CN110033222B - Goods supplementing method - Google Patents
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- CN110033222B CN110033222B CN201910307392.9A CN201910307392A CN110033222B CN 110033222 B CN110033222 B CN 110033222B CN 201910307392 A CN201910307392 A CN 201910307392A CN 110033222 B CN110033222 B CN 110033222B
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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
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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
- G06Q30/00—Commerce
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention provides a method for supplementing goods, which comprises the following steps: determining the statistical days of the target commodity according to the replenishment period; determining the cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the frequency distribution of different sales in the statistical days; determining a safe stock quantity of the target commodity according to the accumulated probability distribution; and triggering replenishment if the stock of the target commodity is lower than the safe stock quantity. The method for replenishing the goods can accurately and reasonably calculate the safe stock quantity, reduce the maintenance cost and provide universality.
Description
Technical Field
The embodiment of the invention relates to the technical field of networks, in particular to a goods supplementing method.
Background
During a transaction, the safety stock is a buffer stock prepared for preventing uncertainty factors (such as a large number of sudden orders, unexpected breaks or sudden delays in delivery, etc.) of future supply or demand of materials. Safety stock is used for meeting the demand of the early period, because the daily demand, delivery time and matching degree of suppliers have more uncertain factors, and if the factors are not well controlled, enterprises can easily break the goods, the production is influenced, the delivery of the enterprises is influenced, and the enterprises are lost. In general, the larger the safety stock, the less likely that a backout will occur; but the larger the inventory, the larger the inventory will result in the appearance of remaining inventory and the occupation of inventory funds.
In the prior art, the safety stock is only predicted by sales volume to solve the problems, the safety stock is often required to be corrected according to sales volume change, and the phenomenon that the predicted result is unreasonable occurs. Meanwhile, the maintenance cost is high.
Disclosure of Invention
The embodiment of the invention aims to provide a goods supplementing method which can accurately and reasonably calculate the safe stock quantity, reduce the maintenance cost and provide universality.
To achieve the purpose, the embodiment of the invention adopts the following technical scheme:
the embodiment of the invention provides a method for supplementing goods, which comprises the following steps:
determining the statistical days of the target commodity according to the replenishment period;
determining the cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the frequency distribution of different sales in the statistical days;
determining a safe stock quantity of the target commodity according to the accumulated probability distribution;
and triggering replenishment if the stock of the target commodity is lower than the safe stock quantity.
Further, the determining the cumulative probability distribution of the different sales intervals of the target commodity in the continuous days according to the frequency distribution of the different sales in the statistical days includes:
calculating single-day probability distribution of different sales in the statistical days;
and determining the cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the single-day probability distribution.
Further, the determining the secure inventory of the target commodity according to the cumulative probability distribution includes:
determining the backorder probability of the target commodity according to the accumulated probability distribution;
determining a coefficient of days of the target commodity according to the backorder probability of the target commodity;
determining the safe stock quantity according to the day coefficient and the average daily sales quantity;
and the average daily sales quantity is the average daily sales quantity in the statistical days.
Further, the determining the secure inventory according to the coefficient of days and the average daily sales comprises:
the secure inventory calculation is performed according to the following formula:
safety stock = daily sales × coefficient of days.
Further, the safety stock quantity comprises a lower safety stock quantity limit and an upper safety stock quantity limit;
correspondingly, the determining the safe stock quantity of the target commodity according to the accumulated probability distribution specifically comprises the following steps:
determining a lower limit of the safe stock quantity of the target commodity according to the accumulated probability distribution;
the upper limit of the secure inventory is greater than or equal to the lower limit of the secure inventory.
Further, the replenishment cycle comprises replenishment interval days and in-transit days.
Further, if the inventory of the target commodity is lower than the safe inventory, triggering replenishment, including:
and triggering replenishment if the inventory of the target commodity is lower than the lower limit of the safe inventory.
Further, after the replenishment triggering, the method further comprises:
and complementing the number of the target commodities to the upper limit of the safe stock quantity.
Further, the statistical number of days is greater than or equal to the number of days of the restocking cycle.
The embodiment of the invention has the beneficial effects that: the embodiment of the invention determines the safe stock quantity of the commodity by calculating the cumulative probability distribution of different sales intervals in continuous days, can meet the consumption in the replenishment period, and reduces the turnover and the backdrop of the warehouse. Meanwhile, the safety stock quantity is counted based on the replenishment period, correction due to sales change is not needed, maintenance cost is reduced, and universality is improved.
