CN113537861A - Replenishment method and replenishment device - Google Patents

Replenishment method and replenishment device Download PDF

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CN113537861A
CN113537861A CN202010301900.5A CN202010301900A CN113537861A CN 113537861 A CN113537861 A CN 113537861A CN 202010301900 A CN202010301900 A CN 202010301900A CN 113537861 A CN113537861 A CN 113537861A
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replenishment
target
arrival
inventory
target object
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CN113537861B (en
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孙泽
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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Beijing Jingdong Zhenshi Information Technology Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials

Abstract

The invention discloses a replenishment method and a replenishment device, and relates to the field of storage logistics. One embodiment of the method comprises: acquiring an arrival mode corresponding to a target article, and determining replenishment lead time data corresponding to the target article based on a replenishment lead time calculation rule in the arrival mode; acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object; and determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory of the target item based on the inventory checking strategy corresponding to the target item. The implementation method can meet the business requirement of multiple arrival of goods in one-time replenishment in a supply chain, achieves the effect of reducing storage cost and order cost, and is high in practicability.

Description

Replenishment method and replenishment device
Technical Field
The invention relates to the field of warehouse logistics, in particular to a replenishment method and a replenishment device.
Background
With the rapid development of the logistics industry, the purchasing replenishment theory in the supply chain is gradually mature, a replenishment party sends a replenishment order to a supplier, the supplier sends the goods when receiving the replenishment order, and the goods are delivered to the replenishment party after a certain time. However, in the case that the stock of the supplier is insufficient or the supplier does not want to store more goods in the own production rhythm, one replenishment order is divided into a plurality of sub-orders, the supplier sends the goods to the replenishment party according to the plurality of sub-orders, and finally the replenishment party receives the goods for a plurality of times.
For the scene of multiple arrival, the arrival time is irregular every time and the arrival quantity is not uniform, that is, the arrival time and the received quantity of the goods are uncertain every time of the replenishment party, which results in the increase of the storage cost and the order cost of the goods, and for the situation of multiple arrival, the prior art does not provide a replenishment strategy.
Disclosure of Invention
In view of this, embodiments of the present invention provide a replenishment method and a replenishment device, which can meet business requirements of multiple arrival of replenishment in a supply chain, achieve the effects of reducing storage cost and order cost, and have high practicability.
To achieve the above object, according to a first aspect of embodiments of the present invention, a replenishment method is provided.
The replenishment method provided by the embodiment of the invention comprises the following steps: acquiring a goods arrival mode corresponding to a target article, and determining goods replenishment lead period data corresponding to the target article based on a goods replenishment lead period calculation rule in the goods arrival mode; acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object; and determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking strategy corresponding to the target item.
Optionally, the arrival mode includes any one of the following options: an article arrival pattern with fixed timing and quantity, and an article arrival pattern with fixed timing and quantity.
Optionally, the determining of the replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode includes: if the arrival mode is an article timing and quantitative arrival mode, acquiring at least one first arrival time corresponding to the target article; calculating a replenishment lead period average value corresponding to the target object according to the at least one first arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
Optionally, the determining of the replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode includes: if the arrival mode is an article timing non-quantitative arrival mode, acquiring at least one second arrival time corresponding to the target article and the arrival quantity corresponding to the at least one second arrival time; calculating the weight corresponding to the at least one second arrival time according to the arrival quantity corresponding to the at least one second arrival time; calculating a replenishment lead period average value corresponding to the target object according to the at least one second arrival time and the weight corresponding to the at least one second arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
Optionally, the determining of the replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode includes: if the arrival mode is an article irregular-time irregular-quantity arrival mode, acquiring historical order arrival data corresponding to the target article; calculating the average arrival time of the order corresponding to the target object according to the historical order arrival data corresponding to the target object; and calculating the average value of the replenishment lead period and the standard deviation of the replenishment lead period corresponding to the target object according to the average arrival time of the order.
Optionally, the obtaining a replenishment point corresponding to the target item according to the historical demand data corresponding to the target item and the replenishment lead period data corresponding to the target item includes: acquiring a demand satisfaction rate corresponding to the target article, and determining a distribution parameter value corresponding to the target article according to the demand satisfaction rate; acquiring a demand average value corresponding to the target article and a demand standard deviation corresponding to the target article according to historical demand data corresponding to the target article; and calculating a replenishment point corresponding to the target object according to the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
Optionally, the determining, based on the inventory checking policy corresponding to the target item, the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item includes: and under the condition that the inventory checking strategy is continuous checking, judging whether the current inventory is less than the replenishment point, if so, directly determining that the preset fixed quantity is the replenishment quantity of the target object.
Optionally, before determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking policy corresponding to the target item, the method further includes: acquiring a preset inventory checking period under the condition that the inventory checking strategy is periodic inventory checking; and calculating the target inventory corresponding to the target object according to the preset inventory cycle, the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
Optionally, the determining, based on the inventory checking policy corresponding to the target item, the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item includes: under the condition that the inventory checking strategy is periodic inventory checking, judging whether the current inventory is less than the replenishment point or judging whether the current inventory is less than the target inventory; and if so, determining that the difference value between the target inventory and the current inventory is the replenishment quantity of the target object.
Optionally, the current inventory amount of the target item is a sum of the current warehouse inventory amount of the target item and the in-transit inventory amount of the target item.
To achieve the above object, according to a second aspect of an embodiment of the present invention, there is provided a replenishment device.
