CN110059991A - Warehouse selection method, system, electronic equipment and computer-readable medium - Google Patents

Warehouse selection method, system, electronic equipment and computer-readable medium Download PDF

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CN110059991A
CN110059991A CN201810051730.2A CN201810051730A CN110059991A CN 110059991 A CN110059991 A CN 110059991A CN 201810051730 A CN201810051730 A CN 201810051730A CN 110059991 A CN110059991 A CN 110059991A
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goods
kinds
warehouse
vector
odd number
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CN110059991B (en
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陈轶雄
李朝峰
邬迪
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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Beijing Jingdong Century Trading Co Ltd
Beijing Jingdong Shangke Information Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

Present disclose provides a kind of warehouse selection methods, including, obtain multiple order datas, wherein, it include the information of multiple kinds of goods in each order data, based on the order data, determine the kinds of goods vector of each kinds of goods, kinds of goods vector based on the kinds of goods in the first warehouse, determine the kinds of goods characterization value in first warehouse, and the kinds of goods vector based on each kinds of goods in the kinds of goods characterization value and at least one second warehouse, the Specific Goods in first warehouse is determined from the kinds of goods in second warehouse.In addition, the disclosure additionally provides a kind of warehouse selection system, electronic equipment and computer-readable medium.

Description

Warehouse selection method, system, electronic equipment and computer-readable medium
Technical field
This disclosure relates to which warehouse logistics technical field, sets more particularly, to a kind of warehouse selection method, system, electronics Standby and computer-readable medium.
Background technique
Current most of storehouse managements use the mode in one storehouse of a product, i.e., a kind of kinds of goods only store in a warehouse, and one Kind kinds of goods only have a kind of inventory's attribute.In recent years, with the fast development of e-commerce industry, customer is to online retail electric business Demand is increasing, and kinds of goods category also exponentially increases.In this case, the traditional mode in one storehouse of a product can be direct Leading to the rapid growth of singulated rate, that is, the picking of an order needs to obtain required kinds of goods from multiple warehouses regularly, Considerably increase the operation cost of electric business.From the angle of long-term business growth requirement, the concept for cloning storehouse is suggested, breaks There was only a kind of limitation of storehouse attribute with kinds of goods, realizes more storehouse attributes.How suitable warehouse selection strategy is selected, to reduce Singulated rate, save the cost, with regard at a retail electric business problem urgently to be solved.
Summary of the invention
In view of this, present disclose provides a kind of warehouse selection method, system, electronic equipment and computer-readable mediums.
An aspect of this disclosure provides a kind of warehouse selection method, including, obtain multiple order datas, wherein every Include the information of multiple kinds of goods in a order data, is based on the order data, determines the kinds of goods vector of each kinds of goods, base The kinds of goods vector of kinds of goods in the first warehouse determines the kinds of goods characterization value in first warehouse, and is based on the kinds of goods table The kinds of goods vector of value indicative and each kinds of goods at least one second warehouse, from the kinds of goods in second warehouse determine to It is transferred to the Specific Goods in first warehouse.
According to the embodiment of the present disclosure, the kinds of goods vector based on the kinds of goods in the first warehouse determines first warehouse Kinds of goods characterization value include being based on the order data, determine first of each kinds of goods in the first warehouse with odd number, wherein institute The quantity for stating the order that first occurs with odd number including the kinds of goods and other kinds of goods simultaneously, based on each in first warehouse The first of kinds of goods determines the part kinds of goods in the first warehouse with odd number, and is based on the part kinds of goods, determines first storehouse The kinds of goods characterization value in library.
According to the embodiment of the present disclosure, described first includes the number of the specific indent comprising the kinds of goods and other kinds of goods with odd number Amount, wherein only comprising the kinds of goods in first warehouse in the specific indent.
According to the embodiment of the present disclosure, described first includes the number of all orders comprising the kinds of goods and other kinds of goods with odd number Amount.
According to the embodiment of the present disclosure, the kinds of goods characterization value in first warehouse includes goods some or all of in the first warehouse The centroid vector of the kinds of goods vector of product.
According to the embodiment of the present disclosure, each goods based in the kinds of goods characterization value and at least one second warehouse The kinds of goods vector of product determines that the Specific Goods in first warehouse includes from the kinds of goods in second warehouse, Based on the order data, the second same odd number of each kinds of goods in the second warehouse is determined, wherein described second includes with odd number The quantity for the order that the kinds of goods and other kinds of goods occur simultaneously, first based on each kinds of goods in first warehouse is same single Number, determines the part kinds of goods in the first warehouse, and the kinds of goods vector based on the part kinds of goods, determines to be transferred to described the The Specific Goods in one warehouse.
According to the embodiment of the present disclosure, each goods based in the kinds of goods characterization value and at least one second warehouse The kinds of goods vector of product determines that the Specific Goods in first warehouse includes from the kinds of goods in second warehouse, Determine the kinds of goods vector of each kinds of goods in the second warehouse at a distance from the centroid vector, and be based on the distance, from institute State the Specific Goods that first warehouse is determined in the kinds of goods in the second warehouse.
