CN108985691A - A kind of automatic replenishing method and system based on dynamic stock control - Google Patents
A kind of automatic replenishing method and system based on dynamic stock control Download PDFInfo
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- 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
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- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Abstract
The invention discloses a kind of automatic replenishing method and system based on dynamic stock control, the method specifically includes, classifies to supplies on hand, is divided into A, B and C three classes；Its safety inventory, maximum inventory, minimum inventories and available stock are calculated to each of described every kind classification kind；Calculate each described kind automatic replenishing quantity.Technical solution disclosed by the invention solves the problems, such as cannot be reasonably to warehouse replenishing.
Description
Technical field
The present invention relates to the technical fields that replenishes, and in particular to it is a kind of based on dynamic stock control automatic replenishing method and be
System.
Background technique
In enterprise operation, outbound is received or sold to the material (finished product, semi-finished product or raw material) in warehouse, can be led
It causes inventory to reduce, is needed for the lasting operation of satisfaction it is necessary to be warehouse replenishing.Replenish is a key decision: if it is excessive to replenish,
It just will increase the occupation of capital and the dull risk of inventory；If it is very little to replenish, influence operation out of stock will lead to.
Since the material of enterprise often there are thousands of kinds, largely newly-increased material is had every year, also there is largely superseded material,
Therefore, how reasonably there are apparent fluctuation, the outbound demands of the following material to be difficult precisely to predict for the outbound demand of material,
It is a very big problem to warehouse replenishing.
Currently method is mainly the following to warehouse replenishing:
(1) replenished based on artificial experience: being determined and replenished according to business experience by people, this method limitation it is obvious that with
Material it is wide in variety, material updating decision, man memory just has limitation, so as to cause cannot rationally replenish, causes inventory how out of stock
Greatly.
(2) rolling average quantity replenishes method: use over multiple periods par as tomorrow requirement, mentioned in conjunction with replenishing
The method that interval early period calculates the quantity that replenishes；This is common method in ERP, and this method does not account for the fluctuation of demand
Property, it replenishes ineffective, this Replenishment Policy is known as dynamic security inventory in mainstream ERP product, real such as the ERP product of SAP
Border is seldom using the enterprise of this function.
(3) inventory's water level method in ERP: one maximum inventory and minimum inventories are set for each kind, when actually available
Inventory is lower than minimum inventories, replenishes to maximum inventory.This method is correct, but number based on storage controlling parameter
According to can only manually be arranged, can not dynamically adjust, be not suitable with newest service conditions so as to cause parameter, cause to be difficult practical.
(4) based on the replenishing method of big data: method emerging recently.This method is based on a large amount of historical datas, passes through
Machine learning scheduling algorithm processing forms the suggestion that replenishes.This method is a kind of black-box system, and user does not know the meter for the suggestion that replenishes
Calculate logic, it is desirable to it just has no basis when manually adjusting, and this replenishing method individual plants are likely to occur large error,
So that application effect is bad.
Summary of the invention
The purpose of the present invention is to provide a kind of automatic replenishing method and system based on dynamic stock control, to solve
Existing the problem of can not reasonably giving warehouse replenishing.
To achieve the above object, the technical solution of the present invention is as follows:
The present invention provides a kind of automatic replenishing methods based on dynamic stock control, comprising: divides supplies on hand
Class is divided into A, B and C three classes；Its safety inventory, maximum inventory, minimum library are calculated to each of described every kind classification kind
It deposits and available stock；Calculate each described kind automatic replenishing quantity.
Preferably, classify to supplies on hand, be divided into A, B and C three classes, specifically include: according to coefficient of variation and zero need
It asks all numbers that A class and B class are carried out secondary classification respectively, is divided into A1, A2, B1, B2, C class no longer carries out secondary classification；Wherein, wave
Dynamic coefficient=sales volume standard deviation/average sales volume；The coefficient of variation and zero demand week number calculating cycle are 12 weeks.
Preferably, the safety inventory calculation of the A class material are as follows:
Wherein: SS is safety inventory, and Z is safety coefficient, average demand, the average value of 12 weeks demand history data；It needs
The amount of asking standard deviation, the standard deviation of 12 weeks demand history data；Time in advance average value；Time in advance standard deviation.
