CN113762576A - Article allocation method and device, electronic equipment and medium - Google Patents
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Abstract
The invention discloses an article allocation method, an article allocation device, electronic equipment and a medium, and relates to the technical field of big data analysis and warehouse logistics. One embodiment of the method comprises: acquiring inventory information, ex-warehouse information and article allocation information of a target article; calculating inventory data and ex-warehouse data of the target object according to the inventory information, the ex-warehouse information and the object allocation information; setting a threshold value according to the ex-warehouse data; and determining an evaluation result of the item information according to the threshold and the inventory data in a mode that the daily delivery volume of the target item in the delivery information is subjected to normal distribution, and performing item allocation according to the evaluation result. The implementation mode can provide support for optimizing the item allocation model, and can flexibly evaluate item information of each dimension so as to allocate the items.
Description
Technical Field
The invention relates to the field of big data analysis and warehouse logistics, in particular to a method and a device for allocating articles, electronic equipment and a medium.
Background
The existing article transfer method mainly examines indexes such as inventory fund turnover rate, inventory service level and the like. However, these indexes are all comprehensive accumulative indexes over a period of time, and are influenced by multiple factors, and have the following disadvantages: whether the single article allocation behavior is reasonable cannot be evaluated, and further, experience teaching and training cannot be absorbed through backtracking of historical article allocation behaviors, so that guidance is provided for future article allocation optimization; the reasons of high turnover or low stock-in-stock rate can not be identified, so that the defects of the article allocation model can not be identified, and support is provided for optimization of the article allocation model; and because of the difference between the articles, the difficulty of achieving the same index level is different, so the performance level responsible for the acquisition and the sale of different articles cannot be evaluated.
Disclosure of Invention
In view of this, embodiments of the present invention provide an article allocation method, an apparatus, an electronic device, and a medium, which are capable of reviewing each article allocation behavior with real inventory, article allocation, and ex-warehouse quantity backtracking history, providing guidance for optimizing subsequent article allocation behaviors, evaluating expressions of different article allocation models, screening a more optimal article allocation model, identifying reasons for unreasonable article information, providing support for optimizing the article allocation model, and flexibly evaluating article information of each dimension, so as to allocate articles.
To achieve the above object, according to a first aspect of the embodiments of the present invention, there is provided an article allocation method, including the steps of:
acquiring inventory information, ex-warehouse information and article allocation information of a target article,
calculating the inventory data and the ex-warehouse data of the target object according to the inventory information, the ex-warehouse information and the object allocation information,
setting a threshold value according to the ex-warehouse data, and
and determining an evaluation result of the item information according to the threshold and the inventory data in a mode that the daily delivery volume of the target item in the delivery information is subjected to normal distribution, and performing item allocation according to the evaluation result.
Optionally, the inventory information includes a daily orderable inventory quantity of the target item,
the delivery information includes attribute information of the target item, and
the article allocation information comprises the safety stock days, the article allocation period, the article allocation amount, the real safety stock days and the target stock days of the target article.
Optionally, the inventory data comprises the orderable inventory before the transfer of the article, the number of days of ex-warehouse of the orderable inventory before the transfer of the article, the orderable inventory after the transfer of the article, the number of days of ex-warehouse of the orderable inventory after the transfer of the article,
the ex-warehouse data comprises the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in the days of safety stock, the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in an article allocation period, the sum of the real ex-warehouse quantity in the days of real safety stock and the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in the days of target stock, and
the threshold value comprises a safety stock threshold value, a target stock threshold value, an orderable stock ex-warehouse day threshold value before article allocation and an orderable stock ex-warehouse day threshold value after article allocation.
Optionally, the item allocation cycle is shortened when any one of the following conditions is met:
the orderable inventory before the transfer of the goods is smaller than the lower limit of the safety inventory threshold interval; and
the number of days of warehouse-out that can be ordered before the article is allocated is less than the lower limit of the threshold interval of the number of days of warehouse-out that can be ordered before the article is allocated, and
and when the following conditions are met, prolonging the article allocation period:
the orderable inventory amount before the article is allocated is larger than the upper limit of the threshold interval of the safe inventory amount, and the orderable inventory amount ex-warehouse days before the article is allocated are larger than the upper limit of the threshold interval of the orderable inventory amount ex-warehouse days before the article is allocated.