Described to be based on the distance according to the embodiment of the present disclosure, determination is to be transferred from the kinds of goods in second warehouse Specific Goods to first warehouse includes second based on the distance and each kinds of goods in second warehouse With odd number, the Specific Goods in first warehouse is determined from the kinds of goods in second warehouse.
According to the embodiment of the present disclosure, the method also includes the available stock amounts based on the first warehouse and described second Second of each kinds of goods in warehouse determines the quantity of the Specific Goods in first warehouse with odd number.
Another aspect of the disclosure provides a kind of warehouse selection system, including obtains module, the first determining module, the Two determining modules and third determining module.Module is obtained, for obtaining multiple order datas, wherein each order data In include multiple kinds of goods information.First determining module, for being based on the order data, determine the kinds of goods of each kinds of goods to Amount.Second determining module determines the kinds of goods characterization in first warehouse for the kinds of goods vector based on the kinds of goods in the first warehouse Value.Third determining module, for the kinds of goods based on each kinds of goods in the kinds of goods characterization value and at least one second warehouse Vector determines the Specific Goods in first warehouse from the kinds of goods in second warehouse.
According to the embodiment of the present disclosure, second determining module include first determine submodule, second determine submodule and Third determines submodule.First determines submodule, for being based on the order data, determines each kinds of goods in the first warehouse First the same as odd number, wherein the quantity of the described first order occurred simultaneously with odd number including the kinds of goods and other kinds of goods.Second really Stator modules determine the part goods in the first warehouse for first based on each kinds of goods in first warehouse with odd number Product.Third determines submodule, for being based on the part kinds of goods, determines the kinds of goods characterization value in first warehouse.
According to the embodiment of the present disclosure, described first includes the number of the specific indent comprising the kinds of goods and other kinds of goods with odd number Amount, wherein only comprising the kinds of goods in first warehouse in the specific indent.
According to the embodiment of the present disclosure, the quantity of described first all orders with odd number comprising the kinds of goods and other kinds of goods.
According to the embodiment of the present disclosure, the kinds of goods characterization value in first warehouse includes goods some or all of in the first warehouse The centroid vector of the kinds of goods vector of product.
According to the embodiment of the present disclosure, the third determining module include the 4th determine submodule, the 5th determine submodule and 6th determines submodule.4th determines submodule, for being based on the order data, determines each kinds of goods in the second warehouse Second the same as odd number, wherein the quantity of the described second order occurred simultaneously with odd number including the kinds of goods and other kinds of goods.5th really Stator modules determine the part goods in the first warehouse for first based on each kinds of goods in first warehouse with odd number Product.6th determines that submodule determines the spy in first warehouse for the kinds of goods vector based on the part kinds of goods Order product.
According to the embodiment of the present disclosure, the third determining module includes that the 7th determining submodule and the 8th determine submodule. 7th determines submodule, for determining the kinds of goods vector of each kinds of goods in the second warehouse at a distance from the centroid vector.The Eight determine submodule, and for being based on the distance, first storehouse is determined from the kinds of goods in second warehouse The Specific Goods in library.
According to the embodiment of the present disclosure, the described 8th determines that submodule is used to be based on the distance and second warehouse In each kinds of goods second with odd number, the spy in first warehouse is determined from the kinds of goods in second warehouse Order product.
According to the embodiment of the present disclosure, the system also includes the 4th determining modules, for the available library based on the first warehouse Second same odd number of storage and each kinds of goods in second warehouse, determines the specific of first warehouse The quantity of kinds of goods.
Another aspect of the present disclosure provides a kind of electronic equipment, including, one or more processors;And storage dress It sets, for storing one or more programs, wherein when one or more of programs are executed by one or more of processors When, so that the method that one or more of processors execute above-mentioned any one.
Another aspect of the present disclosure provides a kind of computer-readable medium, is stored thereon with executable instruction, the finger Processor is set to execute above-mentioned any one method when order is executed by processor.
Another aspect of the present disclosure provides a kind of computer program, and the computer program, which includes that computer is executable, to be referred to It enables, described instruction is when executed for realizing method as described above.
In accordance with an embodiment of the present disclosure, by the analysis to order data, the feature vector of characterization kinds of goods feature is generated, and The kinds of goods in the second warehouse relevant to the kinds of goods in the first warehouse are determined using this feature vector, and are realized from the second warehouse Selection is moved to the strategy in the first warehouse, reduces singulated rate, save the cost.