The replenishment device of the embodiment of the invention comprises: the determining module is used for acquiring a goods arrival mode corresponding to a target article and determining replenishment lead period data corresponding to the target article based on a replenishment lead period calculation rule in the goods arrival mode; the acquisition module is used for acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object; and the replenishment module is used for determining the replenishment quantity of the target object according to the replenishment point corresponding to the target object and the current inventory of the target object based on the inventory checking strategy corresponding to the target object.
Optionally, the arrival mode includes any one of the following options: an article arrival pattern with fixed timing and quantity, and an article arrival pattern with fixed timing and quantity.
Optionally, the determining module is further configured to: if the arrival mode is an article timing and quantitative arrival mode, acquiring at least one first arrival time corresponding to the target article; calculating a replenishment lead period average value corresponding to the target object according to the at least one first arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
Optionally, the determining module is further configured to: if the arrival mode is an article timing non-quantitative arrival mode, acquiring at least one second arrival time corresponding to the target article and the arrival quantity corresponding to the at least one second arrival time; calculating the weight corresponding to the at least one second arrival time according to the arrival quantity corresponding to the at least one second arrival time; calculating a replenishment lead period average value corresponding to the target object according to the at least one second arrival time and the weight corresponding to the at least one second arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
Optionally, the determining module is further configured to: if the arrival mode is an article irregular-time irregular-quantity arrival mode, acquiring historical order arrival data corresponding to the target article; calculating the average arrival time of the order corresponding to the target object according to the historical order arrival data corresponding to the target object; and calculating the average value of the replenishment lead period and the standard deviation of the replenishment lead period corresponding to the target object according to the average arrival time of the order.
Optionally, the obtaining module is further configured to: acquiring a demand satisfaction rate corresponding to the target article, and determining a distribution parameter value corresponding to the target article according to the demand satisfaction rate; acquiring a demand average value corresponding to the target article and a demand standard deviation corresponding to the target article according to historical demand data corresponding to the target article; and calculating a replenishment point corresponding to the target object according to the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
Optionally, the restocking module is further configured to: and under the condition that the inventory checking strategy is continuous checking, judging whether the current inventory is less than the replenishment point, if so, directly determining that the preset fixed quantity is the replenishment quantity of the target object.
Optionally, the restocking module is further configured to: acquiring a preset inventory checking period under the condition that the inventory checking strategy is periodic inventory checking; and calculating the target inventory corresponding to the target object according to the preset inventory cycle, the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
Optionally, the restocking module is further configured to: under the condition that the inventory checking strategy is periodic inventory checking, judging whether the current inventory is less than the replenishment point or judging whether the current inventory is less than the target inventory; and if so, determining that the difference value between the target inventory and the current inventory is the replenishment quantity of the target object.
Optionally, the current inventory amount of the target item is a sum of the current warehouse inventory amount of the target item and the in-transit inventory amount of the target item.
To achieve the above object, according to a third aspect of embodiments of the present invention, there is provided an electronic apparatus.
An electronic device of an embodiment of the present invention includes: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by one or more processors, the one or more processors realize the replenishment method of the embodiment of the invention.
To achieve the above object, according to a fourth aspect of embodiments of the present invention, there is provided a computer-readable medium.
A computer-readable medium of an embodiment of the present invention has a computer program stored thereon, and the program, when executed by a processor, implements a replenishment method of an embodiment of the present invention.
One embodiment of the above invention has the following advantages or benefits: aiming at different arrival modes, the replenishment lead time calculation rule corresponding to the arrival mode is adopted to determine replenishment lead time data, then replenishment points are determined by utilizing the replenishment lead time data, and finally the replenishment quantity can be obtained, so that the business requirement of multiple arrival of replenishment in a supply chain is met. In addition, in the process of obtaining the replenishment points, historical demand data is taken into account, so that the accuracy of the replenishment points can be improved, and the effects of reducing the storage cost and the order cost are achieved. In addition, in the process of determining the replenishment quantity, different inventory checking strategies are considered, different business requirements can be met, and the practicability of the embodiment of the invention is further improved.
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 the main steps of a replenishment method according to an embodiment of the invention;
FIG. 2 is a schematic illustration of a timed and quantitative arrival pattern of an item according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of a timed non-quantitative arrival pattern of articles according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a main flow of a replenishment method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of the main modules of a replenishment device according to an embodiment of the present invention;
FIG. 6 is an exemplary system architecture diagram in which embodiments of the present invention may be employed;
fig. 7 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.
The main scene of solving of prior art is that after a replenishment order is sent out, goods arrive once after a period of time (there is a case that time is uncertain). However, in an actual scene, a business scene exists in which goods arrive for many times after a replenishment order is sent, and the situations of irregular arrival time and uneven arrival quantity exist, and the prior art does not solve the problem of the situation of multiple arrival at present. In order to solve the above problem, an embodiment of the present invention provides a replenishment method, which can solve a business requirement that replenishment arrives many times in a supply chain. Fig. 1 is a schematic diagram of main steps of a replenishment method according to an embodiment of the present invention, and as shown in fig. 1, the main steps of the replenishment method may include steps S101 to S103.
Step S101: and acquiring an arrival mode corresponding to the target object, and determining replenishment lead time data corresponding to the target object based on a replenishment lead time calculation rule in the arrival mode.