Optionally, when the item allocation cycle is shortened or lengthened, the attribution results are determined in the following priority order: the number of safe stock days is set to be smaller than or larger than an actual value, the predicted delivery amount of the target item is smaller than or larger than the actual value, and the delivery time of the supplier is larger than the actual value.
Optionally, the item allocation amount is increased when any one of the following conditions is satisfied:
the orderable inventory after the transfer of the goods is smaller than the lower limit of the threshold interval of the target inventory; and
the number of days of warehouse-out that can be ordered after the article is allocated is less than the lower limit of the threshold interval of the number of days of warehouse-out that can be ordered after the article is allocated, and
when the following conditions are satisfied, the article allocation amount is reduced
The orderable inventory after the article is allocated is larger than the upper limit of the threshold interval of the target inventory, and the orderable inventory ex-warehouse days after the article is allocated are larger than the upper limit of the threshold interval of the orderable inventory ex-warehouse days after the article is allocated.
Optionally, when increasing or decreasing the item allocation amount, the attribution results are determined in the following priority order: the method comprises the steps that an article allocation bin of a target article covers a network structure, new article allocation is carried out, the number of days in safety stock is smaller than an actual value, the number of days in safety stock is larger than an actual value, the predicted delivery amount of the target article is smaller than an actual value, and the predicted delivery amount of the target article is larger than an actual value.
Optionally, the method for transferring an item further includes the following steps:
summarizing the evaluation result proportion of the item information in a specific time and the attribution result proportion corresponding to the evaluation result; and is
And sending the collected data to an article allocation system to adjust an article allocation mode.
According to a second aspect of embodiments of the present invention, there is provided an article allocation device comprising:
an information acquisition module for acquiring the inventory information, the ex-warehouse information and the article allocation information of the target article,
a data calculation module for calculating the stock data and the delivery data of the target object according to the stock information, the delivery information and the object allocation information,
a threshold setting module for setting a threshold according to the ex-warehouse data, and
and the article allocation module is used for determining an evaluation result of the article information according to the threshold and the inventory data in a mode that the daily delivery quantity of the target article in the delivery information is subjected to normal distribution, and performing article allocation according to the evaluation result.
Alternatively, in the article allocation device of the embodiment of the present invention,
the inventory information includes a daily orderable inventory quantity of the target item,
the delivery information includes attribute information of the target item, and
the article allocation information comprises the safety stock days, the article allocation period, the article allocation amount, the real safety stock days and the target stock days of the target article.
Alternatively, in the article allocation device of the embodiment of the present invention,
the inventory data comprises the quantity of the orderable inventory before the transfer of the articles, the quantity of the ex-warehouse days before the transfer of the articles, the quantity of the orderable inventory after the transfer of the articles, the quantity of the ex-warehouse days after the transfer of the articles,
the ex-warehouse data comprises the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in the days of safety stock, the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in an article allocation period, the sum of the real ex-warehouse quantity in the days of real safety stock and the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in the days of target stock, and
the threshold value comprises a safety stock threshold value, a target stock threshold value, an orderable stock ex-warehouse day threshold value before article allocation and an orderable stock ex-warehouse day threshold value after article allocation.
Optionally, in the article allocation device according to the embodiment of the present invention, the article allocation module is further configured to:
shortening the item allocation cycle when any one of the following conditions is satisfied:
the orderable inventory before the transfer of the goods is smaller than the lower limit of the safety inventory threshold interval; and
the number of days of warehouse-out that can be ordered before the article is allocated is less than the lower limit of the threshold interval of the number of days of warehouse-out that can be ordered before the article is allocated, and
when the following conditions are satisfied, the article allocation period is prolonged
The orderable inventory amount before the article is allocated is larger than the upper limit of the threshold interval of the safe inventory amount, and the orderable inventory amount ex-warehouse days before the article is allocated are larger than the upper limit of the threshold interval of the orderable inventory amount ex-warehouse days before the article is allocated.