Preferably, the safety inventory calculation of the B class material are as follows: mobile time in advance a maximum demand method, wherein institute
Stating time in advance is that party in request releases order to demand and receives the time difference of goods, asks the party in request respectively to multiple predetermined periods
Demand summation takes the maximum demand summation as safety inventory.
Preferably, the safety inventory calculation of the C class material, including following one: most big moon demand method, to pre-
Using maximum moon demand as safety inventory in fixed cycle；
Maximum week demand method, in predetermined period using maximum all demands as safety inventory；
Maximum single order method, in predetermined period using the demand of maximum single order as safety inventory.
Preferably, the maximum inventory of each of described every kind of classification kind and minimum inventories calculation, comprising: right
In A class material, then maximum inventory and minimum inventories value are respectively as follows:
Min=M × Y+SS, Max=(M+N) × Y+SS；
Wherein, M is the time in advance that material replenishes, and N is Replenishment Intervals, and Y is average all demands, and SS is safety inventory
Value；
For B class and C class material, then maximum inventory and minimum inventories value are respectively as follows:
Min=q1× SS, Max=q2×SS
Wherein, q1<q2。
Preferably, the available stock calculation of each of described every kind of classification kind, comprising:
E=L+K-H；
Wherein, L be in real time in hand inventory, K be in product or transportation inventory, it is described product be descended production instruction order but
The logic inventory of storage in progress, the transportation inventory are that material is buying material, and H is generation hair order, and the generation sends out order
For customer order has been received but also not from the order of warehouse picking outbound.
Preferably, automatic replenishing quantity, including following one are calculated: being replenished at random, each of described every kind of classification
Kind needs to replenish if available stock is lower than minimum inventories, the number calculation formula that replenishes are as follows: R=Max-E, wherein
Max is maximum inventory, E available stock, R automatic replenishing quantity；Timing replenishes, and each of described every kind of classification kind is solid
Fixed time domestic demand replenishes simultaneously, when material replenishes the time, regardless of whether available stock is lower than minimum inventories, as long as available
Inventory is lower than maximum inventory, just replenishes to maximum inventory, the number calculation formula that replenishes is R=Max-E, wherein Max is most
Big inventory, E available stock, R automatic replenishing quantity；It quantitatively replenishes, quantitatively replenishes for specific kind, as these kinds inventory
It lower than minimum inventories, then carries out starting and replenishes, the quantity that replenishes is the fixed quantity that replenishes.
Preferably, it after calculating each described kind automatic replenishing quantity, specifically includes: according to described in predetermined period
The variation of material and business, adjustment replenishes the parameter in model and optimization replenishes model.
Another aspect of the embodiment of the present invention, provides a kind of automatic replenishing system based on dynamic stock control
System, comprising: material base data management module, for managing the material base data in each warehouse；Classification of materials module, is based on
The rule of historical data and Classification of materials, for classifying to all materials；Channel and storehouse management module, for defining canal
Road member and warehouse, a channel members can have multiple warehouses；Business data module, for according to materiel warehouse-out historical data
Calculate every inventory parameters；Replenish model management module, and for defining various safety inventory computation models, maximum inventory calculates mould
Type and minimum inventories computation model；Automatic replenishing module, for reasonably replenishing to every class material setting in each warehouse
The parameter confirmation that model and the model that replenishes include, it is automatic to count then according to historical data and in conjunction with the model that replenishes
Calculation replenishes quantity, and the parameter used in the result that replenishes is presented to the user；User and authority management module, it is multiple for managing
Role, and multiple users are set, assign user's permission for executing modules function.
The present invention has the advantage that
(1) it is substantially reduced inventory and reduces shortage of goods: safety inventory, maximum library due to can dynamically calculate each material kind
It deposits and minimum inventories, and calculates the quantity that replenishes on this basis, the logic that replenishes ensure that stockpile number is in inventory and shortage of goods
Between carried out optimal tradeoff, the quantity that replenishes is neither too much nor too little, therefore can reduce inventory, while also reducing out of stock, reduces meaning out of stock
Taste can promote income from sales.
(2) workload that replenishes is substantially reduced, the dependence to key staff's personal experience is reduced, the workload that replenishes can decline
More than 80%, the dependence to key staff's is reduced, the influence that key staff's leaving office is had a holiday to business is reduced, reduces business wind
Danger.