In the embodiment of the present invention, the arrival mode may include: an article arrival pattern with fixed timing and quantity, and an article arrival pattern with fixed timing and quantity. The article timed and quantitative arrival mode refers to that a supplier appoints at a plurality of fixed time points to averagely send articles to a replenishment party every time, for example, the replenishment party sends a replenishment order of 1000 articles A to be replenished to the supplier, the supplier appoints to send 250 articles A to the replenishment party every saturday in the future four weeks, that is, the replenishment party receives 250 articles A every saturday in the future four weeks; the article timing and non-quantitative arrival mode means that a supplier appoints at a plurality of fixed time points to unevenly send articles to a replenishment party each time, for example, the replenishment party sends a replenishment order of 1000 articles A needing replenishment to the supplier, the supplier appoints to send 300 articles A to the replenishment party on the first saturday and the second saturday, and sends 200 articles A to the replenishment party on the third saturday and the fourth saturday; the article sporadic indeterminate and quantitative arrival pattern refers to the logic that the supplier does not have a fixed time or batch delivery, or the supplier agrees to the delivery rules but does not actually follow the rules, i.e., the article sporadic indeterminate and quantitative arrival pattern refers to the supplier delivering the articles sporadically and quantitatively to the restocker.
It is to be noted that, in the embodiment of the present invention, different arrival modes correspond to different replenishment lead time calculation rules, and therefore, after the arrival mode of the target item is determined, the replenishment lead time calculation rule in the arrival mode may be utilized to determine the replenishment lead time data corresponding to the target item. The replenishment lead time refers to the time from the replenishment operation to the final article warehousing in the replenishment operation process, that is, the time from the replenishment order to the receipt of the article, for example, the replenishment order is sent by the replenishment party on monday, and the replenishment lead time is four days if the replenishment party receives the article on friday. Correspondingly, the replenishment lead period calculation rule refers to a rule for calculating the replenishment lead period, that is, a rule for calculating the time from the issuance of the replenishment order to the receipt of the goods. The replenishment lead period data refers to data related to the replenishment lead period, such as a replenishment lead period average value, a replenishment lead period standard deviation and the like.
Step S102: and acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object.
The replenishment lead time data can be determined through the step S101, namely the time data from the sending of the replenishment order to the receiving of the goods is obtained, and then in the step S102, the replenishment point corresponding to the target goods can be calculated and obtained by utilizing the historical demand data corresponding to the target goods and the replenishment lead time data corresponding to the target goods. The replenishment point can be regarded as the minimum stock quantity of the article, and when the stock quantity of the article is lower than the replenishment point, the replenishment operation needs to be performed on the article. The historical demand data can be historical sales data of the articles, and after the historical sales data of the articles are obtained, the future sales of the articles can be predicted by using the historical sales data, so that the historical demand data of the articles play an important role in determining the replenishment point of the articles. According to the replenishment method provided by the embodiment of the invention, the replenishment point is determined by utilizing the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object, and the future sales of the target object and the replenishment lead time of the target object can be taken into account, so that the replenishment point can better meet the effect of an actual scene, and the storage cost and the order cost can be reduced.
Step S103: and determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory of the target item based on the inventory checking strategy corresponding to the target item.
The inventory checking strategy is a method for checking inventory, and may include: continuous inventory and periodic inventory. The continuous inventory is an uninterrupted inventory of the article, and it should be noted that the continuous inventory is an uninterrupted judgment of the article inventory, but the generation of the replenishment order may be performed periodically, for example, the replenishment order is generated once a day; the periodic inventory is to inventory the inventory of the articles according to a preset period, for example, for an article with a high demand, inventory can be set once every three days, and for an article with a low demand, inventory can be set once every week. For the periodic checking, after the goods are checked, the situation of insufficient stock is found, and a replenishment order of the goods can be generated immediately. It should be further noted that, in the embodiment of the present invention, the current inventory amount of the target item refers to the sum of the current warehouse inventory amount of the target item and the in-transit inventory amount of the target item, where the current warehouse inventory amount refers to the number of items stored in the warehouse, the in-transit inventory amount refers to the number of items in transit, and the replenishment amount refers to the replenishment amount of the items determined in the replenishment order.
After the inventory checking strategy of the target item is known, the replenishment point obtained in step S102 may be used to compare with the current inventory of the target item, so as to determine the specific replenishment quantity of the target item.
According to the replenishment method provided by the embodiment of the invention, for different arrival modes, the replenishment lead time calculation rule corresponding to the arrival mode is adopted to determine the replenishment lead time data, then the replenishment lead time data is utilized to determine the replenishment point, and finally the replenishment quantity can be obtained, so that the business requirement of multiple arrival of replenishment in a supply chain is met. In addition, in the process of obtaining the replenishment points, historical demand data is taken into account, so that the accuracy of the replenishment points can be improved, and the effects of reducing the storage cost and the order cost are achieved. In addition, in the process of determining the replenishment quantity, different inventory checking strategies are considered, different business requirements can be met, and the practicability of the embodiment of the invention is further improved.
Aiming at different arrival modes, determining the replenishment lead time data by adopting different replenishment lead time calculation rules is an important part of the embodiment of the invention. As already explained above, the arrival mode may include: the article arrival mode with fixed time and quantity, and the article arrival mode with fixed time and quantity will be described in detail with respect to the three arrival modes.
The arrival mode is a mode of timely and quantitatively arriving articles
If the arrival mode corresponding to the target object is the object timing and quantitative arrival mode, the time for the supplier to send the target object to the replenishment party is determined, and the quantity of the target object sent each time is fixed and the same. In the embodiment of the present invention, determining the replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode may include: acquiring at least one first arrival time corresponding to a target article; calculating a replenishment lead time average value corresponding to the target object according to at least one first arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero. The first arrival time in the first arrival time is to distinguish the arrival time in the arrival mode from the arrival time in other arrival modes, and has no practical significance.
