousing database and the commodity sound volume data of the social network sound volume analysis module; the warehouse data calculation module analyzes the historical order data of the warehouse database and the commodity basic data to obtain a commodity data matrix related to the state of the goods in the warehouse; and the storage location configuration planning module is used for analyzing and calculating according to the stock forecast data, the commodity data matrix, the commodity basic data and the storage space data to generate warehouse storage location configuration information. Although the warehouse storage position configuration can be obtained through the storage position configuration planning module, multiple factors need to be considered, and the process is complex.
Disclosure of Invention
The invention aims to solve the problem that pre-configuration of warehouse positions (including which goods need to be configured with warehouse positions and how many warehouse positions need to be configured with the goods) of an E-commerce terminal warehouse position is inaccurate, and provides a goods warehouse management method and a goods warehouse management system, which can configure the warehouse positions under the condition of considering historical consumption and potential consumption.
The invention provides a goods warehousing management method, which is applied to a warehousing control end and comprises the following steps:
step S01, configuring a certain number of inherent warehouse positions for storing different goods and forming an inherent warehouse position set based on the historical orders on the trading platform;
step S02, configuring a certain number of reserve storage positions for storing different goods and forming a reserve storage position set based on the browsing data of the user on the trading platform;
step S03, forming a comprehensive storage bit set based on the inherent storage bit set and the preparation storage bit set, wherein the forming process is as follows:
when goods exist in the inherent bin bit set or the prepared bin bit set only, directly storing the data of the goods in the comprehensive bin bit set;
when a good is present in both the inherent bin set and the reserve bin set, the maximum quantity of the good is stored in the integrated bin set.
The method is applied to the cargo storage management in the current warehouse, and is mainly used for pre-configuring storage positions for e-commerce. Historical orders and browsing data are obtained from the trading platform, and the warehousing control end analyzes and processes the obtained information to form a corresponding warehousing position set and comprehensively determine warehousing positions. The trading platform can be a trading platform of a single merchant or a trading platform of a plurality of merchants, and the like. For a trading platform of only a single merchant, the historical order and the browsing data are integrated data based on the trading platform of the single merchant; for a trading platform with many merchants, the historical order and browsing data is the data of a merchant on the trading platform.
The invention configures a certain number of inherent storage positions based on historical consumption information in a historical order and configures a certain number of auxiliary storage positions based on browsing data, and combines and considers historical consumption conditions and potential consumption conditions to accurately configure the storage positions in advance. The method is simple, and can combine two factors to allocate storage positions for the goods in advance and allocate the storage positions with the quantity for the goods.
Preferably, the step S01 includes:
step S11, acquiring a historical order on a trading platform, and identifying trading information in the historical order, wherein the trading information comprises a goods name and a trading quantity;
step S12, counting the goods name in the historical order and the corresponding transaction quantity of the goods;
step S13, according to the name of the goods and the corresponding transaction amount of the goods, different numbers of inherent bin positions are allocated to different goods and an inherent bin position set is formed.
Preferably, the step S02 includes:
step S21, browsing data of a user on the transaction platform is obtained, wherein the browsing data comprises browsing duration, browsing keywords and browsing pages;
step S22, configuring different quantities of reserve bin positions for different goods and forming a reserve bin position set based on the browsing data of the user on the trading platform, wherein the configuration mode is as follows:
when the browsing duration exceeds a duration threshold value, carrying out effective browsing frequency statistics on browsing behaviors occurring under the browsing duration, acquiring goods names of browsing pages under the browsing duration, accumulating effective browsing frequencies corresponding to the same goods names together, and accumulating the sum to be a prepared transaction number; or,
counting browsing keywords and the occurrence times of the same browsing keywords, matching by using a keyword fuzzy matching algorithm to obtain the goods name of the trading platform, wherein the occurrence times corresponding to the browsing keywords are prepared trading numbers, and then configuring different prepared storage positions for different goods according to the goods name and the trading numbers corresponding to the goods and forming a prepared storage position set.
Preferably, the method further comprises: step S04, when the total quantity of the comprehensive storage positions in the comprehensive storage position set is larger than the total quantity of the actual storage positions in the warehouse, the required quantity of storage positions of different goods in the comprehensive storage position set in a certain period is adjusted; the step S04 specifically includes:
when the total amount of the comprehensive storage positions in the comprehensive storage position set does not exceed 10% of the total amount of the actual storage positions of the warehouse, acquiring five kinds of goods with the largest quantity in the comprehensive storage position set, and reducing the quantity of the storage positions of the five kinds of goods in proportion according to the quantity proportion of the five kinds of goods in the comprehensive storage position set;
and when the total amount of the comprehensive storage positions in the comprehensive storage position set exceeds 10 percent of the total amount of the actual storage positions of the warehouse, sending a request of cross-warehouse storage position configuration to the storage control terminals of other warehouses.