Detailed description of the invention
By referring to the drawings to the description of the embodiment of the present disclosure, the above-mentioned and other purposes of the disclosure, feature and Advantage will be apparent from, in the accompanying drawings:
Fig. 1 diagrammatically illustrates the signal of the application scenarios of the warehouse selection method and system according to the embodiment of the present disclosure Figure;
Fig. 2 diagrammatically illustrates the flow chart of the warehouse selection method according to the embodiment of the present disclosure;
Fig. 3 diagrammatically illustrates the kinds of goods vector based on the kinds of goods in the first warehouse according to the embodiment of the present disclosure, determines The flow chart of the kinds of goods characterization value in first warehouse;
Fig. 4 is diagrammatically illustrated according to the embodiment of the present disclosure based on the kinds of goods characterization value and at least one second storehouse The kinds of goods vector of each kinds of goods in library determines the spy in first warehouse from the kinds of goods in second warehouse The flow chart of order product;
Fig. 5 diagrammatically illustrate according to another embodiment of the disclosure based on the kinds of goods characterization value and at least one The kinds of goods vector of each kinds of goods in two warehouses determines first warehouse from the kinds of goods in second warehouse Specific Goods flow chart;
Fig. 6 diagrammatically illustrates the flow chart of the warehouse selection method according to another embodiment of the disclosure;
Fig. 7 diagrammatically illustrates the block diagram of the warehouse selection system according to the embodiment of the present disclosure;
Fig. 8 diagrammatically illustrates the block diagram of the second determining module according to the embodiment of the present disclosure;
Fig. 9 diagrammatically illustrates the block diagram of the third determining module according to the embodiment of the present disclosure;
Figure 10 diagrammatically illustrates the block diagram of the third determining module according to another embodiment of the disclosure;
Figure 11 diagrammatically illustrates the block diagram of the warehouse selection system according to another embodiment of the disclosure;And
Figure 12 diagrammatically illustrates the block diagram of the computer system of the electronic equipment according to the embodiment of the present disclosure.
Specific embodiment
Hereinafter, will be described with reference to the accompanying drawings embodiment of the disclosure.However, it should be understood that these descriptions are only exemplary , and it is not intended to limit the scope of the present disclosure.In addition, in the following description, descriptions of well-known structures and technologies are omitted, with Avoid unnecessarily obscuring the concept of the disclosure.
Term as used herein is not intended to limit the disclosure just for the sake of description specific embodiment.It uses herein The terms "include", "comprise" etc. show the presence of the feature, step, operation and/or component, but it is not excluded that in the presence of Or add other one or more features, step, operation or component.
There are all terms (including technical and scientific term) as used herein those skilled in the art to be generally understood Meaning, unless otherwise defined.It should be noted that term used herein should be interpreted that with consistent with the context of this specification Meaning, without that should be explained with idealization or excessively mechanical mode.
It, in general should be according to this using statement as " at least one in A, B and C etc. " is similar to Field technical staff is generally understood the meaning of the statement to make an explanation (for example, " system at least one in A, B and C " Should include but is not limited to individually with A, individually with B, individually with C, with A and B, with A and C, have B and C, and/or System etc. with A, B, C).Using statement as " at least one in A, B or C etc. " is similar to, generally come Saying be generally understood the meaning of the statement according to those skilled in the art to make an explanation (for example, " having in A, B or C at least One system " should include but is not limited to individually with A, individually with B, individually with C, with A and B, have A and C, have B and C, and/or the system with A, B, C etc.).It should also be understood by those skilled in the art that substantially arbitrarily indicating two or more The adversative conjunction and/or phrase of optional project shall be construed as either in specification, claims or attached drawing A possibility that giving including one of these projects, either one or two projects of these projects.For example, phrase " A or B " should A possibility that being understood to include " A " or " B " or " A and B ".
Embodiment of the disclosure provides a kind of warehouse selection method and system, by the analysis to order data, generates The feature vector of kinds of goods feature is characterized, and is determined in the second warehouse relevant to the kinds of goods in the first warehouse using this feature vector Kinds of goods, and realize that selection is moved to the strategy in the first warehouse from the second warehouse, reduces singulated rate, save the cost.
Fig. 1 diagrammatically illustrates the signal of the application scenarios of the warehouse selection method and system according to the embodiment of the present disclosure Figure.It should be noted that being only the example that can apply the application scenarios of the embodiment of the present disclosure shown in Fig. 1, to help this field Technical staff understands the technology contents of the disclosure, but is not meant to that the embodiment of the present disclosure may not be usable for other systems, environment Or scene.
In general, kinds of goods are according to the mode in one storehouse of a product, and same kinds of goods only store in a warehouse, with this The warehouse of kind mode storage kinds of goods is known as the master library of kinds of goods.When needing to take a certain kinds of goods, it is necessary to the master library ability of the kinds of goods The kinds of goods can be got.Therefore, it when an order includes the kinds of goods in different master libraries, needs to split on the order multiple sons and orders It is single, and kinds of goods are taken out from multiple warehouses according to a little order, considerably increase operation cost.
From the angle of long-term business growth requirement, the concept for cloning storehouse is suggested, and breaks same kinds of goods and there was only a kind of library More storehouse attributes are realized in the limitation of room attribute, that is, same kinds of goods are deposited in incessantly in a warehouse.For example, existing one On the basis of the mode in one storehouse of product, the part kinds of goods in multiple main storehouses are moved in another main storehouse, clone storehouse is formed it into, makes Picking can be completed in the clone storehouse by obtaining many orders, singulated rate be reduced, to cut operating costs.
