CN110033222A - A kind of replenishing method - Google Patents
A kind of replenishing method Download PDFInfo
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- CN110033222A CN110033222A CN201910307392.9A CN201910307392A CN110033222A CN 110033222 A CN110033222 A CN 110033222A CN 201910307392 A CN201910307392 A CN 201910307392A CN 110033222 A CN110033222 A CN 110033222A
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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
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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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
- Y02P90/30—Computing systems specially adapted for manufacturing
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Abstract
The present invention provides a kind of replenishing methods, comprising: the statistics number of days of end article is determined according to replenishment cycle；The accumulated probability distribution in the different sales volume sections of the end article in the consecutive days is determined according to the frequency distribution of sales volume different in the statistics number of days；The safety stock of the end article is determined according to accumulated probability distribution；If the inventory of the end article is lower than the safety stock, triggering replenishes.Replenishing method of the invention being capable of accurate and Reasonable calculating safety stock, reduction maintenance cost and offer versatility.
Description
Technical field
The present embodiments relate to network technique field more particularly to a kind of replenishing methods.
Background technique
In process of exchange, safety inventory is to prevent the uncertain factor of the following material supply or demand (as largely
Sudden order, delivery accidental interruption or sudden postponement etc.) and the buffer stock of preparation.Safety inventory is for meeting time in advance
Demand because every daily demand amout, the time of delivery, supplier degree of cooperation, there are more uncertain factor, these factor controls
Make it is bad if, enterprise is easy to therefore run out of goods, and influence production, and then influence enterprise delivery, cause damages to enterprise.One
As for, safety inventory is bigger, and it is smaller a possibility that out of stock occur；But inventory is bigger, will lead to appearance and the library of remaining inventory
Deposit the occupancy of fund.
The prior art is only to predict safety inventory by sales volume to solve the above problems, it is often necessary to according to sales volume
Variation is to correct safety inventory, it may appear that the unreasonable phenomenon of the result of prediction.Meanwhile maintenance cost is high.
Summary of the invention
The purpose of the embodiment of the present invention is to propose a kind of replenishing method, can accurate and Reasonable calculate safety inventory
Amount reduces maintenance cost and provides versatility.
For this purpose, the embodiment of the present invention uses following technical scheme:
The embodiment of the invention provides a kind of replenishing methods, comprising:
The statistics number of days of end article is determined according to replenishment cycle；
The end article in the consecutive days is determined according to the frequency distribution of sales volume different in the statistics number of days
The accumulated probability in different sales volume sections is distributed；
The safety stock of the end article is determined according to accumulated probability distribution；
If the inventory of the end article is lower than the safety stock, triggering replenishes.
Further, the frequency distribution according to sales volume different in the statistics number of days determines institute in the consecutive days
The accumulated probability for stating the different sales volume sections of end article, which is distributed, includes:
Calculate the odd-numbered day probability distribution of sales volume different in the statistics number of days；
The different sales volume sections of the end article in the consecutive days are determined according to the odd-numbered day probability distribution
Accumulated probability distribution.
Further, the safety stock that the end article is determined according to accumulated probability distribution includes:
The probability out of stock of the end article is determined according to accumulated probability distribution；
According to the number of days coefficient of end article described in the determine the probability out of stock of the end article；
The safety stock is determined according to the number of days coefficient and average daily sales volume；
Wherein, the average daily sales volume is average daily sales volume in the statistics number of days.
Further, described to determine that the safety stock includes: according to the number of days coefficient and average daily sales volume
Safety stock calculating is carried out according to following formula:
Safety stock=average daily sales volume * number of days coefficient.
Further, the safety stock includes safety stock lower limit and the safety stock upper limit；
Correspondingly, the safety stock for determining the end article according to accumulated probability distribution, specifically includes:
The safety stock lower limit of the end article is determined according to accumulated probability distribution；
The safety stock upper limit is greater than or equal to the safety stock lower limit.
Further, the replenishment cycle is comprising replenishment interval number of days and in way number of days.
Further, if the inventory of the end article is lower than the safety stock, triggering replenishes, comprising:
If the inventory of the end article is lower than safety stock lower limit, triggering replenishes.
Further, after the triggering replenishes further include:
The quantity of the end article is complemented into the safety stock upper limit.
Further, the statistics number of days is greater than or equal to the number of days of the replenishment cycle.