Preferably, the method further comprises: step S05, adjusting the position of the storage position of the goods; step S05 is executed when the total quantity of the total storage positions in the total storage position set is not greater than the total quantity of the actual storage positions in the warehouse in step S04, or the step S05 is executed after step S04 is completed:
s51, sorting the data in the comprehensive storage position set in a descending order according to the storage position quantity;
and step S52, assigning the initial address as a warehousing position to the goods with the largest warehousing number, and sequentially assigning warehousing positions to other goods according to the sequence after sequencing, wherein the initial warehousing position of the next goods is the last warehousing position +1 of the previous goods.
Preferably, the method further comprises: step S05', adjusting the position of the storage position of the goods; step S05' is executed when the total quantity of the integrated storage positions in the integrated storage position set is not greater than the total quantity of the actual storage positions in the warehouse in step S04, or executed after step S04 is completed; the step S05' is specifically:
acquiring a related product list set by a transaction platform end, and adjusting the positions of the storage positions in the comprehensive storage position set, wherein the adjusting process is as follows:
traversing each cargo in the comprehensive storage position set, judging whether each cargo in the comprehensive storage position set exists in any group of cargos in the associated product list, if so, distributing the storage position according to the quantity of the storage position required by the cargo, and if not, judging the next cargo in the comprehensive storage position set until all the cargos in the comprehensive storage position set are judged; the initial warehousing position of the first goods belonging to the related products in the comprehensive warehousing position set is allocated as a first address, and the goods belonging to the related products are subsequently identified to be sequentially allocated with warehousing positions according to the address sequence;
after the distribution of the storage positions of the goods belonging to the associated products in the comprehensive storage position set is finished, randomly distributing the remaining goods in the comprehensive storage position set based on the remaining distributable storage positions;
and the associated product list stores a plurality of groups of goods, and each group of goods is the goods bound and sold on the trading platform.
Preferably, the step S04 further includes acquiring a signal of a position sensor on each storage position when the total amount of the comprehensive storage positions in the comprehensive storage position set is greater than the total amount of the actual storage positions in the warehouse, where the position sensor is used to detect whether the accumulated height of the goods in the storage positions exceeds half of the height of the storage positions, if so, the position sensor sends a position signal, and if not, the position sensor does not send a position signal; counting the storage positions which do not send position signals, and sending separation signals to the storage positions which do not send position signals so as to trigger the separation plates on the storage positions to be unfolded to divide the storage positions into two parts; the temporary storage position opened up by the space above the storage position is used for storing goods exceeding the total amount of the actual storage position of the warehouse, and the storage position of the temporary storage position and the name of the temporarily stored goods are correspondingly stored in the temporary storage position list.
The invention also provides a cargo warehousing management system, comprising:
the historical order acquisition module is used for acquiring historical orders on the trading platform;
the browsing data acquisition module is used for acquiring browsing data on the transaction platform;
the inherent storage configuration module is used for configuring a certain number of inherent storage positions for storing different goods based on historical orders and forming an inherent storage position set;
the preparation storage configuration module is used for configuring a certain number of preparation storage positions for storing different goods and forming a preparation storage position set based on the browsing data;
the comprehensive warehousing configuration module is used for forming a comprehensive warehousing position set based on the inherent warehousing positions obtained by the inherent warehousing configuration module and the preparation warehousing positions obtained by the preparation warehousing configuration module; the forming process is as follows:
when goods exist in the inherent storage position set or the prepared storage position set, the data of the goods are directly stored in the comprehensive storage position set;
when a good is present in both the inherent bin set and the reserve bin set, the maximum quantity of the good is stored in the integrated bin set.
Preferably, the system further comprises a storage position adjusting module, and the storage position adjusting module comprises:
the warehousing bit number adjusting submodule is used for adjusting the warehousing bits of different goods in the comprehensive warehousing bit set, the warehousing bits of which the number is required in a certain period, when the total amount of the comprehensive warehousing bits in the comprehensive warehousing bit set is larger than the total amount of the actual warehousing bits of the warehouse;
and the storage position adjusting submodule is used for adjusting the storage position positions of the goods according to the quantity of the goods concentrated in the comprehensive storage position.