As shown in Figure 1, currently needing the part kinds of goods in multiple second warehouses being moved to the first warehouse, so as to much order Picking singly is completed in the first warehouse, to reduce singulated rate.
Fig. 2 diagrammatically illustrates the flow chart of the warehouse selection method according to the embodiment of the present disclosure.
As shown in Fig. 2, this method includes operation S210~S240.
In operation S210, multiple order datas are obtained, wherein include the letter of multiple kinds of goods in each order data Breath.
In operation S220, it is based on the order data, determines the kinds of goods vector of each kinds of goods.
In operation S230, the kinds of goods vector based on the kinds of goods in the first warehouse determines the kinds of goods characterization in first warehouse Value.
Operation S240, the kinds of goods based on each kinds of goods in the kinds of goods characterization value and at least one second warehouse to Amount determines the Specific Goods in first warehouse from the kinds of goods in second warehouse.
This method generates the feature vector of characterization kinds of goods feature by the analysis to order data, and using this feature to Amount determines the kinds of goods in relevant to the kinds of goods in the first warehouse the second warehouse, and realization selection from the second warehouse is moved to the The strategy in one warehouse reduces singulated rate, save the cost.
According to the embodiment of the present disclosure, in operation S210 and S220, such as orders whole in training data can be input to In sku2vec model, the kinds of goods vector of each kinds of goods is exported, i.e., whole kinds of goods are mapped in vector row space.Due to this A little kinds of goods vectors are to be generated based on order, therefore kinds of goods corresponding to the higher vector of cosine similarity also have higher association Property, that is, the probability appeared in same order is higher.Therefore, which can be used for showing the feature of the kinds of goods.
According to the embodiment of the present disclosure, in operation S230, the kinds of goods characterization value in first warehouse for example can be the first storehouse The centroid vector of the kinds of goods vector of kinds of goods some or all of in library.After the feature vector for determining the kinds of goods in the first warehouse, Such as centroid vector can be calculated, for example, centroid vector P can be indicated by the kinds of goods vector of whole kinds of goods are as follows:
Wherein, SiIndicate that the kinds of goods vector of each kinds of goods in the first warehouse, n are the kinds of goods species number in the first warehouse.
It is described below with reference to operation S230 of the Fig. 3 to the embodiment of the present disclosure.
Fig. 3 diagrammatically illustrates the kinds of goods vector based on the kinds of goods in the first warehouse according to the embodiment of the present disclosure, determines The flow chart of the kinds of goods characterization value in first warehouse.
As shown in figure 3, this method includes operation S310~S330.
In operation S310, it is based on the order data, determines the first same odd number of each kinds of goods in the first warehouse, In, the quantity of the described first order occurred simultaneously with odd number including the kinds of goods and other kinds of goods.
In operation S320, the first same odd number based on each kinds of goods in first warehouse is determined in the first warehouse Part kinds of goods.
In operation S330, the part kinds of goods are based on, determine the kinds of goods characterization value in first warehouse.
This method is based on first with odd number, determining section distribution of goods product, based on the kinds of goods characterization value that those kinds of goods determine, such as matter The heart, by more specific aim.
According to the embodiment of the present disclosure, described first includes the number of the specific indent comprising the kinds of goods and other kinds of goods with odd number Amount, wherein only comprising the kinds of goods in first warehouse in the specific indent.
According to the embodiment of the present disclosure, described first includes the number of all orders comprising the kinds of goods and other kinds of goods with odd number Amount.
It, can be based on the first same odd number in the first warehouse after obtaining first with odd number according to the embodiment of the present disclosure Kinds of goods be ranked up, for example, the first of A kinds of goods is same with first that the percentage that odd number accounts for total number of orders is 7.5%, B kinds of goods It is the first percentage for accounting for total number of orders with odd number of 6.8%, C kinds of goods is 6.6% etc. that odd number, which accounts for the percentage of total number of orders,. According to the embodiment of the present disclosure, according to the sequence of above-mentioned sequence, it can choose the part kinds of goods that accumulation accounting is more than a threshold value, such as Accumulate 70% or more accounting, i.e., it is multiple when accounting for 70% or more of blanket order according to the same odd number of the multiple kinds of goods sequentially selected Kinds of goods determine the characterization value of those kinds of goods.
According to the embodiment of the present disclosure, which can be the mass center based on first with odd number for weight design, such as:
Wherein, M indicates to accumulate the item quantity that accounting is more than a threshold value, S with odd numberiIndicate kinds of goods vector, qiIndicate first With odd number, f (qi) it is the kinds of goods with the second weight with odd number for index, including but not limited to logarithmic function log (1+qi)、 Square root functionChi square function qi 2Deng.
It is described below with reference to operation S240 of the Fig. 4 to the embodiment of the present disclosure.
Fig. 4 is diagrammatically illustrated according to the embodiment of the present disclosure based on the kinds of goods characterization value and at least one second storehouse The kinds of goods vector of each kinds of goods in library determines the spy in first warehouse from the kinds of goods in second warehouse The flow chart of order product.
As shown in figure 4, this method includes operation S410~S430.