FIG. 2 is a schematic diagram of a timed and quantitative arrival pattern of an item according to an embodiment of the present invention. In fig. 2, the replenishment supplier submits the replenishment order at time 0, and the supplier equally divides the target item in the replenishment order into N parts, each at time t1To tNThe time to send the target item to the supplier. This pattern corresponds to a deterministic lead time for replenishment, i.e. t1To tNSends the target to the supplier. Or, in this mode, the replenishment lead period is determined, but there are a plurality of sub replenishment lead periods, and the weight of each sub replenishment lead period is the same, and the replenishment lead period can be calculated directly by using an average method. For example, a replenishment order may require 1000 items A, and a supplier may commit to 500 items A after 1 week, and the remaining 500 items A after 2 weeks may correspond to the supplier committing to 1000 items A after 1.5 weeks. Therefore, the temperature of the molten metal is controlled,
Figure BDA0002454309380000091
σVLT＝0
wherein, muVLTIs the average value of the advance period of replenishment; sigmaVLTThe standard deviation of the replenishment lead is determined, and the first arrival time is not a random variable and is determined, so that the standard deviation of the replenishment lead in the mode is 0; t is tiRefers to the first arrival time; n refers to the fraction of the target item that the supplier divides, and also refers to the number of first arrival times.
(II) arrival mode is a mode for arriving articles at fixed time and variable quantity
If the arrival mode corresponding to the target item is an item timing non-quantitative arrival mode, the time for the supplier to send the target item to the replenishment party is determined, and the quantity of the target item sent each time is fixed but is different. In the embodiment of the present invention, determining the replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode may include: acquiring at least one second arrival time corresponding to the target object and the arrival quantity corresponding to the at least one second arrival time; calculating the weight corresponding to the at least one second arrival time according to the arrival quantity corresponding to the at least one second arrival time; calculating a replenishment lead period average value corresponding to the target object according to the at least one second arrival time and the weight corresponding to the at least one second arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero. The second arrival time is the same as the first arrival time, so that the arrival time in the arrival mode is distinguished from the arrival times in other arrival modes, and the second arrival time and the first arrival time are not of practical significance.
In this mode, the number of the target items arriving at each time is different, that is, the weight of the arrival time is different, and if the number of the target items arriving at a certain time is large, the weight of the time is high, so that the weight of the arrival time can be directly calculated by using the arrival number corresponding to the arrival time, and then the average value of the replenishment lead time can be calculated by using a weighting method. For example, a replenishment order may require 1000 items a, the supplier may commit to 250 items a after 1 week, 250 items a after 2 weeks, and 500 items a left after 3 weeks, so that the supplier generally selects the majority of items to be delivered in 2 to 3 weeks, which corresponds to an average of 15.75(7 x 25% +14 x 25% +21 x 50%) days.
Obviously, the arrival mode (one) can be regarded as a special case of the arrival mode (two), in the arrival mode (one), the quantity of the target items arriving at each time is the same, so that the weight of each arrival time is opposite, and the average value of the replenishment lead time can be directly calculated by using the arrival time. In the arrival mode (ii), the number of the target items arriving at each time is different, so that the weight of each arrival time is not correct, and the average value of the replenishment lead time can be calculated by combining the weights corresponding to the arrival time and the arrival time.
FIG. 3 is a schematic illustration of an item timed indeterminate arrival pattern according to an embodiment of the invention. In FIG. 3, the replenishment party submits a replenishment order at time 0, and the supplier submits at time t1To tNSending the target object to a goods supplementing party by time and using the weight omega1To omegaNRespectively represent t1To tNThe weight corresponding to time. This mode is also equivalent to a deterministic replenishment lead time, using tiAnd ωiAnd (5) calculating the average time. Therefore, the temperature of the molten metal is controlled,
Figure BDA0002454309380000111
σVLT＝0
wherein, muVLTIs the average value of the advance period of replenishment; sigmaVLTThe second arrival time is determined instead of a random variable, so that the standard deviation of the replenishment lead in the mode is 0; note that t in this formulaiMeans a second arrival time; omegaiMeans the second arrival time tiA corresponding weight; n refers to the score that the supplier divides the target item and also refers to the number of second arrival times.
(III) the arrival mode is an article arrival mode with irregular time and quantity
If the arrival mode corresponding to the target article is the article irregular time and quantity arrival mode, the fact that the time for the supplier to send the target article to the replenishment party is unknown and the quantity of the target article sent each time is unknown is explained. In the embodiment of the present invention, determining the replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode may include: acquiring historical order arrival data corresponding to the target object; calculating the average arrival time of the order corresponding to the target object according to the historical order arrival data corresponding to the target object; and calculating the average value of the replenishment lead period and the standard deviation of the replenishment lead period corresponding to the target object according to the average arrival time of the order.