The invention has the following beneficial effects:
the goods warehousing management method and the goods warehousing management system are simple and easy to implement, can configure warehousing positions under the condition of considering historical consumption conditions and potential consumption conditions, and can accurately estimate the consumption conditions so as to facilitate merchants to reasonably allocate goods and improve the warehousing management efficiency; and the quantity of the storage positions can be reasonably adjusted to meet the sharply increased consumption demand under the condition of considering the low-cost leasing storage positions.
Drawings
FIG. 1 is a flow chart of a method for managing warehousing of goods according to the present invention;
fig. 2 is a block diagram of a cargo warehousing management system according to the invention.
Detailed Description
The following are specific embodiments of the present invention and are further described with reference to the drawings, but the present invention is not limited to these embodiments.
Referring to fig. 1, the present invention relates to a cargo warehousing management method applied to a warehousing control end, the method comprising:
step S01, configuring a certain number of inherent warehouse positions for storing different goods and forming an inherent warehouse position set based on the historical orders on the trading platform;
for example, the inherent bin bit set G is { commodity code 1 × 10, commodity code 2 × 15, …, commodity code N × 20}, where different commodity codes identify commodity names of different goods, and it is difficult to distinguish the goods by simple names or letters considering that there are various commodities and each commodity has different brands and specifications, and for this reason, the commodity codes are directly used for identification. In particular, the existing trading platform also utilizes the commodity code identification for each commodity information storage, and when data on the trading platform is obtained, the corresponding field can be intercepted to identify the commodity code. The number following the x represents the number of bin bits. Wherein the type of goods stored in the set of intrinsic storage locations is determined based on the type of goods in the historical orders.
Step S02, configuring a certain number of reserve storage positions for storing different goods and forming a reserve storage position set based on the browsing data of the user on the trading platform;
for example, the spare bin bit set Y is { commodity code 1 ' × 8, commodity code 2 ' × 10, …, commodity code N ' × 30 }. The goods category stored in the preparation warehouse position set is determined according to the goods category in the browsing data. The browsing data comprises browsing duration, browsing pages, browsing keywords and the like.
Step S03, forming a comprehensive storage bit set based on the inherent storage bit set and the preparation storage bit set, wherein the forming process is as follows:
when goods exist in the inherent bin bit set or the prepared bin bit set only, directly storing the data of the goods in the comprehensive bin bit set;
when a good is present in both the inherent bin set and the reserve bin set, the maximum quantity of the good is stored in the integrated bin set.
For example, G = { YG101 × 5, YS222 × 8, YS201 × 9 }; y = { YG101 × 8, MM333 × 5, YS201 × 4, PJ211 × 10 }; integrated bin bit set Z = { YG101 × 8, YS222 × 8, MM333 × 5, YS201 × 9, PJ211 × 10 }. The data of the goods refers to the goods name (identified in the form of goods code herein) and the number of bin bits.
The warehousing control end obtains relevant data from the transaction platform, performs warehousing management analysis and processing, then outputs management instructions to the warehousing terminal, and the warehousing terminal performs stock based on the comprehensive warehousing location set obtained in the steps S01-S03.
Further, the step S01 includes:
step S11, acquiring a historical order on a trading platform, and identifying trading information in the historical order, wherein the trading information comprises a goods name and a trading quantity;
step S12, counting the goods names in the historical orders and the corresponding transaction quantity of the goods;
and step S13, configuring different quantities of inherent storage positions for different goods according to the goods name and the corresponding transaction quantity of the goods and forming an inherent storage position set.
Due to the fact that historical order data are huge, time and labor are wasted in analysis of the huge data, and long-time orders have no reference significance to storage position estimation, historical orders before a week are preferred. In one embodiment, when the historical order on the trading platform is acquired as coded data, the trading information in the order is acquired by grabbing the order number field, the goods name can be determined by identifying the goods code in the trading information, and the trading quantity can be determined by identifying the field near the goods code. To clarify the specific goods name, for example, the specific goods name identified by YG101 is 190g of black toothpaste with a white tea flavor. And setting a goods list at the transaction platform end, wherein the goods list stores commodity codes and corresponding specific goods names in advance. In another embodiment, when the historical order on the trading platform is acquired as picture data, the information in the picture is identified through an intelligent picture identification model, such as a CNN model, so as to determine the goods name and the trading amount. In the implementation process, specific goods names, such as 190g of black toothpaste and white tea flavor, can be directly identified, and if a goods code is obtained, the goods name needs to be determined by contrasting a goods list.