In operation S410, it is based on the order data, determines the second same odd number of each kinds of goods in the second warehouse, In, the quantity of the described second order occurred simultaneously with odd number including the kinds of goods and other kinds of goods.
In operation S420, the first same odd number based on each kinds of goods in first warehouse is determined in the first warehouse Part kinds of goods.
The specific of first warehouse is determined based on the kinds of goods vector of the part kinds of goods in operation S430 Kinds of goods.
The kinds of goods that this method passes through the part kinds of goods in the processing to each kinds of goods in the second warehouse and the first warehouse Vector determines the Specific Goods in first warehouse.According to the embodiment of the present disclosure, this second can wrap with odd number Include the quantity of all orders comprising the kinds of goods and other kinds of goods.
Fig. 5 diagrammatically illustrate according to another embodiment of the disclosure based on the kinds of goods characterization value and at least one The kinds of goods vector of each kinds of goods in two warehouses determines first warehouse from the kinds of goods in second warehouse Specific Goods flow chart.
As shown in figure 5, this method includes operation S510 and S520.
In operation S510, determine the kinds of goods vector of each kinds of goods in the second warehouse at a distance from the centroid vector.
In operation S520, it is based on the distance, to be transferred to described first is determined from the kinds of goods in second warehouse The Specific Goods in warehouse.
According to the embodiment of the present disclosure, which can be n dimension Euclidean distance or manhatton distance etc., such as | S '-P |, Wherein S ' is the kinds of goods vector of the kinds of goods in the second warehouse, and P is the kinds of goods characterization value in the first warehouse, such as the goods of meaning illustrated above The mass center of product vector.It sorts according to this apart from size, the kinds of goods of L type before can selecting, as to be transferred to described first The Specific Goods in warehouse.
Described to be based on the distance according to the embodiment of the present disclosure, determination is to be transferred from the kinds of goods in second warehouse Specific Goods to first warehouse includes second based on the distance and each kinds of goods in second warehouse With odd number, the Specific Goods in first warehouse is determined from the kinds of goods in second warehouse.
According to the embodiment of the present disclosure, can increase on the basis of the distance of above-mentioned vector with second with odd number as index Weight, for example, | S '-P | × f (q ') is ranked up based on the value, to obtain better effect.Wherein, f (q 'i) it is the goods Product with second with odd number be index weight, including but not limited to logarithmic function log (1+q 'i), square root functionIt is flat Square function q 'i 2Deng.
Fig. 6 diagrammatically illustrates the flow chart of the warehouse selection method according to another embodiment of the disclosure.
As shown in fig. 6, this method on the basis of the embodiment of Fig. 2~illustrated in Figure 5, further includes operation S610.
In operation S610, the of the available stock amount based on the first warehouse and each kinds of goods in second warehouse Two, with odd number, determine the quantity of the Specific Goods in first warehouse.
According to the embodiment of the present disclosure, the transfer quantity of certain kinds of goods include the first warehouse available stock amount with by the kinds of goods Second with odd number determined by weight product, wherein the available stock amount for example can be by having occupied in the first warehouse Quantity in stock and inventory's occupancy determine.For example, the transfer quantity B of certain kinds of goodsiIt can be determined by following formula:
Wherein, Q is the quantity in stock occupied, and A is inventory's occupancy, and L is the species number of kinds of goods to be moved, f (q 'i) be The kinds of goods with second with odd number be index weight, including but not limited to logarithmic function log (1+q 'i), square root functionChi square function q 'i 2Deng.
According to the embodiment of the present disclosure, after determining selection strategy, the picking in warehouse after treatment of a collection of order can be calculated Singulated rate.
For example, the storage distribution of each kinds of goods can be counted first, i.e., which warehouse each kinds of goods are in.By backstepping, Count which kinds of goods each warehouse stores.When order is opened in reading one, the kinds of goods most species comprising the order can be determined Warehouse generates a sub- order.Similarly, in the same way by kinds of goods remaining in the order, sub- order is generated, until Until there is no remaining kinds of goods, the son odd number of generation is recorded.Next order is read, repeats the above steps, moves in circles, until All orders have all been handled.Singulated rate R can be calculate by the following formula:
Wherein, I is total orders, and I ' is total sub- order numbers.
Fig. 7 diagrammatically illustrates the block diagram of the warehouse selection system 700 according to the embodiment of the present disclosure.
As shown in fig. 7, the warehouse selection system 700 includes obtaining the determining mould of module 710, the first determining module 720, second Block 730 and third determining module 740.
Module 710 is obtained, such as executes the operation S210 described above with reference to Fig. 2, for obtaining multiple order datas, In, it include the information of multiple kinds of goods in each order data.
First determining module 720, such as the operation S220 described above with reference to Fig. 2 is executed, for being based on the order numbers According to determining the kinds of goods vector of each kinds of goods.
Second determining module 730, such as the operation S230 described above with reference to Fig. 2 is executed, for based in the first warehouse Kinds of goods kinds of goods vector, determine the kinds of goods characterization value in first warehouse.