Optionally, the article allocation device according to the embodiment of the present invention further includes a cause result determining module, configured to:
when shortening or extending the item allocation cycle, the attribution module determines attribution results in the following priority order: the number of safe stock days is set to be smaller than or larger than an actual value, the predicted delivery amount of the target item is smaller than or larger than the actual value, and the delivery time of the supplier is larger than the actual value.
Optionally, in the article allocation device according to the embodiment of the present invention, the article allocation module is further configured to:
increasing the item allocation amount when any one of the following conditions is satisfied:
the orderable inventory after the transfer of the goods is smaller than the lower limit of the threshold interval of the target inventory; and
the number of days of warehouse-out that can be ordered after the article is allocated is less than the lower limit of the threshold interval of the number of days of warehouse-out that can be ordered after the article is allocated, and
reducing the article allocation amount when the following conditions are satisfied:
the orderable inventory after the article is allocated is larger than the upper limit of the threshold interval of the target inventory, and the orderable inventory ex-warehouse days after the article is allocated are larger than the upper limit of the threshold interval of the orderable inventory ex-warehouse days after the article is allocated.
Optionally, in the article allocation device according to the embodiment of the present invention, the cause result determining module is further configured to:
when increasing or decreasing the item allocation amount, the attribution module determines attribution results in the following priority order: the method comprises the steps that an article allocation bin of a target article covers a network structure, new article allocation is carried out, the number of days in safety stock is smaller than an actual value, the number of days in safety stock is larger than an actual value, the predicted delivery amount of the target article is smaller than an actual value, and the predicted delivery amount of the target article is larger than an actual value.
Optionally, the article transferring device of the embodiment of the present invention further includes:
the summarizing module is used for summarizing the evaluation result proportion of the item information in specific time and the attribution result proportion corresponding to the evaluation result; and
and the adjusting module is used for sending the summarized data to the article allocation system so as to adjust the article allocation mode.
According to an aspect of an embodiment of the present invention, there is provided an electronic device for item dialing, including:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of the first aspect of embodiments of the invention.
According to a fourth aspect of embodiments of the present invention, there is provided a computer readable medium, on which a computer program is stored, which when executed by a processor, performs the method of the first aspect of embodiments of the present invention.
One embodiment of the above invention has the following advantages or benefits: because the history is backtracked by the real inventory, article allocation and ex-warehouse quantity, the article allocation behaviors at each time can be replied, guidance is provided for the optimization of the subsequent article allocation behaviors, the performance of different article allocation models can be evaluated, more excellent article allocation models are screened, unreasonable reasons of article information can be identified, support is provided for the optimization of the article allocation models, and the article information of each dimension can be flexibly evaluated so as to allocate articles.
Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a schematic diagram of a main flow of an item allocation method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a main flow of an item allocation method according to yet another embodiment of the present invention;
FIG. 3 is a schematic diagram of the major modules of an article allocation device according to an embodiment of the invention;
FIG. 4 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 5 is a schematic block diagram of a computer system suitable for use in implementing a terminal device or server of an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Article transferring method
As shown in fig. 1, the method for transferring an article according to the embodiment of the present invention includes: an information acquisition step S101, a data calculation step 102, a threshold setting step 103, and an article allocation step 104.
An information acquisition step 101 of acquiring inventory information, ex-warehouse information, and item allocation information of a target item.
As shown in fig. 2, in an information acquisition step 101, information of a target item in a database is acquired. The information of the target object comprises inventory information, ex-warehouse information and object allocation information.
The inventory information includes the daily orderable inventory of the target item at each bin. The ex-warehouse information comprises daily ex-warehouse quantity of the target item and attribute information of the target item. The attribute information of the target item includes whether the target item is a new item (i.e., an item newly added based on the original item type), a department to which the target item belongs, a category to which the target item belongs, whether the target item is put in a cabinet, and the like.