Wherein, the transaction amount (the transaction amount and the warehousing location configuration amount referred to later herein may be converted as follows) and the number of the warehousing locations may be 1:1, converting, namely the storage position size is equivalent to a small lattice under the condition, and storing small goods; or the size is quite large, and large electric appliance goods are stored; the transaction amount and the number of the bin positions may not be converted according to 1:1, for example, for a bin position with a known size, the transaction amount and the number of the bin positions are converted according to 10:1 for goods with a type I size, and the transaction amount and the number of the bin positions are converted according to 5:1 for goods with a type II size, a related ratio conversion list is set, and which size the goods belong to is determined, that is, the configured number of the bin positions can be obtained based on the transaction amount conversion.
In consideration of the probability difference of user behaviors, the inherent warehousing position configuration can be carried out on the first few goods with the largest transaction quantity in the historical orders; or after filtering several kinds of goods with the least transaction amount, the inherent storage position configuration is carried out.
Further, the step S02 includes:
step S21, browsing data of a user on the transaction platform is obtained, wherein the browsing data comprises browsing duration, browsing keywords and browsing pages;
step S22, configuring different quantities of reserve bin positions for different goods and forming a reserve bin position set based on the browsing data of the user on the trading platform, wherein the configuration mode is as follows:
due to the huge browsing data, the browsing data within one week is preferred in terms of accurate analysis and analysis efficiency. When the browsing duration exceeds a duration threshold value, carrying out effective browsing frequency statistics on browsing behaviors occurring under the browsing duration, acquiring goods names of browsing pages under the browsing duration, accumulating effective browsing frequencies corresponding to the same goods names together, and accumulating the sum to be a prepared transaction number; or,
counting browsing keywords and the occurrence times of the same browsing keywords, matching by using a keyword fuzzy matching algorithm to obtain the goods name of the trading platform, wherein the occurrence times corresponding to the browsing keywords are prepared trading numbers, and then configuring different prepared storage positions for different goods according to the goods name and the trading numbers corresponding to the goods and forming a prepared storage position set.
When the browsing duration is used as a configuration basis, the duration threshold can be set in a self-defined manner, for example, 15s, when the browsing duration exceeds the duration threshold, the user is considered to have purchase intention, the current browsing behavior is an effective browsing behavior, and the frequency statistics is performed, and when the browsing duration does not exceed the duration threshold, the user is considered to have no purchase intention, and the frequency statistics is not performed on the browsing behavior. And each effective browsing is counted as one time, all effective browsing times are accumulated, and the accumulated sum is the number of the prepared transactions.
When the browsing keywords are used as the configuration basis, the browsing keywords can be obtained through a web crawler technology. And considering that the actual goods sold on the trading platform are completely the same as the browsing keywords, matching operation is carried out by using a keyword fuzzy matching algorithm. Firstly, a goods name word stock is established, and the goods name word stock comprises a plurality of similar nouns of the same goods. Then, fuzzy matching is carried out in a character recognition mode. Or, keyword fuzzy matching can be realized by adopting a general regular expression mode. After the actual goods name of the transaction platform is obtained through matching, determining a goods code (the goods code is used for identifying the goods name) by contrasting the goods list; and counting the occurrence times of the commodity codes, and accumulating the sum to be the prepared transaction quantity.
Considering that the probability of user behavior occurrence is different, and there is no need to comprehensively consider data with browsing duration exceeding 15s or data with browsing keywords, data filtering is needed to be performed on the two situations, and data with the frequency lower than the threshold frequency is filtered; or sorting the data from a plurality of priorities, and configuring the preparation bin bit set based on how many bits of data are sorted before sorting.
Considering that the total quantity of the integrated storage positions in the integrated storage position set obtained in step S03 is a pre-estimated quantity, and there is an actual total quantity of the storage positions that can be provided by the current warehouse, it is necessary to perform quantity adjustment on the goods in the integrated storage position set. Therefore, the method of the present invention further includes step S04, when the total quantity of the comprehensive storage positions in the comprehensive storage position set is greater than the total quantity of the actual storage positions in the warehouse, adjusting the required quantity of storage positions of different goods in the comprehensive storage position set in a certain period. In view of the analysis of historical behavior or potential behavior occurring in a short period of time in steps S01, S02, the period of step S04 is also set to a short period, for example, one week.