Third determining module 740, such as the operation S240 described above with reference to Fig. 2 is executed, for being based on the kinds of goods table The kinds of goods vector of value indicative and each kinds of goods at least one second warehouse, from the kinds of goods in second warehouse determine to It is transferred to the Specific Goods in first warehouse.
Fig. 8 diagrammatically illustrates the block diagram of the second determining module 730 according to the embodiment of the present disclosure.
As shown in figure 8, second determining module 730 includes that the first determining submodule 810, second determines 820 and of submodule Third determines submodule 830.
First determines submodule 810, such as executes the operation S310 described above with reference to Fig. 3, for being based on the order Data determine the first same odd number of each kinds of goods in the first warehouse, wherein described first includes the kinds of goods and other with odd number The quantity for the order that kinds of goods occur simultaneously.
Second determines submodule 820, such as executes the operation S320 described above with reference to Fig. 3, for being based on described first First of each kinds of goods in warehouse determines the part kinds of goods in the first warehouse with odd number.
Third determines submodule 830, such as executes the operation S330 described above with reference to Fig. 3, for being based on the part Kinds of goods determine the kinds of goods characterization value in first warehouse.
According to the embodiment of the present disclosure, described first includes the number of the specific indent comprising the kinds of goods and other kinds of goods with odd number Amount, wherein only comprising the kinds of goods in first warehouse in the specific indent.
According to the embodiment of the present disclosure, the quantity of described first all orders with odd number comprising the kinds of goods and other kinds of goods.
According to the embodiment of the present disclosure, the kinds of goods characterization value in first warehouse includes goods some or all of in the first warehouse The centroid vector of the kinds of goods vector of product.
Fig. 9 diagrammatically illustrates the block diagram of the third determining module 740 according to the embodiment of the present disclosure.
As shown in figure 9, the third determining module 740 includes that the 4th determining submodule the 910, the 5th determines 920 and of submodule 6th determines submodule 930.
4th determines submodule 910, such as executes the operation S410 described above with reference to Fig. 4, for being based on the order Data determine the second same odd number of each kinds of goods in the second warehouse, wherein described second includes the kinds of goods and other with odd number The quantity for the order that kinds of goods occur simultaneously.
5th determines submodule 920, such as executes the operation S420 described above with reference to Fig. 4, for being based on described first First of each kinds of goods in warehouse determines the part kinds of goods in the first warehouse with odd number.
6th determines submodule 930, such as executes the operation S430 described above with reference to Fig. 4, for being based on the part The kinds of goods vector of kinds of goods determines the Specific Goods in first warehouse.
Figure 10 diagrammatically illustrates the block diagram of the third determining module 740 according to another embodiment of the disclosure.
As shown in Figure 10, which includes that the 7th determining submodule 1010 and the 8th determines submodule 1020。
7th determines submodule 1010, such as executes the operation S510 described above with reference to Fig. 5, for determining the second warehouse In each kinds of goods kinds of goods vector at a distance from the centroid vector.
8th determines submodule 1020, such as executes the operation S520 that describe above with reference to Fig. 5, for described in being based on away from From the Specific Goods in determining first warehouse from the kinds of goods in second warehouse.
According to the embodiment of the present disclosure, the described 8th determines that submodule is used to be based on the distance and second warehouse In each kinds of goods second with odd number, the spy in first warehouse is determined from the kinds of goods in second warehouse Order product.
Figure 11 diagrammatically illustrates the block diagram of the warehouse selection system 1100 according to another embodiment of the disclosure.
As shown in figure 11, which further includes the 4th determining on the basis of warehouse selection system 700 Module 1110.
4th determining module 1110, such as the operation S610 described above with reference to Fig. 6 is executed, for based on the first warehouse Second same odd number of available stock amount and each kinds of goods in second warehouse, determines first warehouse Specific Goods quantity.
It is understood that above-mentioned module may be incorporated in a module and realize or any one module therein Multiple modules can be split into.Alternatively, at least partly function of one or more modules in these modules can be with other At least partly function of module combines, and realizes in a module.According to an embodiment of the invention, in above-mentioned module extremely Few one can at least be implemented partly as hardware circuit, such as field programmable gate array (FPGA), programmable logic battle array (PLA), system on chip, the system on substrate, the system in encapsulation, specific integrated circuit (ASIC) are arranged, or can be to circuit The hardware such as any other rational method that is integrated or encapsulating or firmware are carried out to realize, or with software, hardware and firmware three The appropriately combined of kind of implementation is realized.Alternatively, at least one of above-mentioned module can at least be implemented partly as counting Calculation machine program module can execute the function of corresponding module when the program is run by computer.
Figure 12 diagrammatically illustrates the block diagram of the computer system of the electronic equipment according to the embodiment of the present disclosure.Figure 12 shows Computer system out is only an example, should not function to the embodiment of the present disclosure and use scope bring any restrictions.