In the untimely and non-quantitative arrival mode of the articles, the supplier does not refer to fixed time or batch logic, or the supplier agrees with the goods receiving rule but does not obey the agreed rule, so that the articles are sent to the replenishment party untimely or non-quantitatively. Therefore, historical order arrival data corresponding to the target item needs to be processedAnalyzing and obtaining replenishment lead period data in the mode, wherein it is noted that the historical order arrival data refers to historical order arrival data corresponding to the target item in the item arrival mode at irregular time and in irregular quantity, that is, historical order arrival data in other arrival modes cannot be counted. Typically, the arrival mode selected by a supplier is constant for the same target item. In a specific calculation method, the arrival data corresponding to each historical replenishment order is analyzed, for example, after the replenishment order j is submitted, the supplier delivers the goods NjThe second and the third replenishment parties are respectively at tjiThe received number of times qjiThen the average arrival time VLT of order jjCan be expressed by the following formula:
Figure BDA0002454309380000121
wherein, VLTjExpressed as the average arrival time of order j. After the average arrival time of each historical order is obtained, the average value and the standard deviation of the replenishment lead period in the mode can be obtained through statistics, and the specific calculation formula can be as follows:
Figure BDA0002454309380000122
Figure BDA0002454309380000123
wherein, muVLTIs the average value of the advance period of replenishment; sigmaVLTThe standard deviation of the advance period of replenishment is defined, and the standard deviation of the advance period of replenishment needs to be calculated because the arrival time in the mode is a random variable; k is the number of the referenced historical replenishment orders, and it should be noted that K may not be equal to 1. Table 1 is an average arrival time table of historical replenishment orders in the item sporadic non-time and non-quantity arrival mode. In Table 1, 6 historical replenishment orders are listed and the 6 historical replenishment order correspondences are providedAnd the number of each arrival, and the VLT using the abovejAnd calculating the average arrival time corresponding to the 6 historical replenishment orders obtained by the formula. Then, according to the above μVLTAnd σVLTTo obtain the mu obtained from the 6 historical replenishment orders in Table 1VLT＝11.44，σVLT＝1.25。
TABLE 1 is a table of average arrival times for historical replenishment orders in an item untimely and quantifiable arrival mode
Order j tj1,qj1 tj2,qj2 tj3,qj3 tj4,qj4 VLTj
1 2,4 8,6 15,7 20,5 11.86
2 3,6 9,6 14,9 22,5 11.84
3 3,14 15,23 10.45
4 5,8 10,6 18,18 13.25
5 4,14 7,10 14,20 21,8 11.03
6 4,3 16,12 10.20
In summary, in the embodiments of the present invention, the arrival mode may be determined first, and then the replenishment lead calculation rule corresponding to the arrival mode is used to determine the replenishment lead data corresponding to the target object, so as to make a cushion for determining the replenishment point, and in combination with the actual scene, various situations may be taken into consideration, thereby improving the practicability of the embodiments of the present invention.
In addition, in the embodiment of the present invention, in the process of determining the replenishment point, taking into account the historical demand data corresponding to the target item, specifically, obtaining the replenishment point corresponding to the target item according to the historical demand data corresponding to the target item and the replenishment lead time data corresponding to the target item, may include:
step S1021, acquiring a demand satisfaction rate corresponding to the target article, and determining a distribution parameter value corresponding to the target article according to the demand satisfaction rate;
step S1022, acquiring a demand average value corresponding to the target object and a demand standard deviation corresponding to the target object according to historical demand data corresponding to the target object;
and S1023, calculating a replenishment point corresponding to the target object according to the replenishment lead time data, the demand average value, the demand standard deviation and the distribution parameter value.
The demand satisfaction rate in step S1021 is equal to the service level, or the probability that the user can successfully purchase the target item, for example, 10 items a and 20 users purchase, each user has a probability of purchasing 50%, and 50% of the probability is equal to the demand satisfaction rate. Considering that the demand data of the target item satisfies a random variable distribution, such as a normal distribution, the distribution parameter value is a standard positive distribution value corresponding to the required satisfaction rate. Then, according to the historical demand data corresponding to the target article, the average value of the demand corresponding to the target article and the standard deviation of the demand corresponding to the target article can be obtained. Considering that the target item sent by the supplier can be received after a period of time after the replenishment order is submitted by the replenishment party, but in the period of time, the stock quantity of the target item needs to be ensured to be larger than the demand amount, which is equivalent to that the target item can be normally purchased by the user, so the average value of the demand amount and the standard deviation of the demand amount of the target item are obtained by using the historical demand data. And finally, calculating a replenishment point corresponding to the target object according to the replenishment lead time data, the demand average value, the demand standard deviation and the distribution parameter value. In the embodiment of the present invention, the calculation formula of the replenishment point may be:
Figure BDA0002454309380000131
wherein s represents a replenishment point; mu.sDRepresents a mean value of the demand; sigmaDRepresenting the standard deviation of the demand; mu.sVLTRepresenting the average value of the advance period of replenishment; sigmaVLTRepresenting the standard deviation of the advance period of replenishment; α represents a demand satisfaction rate; zαAnd the distribution parameter value corresponding to the demand satisfaction rate alpha is shown. According to the replenishment method provided by the embodiment of the invention, the replenishment point is determined by utilizing the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object, and the future sales of the target object and the replenishment lead time of the target object can be taken into account, so that the replenishment point can better meet the effect of an actual scene, and the storage cost and the order cost can be reduced.
The determination of the replenishment quantity is a component of the replenishment method in the embodiment of the present invention, and after the specific replenishment quantity is determined, the replenishment party may submit a replenishment order to the supplier, and then the supplier sends the target item to the replenishment party according to the replenishment quantity on the replenishment order. As a reference embodiment of the present invention, determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking policy corresponding to the target item may include: and under the condition that the inventory point strategy is continuous inventory, judging whether the current inventory is less than a replenishment point, and if so, directly determining that the preset fixed quantity is the replenishment quantity of the target object.
As mentioned above in step S103, the inventory taking policy refers to a method for taking inventory, and may include: continuous inventory and periodic inventory. Therefore, the embodiments of the present invention provide different methods for determining the replenishment quantity for different inventory checking strategies. If the inventory checking strategy corresponding to the target object is continuous checking, whether the current inventory is less than the replenishment point is judged, if the current inventory is less than the replenishment point, the replenishment Quantity can be directly a fixed Quantity, and the fixed Quantity is usually Economic Order batch Quantity, namely Economic Order Quantity, which is one of fixed Order batch models and can be used for determining the Quantity of one-time Order (outsourcing or self-making) of an enterprise. When a business orders in an economic order batch, a minimum sum of order cost and storage cost may be achieved. Since the economic order lot is a relatively mature technology, it is not explained in detail in the embodiment of the present invention.