Specifically, the step S04 includes: when the total amount of the comprehensive storage positions in the comprehensive storage position set does not exceed 10% of the total amount of the actual storage positions of the warehouse, five kinds of goods with the largest quantity in the comprehensive storage position set are obtained, and the quantity of the storage positions of the five kinds of goods is reduced in proportion according to the quantity proportion of the five kinds of goods in the comprehensive storage position set. And when the total amount of the comprehensive storage positions in the comprehensive storage position set exceeds 10 percent of the total amount of the actual storage positions of the warehouse, sending a request of allocating the storage positions across the warehouse to the storage control terminals of other warehouses. Since the excess amount is not so large (e.g., 10% margin), the estimated amount in the integrated bin bit set may be adjusted appropriately. For example, the fewest number of the goods in the comprehensive storage location set can be directly rejected, or the largest number of the goods in the storage location set can be reduced in equal proportion. When each goods is spread out to the equal proportion reduction scheme, the reduction amount can not be much, and under the condition of ensuring various goods configuration types, a plurality of warehouse positions can be provided for corresponding goods. When the excess quantity is large, adjustment and solution cannot be performed under the current warehouse, and other warehouses are required to perform supplementary configuration.
To further address the problem of not much excess, e.g., not more than 10% or not more than 20%, under the same warehouse, this may be accomplished by adjusting the size of the warehouse locations within the warehouse. Therefore, the step S04 further includes acquiring a signal of a position sensor on each storage position when the total amount of the comprehensive storage positions in the comprehensive storage position set is greater than the total amount of the actual storage positions of the warehouse, where the position sensor is used to detect whether the accumulated height of the goods in the storage positions exceeds half of the height of the storage positions, if so, the position sensor sends a position signal, and if not, the position sensor does not send a position signal; counting the storage positions which do not send position signals, and sending separation signals to the storage positions which do not send position signals so as to trigger the partition plates on the storage positions to be unfolded to divide the storage positions into two parts; the temporary storage position opened up by the space above the storage position is used for storing goods exceeding the total amount of the actual storage position of the warehouse, and the storage position of the temporary storage position and the name of the temporarily stored goods are correspondingly stored in the temporary storage position list.
Before the process is realized, each storage position in the warehouse is provided with a position sensor, such as a proximity switch, and when more goods accumulated in the storage position cover the proximity switch, the position sensor sends out a position signal, namely most of the space of the storage position is utilized; if the position sensor does not send out a position signal, the upper half part of the storage space is not utilized. Then, this moment, acquire the positional information of the storehouse position that does not send positional signal, the storage control end sends the division board of partition signal on giving the storage position, and this division board separates into upper and lower space with the storage position, is about to the storage position of original size separate into upper storehouse position and lower storehouse position, wherein goes up the storehouse position and is interim storehouse position. The partition plate is stored on the goods shelf when the partition signal is not received, does not shield the storage space, and is stretched after the partition signal is received. For example, a partition board accommodating cavity is arranged at the back plate of the goods shelf, and the partition board can extend out of the accommodating cavity and is clamped and fixed with a buckle at the front end of the goods shelf; for another example, a partition board mounting support plate is arranged at the shelf, a partition signal is sent to a storage manager, and the storage manager manually places the partition board to partition the storage positions. In addition, in consideration of the fact that the space of the storage positions becomes small, small-sized goods can be distributed to be stored in the temporary storage positions according to the sizes of the goods.
In order to be able to dispense goods quickly, the position of the storage positions also needs to be optimally adjusted. Therefore, the method also comprises the step of adjusting the position of the storage position of the goods. This step is performed when the total amount of the integrated storage positions in the integrated storage position set is not greater than the total amount of the actual storage positions in the warehouse in step S04, or after the step S04 is completed.
In an embodiment, the step S05 is specifically:
s51, sorting the data in the comprehensive storage position set in a descending order according to the storage position quantity;
and step S52, assigning the first address as a warehousing position to the goods with the largest warehousing number, and sequentially assigning warehousing positions to other goods according to the sequence after sorting, wherein the initial warehousing position of the next goods is the last warehousing position +1 of the previous goods.
The number of the storage positions in the storage position set is synthesized to be an estimated number, and the position of the storage positions of the goods can be determined to be optimized and adjusted according to the number of the storage positions. The goods with large estimated quantity are arranged at the nearest goods outlet, so that the goods outlet efficiency can be improved. The first address is the nearest goods outlet position. According to the quantity of the goods, different storage position positions are distributed to different goods. When the number of the storage positions of the toothpaste is the largest and 10 storage positions are needed, the storage positions of the toothpaste are distributed in the storage positions from the first address to the +9 of the first address; when the number of the storage bits of the toothbrush is several times and 9 storage bits are needed, the storage bits of the toothbrush are distributed in the storage bits from the first address +10 to the first address + 19. In the actual background operation, the address conversion is implemented by using binary coding, which is only exemplified above.