It as shown in figure 12, include processor 1201 according to the computer system of the embodiment of the present disclosure 1200, it can basis The program that is stored in read-only memory (ROM) 1202 is loaded into random access storage device (RAM) from storage section 1208 Program in 1203 and execute various movements appropriate and processing.Processor 1201 for example may include general purpose microprocessor (example Such as CPU), instruction set processor and/or related chip group and/or special microprocessor (for example, specific integrated circuit (ASIC)), Etc..Processor 1201 can also include the onboard storage device for caching purposes.Processor 1201 may include for executing Single treatment unit with reference to the different movements of Fig. 2~Fig. 6 method flow according to the embodiment of the present disclosure described is either more A processing unit.
In RAM 1203, it is stored with system 1200 and operates required various programs and data.Processor 1201, ROM1202 and RAM 1203 is connected with each other by bus 1204.Processor 1201 is by executing ROM 1202 and/or RAM Program in 1203 executes the various operations above with reference to Fig. 2~Fig. 6 method according to the embodiment of the present disclosure described.It needs Note that described program also can store in one or more memories in addition to ROM 1202 and RAM 1203.Processor 1201 can also be retouched to execute above with reference to Fig. 2~Fig. 6 by executing the program being stored in one or more of memories The various operations for the method according to the embodiment of the present disclosure stated.
In accordance with an embodiment of the present disclosure, system 1200 can also include input/output (I/O) interface 1205, input/output (I/O) interface 1205 is also connected to bus 1204.System 1200 can also include being connected in lower component of I/O interface 1205 It is one or more: the importation 1206 including keyboard, mouse etc.;Including such as cathode-ray tube (CRT), liquid crystal display And the output par, c 1207 of loudspeaker etc. (LCD) etc.;Storage section 1208 including hard disk etc.;And including such as LAN card, The communications portion 1209 of the network interface card of modem etc..Communications portion 1209 executes logical via the network of such as internet Letter processing.Driver 1210 is also connected to I/O interface 1205 as needed.Detachable media 1211, such as disk, CD, magnetic CD, semiconductor memory etc. are mounted on as needed on driver 1210, in order to from the computer program read thereon It is mounted into storage section 1208 as needed.
In accordance with an embodiment of the present disclosure, it may be implemented as computer software journey above with reference to the method for flow chart description Sequence.For example, embodiment of the disclosure includes a kind of computer program product comprising carry meter on a computer-readable medium Calculation machine program, the computer program include the program code for method shown in execution flow chart.In such embodiments, The computer program can be downloaded and installed from network by communications portion 1209, and/or from 1211 quilt of detachable media Installation.When the computer program is executed by processor 1201, the above-mentioned function of limiting in the system of the embodiment of the present disclosure is executed. In accordance with an embodiment of the present disclosure, system as described above, unit, module, unit etc. can pass through computer program module To realize.
It should be noted that computer-readable medium shown in the disclosure can be computer-readable signal media or meter Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device, Or above-mentioned any appropriate combination.In the disclosure, computer readable storage medium can be it is any include or storage journey The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this In open, computer-readable signal media may include in a base band or as the data-signal that carrier wave a part is propagated, Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned Any appropriate combination.In accordance with an embodiment of the present disclosure, computer-readable medium may include above-described ROM 1202 And/or one or more memories other than RAM 1203 and/or ROM 1202 and RAM 1203.
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction It closes to realize.
As on the other hand, the disclosure additionally provides a kind of computer-readable medium, which can be Included in equipment described in above-described embodiment;It is also possible to individualism, and without in the supplying equipment.Above-mentioned calculating Machine readable medium carries one or more program, when said one or multiple programs are executed by the equipment, makes Obtain the various operations for the method according to the embodiment of the present disclosure that the equipment is executed with reference to Fig. 2~Fig. 6 description.
Embodiment of the disclosure is described above.But the purpose that these embodiments are merely to illustrate that, and It is not intended to limit the scope of the present disclosure.Although respectively describing each embodiment above, but it is not intended that each reality Use cannot be advantageously combined by applying the measure in example.The scope of the present disclosure is defined by the appended claims and the equivalents thereof.It does not take off From the scope of the present disclosure, those skilled in the art can make a variety of alternatives and modifications, these alternatives and modifications should all fall in this Within scope of disclosure.

Claims (16)

1. a kind of warehouse selection method, comprising:
Obtain multiple order datas, wherein include the information of multiple kinds of goods in each order data;
Based on the order data, the kinds of goods vector of each kinds of goods is determined;
Kinds of goods vector based on the kinds of goods in the first warehouse determines the kinds of goods characterization value in first warehouse;And
Based on the kinds of goods vector of each kinds of goods in the kinds of goods characterization value and at least one second warehouse, from second storehouse The Specific Goods in first warehouse is determined in kinds of goods in library.
2. according to the method described in claim 1, wherein, the kinds of goods vector based on the kinds of goods in the first warehouse determines institute The kinds of goods characterization value for stating the first warehouse includes:
Based on the order data, the first same odd number of each kinds of goods in the first warehouse is determined, wherein described first the same as odd number Quantity including the order that the kinds of goods and other kinds of goods occur simultaneously;
The first same odd number based on each kinds of goods in first warehouse, determines the part kinds of goods in the first warehouse;And
Based on the part kinds of goods, the kinds of goods characterization value in first warehouse is determined,
Wherein, described first includes: with odd number
Quantity comprising the kinds of goods He the specific indent of other kinds of goods, wherein only include first storehouse in the specific indent Kinds of goods in library;Or
Quantity comprising the kinds of goods He all orders of other kinds of goods.