In another embodiment of the present invention, determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking policy corresponding to the target item may include: under the condition that the inventory point strategy is periodic inventory, judging whether the current inventory is less than a replenishment point or judging whether the current inventory is less than a target inventory; if yes, determining the difference value between the target inventory and the current inventory as the replenishment quantity of the target object.
If the inventory checking strategy corresponding to the target article is periodic inventory checking, judging whether the current inventory is smaller than the replenishment point or judging whether the current inventory is smaller than the target inventory, and if the current inventory is smaller than the replenishment point or the current inventory is smaller than the target inventory, taking the replenishment quantity of the target article as the difference value between the target inventory and the current inventory.
It can be seen that, if the inventory strategy corresponding to the target item is a periodic inventory strategy, the concept of target inventory needs to be introduced, where the target inventory can be regarded as the inventory quantity of the target item expected by the replenishment party, and the replenishment point can be regarded as the minimum inventory quantity of the item. Specifically, the target inventory may be calculated as follows: acquiring a preset inventory counting period under the condition that the inventory counting strategy is periodic inventory counting before determining the replenishment quantity of the target object based on the inventory counting strategy corresponding to the target object and according to the replenishment point corresponding to the target object and the current inventory of the target object; and calculating the target inventory corresponding to the target object according to the preset inventory period, the replenishment lead period data, the average value of the demand, the standard deviation of the demand and the distribution parameter value. Therefore, in the embodiment of the present invention, the calculation formula of the target inventory may be:
Figure BDA0002454309380000151
wherein T represents the target inventory, μDRepresents a mean value of the demand; sigmaDRepresenting the standard deviation of the demand; mu.sVLTRepresenting the average value of the advance period of replenishment; sigmaVLTRepresenting the standard deviation of the advance period of replenishment; α represents a demand satisfaction rate; zαRepresenting a distribution parameter value corresponding to the demand satisfaction rate alpha; r represents a preset inventory period.
Fig. 4 is a schematic diagram of a main flow of a replenishment method according to an embodiment of the present invention. As shown in fig. 4, the main flow of the replenishment method may include:
step S401, acquiring a corresponding arrival mode of a target article;
step S402, if the arrival mode is an article timing and quantitative arrival mode, at least one first arrival time corresponding to the target article is obtained;
step S403, calculating a replenishment lead time average value corresponding to the target object according to at least one first arrival time, and determining that the replenishment lead time standard deviation corresponding to the target object is zero;
step S404, if the arrival mode is the timed and non-quantitative arrival mode of the articles, at least one second arrival time corresponding to the target articles and the arrival quantity corresponding to the at least one second arrival time are obtained;
step S405, calculating the weight corresponding to at least one second arrival time according to the arrival quantity corresponding to at least one second arrival time;
step S406, calculating a replenishment lead time average value corresponding to the target object according to the at least one second arrival time and the weight corresponding to the at least one second arrival time, and determining that the replenishment lead time standard deviation corresponding to the target object is zero;
step S407, if the arrival mode is an article irregular-time irregular-quantity arrival mode, acquiring historical order arrival data corresponding to the target article;
step S408, calculating the average arrival time of the order corresponding to the target object according to the historical order arrival data corresponding to the target object;
step S409, calculating a replenishment lead time average value and a replenishment lead time standard difference corresponding to the target object according to the order average arrival time;
step S410, acquiring a demand satisfaction rate corresponding to a target article, and determining a distribution parameter value corresponding to the target article according to the demand satisfaction rate;
step S411, acquiring a demand average value corresponding to the target article and a demand standard deviation corresponding to the target article according to historical demand data corresponding to the target article;
step S412, calculating a replenishment point corresponding to the target object according to the replenishment lead time data, the demand average value, the demand standard deviation and the distribution parameter value;
step S413, in a case that the inventory point policy is a continuous inventory point, determining whether the current inventory amount is less than a replenishment point, if so, executing step S414;
step S414, directly determining the replenishment quantity of the target object with the preset fixed quantity;
step S415, under the condition that the inventory counting strategy is periodic inventory counting, acquiring a preset inventory counting period, and then calculating a target inventory corresponding to a target article according to the preset inventory counting period, the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value;
step S416, judging whether the current stock is less than the replenishment point or judging whether the current stock is less than the target stock, if so, executing step S417;
step S417, determining the difference between the target inventory and the current inventory amount as the replenishment quantity of the target item.
In steps S401 to S417, methods for calculating the average value of the replenishment lead period and the standard deviation of the replenishment lead period in the three arrival modes are provided; methods of determining inventory in the case of continuous inventory and periodic inventory are also provided. In an actual scene, a calculation method of the average value of the replenishment lead period and the standard deviation of the replenishment lead period and a method for determining the inventory can be selected according to specific business requirements. Further, if it is judged in step S413 that the current stock quantity is not less than the replenishment point, which indicates that the replenishment operation is not required at this time, the replenishment party does not need to send the replenishment order to the supplier. Similarly, if the step S416 determines that the current stock amount is not less than the replenishment point or determines that the current stock amount is not less than the target stock amount, it indicates that the replenishment operation is not required at this time, and the replenishment party does not need to send the replenishment order to the supplier.
According to the technical scheme of replenishment, aiming at different arrival modes, the replenishment lead time calculation rule corresponding to the arrival mode is adopted to determine the replenishment lead time data, then the replenishment lead time data is utilized to determine the replenishment point, the replenishment quantity can be finally obtained, and the business requirement that multiple arrival times are carried out by one replenishment in a supply chain is met. In addition, in the process of obtaining the replenishment points, historical demand data is taken into account, so that the accuracy of the replenishment points can be improved, and the effects of reducing the storage cost and the order cost are achieved. In addition, in the process of determining the replenishment quantity, different inventory checking strategies are considered, different business requirements can be met, and the practicability of the embodiment of the invention is further improved.