The embodiment of the present invention has the beneficial effect that the embodiment of the present invention by calculating the different sales volume areas in the consecutive days
Between accumulated probability be distributed determine the commodity safety stock, can satisfy the consumption in replenishment cycle, reduce warehouse
Turnover and shortage of goods.Simultaneously based on statistics safety stock is carried out in replenishment cycle, without being modified because of sale variation, dimension is reduced
It protects cost and improves versatility.
Detailed description of the invention
Fig. 1 is the flow diagram for the replenishing method that the embodiment of the present invention one provides.
Fig. 2 is the flow diagram of replenishing method provided by Embodiment 2 of the present invention.
Specific embodiment
To keep the technical problems solved, the adopted technical scheme and the technical effect achieved by the invention clearer, below
It will the technical scheme of the embodiment of the invention will be described in further detail in conjunction with attached drawing, it is clear that described embodiment is only
It is a part of the embodiment of the present invention, instead of all the embodiments.
Embodiment one
A kind of replenishing method is present embodiments provided, safety stock can be accurately calculated, relative to only passing through sale
Amount carries out predicting that safety stock is more reasonable to replenish, and is not easy to change and change with sales volume, to reduce maintenance cost, mention
High universalizable.This method is particularly suitable for automatic vending machine and the product shop that disappears fastly, is held by software and the/system that forms of hardware
Row.
Fig. 1 is the flow diagram for the replenishing method that the embodiment of the present invention one provides.This method enables safety stock
Enough meet the consumption in replenishment cycle, i.e. safety stock is greater than or equal to the consumption in replenishment cycle.As shown in Figure 1,
The replenishing method includes the following steps:
S11 determines the statistics number of days of end article according to replenishment cycle.
The statistics number of days of the calculating probability distribution of end article is determined by the period of replenishment cycle, so that subsequent knot
Fruit fits in actual conditions, can reduce error, so that result is accurate and reasonable.
Replenishment cycle can be selected according to specific sales situation.Optionally, on every Mondays, three, five replenish or monthly No. 1,
No. 10 replenish.
S12 determines the target quotient in the consecutive days according to the frequency distribution of sales volume different in the statistics number of days
The accumulated probability in the different sales volume sections of product is distributed.
Specifically, being recorded in the different sales volumes occurred in statistics number of days, and calculate the frequency that different sales volumes occurs
Rate forms frequency distribution.Using the frequency distribution as the probability distribution of different sales volumes, and determined based on different sales volumes
Then multiple and different sales volume sections determines the accumulated probability distribution in sales volume section multiple and different in the consecutive days, preceding
Multiple sales volume sections are stated all using zero sales volume as initial value, select different sales volumes as the continuum of end point values.
S13 determines the safety stock of the end article according to accumulated probability distribution.
The case where accumulated probability distribution illustrates sales volume sections different in the consecutive days, when safety stock is chosen
For the end point values in different sales volume sections, calculates corresponding probability out of stock and protected by determine the probability safety stock out of stock
Card safety stock meets the consumption in replenishment cycle.
S14, if the inventory of the end article is lower than the safety stock, triggering replenishes.
On the day of replenishing, when the inventory of end article is lower than safety stock, triggering replenishes, and the inventory of end article is mended
Enough to safety stock.
Optionally, the safety stock includes safety stock lower limit and the safety stock upper limit, the safety inventory
It measures the upper limit and is greater than or equal to the safety stock lower limit.
Correspondingly, the safety stock for determining the end article according to accumulated probability distribution, specifically includes:
The safety stock lower limit of the end article is determined according to accumulated probability distribution；
If the inventory of the end article is lower than safety stock lower limit, triggering replenishes.
After the triggering replenishes further include:
The inventory of end article is complemented into the safety stock upper limit.
The present embodiment is distributed the determining commodity by calculating the accumulated probability in the different sales volume sections in the consecutive days
Safety stock can satisfy the consumption in replenishment cycle, reduce the turnover and shortage of goods in warehouse.Simultaneously based in replenishment cycle
Statistics safety stock is carried out, without being modified because of sale variation, maintenance cost is reduced and improves versatility.
Embodiment two
The present embodiment on the basis of the above embodiments, has refined the implementation method of each step.Fig. 2 is the embodiment of the present invention
The flow diagram of two replenishing methods provided.As shown in Fig. 2, the replenishing method specifically comprises the following steps:
S21 determines the statistics number of days of end article according to replenishment cycle.
Specifically, the replenishment cycle is comprising replenishment interval number of days and in way number of days.
Optionally, the statistics number of days is greater than or equal to the number of days of the replenishment cycle.