In another embodiment, the step S05' is specifically:
acquiring a related product list set by a transaction platform end, and adjusting the positions of the storage positions in the comprehensive storage position set, wherein the adjusting process is as follows:
traversing each cargo in the comprehensive storage position set, judging whether each cargo in the comprehensive storage position set exists in any group of cargos in the associated product list, if so, distributing the storage position according to the quantity of the storage position required by the cargo, and if not, judging the next cargo in the comprehensive storage position set until all the cargos in the comprehensive storage position set are judged; the initial warehousing position of the first goods belonging to the related products in the comprehensive warehousing position set is allocated as a first address, and the goods belonging to the related products are subsequently identified to be sequentially allocated with warehousing positions according to the address sequence;
after the distribution of the storage positions of the goods belonging to the associated products in the comprehensive storage position set is completed, randomly distributing the remaining goods in the comprehensive storage position set based on the remaining distributable storage positions;
and the associated product list stores a plurality of groups of goods, and each group of goods is the goods bound and sold on the trading platform.
Because the transaction platform can be promoted according to different activities, such as common bundle sales, combination goods with A, B, C products bundle sales, combination goods with 3A products bundle sales, combination goods with A products and B gifts bundle sales, and the like. For this reason, in order to improve the distribution efficiency in such a case, the embodiment optimally adjusts the position. Due to different sales promotion activities in different periods, different settings are set for the combined goods on the trading platform, and the settings are generally stored in an associated product list at the trading platform end.
For example, A, B, E kinds of cargoes in the comprehensive storage position set belong to combined cargoes in associated products, for example, one combined cargo comprises A, B, the other combined cargo comprises B, E, the storage position distribution of the first address to the first address + N is firstly carried out on the cargo A, then the storage position distribution of the first address + N +1 to the first address + M is carried out on the cargo B, and finally the storage position distribution of the first address + M +1 to the first address + X is carried out on the cargo E; and finally, randomly distributing the remaining addresses to other goods such as C, D in the comprehensive storage bit set, namely, the distribution sequence of C and D can be random.
In any position optimization scheme, the cargo warehousing management method performs real-time estimation and adjustment every period, and the position data (namely, the address) of the previous warehousing position needs to be cleared before each adjustment.
As shown in fig. 2, the present invention further provides a cargo warehousing management system, which is implemented based on the above method. The system comprises a historical order acquisition module, a browsing data acquisition module, an inherent warehousing configuration module, a prepared warehousing configuration module and a comprehensive warehousing configuration module. The historical order acquisition module is used for acquiring historical orders on the trading platform, and the inherent warehousing configuration module is used for configuring a certain number of inherent warehousing positions for storing different goods and forming an inherent warehousing position set based on the historical orders. And the browsing data acquisition module is used for acquiring browsing data on the transaction platform. The preparation storage configuration module configures a certain number of preparation storage positions for storing different cargos based on browsing data and forms a preparation storage position set. The comprehensive warehouse configuration module forms a comprehensive warehouse position set based on the inherent warehouse position set obtained by the configuration of the inherent warehouse configuration module and the preparation warehouse position set obtained by the configuration of the preparation warehouse configuration module; the forming process is as follows: when goods exist in the inherent bin bit set or the prepared bin bit set only, directly storing the data of the goods in the comprehensive bin bit set; when a good is present in both the inherent bin set and the reserve bin set, the maximum quantity of the good is stored in the integrated bin set.