(3) dynamically adapting business changes, and this programme can calculate storage controlling parameter according to newest service conditions dynamic, keeps away
The workload for exempting from personnel's adjusting parameter avoids person works and hurries and ignore parameter adjustment.
(4) replenishment system of the invention, which is not only presented, replenishes as a result, also presenting together to the procedure parameter that replenishes, business personnel
As long as understanding the logic of this patent, just it is easy to Kernel-based methods parameter and makes high-caliber business reorganization.
(5) replenishment system of the invention supports the automatic replenishing in all warehouses of enterprise.
Detailed description of the invention
Fig. 1 is a kind of flow chart of automatic replenishing method based on dynamic stock control；
Fig. 2 is a kind of structure chart of automatic replenishment based on dynamic stock control.
Specific embodiment
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..
Embodiment 1
Below with the specific embodiment technical solution that the present invention will be described in detail, as shown in FIG. 1, FIG. 1 is one kind based on dynamic
The flow chart of the automatic replenishing method of state storage controlling；
The invention discloses it is a kind of based on dynamic stock control automatic replenishing method specifically includes the following steps:
Step S01, classifies to supplies on hand, is divided into A, B and C three classes；
In above-mentioned steps, classify to supplies on hand, step S01 is based on according on conventional materials ABC basis of classification
Coefficient of variation and zero demand week number carry out secondary classification on ABC basis of classification, are generally divided into A1, A2, B1, B2, C class material one
As do not repartition C1, C2.
Coefficient of variation is the parameter for reacting outbound demand fluctuation degree, calculation are as follows: take the sale outbound of 12 weeks durations
Each kind is pressed Zhou Tongji sales volume, calculates the average sales volume and sales volume standard deviation of 12 weeks sales volumes of each kind by historical data,
In, coefficient of variation=sales volume standard deviation/average sales volume.
Zero demand week number be also react outbound demand characteristic parameter, calculation are as follows: take the sale outbound of 12 weeks durations
Each kind is pressed Zhou Tongji sales volume, calculates each kind in 12 weeks historical datas, how many week demand is by historical data
Zero, zero demand week number it is bigger, illustrate that demand is more unstable.
A coefficient of variation and zero demand week number threshold value are taken, A class is divided into A1 class and A2 class, wherein A1 class is fluctuation system
Number is less than the material kind that threshold value and zero demand week number are less than threshold value, remaining kind is A2 class, in preferred embodiment, Ke Yiqu
Coefficient of variation is less than 2 and zero demand week number is less than 6, specifically needs to make the appropriate adjustments in conjunction with result, general classification results are with A1 class
What material kind accounted for A class total quantity 2/3rds is advisable.
Step S02, each of class kind calculate its safety inventory, maximum inventory, minimum inventories and available stock；
1, there are five types of calculation methods for specific safety inventory:
Method 1: the meaning of equation, formula content and each value is as shown below:
Wherein: SS is safety inventory, and SaftyStock is referred to as；
Z: for safety coefficient, actually the standard deviation of normal distribution, this formula think that the quantity of each all demands meets just
State distribution calculates suitable safety inventory based on Normal Distribution Characteristics, and Z is the multiple of standard deviation, and Z takes 1.65, it is meant that 1.65
Times standard deviation, corresponding safety inventory are that 95%, Z takes 2.02 to the Service Efficiency of demand, and corresponding satisfactory rate of information demand is 98%, demand
The coefficient table that Service Efficiency and Z value corresponding relationship can look into normal distribution obtains.
D: average demand, the average value of 12 weeks demand history data；
σd: demand standard deviation, the standard deviation of 12 weeks demand history data；
L: time in advance average value, warehouse replenishing, from assign replenish order to goods storage time difference, generally in terms of day
Amount；
σLTime in advance standard deviation, the order practical time in advance that each replenishes is not identical, this data is the standard deviation of time in advance.
When actually calculating, since the time in advance that replenishes is relatively stable, enterprise be can control, σLIt can consider=0,
To which simplified formula calculates.
Method 2: mobile time in advance a maximum demand method: time in advance is the demand time in advance for selling outbound business herein, is needed
The side of asking releases order, and the time difference of goods is received to demand.Assuming that time in advance is 3 days, then 1-3 days certain month, 2-4 days, 3-5 are calculated
Day ... the sum of the demand of each period is maximized as safety inventory, and general nearest 3 months history outbound data are fallen into a trap
It calculates.