Drawings
Fig. 1 is a flowchart of a replenishment method according to an embodiment of the present invention.
Fig. 2 is a flow chart of a replenishment method according to a second embodiment of the present invention.
Detailed Description
In order to make the technical problems solved by the present invention, the technical solutions adopted and the technical effects achieved more clear, the technical solutions of the embodiments of the present invention will be described in further detail below with reference to the accompanying drawings, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments.
Example 1
The embodiment provides a goods supplementing method, which can accurately calculate the safe stock quantity, is more reasonable than the goods supplementing method which only predicts the safe stock quantity through the sales quantity and is not easy to change along with the sales quantity, thereby reducing the maintenance cost and improving the universality. The method is particularly suitable for vending machines and fast food outlets, and is implemented by a system consisting of software and/or hardware.
Fig. 1 is a flowchart of a replenishment method according to an embodiment of the present invention. The method enables the secure inventory to meet the consumption in the restocking cycle, i.e., the secure inventory is greater than or equal to the consumption in the restocking cycle. As shown in fig. 1, the method for replenishing goods comprises the following steps:
s11, determining the statistical days of the target commodity according to the replenishment period.
The statistical days of the calculated probability distribution of the target commodity are determined through the time period of the replenishment period, so that the follow-up result is attached to the actual situation, errors can be reduced, and the result is accurate and reasonable.
The replenishment cycle may be selected based on the particular sales situation. Optionally, one, three, five restocking or 1, 10 restocking per month.
And S12, determining the cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the frequency distribution of different sales in the statistical days.
Specifically, different sales occurring in the statistical days are recorded, and the frequency of occurrence of the different sales is calculated to form a frequency distribution. The frequency distribution is used as probability distribution of different sales, a plurality of different sales intervals are determined based on the different sales, then cumulative probability distribution of the plurality of different sales intervals in continuous days is determined, the sales intervals take zero sales as initial values, and the sales intervals are selected as continuous intervals with end values.
S13, determining the safe stock quantity of the target commodity according to the accumulated probability distribution.
The accumulated probability distribution represents the conditions of different sales volume intervals in continuous days, when the safety stock volume is selected as the end point value of the different sales volume intervals, the corresponding stock shortage probability is calculated, the safety stock volume is determined according to the stock shortage probability, and the safety stock volume is ensured to meet the consumption volume in the stock replenishment period.
And S14, triggering replenishment if the stock of the target commodity is lower than the safe stock quantity.
And triggering replenishment when the inventory of the target commodity is lower than the safe inventory on the replenishment day, and replenishing the inventory of the target commodity to the safe inventory.
Optionally, the secure inventory amount includes a secure inventory amount lower limit and a secure inventory amount upper limit, and the secure inventory amount upper limit is greater than or equal to the secure inventory amount lower limit.
Correspondingly, the determining the safe stock quantity of the target commodity according to the accumulated probability distribution specifically comprises the following steps:
determining a lower limit of the safe stock quantity of the target commodity according to the accumulated probability distribution;
and triggering replenishment if the inventory of the target commodity is lower than the lower limit of the safe inventory.
The method further comprises the following steps of:
the stock of the target commodity is complemented to the upper limit of the safe stock quantity.
The embodiment determines the safe stock quantity of the commodity by calculating the cumulative probability distribution of different sales intervals in continuous days, and can meet the consumption in the replenishment period and reduce the turnover and the backorder of the warehouse. Meanwhile, the safety stock quantity is counted based on the replenishment period, correction due to sales change is not needed, maintenance cost is reduced, and universality is improved.
Example two
The implementation method of each step is refined on the basis of the embodiment. Fig. 2 is a flow chart of a replenishment method according to a second embodiment of the present invention. As shown in fig. 2, the method for replenishing the goods specifically includes the following steps:
s21, determining the statistical days of the target commodity according to the replenishment period.
Specifically, the replenishment cycle includes replenishment interval days and in-transit days.
Optionally, the statistical number of days is greater than or equal to the number of days of the replenishment cycle.