The system also comprises a storage position adjusting module, wherein the storage position adjusting module comprises a storage position quantity adjusting submodule and a storage position adjusting submodule. When the total quantity of the comprehensive storage positions in the comprehensive storage position set is larger than the total quantity of the actual storage positions in the warehouse, the storage position quantity adjusting submodule adjusts the storage positions of different goods in the comprehensive storage position set, wherein the quantity of the different goods is required in a certain period. The specific adjustment mode is as follows: when the total amount of the comprehensive storage positions in the comprehensive storage position set does not exceed 10% of the total amount of the actual storage positions of the warehouse, acquiring five kinds of goods with the largest quantity in the comprehensive storage position set, and reducing the quantity of the storage positions of the five kinds of goods in proportion according to the quantity proportion of the five kinds of goods in the comprehensive storage position set; and when the total amount of the comprehensive storage positions in the comprehensive storage position set exceeds 10 percent of the total amount of the actual storage positions of the warehouse, sending a request of cross-warehouse storage position configuration to the storage control terminals of other warehouses. The number of the storage positions in the same warehouse is further optimized, when the total amount of the comprehensive storage positions in the comprehensive storage position set does not exceed 10% of the total amount of the actual storage positions in the warehouse, or when the total amount of the comprehensive storage positions in the comprehensive storage position set exceeds 10% of the total amount of the actual storage positions in the warehouse and does not exceed 20% of the total amount of the actual storage positions in the warehouse, the storage position adjusting submodule adjusts the working state of the partition plate based on the position sensor signal on each storage position to divide the size of the storage positions into two parts, the original storage positions are divided into spaces, and the utilization space of the storage positions is improved. The specific process is as follows: obtain the position sensor signal on the storage position, if position sensor sends position signal, explain that this storage position upper portion space is occupied, if position sensor does not send position signal, explain that this storage upper portion space is unoccupied, for this reason, separate the division board action on the storage position that the signal triggered upper portion space is unoccupied through sending, finally be divided into two with the storage position, the storage position that upper portion space separated out is interim storage position for the goods that the storage exceeds quantity.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are given by way of example only and are not limiting of the invention. The objects of the present invention have been fully and effectively accomplished. The functional and structural principles of the present invention have been shown and described in the examples, and any variations or modifications of the embodiments of the present invention may be made without departing from the principles.
Claims (10)
1. A cargo warehousing management method is applied to a warehousing control end and is characterized by comprising the following steps:
step S01, configuring a certain number of inherent warehouse positions for storing different goods and forming an inherent warehouse position set based on the historical orders on the trading platform;
step S02, configuring a certain number of reserve storage positions for storing different goods and forming a reserve storage position set based on the browsing data of the user on the trading platform;
step S03, forming a comprehensive storage bit set based on the inherent storage bit set and the preliminary storage bit set, the forming process is as follows:
when goods exist in the inherent storage position set or the prepared storage position set, the data of the goods are directly stored in the comprehensive storage position set;
when a good is present in both the inherent bin set and the reserve bin set, the maximum quantity of the good is stored in the integrated bin set.
2. The method for managing storage of goods as claimed in claim 1, wherein said step S01 comprises:
step S11, acquiring a historical order on a trading platform, and identifying trading information in the historical order, wherein the trading information comprises a goods name and a trading quantity;
step S12, counting the goods names in the historical orders and the corresponding transaction quantity of the goods;
and step S13, configuring different quantities of inherent storage positions for different goods according to the goods name and the corresponding transaction quantity of the goods and forming an inherent storage position set.
3. The method for managing storage of goods as claimed in claim 1, wherein said step S02 comprises:
step S21, browsing data of a user on the transaction platform is obtained, wherein the browsing data comprises browsing duration, browsing keywords and browsing pages;
step S22, configuring different quantities of reserve bin positions for different goods and forming a reserve bin position set based on the browsing data of the user on the trading platform, wherein the configuration mode is as follows:
when the browsing duration exceeds a duration threshold value, carrying out effective browsing frequency statistics on browsing behaviors occurring under the browsing duration, acquiring goods names of browsing pages under the browsing duration, accumulating effective browsing frequencies corresponding to the same goods names together, and accumulating the sum to be a prepared transaction number; or,
counting browsing keywords and the occurrence times of the same browsing keywords, matching by using a keyword fuzzy matching algorithm to obtain the goods name of the trading platform, wherein the occurrence times corresponding to the browsing keywords are prepared trading numbers, and then configuring different prepared storage positions for different goods according to the goods name and the trading numbers corresponding to the goods and forming a prepared storage position set.
4. The method for managing the warehousing of goods as claimed in claim 1, further comprising:
and step S04, when the total quantity of the comprehensive storage positions in the comprehensive storage position set is larger than the total quantity of the actual storage positions in the warehouse, adjusting the required quantity of storage positions of different goods in the comprehensive storage position set in a certain period.
5. The method for managing storage of goods according to claim 4, wherein the step S04 is specifically as follows:
when the total amount of the comprehensive storage positions in the comprehensive storage position set does not exceed 10% of the total amount of the actual storage positions of the warehouse, acquiring five kinds of goods with the largest quantity in the comprehensive storage position set, and reducing the quantity of the storage positions of the five kinds of goods in proportion according to the quantity proportion of the five kinds of goods in the comprehensive storage position set;
and when the total amount of the comprehensive storage positions in the comprehensive storage position set exceeds 10 percent of the total amount of the actual storage positions of the warehouse, sending a request of cross-warehouse storage position configuration to the storage control terminals of other warehouses.