Method 3: most big moon demand method: using maximum moon demand as safety inventory, nearest 3 months history is generally taken
In data, take maximum moon demand as historical data；
Method 4: maximum week demand method: in nearest 3 months historical datas, maximum week demand is as safety inventory；
Method 5: maximum single order method: the quantity required of general nearest 3 middle of the month maximum single order is as security vault
It deposits；
Different safety inventory calculation methods, corresponding different material category, general A class material use 1 security vault of method
Calculation method is deposited, B class uses the safe calculation method of method 2, and C class material is in the calculation method in method 3, method 4 and method 5
Select one kind；
2, the maximum inventory of each kind of every kind of material and minimum inventories calculation method
If the time in advance that material replenishes is M, Replenishment Intervals N, Y are average all demands, generally take calculate within 12 weeks, SS
For safety stock value, then the maximum inventory of the material and minimum inventories value are respectively as follows:
Min=M × Y+SS；
Max=(M+N) × Y+SS；
For B class and C class material, since demand uncertainty is big, can be calculated most in a manner of multiple directly is manually set
Big inventory and minimum inventories, such as；
Min=1.0 × SS
Max=1.5 × SS；Wherein, it 1.0 and 1.5 is set by planner referring to business experience；
3, available stock calculation is calculated
Available stock calculation formula is as follows:
E=L+K-H；
Wherein, L be in real time in hand inventory, K be in product or transportation inventory, it is described product be descended production instruction order but
The logic inventory of storage in progress, the transportation inventory are that material is buying material, and H is generation hair order, and the generation sends out order
For customer order has been received but also not from the order of warehouse picking outbound.
Step S03 calculates each described kind automatic replenishing quantity.
There are three types of the modes of automatic replenishing, if maximum inventory is Max, available stock E, automatic replenishing quantity is R；
(1) it replenishes at random, for each kind, calculates available stock, if minimum inventories can be lower than with library, need to mend
Goods, the quantity that replenishes are R=Max-E.
(2) periodically replenish: all kinds at a fixed time while replenishing.It replenishes the time in material, regardless of available stock
Whether it is lower than minimum inventories, as long as available stock is lower than maximum inventory, replenishes to maximum inventory, the quantity that replenishes is R=Max-
E。
(3) it quantitatively replenishes: quantitatively replenishing for specific kind, when these kinds inventory is lower than minimum inventories, then start
It replenishes, the quantity that replenishes is the fixed quantity that replenishes.
It after step S03, specifically includes: according to the variation of material and business described in predetermined period, adjusting the model that replenishes
In parameter and optimization replenish model；
Since enterprise continually introduces new material, old material is eliminated, so needing constantly more for automatic replenishing model
Parameter in new model.
(1) quarterly classify to the ABC of material, counted again containing A1, A2, B1, B2
It calculates, computation rule will be consistent；
(2) every mistake one week, since historical data has increased newly one week, so each data in above-mentioned model will be counted again
It calculates.Form new safety stock value and maximum inventory's minimum inventories value.So that safety inventory, minimax inventory's total energy
React newest service conditions.
Inventory parameters are updated by above step, in case automatic replenishing next time.
Following situations needs to optimize the model that replenishes the specific embodiment of adjustment:
(1) it replenishes for shops, increases display amount and consider；
For replenishing for shops, shops is considered as a warehouse in business, the kinds of goods on the inventory and shelf in shops warehouse
It is all inventory.But shops is to sell, shelf must display it is full, therefore automatic replenishing model it has to be ensured that shops library
It deposits and is greater than display amount.
If display amount is X, then
Min=M × Y+SS+X；
Max=(M+N) × Y+SS+X；
For B class and C class material
Min=1.0 × SS+X；
Max=1.5 × SS+X；Wherein, it 1.0 and 1.5 is set by planner referring to business experience；
(2) increase to minimum quantity of an order, order the considerations of unit:
Assuming that the minimum quantity of an order of material is U, order unit is P；The automatic replenishing quantity finally calculated is W；
If W < U, the quantity that actually replenishes is adjusted to U；
If W is not equal to the integral multiple of P, it is adjusted to the integral multiple closest to P greater than W；
This programme is based on historical data analysis, is dynamically determined storage controlling parameter, and be based on storage controlling parameter and business
Model, reasonable computation replenish quantity, to realize inventory and more preferable tradeoff out of stock, realize that automation replenishes.