3. according to the method described in claim 1, wherein, the kinds of goods characterization value in first warehouse includes the portion in the first warehouse Point or whole kinds of goods kinds of goods vector centroid vector.
4. described to be based on the kinds of goods characterization value and at least one second warehouse according to the method described in claim 1, wherein In each kinds of goods kinds of goods vector, the specific of first warehouse is determined from the kinds of goods in second warehouse Kinds of goods include:
Based on the order data, the second same odd number of each kinds of goods in the second warehouse is determined, wherein described second the same as odd number Quantity including the order that the kinds of goods and other kinds of goods occur simultaneously;
The first same odd number based on each kinds of goods in first warehouse, determines the part kinds of goods in the first warehouse;And
Based on the kinds of goods vector of the part kinds of goods, the Specific Goods in first warehouse is determined.
5. described to be based on the kinds of goods characterization value and at least one second warehouse according to the method described in claim 3, wherein In each kinds of goods kinds of goods vector, the specific of first warehouse is determined from the kinds of goods in second warehouse Kinds of goods include:
Determine the kinds of goods vector of each kinds of goods in the second warehouse at a distance from the centroid vector;And
Based on the distance, the Specific Goods in first warehouse is determined from the kinds of goods in second warehouse.
6. it is described to be based on the distance according to the method described in claim 5, wherein, from the kinds of goods in second warehouse The Specific Goods for determining first warehouse includes:
The second same odd number based on each kinds of goods in the distance and second warehouse, from second warehouse The Specific Goods in first warehouse is determined in kinds of goods.
7. according to the method described in claim 1, further include:
The second of available stock amount based on the first warehouse and each kinds of goods in second warehouse with odd number, determine to It is transferred to the quantity of the Specific Goods in first warehouse.
8. a kind of warehouse selection system, comprising:
Module is obtained, for obtaining multiple order datas, wherein include the information of multiple kinds of goods in each order data;
First determining module determines the kinds of goods vector of each kinds of goods for being based on the order data;
Second determining module determines the kinds of goods table in first warehouse for the kinds of goods vector based on the kinds of goods in the first warehouse Value indicative;And
Third determining module, for the kinds of goods based on each kinds of goods in the kinds of goods characterization value and at least one second warehouse Vector determines the Specific Goods in first warehouse from the kinds of goods in second warehouse.
9. system according to claim 8, wherein second determining module includes:
First determines submodule, for determining the first same odd number of each kinds of goods in the first warehouse based on the order data, Wherein, the quantity of the described first order occurred simultaneously with odd number including the kinds of goods and other kinds of goods;
Second determines submodule, for first based on each kinds of goods in first warehouse with odd number, determines the first warehouse In part kinds of goods;And
Third determines submodule, for determining the kinds of goods characterization value in first warehouse based on the part kinds of goods,
Wherein, described first includes: with odd number
Quantity comprising the kinds of goods He the specific indent of other kinds of goods, wherein only include first storehouse in the specific indent Kinds of goods in library;Or
Quantity comprising the kinds of goods He all orders of other kinds of goods.
10. system according to claim 8, wherein the kinds of goods characterization value in first warehouse includes in the first warehouse The centroid vector of the kinds of goods vector of part or all of kinds of goods.
11. system according to claim 8, wherein the third determining module includes:
4th determines submodule, for determining the second same odd number of each kinds of goods in the second warehouse based on the order data, Wherein, the quantity of the described second order occurred simultaneously with odd number including the kinds of goods and other kinds of goods;
5th determines submodule, for first based on each kinds of goods in first warehouse with odd number, determines the first warehouse In part kinds of goods;And
6th determines that submodule determines first warehouse for the kinds of goods vector based on the part kinds of goods Specific Goods.
12. system according to claim 10, wherein the third determining module includes:
7th determine submodule, for determine each kinds of goods in the second warehouse kinds of goods vector and the centroid vector away from From;And
8th determines submodule, and for being based on the distance, determination is to be transferred to described from the kinds of goods in second warehouse The Specific Goods in the first warehouse.
13. system according to claim 12, wherein the described 8th determines that submodule is used for:
The second same odd number based on each kinds of goods in the distance and second warehouse, from second warehouse The Specific Goods in first warehouse is determined in kinds of goods.
14. system according to claim 8, further includes:
4th determining module, for each kinds of goods in the available stock amount based on the first warehouse and second warehouse Second, with odd number, determines the quantity of the Specific Goods in first warehouse.
15. a kind of electronic equipment, comprising:
Processor;And
Memory, for storing executable instruction, wherein when described instruction is executed by the processor, so that the processing Device executes the method as described in any one of claim 1~7.
16. a kind of computer-readable medium is stored thereon with executable instruction, processor is made when described instruction is executed by processor Execute the method as described in any one of claim 1~7.
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