The statistical days are determined through the number of days of the replenishment interval and the number of days in transit, so that the follow-up result is ensured to be more attached to the actual situation, and the method is more reasonable. For example, the number of days between two replenishment is 10 days, the number of days in transit for commodity delivery is 4 days, and the number of statistical days is 14 days.
S22, calculating single-day probability distribution of different sales in the statistical days. The probability distribution of sales that differ in the number of statistical days is taken as a single day probability distribution.
Further illustrated is:
in this example, the sales amount values are 0 sales amount, 1 sales amount, 2 sales amount, 3 sales amount, and 4 sales amount, respectively.
Table 1 shows probability distribution tables of sales for different days, and the number of days of sales was 0 for 2 days, and the ratio was 0.14, among 14 days counted as shown in the following table.
Table 2 is a single day probability distribution table in which the probability distribution obtained in table 1 is taken as a probability distribution of 1 day, as shown in the following table:
s23, determining the cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the single-day probability distribution.
And forming a plurality of sales intervals by taking different sales as end point values and taking zero sales as start value, recording the occurrence of different sales, and calculating the cumulative probability distribution of different sales intervals in continuous days by combining the single-day probability distribution.
Further description:
table 3 is a continuous 2-day cumulative probability distribution based on the single-day probability distribution from Table 2, as shown in the following table:
table 4 is a summary table of table 3, as shown in the following table:
further, based on sales appearing in table 4, 0 sales are respectively set as start values and 0 sales are selected as end values to form a first sales interval; selecting 1 sales volume as an endpoint value to form a second sales volume interval; selecting 2 sales volumes as end point values to form a third sales volume interval; selecting 3 sales volumes as end point values to form a fourth sales volume interval; selecting 4 sales volumes as end point values to form a fifth sales volume interval; selecting 5 sales volumes as end point values to form a sixth sales volume interval; selecting 6 sales volumes as end point values to form a seventh sales volume interval; selecting 7 sales volumes as end point values to form an eighth sales volume interval; and selecting 8 sales as end point values to form a ninth sales interval.
Table 5 is a cumulative probability distribution over consecutive days based on the two consecutive days cumulative probability distribution obtained in table 4, as shown in the following table:
s24, determining the backorder probability of the target commodity according to the accumulated probability distribution.
The cumulative probability distribution is combined with the requirement of meeting the consumption of the days of the replenishment interval and the days in transit to select proper backorder probability.
Further description:
table 6 is a shortage probability table based on the cumulative probability distribution obtained in table 5, as shown in the following table:
| sales volume interval | Cumulative probability | Probability of absence of stock |
| 0 | 2.04％ | 97.96％ |
| 1 | 12.24％ | 87.76％ |
| 2 | 33.16％ | 66.84％ |
| 3 | 57.65％ | 42.35％ |
| 4 | 78.06％ | 21.94％ |
| 5 | 91.33％ | 8.67％ |
| 6 | 97.45％ | 2.55％ |
| 7 | 99.49％ | 0.51％ |
| 8 | 100％ | 0.00％ |
S25, determining the number of days coefficient of the target commodity according to the backorder probability of the target commodity.
The number of days coefficient is related to the consumption of the number of days of the replenishment interval and the number of days in transit in the replenishment period, is not influenced by sales in other replenishment periods, and does not need to continuously correct the method due to sales changes in different periods.
Further description:
based on the backorder probability obtained in table 6, the consumption of days in the replenishment interval and days in transit is required to be satisfied, the inventory occupation is reduced, and if the backorder probability is required to be not more than 3%, the minimum value meeting the condition is 6, namely, the coefficient of the days is set to be 6.
S26, determining the safety stock quantity according to the day coefficient and the average daily sales quantity.
Specifically, the secure inventory calculation is performed according to the following formula:
safety stock = daily sales × coefficient of days.
And the average daily sales quantity is the average daily sales quantity in the statistical days.
Optionally, the secure inventory level includes a secure inventory level lower limit and a secure inventory level upper limit. The upper limit of the secure inventory is greater than or equal to the lower limit of the secure inventory. And calculating the lower limit of the secure storage according to the steps.
And S27, triggering replenishment if the stock of the target commodity is lower than the safe stock quantity.
And if the stock of the target commodity is lower than the lower limit of the safe stock quantity, triggering replenishment, and replenishing the quantity of the target commodity to the upper limit of the safe stock quantity.