This programme can be applied in following business scenario:
(1) automatic replenishing is carried out to retail shop；
(2) region Fen Cang (RDC) automatic replenishing is given in total storehouse (CDC)；
(3) the warehouse automatic replenishing of electric business is given；
(4) automatic replenishing is carried out to total storehouse by production；
(5) versatility raw material semi-finished product warehouse automatic replenishing is given；
The automatic replenishing in above-mentioned each warehouse can be supported simultaneously with set of system, to bring significant optimization benefit, reduce
Workload.
Embodiment 2
The invention discloses a kind of automatic replenishments based on dynamic stock control, as shown in Figure 2:
Automatic replenishment includes:
Material base data management module 21, for managing the material base data in each warehouse；And it is directed to each product
The management of the information such as the management of the data such as interval time in advance of kind, and minimum display amount, economic order quantity；
Classification of materials module 22, based on the rule that historical data and ABC classify, to all materials be ABC classification and A1,
A2, B1, B2 classification；
Channel and storehouse management module 23, for defining channel members and warehouse, a channel members can have multiple storehouses
Library；Channel members are the tissues for possessing warehouse replenishing decision-making power, therefore must also manage inside system；
Business datum mould 24 is used for for materiel warehouse-out historical data to be imported into this system from the information system of enterprise
Calculate every inventory parameters；
The model management module that replenishes 25 is calculated for defining various safety inventory computation models and maximum inventory's minimum inventories
Model, including replenish, periodically replenish and the model that quantitatively replenishes, model management at random, it further include ginseng required for various models
Number definition.
Automatic replenishing module 26, for the setting of each material of each warehouse reasonable replenish model and model
The parameter confirmation for including, then according to historical data, binding model is automatic to calculate the quantity that replenishes.And it is used in the result that will replenish
Parameter be presented to the user, facilitate user to judge the result that replenishes, if adjustment, can be adjusted based on relevant parameter.
User and authority management module 27 are arranged multiple users, assign user and execute each mould for managing multiple roles
The permission of block function.
In addition to input basic data and other than being manually adjusted to the result that replenishes, other various functions can system it is automatic
Change task execution, to reduce person works' amount, improve work efficiency, reduce company to key business person technical ability according to
Rely.This programme has also played the performance that replenishes well in practice, and this programme can be applied in following business scenario:
(1) automatic replenishing is carried out to retail shop；
(2) region Fen Cang (RDC) automatic replenishing is given in total storehouse；
(3) the warehouse automatic replenishing of electric business is given；
(4) it is worked out a production plan based on the automatic replenishing demand to total storehouse；
(5) versatility raw material semi-finished product warehouse automatic replenishing is given；
The automatic replenishing in above-mentioned each warehouse can be supported simultaneously with set of system, to bring significant optimization benefit, reduce
Workload.
Embodiment 3
Technical solution of the present invention is illustrated by taking a stationery enterprise as an example below:
Certain stationery enterprise actually had the product variety of sale to have 6000 kinds in 1 year, and product is divided into a major class more than 20, about
A group more than 260 increases about 1200 kinds of product variety newly every year, while eliminating more than 1000.The product of company passes through level-one
Dealer and second level distributor are wholesale to national more than 20 ten thousand retail terminals, have 30 level-one dealers, a second level more than 1200
Dealer.There is a total storehouse in company, and respectively there are a warehouse in each level-one dealer and second level distributor, for stocking up and selling.
It is a problem that how dealer, which formulates reasonable purchasing order,.The original processing mode of company is as follows: from system
Real-time inventory and transportation inventory are exported to excel file, calculates available stock；Sales histories data are exported to excel, calculates and moves
Dynamic average sales volume, as future sales quantity, calculating future replenishes quantity.That there are drawbacks is as follows for this operation: not due to model
To the greatest extent rationally, main or manual decision；People worries shortage of goods, and the quantity that replenishes is totally higher.Replenish heavy workload, level-one dealer one
As there are three planners to spend three day time, need to work respectively daily two hours and complete the work that replenishes.