The commodity allocation information includes an allocation target bin (commodity allocation bin, i.e., bin requiring replenishment), commodity allocation time, estimated arrival time, actual arrival time, commodity allocation amount, arrival quantity, supplier, purchaser, actual safe stock days (VLT (Vendor lead time)), and the like of the target commodity. The item allocation information may further include parameters in the item allocation model, such as the number of days in safety stock (VLT)model) Model safety stock (safety stock)model) Model target inventory (target inventory)model) Article allocation period (VLT)model+NRTmodel(NRT is Next reorder time, i.e., the time interval from the Next order today)). The item allocation information may further include a predicted daily stock-out amount (predicted stock-out amount) of the target item, a predicted safe stock amount, and a predicted target stock amount.
Specifically, the number of days of safety stock refers to a time interval (in days) from the start of placing an order for an item (item placement time) to the expected arrival time; the real safe stock days refer to the time interval (in days) from the placing of an order from the article transfer to the real arrival time, the article transfer cycle refers to the time interval (in days) between two successive article transfers, and the target stock days refer to the time interval (in days) between the real arrival time from the placing of an order from the first article transfer to the second article transfer in two successive article transfer behaviors.
And a data calculation step S102, calculating the stock data and the ex-warehouse data of the target object according to the stock information, the ex-warehouse information and the object allocation information.
In the data calculation step S102, the following stock data is calculated from the information of the target item:
orderable stock before allocating goods (orderable stock)beforeI.e., daily inventory of target items, all available for daily ordering)' (ii),
Orderable stock (orderable stock) after article transferafter)、
Orderable inventorybeforeNumber of days to leave warehouse (pre _ day), and
orderable inventoryafterDay of warehouse-out (post _ day).
Wherein the orderable inventorybeforeThe target article stock is the stock of the target article when the article is placed and orderedafterMeans orderable inventorybeforeAnd the sum of the item allocation quantity of the target item. And then calculating to obtain pre _ day and post _ day according to the warehouse-out information of the target object.
According to the inventory information and the ex-warehouse information of the target object, respectively calculating the following ex-warehouse data:
days of safety stock (VLT)model) Sum of ex-warehouse quantities of inner target articles (sales)VLT_model) And standard deviation of ex warehouse quantity (std)VLT_model)；
Article pick-up period (VLT)model+NRTmodel) Sum of ex-warehouse quantities of inner target articles (sales)VLT_model+NRT_model) And standard deviation of ex warehouse quantity (std)VLT_model+NRT_model)；
Sum of ex-warehouse quantities (sales) of target items within real safety inventory days (VLT)VLT)；
Target days in inventory (VLT)Z_cr+ NRT) (let TD ═ VLTZ_crSum of delivery amounts of target articles (sales) in + NRTTD) And standard deviation of ex warehouse quantity (std)TD)；
Target days in inventory (VLT)Z_cr+ NRT, where VLTZ_crZ, which refers to the empirical distribution of VLT for the target item over the last 3 monthscrQuantile, cr being the desired item satisfaction rate); and
maximum value of VLT empirical distribution for target article for approximately 3 months (VLT)max)。
In the above calculation process, the calculation method of the standard deviation of the shipment quantity is not particularly limited, but in the embodiment of the present invention, the standard deviation of the shipment quantity is calculated in the following manner: firstly, calculating the average value and the actual standard deviation of the ex-warehouse quantity in the statistical period, assuming that the ex-warehouse quantity in each day in the statistical period is in normal distribution, regarding the ex-warehouse quantity which is larger than the average value and the standard deviation of the ex-warehouse quantity plus 3 delta of the ex-warehouse quantity as abnormal ex-warehouse quantity according to the principle of normal distribution 3 delta, and after eliminating the abnormal ex-warehouse quantity, calculating the standard deviation again to be the final ex-warehouse quantity standard deviation.
A threshold setting step S103 of setting a threshold based on the shipment data.
In the threshold value setting step S103, threshold value sections of the safe stock quantity, the target stock quantity, pre _ day, and post _ day are set, respectively.