Fig. 5 is a schematic diagram of main modules of a replenishment device according to an embodiment of the present invention. As shown in fig. 5, the main modules of the replenishment device 500 may include: a determination module 501, an acquisition module 502, and a restocking module 503.
The determining module 501 may be configured to obtain an arrival mode corresponding to a target article, and determine replenishment lead time data corresponding to the target article based on a replenishment lead time calculation rule in the arrival mode; the obtaining module 502 may be configured to obtain a replenishment point corresponding to the target item according to the historical demand data corresponding to the target item and the replenishment lead time data corresponding to the target item; the replenishment module 503 may be configured to determine a replenishment amount of the target item according to a replenishment point corresponding to the target item and a current inventory amount of the target item based on the inventory checking policy corresponding to the target item.
In the embodiment of the present invention, the arrival mode may include any one of the following options: an article arrival pattern with fixed timing and quantity, and an article arrival pattern with fixed timing and quantity.
In this embodiment of the present invention, the determining module 501 may further be configured to: if the arrival mode is an article timing and quantitative arrival mode, acquiring at least one first arrival time corresponding to the target article; calculating a replenishment lead time average value corresponding to the target object according to at least one first arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
In this embodiment of the present invention, the determining module 501 may further be configured to: if the arrival mode is the timed and non-quantitative arrival mode of the articles, acquiring at least one second arrival time corresponding to the target articles and the arrival quantity corresponding to the at least one second arrival time; calculating the weight corresponding to the at least one second arrival time according to the arrival quantity corresponding to the at least one second arrival time; calculating a replenishment lead period average value corresponding to the target object according to the at least one second arrival time and the weight corresponding to the at least one second arrival time; and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
In this embodiment of the present invention, the determining module 501 may further be configured to: if the arrival mode is an article irregular-time irregular-quantity arrival mode, acquiring historical order arrival data corresponding to the target article; calculating the average arrival time of the order corresponding to the target object according to the historical order arrival data corresponding to the target object; and calculating the average value of the replenishment lead period and the standard deviation of the replenishment lead period corresponding to the target object according to the average arrival time of the order.
In this embodiment of the present invention, the obtaining module 502 may further be configured to: acquiring a demand satisfaction rate corresponding to a target article, and determining a distribution parameter value corresponding to the target article according to the demand satisfaction rate; acquiring a demand average value corresponding to a target article and a demand standard deviation corresponding to the target article according to historical demand data corresponding to the target article; and calculating a replenishment point corresponding to the target object according to the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
In the embodiment of the present invention, the replenishment module 503 may be further configured to: and under the condition that the inventory point strategy is continuous inventory, judging whether the current inventory is less than a replenishment point, and if so, directly determining that the preset fixed quantity is the replenishment quantity of the target object.
In the embodiment of the present invention, the replenishment module 503 may be further configured to: acquiring a preset inventory cycle under the condition that the inventory strategy is periodic inventory; and calculating the target inventory corresponding to the target object according to the preset inventory period, the replenishment lead period data, the average value of the demand, the standard deviation of the demand and the distribution parameter value.
In the embodiment of the present invention, the replenishment module 503 may be further configured to: under the condition that the inventory point strategy is periodic inventory, judging whether the current inventory is less than a replenishment point or judging whether the current inventory is less than a target inventory; if yes, determining the difference value between the target inventory and the current inventory as the replenishment quantity of the target object.
In the embodiment of the invention, the current inventory amount of the target object is the sum of the current warehouse inventory amount of the target object and the in-transit inventory amount of the target object.
As can be seen from the above description, the replenishment device according to the embodiment of the present invention can determine the replenishment lead time data by using the replenishment lead time calculation rule corresponding to the arrival mode for different arrival modes, and then determine the replenishment point by using the replenishment lead time data, so as to obtain the replenishment quantity, thereby solving the business requirement of multiple arrival of replenishment in the supply chain. In addition, the replenishment device provided by the embodiment of the invention takes historical demand data into account in the process of acquiring the replenishment point, so that the accuracy of the replenishment point can be improved, and the effects of reducing the storage cost and the order cost are achieved. In addition, in the process of determining the replenishment quantity, the replenishment device provided by the embodiment of the invention considers different inventory checking strategies, can meet different business requirements, and further improves the practicability of the embodiment of the invention.
Fig. 6 illustrates an exemplary system architecture 600 of a replenishment method or replenishment device to which embodiments of the present invention may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 serves to provide a medium for communication links between the terminal devices 601, 602, 603 and the server 605. Network 604 may include various types of connections, such as wire, wireless communication links, or fiber optic cables, to name a few.
A user may use the terminal devices 601, 602, 603 to interact with the server 605 via the network 604 to receive or send messages or the like. The terminal devices 601, 602, 603 may have installed thereon various communication client applications, such as shopping applications, web browser applications, search applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only).
The terminal devices 601, 602, 603 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 605 may be a server providing various services, such as a background management server (for example only) providing support for shopping websites browsed by users using the terminal devices 601, 602, 603. The backend management server may analyze and perform other processing on the received data such as the product information query request, and feed back a processing result (for example, target push information, product information — just an example) to the terminal device.
It should be noted that the replenishment method provided by the embodiment of the present invention is generally executed by the server 605, and accordingly, the replenishment device is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks, and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to FIG. 7, shown is a block diagram of a computer system 700 suitable for use with a terminal device implementing an embodiment of the present invention. The terminal device shown in fig. 7 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. 7, the computer system 700 includes a Central Processing Unit (CPU)701, which can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data necessary for the operation of the system 700 are also stored. The CPU 701, the ROM 702, and the RAM 703 are connected to each other via a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input portion 706 including a keyboard, a mouse, and the like; an output section 707 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 708 including a hard disk and the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. A drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read out therefrom is mounted into the storage section 708 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 can be downloaded and installed from a network through the communication section 709, and/or installed from the removable medium 711. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 701.