Statistics number of days is determined by replenishment interval number of days and in way number of days, guarantees that subsequent result more fits in real feelings
Condition, it is more reasonable.For example, the interval number of days to replenish twice is 10 days, commodity distribution is 4 days in way number of days, then counting number of days is
14 days.
S22 calculates the odd-numbered day probability distribution of sales volume different in the statistics number of days.Pin different in number of days will be counted
The probability distribution for the amount of selling is as odd-numbered day probability distribution.
It is further illustrated:
In this example embodiment, sales volume value is respectively 0 sales volume, 1 sales volume, 2 sales volumes, 3 sales volumes and 4
A sales volume.
Table 1 is the probability distribution table for counting sales volume different in number of days, as shown in the table, in 14 days of statistics, sale
Amount has 2 days for 0 number of days, accounting 0.14.
Table 2 is the odd-numbered day probability distribution table using the probability distribution that table 1 obtains as probability distribution on the 1st, as shown in the table:
S23 determines the different sales volume areas of the end article in the consecutive days according to the odd-numbered day probability distribution
Between accumulated probability distribution.
Using different sales volumes as end point values, zero sales volume is that the continuum of initial value forms multiple sales volume sections,
The appearance situation for recording different sales volumes calculates sales volume section different in the consecutive days in conjunction with odd-numbered day probability distribution
Accumulated probability distribution.
It further illustrates:
Table 3 is continuous accumulated probability on the 2nd distribution based on the odd-numbered day probability distribution that table 2 obtains, as shown in the table:
Table 4 is the summary sheet of table 3, as shown in the table:
Further, based on the sales volume occurred in table 4, respectively using 0 sales volume as initial value, 0 sales volume is selected
The first sales volume section is formed for end point values；1 sales volume is selected to form the second sales volume section for end point values；Select 2 pins
The amount of selling is that end point values form third sales volume section；3 sales volumes are selected to form the 4th sales volume section for end point values；Selection 4
A sales volume is that end point values form the 5th sales volume section；5 sales volumes are selected to form the 6th sales volume section for end point values；Choosing
Selecting 6 sales volumes is that end point values form the 7th sales volume section；7 sales volumes are selected to form the 8th sales volume area for end point values
Between；8 sales volumes are selected to form the 9th sales volume section for end point values.
Table 5 is the accumulated probability within the consecutive days point based on continuous two days accumulated probabilities distribution that table 4 obtains
Cloth, as shown in the table:
S24 determines the probability out of stock of the end article according to accumulated probability distribution.
Accumulated probability distribution combines the requirement for meeting replenishment interval number of days and the consumption in way number of days, selects suitable lack
Goods probability.
It further illustrates:
Table 6 is the probability tables out of stock based on the accumulated probability distribution that table 5 obtains, as shown in the table:
| Sales volume section | Accumulated probability | Probability out 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, according to the number of days coefficient of end article described in the determine the probability out of stock of the end article.
The number of days coefficient is associated with the replenishment interval number of days in the replenishment cycle and the consumption in way number of days, not by other
The influence of the sales volume of replenishment cycle constantly corrects this method without the sales volume variation because of different cycles.
It further illustrates:
Based on the probability out of stock that table 6 obtains, replenishment interval number of days and the consumption in way number of days need to be met, and reduce inventory
It occupies, if it is desired to which probability out of stock is not more than 3%, then qualified minimum value is 6, i.e., setting number of days coefficient is 6.
S26 determines the safety stock according to the number of days coefficient and average daily sales volume.
Specifically, carrying out safety stock calculating according to following formula:
Safety stock=average daily sales volume * number of days coefficient.
Wherein, the average daily sales volume is average daily sales volume in the statistics number of days.
Optionally, the safety stock includes safety stock lower limit and the safety stock upper limit.The safety inventory
It measures the upper limit and is greater than or equal to the safety stock lower limit.Safety inventory lower limit is calculated according to above-mentioned steps.
S27, if the inventory of the end article is lower than the safety stock, triggering replenishes.
If the inventory of the end article is lower than safety stock lower limit, triggering replenishes, by the quantity of the end article
Complement to the safety stock upper limit.
The present embodiment out of stock probability determining by the accumulated probability distribution in the different sales volume sections in replenishment cycle
It determines number of days coefficient, then determines safety stock by number of days coefficient and average daily sales volume, i.e., after calculating number of days coefficient, then with
Average daily sales volume acquisition when order is more bonded actual safety stock, so that result is more reasonable, can reduce warehouse
Turnover and shortage of goods.And be not required to be modified because of sale variation, so that maintenance cost is lower, versatility is stronger.