6. The method for managing the warehousing of goods as claimed in claim 1, further comprising:
step S05, adjusting the position of the storage position of the goods; step S05 is executed when the total quantity of the integrated storage positions in the integrated storage position set is not greater than the total quantity of the actual storage positions in the warehouse in step S04, or executed after step S04 is completed; the step S05 specifically includes:
step S51, sorting the data in the comprehensive storage bit set in a descending order according to the storage bit quantity;
and step S52, assigning the initial address as a warehousing position to the goods with the largest warehousing number, and sequentially assigning warehousing positions to other goods according to the sequence after sequencing, wherein the initial warehousing position of the next goods is the last warehousing position +1 of the previous goods.
7. The method for managing the warehousing of goods as claimed in claim 1, further comprising:
step S05', adjusting the position of the storage position of the goods; step S05' is executed when the total quantity of the integrated storage positions in the integrated storage position set is not greater than the total quantity of the actual storage positions in the warehouse in step S04, or executed after the step S04 is completed; the step S05' is specifically:
acquiring a related product list set by a transaction platform end, and adjusting the positions of the storage positions in the comprehensive storage position set, wherein the adjusting process is as follows:
traversing each cargo in the comprehensive warehouse location set, judging whether each cargo in the comprehensive warehouse location set exists in any group of cargos in the associated product list, if so, distributing warehouse location positions according to the quantity of warehouse locations required by the cargos, and if not, judging the next cargo in the comprehensive warehouse location set until all the cargos in the comprehensive warehouse location set are judged; the initial warehousing position of the first goods belonging to the related products in the comprehensive warehousing position set is allocated as a first address, and the goods belonging to the related products are subsequently identified to be sequentially allocated with warehousing positions according to the address sequence;
after the distribution of the storage positions of the goods belonging to the associated products in the comprehensive storage position set is finished, randomly distributing the remaining goods in the comprehensive storage position set based on the remaining distributable storage positions;
and the associated product list stores a plurality of groups of goods, and each group of goods is the goods bound and sold on the trading platform.
8. The method for managing the warehousing of goods as claimed in claim 4, wherein the step S04 further comprises the steps of acquiring a signal of a position sensor on each warehousing position when the total amount of the comprehensive warehousing positions in the comprehensive warehousing position set is greater than the actual total amount of the warehousing positions, wherein the position sensor is used for detecting whether the accumulated height of goods at the warehousing positions exceeds a half height of the warehousing positions, if so, the position sensor sends out a position signal, and if not, the position sensor does not send out a position signal; counting the storage positions which do not send position signals, and sending separation signals to the storage positions which do not send position signals so as to trigger the separation plates on the storage positions to be unfolded to divide the storage positions into two parts; the temporary storage position opened up by the space above the storage position is used for storing goods exceeding the total amount of the actual storage position of the warehouse, and the storage position of the temporary storage position and the name of the temporarily stored goods are correspondingly stored in the temporary storage position list.
9. A system for managing the warehousing of goods, comprising:
the historical order acquisition module is used for acquiring historical orders on the trading platform;
the browsing data acquisition module is used for acquiring browsing data on the transaction platform;
the inherent storage configuration module is used for configuring a certain number of inherent storage positions for storing different goods based on historical orders and forming an inherent storage position set;
the preparation storage configuration module is used for configuring a certain number of preparation storage positions for storing different goods and forming a preparation storage position set based on the browsing data;
the comprehensive warehousing configuration module is used for forming a comprehensive warehousing position set based on the inherent warehousing positions obtained by the inherent warehousing configuration module and the preparation warehousing positions obtained by the preparation warehousing configuration module; the forming process is as follows:
when goods exist in the inherent storage position set or the prepared storage position set, the data of the goods are directly stored in the comprehensive storage position set;
when cargo is present in both the inherent bin set and the preliminary bin set, the maximum quantity of that cargo is stored in the integrated bin set.
10. The cargo warehousing management system of claim 9, further comprising a warehousing location adjustment module, the warehousing location adjustment module comprising:
the warehousing bit number adjusting submodule is used for adjusting the warehousing bits of different goods in the comprehensive warehousing bit set, the warehousing bits of which the number is required in a certain period, when the total amount of the comprehensive warehousing bits in the comprehensive warehousing bit set is larger than the total amount of the actual warehousing bits of the warehouse;
and the storage position adjusting submodule is used for adjusting the storage position positions of the goods according to the quantity of the goods concentrated in the comprehensive storage position.
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