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 includes a determination module, an acquisition module, and a replenishment module. For example, the determining module may also be described as a module that acquires an arrival mode corresponding to the target item and determines replenishment lead period data corresponding to the target item based on a replenishment lead period calculation rule in the arrival mode.
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 an arrival mode corresponding to a target article, and determining replenishment lead time data corresponding to the target article based on a replenishment lead time calculation rule in the arrival mode; acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object; and determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory of the target item based on the inventory checking strategy corresponding to the target item.
According to the technical scheme of the embodiment of the invention, aiming at different arrival modes, the replenishment lead time calculation rule corresponding to the arrival mode is adopted to determine the replenishment lead time data, then the replenishment lead time data is utilized to determine the replenishment point, and finally the replenishment quantity can be obtained, so that the business requirement of multiple arrival of replenishment in a supply chain is met. In addition, in the process of obtaining the replenishment points, historical demand data is taken into account, so that the accuracy of the replenishment points can be improved, and the effects of reducing the storage cost and the order cost are achieved. In addition, in the process of determining the replenishment quantity, different inventory checking strategies are considered, different business requirements can be met, and the practicability of the embodiment of the invention is further improved.
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 (13)

1. A method of restocking, comprising:
acquiring a goods arrival mode corresponding to a target article, and determining goods replenishment lead period data corresponding to the target article based on a goods replenishment lead period calculation rule in the goods arrival mode;
acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object;
and determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking strategy corresponding to the target item.
2. The method of claim 1, wherein the arrival mode comprises any one of the following options: an article arrival pattern with fixed timing and quantity, and an article arrival pattern with fixed timing and quantity.
3. The method according to claim 2, wherein the determining replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode comprises:
if the arrival mode is an article timing and quantitative arrival mode, acquiring at least one first arrival time corresponding to the target article;
calculating a replenishment lead period average value corresponding to the target object according to the at least one first arrival time;
and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
4. The method according to claim 2, wherein the determining replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode comprises:
if the arrival mode is an article timing non-quantitative arrival mode, acquiring at least one second arrival time corresponding to the target article and the arrival quantity corresponding to the at least one second arrival time;
calculating the weight corresponding to the at least one second arrival time according to the arrival quantity corresponding to the at least one second arrival time;
calculating a replenishment lead period average value corresponding to the target object according to the at least one second arrival time and the weight corresponding to the at least one second arrival time;
and determining that the standard deviation of the replenishment lead period corresponding to the target object is zero.
5. The method according to claim 2, wherein the determining replenishment lead period data corresponding to the target item based on the replenishment lead period calculation rule in the arrival mode comprises:
if the arrival mode is an article irregular-time irregular-quantity arrival mode, acquiring historical order arrival data corresponding to the target article;
calculating the average arrival time of the order corresponding to the target object according to the historical order arrival data corresponding to the target object;
and calculating the average value of the replenishment lead period and the standard deviation of the replenishment lead period corresponding to the target object according to the average arrival time of the order.
6. The method according to claim 1, wherein the obtaining of the replenishment point corresponding to the target item according to the historical demand data corresponding to the target item and the replenishment lead period data corresponding to the target item comprises:
acquiring a demand satisfaction rate corresponding to the target article, and determining a distribution parameter value corresponding to the target article according to the demand satisfaction rate;
acquiring a demand average value corresponding to the target article and a demand standard deviation corresponding to the target article according to historical demand data corresponding to the target article;
and calculating a replenishment point corresponding to the target object according to the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
7. The method according to claim 1, wherein the determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking policy corresponding to the target item comprises:
and under the condition that the inventory checking strategy is continuous checking, judging whether the current inventory is less than the replenishment point, if so, directly determining that the preset fixed quantity is the replenishment quantity of the target object.
8. The method of claim 6, wherein prior to determining the replenishment quantity of the target item based on the inventory count policy corresponding to the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item, the method further comprises:
acquiring a preset inventory checking period under the condition that the inventory checking strategy is periodic inventory checking;
and calculating the target inventory corresponding to the target object according to the preset inventory cycle, the replenishment lead period data, the demand average value, the demand standard deviation and the distribution parameter value.
9. The method according to claim 8, wherein the determining the replenishment quantity of the target item according to the replenishment point corresponding to the target item and the current inventory quantity of the target item based on the inventory checking policy corresponding to the target item comprises:
under the condition that the inventory checking strategy is periodic inventory checking, judging whether the current inventory is less than the replenishment point or judging whether the current inventory is less than the target inventory;
and if so, determining that the difference value between the target inventory and the current inventory is the replenishment quantity of the target object.
10. The method of claim 1, wherein the current inventory level of the target item is a sum of the current warehouse inventory level of the target item and an in-transit inventory level of the target item.
11. A replenishment device, comprising:
the determining module is used for acquiring a goods arrival mode corresponding to a target article and determining replenishment lead period data corresponding to the target article based on a replenishment lead period calculation rule in the goods arrival mode;
the acquisition module is used for acquiring a replenishment point corresponding to the target object according to the historical demand data corresponding to the target object and the replenishment lead time data corresponding to the target object;
and the replenishment module is used for determining the replenishment quantity of the target object according to the replenishment point corresponding to the target object and the current inventory of the target object based on the inventory checking strategy corresponding to the target object.
12. An electronic device, 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 1-10.
13. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-10.
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