According to the embodiment, the number of days is determined through the stock shortage probability determined by the cumulative probability distribution of different sales intervals in the stock replenishment period, and the safety stock quantity is determined through the number of days and the average daily sales quantity, namely after the number of days is calculated, the actual safety stock quantity is more attached to the average daily sales quantity in order, so that the result is more reasonable, and the turnover and stock shortage of a warehouse can be reduced. And the correction is not required due to sales change, so that the maintenance cost is lower and the universality is stronger.
The technical principle of the present invention is described above in connection with the specific embodiments. The description is made for the purpose of illustrating the general principles of the invention and should not be taken in any way as limiting the scope of the invention. Other embodiments of the invention will be apparent to those skilled in the art from consideration of this specification without undue burden.
Claims (7)
1. A method of restocking, comprising:
determining the statistical days of the target commodity according to the replenishment period;
determining the cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the frequency distribution of different sales in the statistical days, wherein the cumulative probability distribution represents the probability distribution condition of the different sales intervals in the continuous days;
determining a safe stock quantity of the target commodity according to the accumulated probability distribution;
triggering replenishment if the inventory of the target commodity is lower than the safe inventory;
the determining the cumulative probability distribution of the different sales intervals of the target commodity in the continuous days according to the frequency distribution of the different sales in the statistical days comprises the following steps:
calculating single-day probability distribution of different sales in the statistical days;
determining cumulative probability distribution of different sales intervals of the target commodity in continuous days according to the single-day probability distribution;
the determining the secure inventory of the target commodity according to the cumulative probability distribution includes:
determining the backorder probability of the target commodity according to the accumulated probability distribution;
determining a coefficient of days of the target commodity according to the backorder probability of the target commodity;
determining the safe stock quantity according to the day coefficient and the average daily sales quantity;
and the average daily sales quantity is the average daily sales quantity in the statistical days.
2. The restocking method of claim 1, wherein the determining the safe stock quantity according to the coefficient of days and average sales quantity comprises:
the secure inventory calculation is performed according to the following formula:
safety stock = daily sales × coefficient of days.
3. The restocking method as in claim 1, wherein: the safety stock quantity comprises a lower safety stock quantity limit and an upper safety stock quantity limit;
correspondingly, the determining the safe stock quantity of the target commodity according to the accumulated probability distribution specifically comprises the following steps:
determining a lower limit of the safe stock quantity of the target commodity according to the accumulated probability distribution;
the upper limit of the secure inventory is greater than or equal to the lower limit of the secure inventory.
4. The restocking method as in claim 1, wherein: the replenishment cycle comprises replenishment interval days and in-transit days.
5. A restocking method as claimed in claim 3, wherein: and triggering replenishment if the inventory of the target commodity is lower than the safe inventory, wherein the method comprises the following steps:
and triggering replenishment if the inventory of the target commodity is lower than the lower limit of the safe inventory.
6. The restocking method as in claim 3 or 5, wherein after triggering the restocking further comprises:
and complementing the number of the target commodities to the upper limit of the safe stock quantity.
7. The restocking method as in claim 4, wherein: the statistical days are greater than or equal to the days of the replenishment cycle.
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| CN112132343B (en) * | 2020-09-23 | 2023-02-07 | 创优数字科技(广东)有限公司 | Commodity purchasing prediction method and system and readable storage medium |
| CN113034071B (en) * | 2021-03-09 | 2023-11-17 | 广东便捷神科技股份有限公司 | One-key goods supplementing method for retail terminal |
| CN113822543A (en) * | 2021-08-31 | 2021-12-21 | 北京沃东天骏信息技术有限公司 | Resource quantity determination method and device, electronic equipment and storage medium |
| CN113947361A (en) * | 2021-10-26 | 2022-01-18 | 广州壹瑞供应链服务有限公司 | Inventory trend analysis method, equipment and medium |
| CN114048931B (en) * | 2022-01-13 | 2022-06-07 | 北京京东振世信息技术有限公司 | Replenishment information generation method and device, electronic equipment and computer readable medium |
| CN115423369A (en) * | 2022-10-10 | 2022-12-02 | 广东便捷神科技股份有限公司 | Article management system and method based on block chain |
| CN115630899B (en) * | 2022-11-01 | 2023-08-11 | 中国外运股份有限公司 | Multi-platform inventory optimization method and system |
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