Specifically, the threshold value interval of the threshold value is set so that the daily delivery amount of the target item is normal. That is, assuming that the daily delivery amount of the target item is normally distributed, the threshold interval is set as follows:
setting the lower limit of the threshold interval of the safe stock quantity as salesVLTAnd the upper limit of the safe stock quantity threshold value interval is set as max (sales)VLT_model+stdVLT_model*Zcr，salesVLT+stdVLT*Zcr)；
Setting the lower limit of the threshold interval of the target stock quantity as salesTDAnd the upper limit of the threshold interval of the target stock quantity is set to salesTD+stdTD*Zcr；
The lower limit of pre _ day threshold interval is set to VLT, and the upper limit of pre _ day threshold interval is set to VLTZ_cr(ii) a And is
The lower limit of the post _ day threshold interval is set to VLTZ_cr+ NRT, with the upper limit of the post _ day threshold interval set to VLTmax+NRT。
And an item allocation step S104, determining an evaluation result of item information according to the threshold and the inventory data in a mode that the daily delivery volume of the target item in the delivery information is subjected to normal distribution, and performing item allocation according to the evaluation result.
In the item transfer step S104, the following comparisons are made:
comparing orderable inventorybeforeWhether the current time is within the threshold interval of the safe stock;
comparing orderable inventoryafterWhether the current time is within a target inventory threshold interval;
comparing whether pre _ day is within a pre _ day threshold interval; and
it is compared whether post _ day is within the post _ day threshold interval.
And then, according to the comparison result, whether the article information is reasonable or not is evaluated, and then the article is allocated according to the evaluation result (including reasonable and unreasonable). Specifically, the rationality of the item information is evaluated mainly from two aspects, namely an item allocation period and an item allocation amount.
When any one of the following conditions is met, the article allocation time is judged to be too late, namely 'late adjustment', and the article allocation period can be shortened according to the evaluation result:
(1) orderable inventorybeforeLess than a lower limit of a threshold interval of a safe inventory, an
(2) pre _ day is less than the lower limit of the pre _ day threshold interval; and is
When the following conditions are met, the article allocation time is judged to be too early, namely 'early adjustment', and the article allocation period can be prolonged according to the evaluation result:
(3) orderable inventorybeforeGreater than the upper limit of the safe inventory threshold interval and pre _ day greater than the upper limit of the pre _ day threshold interval.
When any one of the following conditions is met, the article allocation amount is judged to be too small, namely, the article allocation amount is judged to be too small, and the article allocation amount can be increased directly according to the evaluation result:
(1) orderable inventoryafterA lower limit less than a target inventory threshold interval, an
(2) post _ day is less than the lower limit of the post _ day threshold interval;
when the following conditions are met, the article allocation amount is judged to be excessive, namely, the article allocation amount is adjusted to be excessive, and the article allocation amount can be reduced according to the evaluation result:
(3) orderable inventoryafterIs greater than the upper limit of the target stock quantity threshold interval and the post _ day is greater than the upper limit of the post _ day threshold interval.
When the above conditions are not met, the article information is judged to be reasonable, and article allocation is carried out according to an original allocation mode (an original allocation period and an original allocation quantity) without adjusting the article allocation.
As described above, the unreasonable timing of the article allocation mainly includes two cases of "early adjustment" and "late adjustment", and the unreasonable amount of the article allocation mainly includes two cases of "less adjustment" and "more adjustment". When the article information is judged to be unreasonable, the article information can be marked according to the standards in terms of 'early adjustment', 'late adjustment', 'less adjustment' and 'more adjustment'.
In an embodiment of the present invention, the method for transferring an item of the present invention further includes a attribution step S105, a summarizing step S106, and an adjusting step S107.