The technical principle of the invention is described above in combination with a specific embodiment.These descriptions are intended merely to explain of the invention
Principle, and shall not be construed in any way as a limitation of the scope of protection of the invention.Based on the explanation herein, the technology of this field
Personnel can associate with other specific embodiments of the invention without creative labor, these modes are fallen within
Within protection scope of the present invention.
Claims (9)
1. a kind of replenishing method characterized by comprising
The statistics number of days of end article is determined according to replenishment cycle；
The difference of the end article in the consecutive days is determined according to the frequency distribution of sales volume different in the statistics number of days
Sales volume section accumulated probability distribution；
The safety stock of the end article is determined according to accumulated probability distribution；
If the inventory of the end article is lower than the safety stock, triggering replenishes.
2. replenishing method according to claim 1, it is characterised in that: described according to sale different in the statistics number of days
The frequency distribution of amount determines that the accumulated probability distribution in the different sales volume sections of the end article in the consecutive days includes:
Calculate the odd-numbered day probability distribution of sales volume different in the statistics number of days；
The accumulative of the different sales volume sections of the end article in the consecutive days is determined according to the odd-numbered day probability distribution
Probability distribution.
3. replenishing method according to claim 1, it is characterised in that: described according to accumulated probability distribution determination
The safety stock of end article includes:
The probability out of stock of the end article is determined according to accumulated probability distribution；
According to the number of days coefficient of end article described in the determine the probability out of stock of the end article；
The safety stock is determined according to the number of days coefficient and average daily sales volume；
Wherein, the average daily sales volume is average daily sales volume in the statistics number of days.
4. replenishing method according to claim 3, which is characterized in that described true according to the number of days coefficient and average daily sales volume
Determining the safety stock includes:
Safety stock calculating is carried out according to following formula:
Safety stock=average daily sales volume * number of days coefficient.
5. replenishing method according to claim 1, it is characterised in that: the safety stock includes safety stock lower limit
And the safety stock upper limit；
Correspondingly, the safety stock for determining the end article according to accumulated probability distribution, specifically includes:
The safety stock lower limit of the end article is determined according to accumulated probability distribution；
The safety stock upper limit is greater than or equal to the safety stock lower limit.
6. replenishing method according to claim 1, it is characterised in that: the replenishment cycle include replenishment interval number of days and
Way number of days.
7. replenishing method according to claim 5, it is characterised in that: if the inventory of the end article is lower than described
Safety stock, triggering replenish, comprising:
If the inventory of the end article is lower than safety stock lower limit, triggering replenishes.
8. the replenishing method according to claim 5 or 7, which is characterized in that after the triggering replenishes further include:
The quantity of the end article is complemented into the safety stock upper limit.
9. replenishing method according to claim 6, it is characterised in that: the statistics number of days is greater than or equal to described replenish week
The number of days of phase.
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| CN201910307392.9A CN110033222B (en) | 2019-04-17 | 2019-04-17 | Goods supplementing method |
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| CN201910307392.9A CN110033222B (en) | 2019-04-17 | 2019-04-17 | Goods supplementing method |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112132343A (en) * | 2020-09-23 | 2020-12-25 | 创优数字科技(广东)有限公司 | Commodity purchasing prediction method and system and readable storage medium |
| CN113034071A (en) * | 2021-03-09 | 2021-06-25 | 广东便捷神科技股份有限公司 | One-key replenishment 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 |
| CN113935672A (en) * | 2020-07-13 | 2022-01-14 | 上海顺如丰来技术有限公司 | Automatic replenishment method and device, computer 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 |
| CN113962416A (en) * | 2020-07-02 | 2022-01-21 | 中科云谷科技有限公司 | Engineering machinery part stock prediction method, management method and system |
| CN114048931A (en) * | 2022-01-13 | 2022-02-15 | 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 |
| CN115630899A (en) * | 2022-11-01 | 2023-01-20 | 中国外运股份有限公司 | Multi-platform inventory optimization method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| 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 |
| CN114048931A (en) * | 2022-01-13 | 2022-02-15 | 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 |
| CN115630899A (en) * | 2022-11-01 | 2023-01-20 | 中国外运股份有限公司 | Multi-platform inventory optimization method and system |
| 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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| CN110033222B (en) | 2023-08-11 |
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