Attribution step S105
As shown in fig. 2, in the attribution step S104, attribution processing is performed on the article information judged to be not reasonable and marked in the data evaluation step S104, and then the original set allocation manner is adjusted according to the attribution result (corresponding to a subset of the evaluation result)
Attributing the article information judged that the article allocation timing is unreasonable according to the following priority order:
(1) if the article information is marked as "late", and VLTmodelIf the value is smaller than the lower limit of the pre _ day threshold interval, the reason that the unreasonable article allocation time is determined to be VLT in the article allocation modelmodelSetting to be small, namely, smaller than an actual value; if the article information is marked as "early tune", and VLTmodelIf the value is larger than the upper limit of the pre _ day threshold interval, the reason that the unreasonable article allocation time is determined to be VLT in the article allocation modelmodelThe setting is larger, i.e. larger than the actual value;
(2) if the article information is marked as "late", and VLTmodelThe setting is reasonable, and the predicted ex-warehouse quantity is smaller than the real ex-warehouse quantity, the reason that the time for transferring the articles is unreasonable is judged because the predicted ex-warehouse quantity is smaller, namely, smaller than the actual value; if the article information is marked as "early tune", and VLTmodelThe setting is reasonable, and the predicted delivery amount is larger than the real delivery amount, so that the reason that the time for transferring the articles is unreasonable is judged to be larger than the actual value because the predicted delivery amount is larger.
(3) If VLT>VLTz_crAnd pre _ day<VLT, and the article information is judged to be 'late', the reason that the article allocation time is unreasonable is judged to be that the delivery time of the supplier is longer than the actual value.
On the other hand, the article information judged that the article allocation amount is not reasonable is attributed in the following order of priority:
(1) if the area covered by the article allocation bin is changed and the article allocation amount is judged to be unreasonable within a period of time after the article is allocated, judging that the unreasonable article allocation amount is caused by the change of the coverage network structure;
(2) if the attribute of the article is a new article and the article allocation amount is judged to be unreasonable, judging that the reason why the article allocation amount is unreasonable is new article allocation;
(3) if VLTmodel+NRTmodelIs less than the lower limit of the threshold interval of post _ day, and the article information is marked as 'less adjustment', the reason that the article transfer amount is unreasonable is judged to be VLTmodelSetting to be small, namely, smaller than an actual value;
(4) if VLTmodel+NRTmodelIs larger than the upper limit of the post _ day threshold interval, and the article information is marked as 'more than needed', the reason that the unreasonable article transfer amount is determined to be VLTmodelThe setting is larger, i.e. larger than the actual value;
(5) if the target inventory amountmodelIf the predicted quantity of the goods is smaller than the real quantity of the goods, the reason that the goods allocation time is unreasonable is judged to be that the predicted quantity of the goods is smaller, namely smaller than the actual value;
(6) if the target inventory amountmodelAnd if the maximum value of the target stock quantity threshold is exceeded, the article information is marked as the quantity of the articles to be dispatched is increased, and the predicted delivery volume is larger than the real delivery volume, the reason that the timing of dispatching the articles is unreasonable is judged to be that the predicted delivery volume is larger, namely, the predicted delivery volume is larger than the actual value.
Step S106
As shown in fig. 2, in the summarizing step S106, the reasonable percentage of all the item information in a specific time period, and the respective percentages of the unreasonable causes and the unreasonable causes are summarized. For example, X pieces of item information are collectively evaluated in the data evaluation step S104, wherein it is determined that N pieces of item information are unreasonable, and in the attribution step S105, the N pieces of unreasonable item information are attributed, obtaining a total of M causes causing the unreasonable item information. At this time, in the aggregating step 106, the following information is aggregated:
(1) the rational proportion of the item information, i.e., N/X,
(2) m specific reasons for the unreasonable item information,
(3) the number of causes (M1, M2, M3 … …) is proportional to the unreasonable total, i.e., M1/M, M2/M, M3/M … ….
Adjustment step S107
In the download step S107, the aggregated data is sent to the purchasing system. The buyer can refer to the summarized data when transferring the articles to adjust the article transferring mode (such as increasing the number of the articles to be transferred, shortening the transferring time and the like) so as to provide reference for the article information of the buyer and avoid repeated unreasonable behaviors.
Article transferring device
One embodiment of the present invention provides an apparatus 300 for implementing the method of the present invention for transferring items.
As shown in fig. 3, the article transferring apparatus 300 of the present invention includes:
the information acquisition module 301, the information acquisition module 301 is configured to acquire inventory information, ex-warehouse information, and item allocation information of the target item;
a data calculation module 302, wherein the data calculation module 302 is configured to calculate inventory data and ex-warehouse data of the target item based on the inventory information, the ex-warehouse information, and the item allocation information;
a threshold setting module 303, where the threshold setting module 303 is configured to set a threshold based on the ex-warehouse data in such a manner that the daily ex-warehouse quantities of the target items in the ex-warehouse information all follow normal distribution; and
and an item allocation module 304, wherein the item allocation module 304 is configured to determine an evaluation result of the item information based on a comparison result of the inventory data and the threshold, and allocate an item according to the evaluation result.
According to an embodiment of the present invention, the article transferring apparatus 300 further comprises:
an attribution module 305 (i.e., attribution result determination module), the attribution module 305 being configured to attribute information of the article determined to be unreasonable and marked;
the summarizing module 306 is used for summarizing the reasonable proportion of the article information in a specific time, the unreasonable reason and the proportion of each reason in the unreasonable reason; and
and an adjusting module 307, wherein the adjusting module 307 is used for downloading the data summarized by the summarizing module 306 to the item allocating system for the reference of the buyer.
Fig. 4 illustrates an exemplary system architecture 400 of an item allocation method or an item allocation apparatus to which embodiments of the present invention may be applied.
As shown in fig. 4, the system architecture 400 may include terminal devices 401, 402, 403, a network 404, and a server 405. The network 404 serves as a medium for providing communication links between the terminal devices 401, 402, 403 and the server 405. Network 404 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use terminal devices 401, 402, 403 to interact with a server 405 over a network 404 to receive or send messages or the like. The terminal devices 401, 402, 403 may have installed thereon various communication client applications, such as shopping-like applications, web browser applications, search-like applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 401, 402, 403 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 405 may be a server providing various services, such as a background management server (for example only) providing support for an item-calling/data-processing-type website browsed by a user using the terminal devices 401, 402, 403. The background management server may analyze and perform other processing on the received data such as the inventory information, the ex-warehouse information, and the article allocation information, and feed back a processing result (for example, an evaluation result — just an example) to the terminal device.
It should be noted that the item allocating method provided by the embodiment of the present invention is generally executed by the server 405, and accordingly, the item allocating apparatus is generally disposed in the server 505.
It should be understood that the number of terminal devices, networks, and servers in fig. 4 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 5, shown is a block diagram of a computer system 500 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the computer system 500 includes a Central Processing Unit (CPU)501 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the system 500 are also stored. The CPU 501, ROM 502, and RAM 503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following components are connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.
In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 501.
It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules described in the embodiments of the present invention may be implemented by software or hardware. The described modules may also be provided in a processor, which may be described as: a processor comprises an information acquisition module, a data calculation module, a threshold setting module and an article allocation module. For example, the item allocation module may be further described as "a module for determining an evaluation result of the item information according to the threshold and the inventory data and performing item allocation according to the evaluation result in such a manner that the daily delivery amount of the target item in the delivery information is normally distributed".
As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to comprise: acquiring inventory information, ex-warehouse information and article allocation information of a target article, calculating inventory data and ex-warehouse data of the target article according to the inventory information, the ex-warehouse information and the article allocation information, setting a threshold value according to the ex-warehouse data in a mode that the daily ex-warehouse quantity of the target article in the ex-warehouse information is in normal distribution, evaluating whether the article information is reasonable according to a comparison result of the inventory information and the threshold value, and performing article allocation according to the evaluation result.
According to the technical scheme of the embodiment of the invention, the article allocation method and the article allocation device can backtrack the history by the real inventory, article allocation and ex-warehouse quantity, can retake each article allocation behavior, provide guidance for the optimization of the subsequent article allocation behavior, evaluate the performances of different article allocation models, screen out more optimal article allocation models, identify the reason of unreasonable article information, provide support for optimizing the article allocation models and flexibly evaluate the article information of each dimension so as to allocate articles.
The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (11)
1. An article allocation method is characterized by comprising the following steps:
acquiring inventory information, ex-warehouse information and article allocation information of a target article;
calculating inventory data and ex-warehouse data of the target object according to the inventory information, the ex-warehouse information and the object allocation information;
setting a threshold value according to the ex-warehouse data; and is
And determining an evaluation result of the item information according to the threshold and the inventory data in a mode that the daily delivery volume of the target item in the delivery information is subjected to normal distribution, and performing item allocation according to the evaluation result.
2. The method of claim 1,
the inventory information includes a daily orderable inventory quantity of the target item,
the delivery information includes attribute information of the target item, and
the article allocation information comprises the safety stock days, the article allocation period, the article allocation amount, the real safety stock days and the target stock days of the target article.
3. The method of claim 2,
the inventory data comprises the quantity of the orderable inventory before the transfer of the articles, the quantity of the ex-warehouse days before the transfer of the articles, the quantity of the orderable inventory after the transfer of the articles, the quantity of the ex-warehouse days after the transfer of the articles,
the ex-warehouse data comprises the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in the days of safety stock, the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in an article allocation period, the sum of the real ex-warehouse quantity in the days of real safety stock and the sum of the real ex-warehouse quantity and the standard deviation of the ex-warehouse quantity in the days of target stock, and
the threshold value comprises a safety stock threshold value, a target stock threshold value, an orderable stock ex-warehouse day threshold value before article allocation and an orderable stock ex-warehouse day threshold value after article allocation.
4. The method of claim 3,
shortening the item allocation cycle when any one of the following conditions is satisfied:
the orderable inventory before the transfer of the goods is smaller than the lower limit of the safety inventory threshold interval; and
the number of days of warehouse-out that can be ordered before the article is allocated is less than the lower limit of the threshold interval of the number of days of warehouse-out that can be ordered before the article is allocated, and
and when the following conditions are met, prolonging the article allocation period:
the orderable inventory amount before the article is allocated is larger than the upper limit of the threshold interval of the safe inventory amount, and the orderable inventory amount ex-warehouse days before the article is allocated are larger than the upper limit of the threshold interval of the orderable inventory amount ex-warehouse days before the article is allocated.
5. The method of claim 4,
when shortening or extending the item allocation cycle, determining attribution results in the following priority order: the number of safe stock days is set to be smaller than or larger than an actual value, the predicted delivery amount of the target item is smaller than or larger than the actual value, and the delivery time of the supplier is larger than the actual value.
6. The method of claim 3,
increasing the item allocation amount when any one of the following conditions is satisfied:
the orderable inventory amount after the transfer of the article is smaller than the lower limit of the threshold interval of the target inventory amount, an
The number of days of warehouse-out that can be ordered after the article is allocated is less than the lower limit of the threshold interval of the number of days of warehouse-out that can be ordered after the article is allocated, and
reducing the article allocation amount when the following conditions are satisfied:
the orderable inventory after the article is allocated is larger than the upper limit of the threshold interval of the target inventory, and the orderable inventory ex-warehouse days after the article is allocated are larger than the upper limit of the threshold interval of the orderable inventory ex-warehouse days after the article is allocated.
7. The method of claim 6,
when increasing or decreasing the item allocation amount, attribution results are determined in the following priority order: the method comprises the steps that an article allocation bin of a target article covers a network structure, new article allocation is carried out, the number of days in safety stock is smaller than an actual value, the number of days in safety stock is larger than an actual value, the predicted delivery amount of the target article is smaller than an actual value, and the predicted delivery amount of the target article is larger than an actual value.
8. The method of any one of claims 1 to 7, further comprising the steps of:
summarizing the evaluation result proportion of the item information in a specific time and the attribution result proportion corresponding to the evaluation result; and is
And sending the collected data to an article allocation system to adjust an article allocation mode.
9. An article transferring device, comprising:
the information acquisition module is used for acquiring inventory information, ex-warehouse information and article allocation information of the target article;
the data calculation module is used for calculating the inventory data and the ex-warehouse data of the target object according to the inventory information, the ex-warehouse information and the object allocation information;
the threshold setting module is used for setting a threshold according to the ex-warehouse data; and
and the article allocation module is used for determining an evaluation result of the article information according to the threshold and the inventory data in a mode that the daily delivery quantity of the target article in the delivery information is subjected to normal distribution, and performing article allocation according to the evaluation result.
10. An electronic device for item dialing, comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
11. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1-8.
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