After automatic replenishment, system calculates the quantity that replenishes according to automatic replenishing model, and model can dynamic
Adjustment, adapts to newest service conditions, and replenish reasonable quantity, and the workload that replenishes decline more than 80% only needs 1 people one hour daily
Whole categories are completed to replenish work.System is after certain second level distributor's pilot was using 2 months, and inventory reduces 50%, shortage of goods
Rate is also slightly reduced.System is that client brings enormous benefits: inventory significantly reduces, shortage of goods is reduced, business efficiency significantly improves.Mesh
Predecessor company is to whole channel promotions.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of automatic replenishing method based on dynamic stock control characterized by comprising
Classify to supplies on hand, is divided into A, B and C three classes；
Its safety inventory, maximum inventory, minimum inventories and available stock are calculated to each of every kind of classification kind；
Calculate each kind automatic replenishing quantity.
2. the method as described in claim 1, which is characterized in that classify to supplies on hand, be divided into A, B and C three classes, specifically
Include:
According to coefficient of variation and zero demand week number A class and B class are subjected to secondary classification respectively, are divided into A1, A2, B1, B2, C class is not
Secondary classification is carried out again；
Wherein, coefficient of variation=sales volume standard deviation/average sales volume；
The coefficient of variation and zero demand week number calculating cycle are 12 weeks.
3. the method as described in claim 1, which is characterized in that the safety inventory calculation of A class material are as follows:
Wherein: SS is safety inventory, and Z is safety coefficient, d average demand, the average value of 12 weeks demand history data；σdDemand
Measure standard deviation, the standard deviation of 12 weeks demand history data；L time in advance average value；σLTime in advance standard deviation.
4. the method as described in claim 1, which is characterized in that the safety inventory calculation of B class material are as follows:
Mobile time in advance a maximum demand method, wherein time in advance releases order to demand for party in request and receives the time difference of goods, right
Multiple predetermined periods seek the demand summation of party in request respectively, take maximum demand summation as safety inventory.
5. the method as described in claim 1, which is characterized in that the safety inventory calculation of C class material, including it is following it
One:
Most big moon demand method, in predetermined period using maximum moon demand as safety inventory；
Maximum week demand method, in predetermined period using maximum all demands as safety inventory；
Maximum single order method, in predetermined period using the demand of maximum single order as safety inventory.
6. the method as described in claim 1, which is characterized in that the maximum inventory of each of every kind of classification kind and minimum
Inventory's calculation, comprising:
For A class material, then maximum inventory and minimum inventories value are respectively as follows:
Min=M × Y+SS, Max=(M+N) × Y+SS；
Wherein, M is the time in advance that material replenishes, and N is Replenishment Intervals, and Y is average all demands, and SS is safety stock value；
For B class and C class material, then maximum inventory and minimum inventories value are respectively as follows:
Min=q1× SS, Max=q2×SS
Wherein, q1<q2。
7. the method as described in claim 1, which is characterized in that the available stock calculating side of each of every kind of classification kind
Formula, comprising:
E=L+K-H；
Wherein, L is in real time in hand inventory, and K is in product or transportation inventory, and described in product is to have descended production instruction order but not yet
The logic inventory for the storage that completes, the transportation inventory are that material is buying material, and H is generation hair order, and the generation hair order is
It is received to arrive customer order but also not from the order of warehouse picking outbound.
8. the method as described in claim 1, which is characterized in that calculate automatic replenishing quantity, including following one:
It replenishes at random, each of every kind of classification kind needs to replenish if available stock is lower than minimum inventories, the benefit
The calculation formula of goods quantity are as follows: R=Max-E, wherein Max is maximum inventory, E available stock, R automatic replenishing quantity；
Timing replenishes, and domestic demand replenishes each of every kind of classification kind simultaneously at a fixed time, replenishes the time when in material
When, regardless of whether available stock is lower than minimum inventories, as long as available stock is lower than maximum inventory, replenishes to maximum inventory, mend
Goods number calculation formula is R=Max-E, wherein Max is maximum inventory, E available stock, R automatic replenishing quantity；
It quantitatively replenishes, quantitatively replenishes for specific kind, when these kinds inventory is lower than minimum inventories, then carry out starting benefit
Goods, the quantity that replenishes are the fixed quantity that replenishes.
9. the method as described in claim 1, which is characterized in that specific to wrap after calculating each kind automatic replenishing quantity
It includes:
According to the variation of material in predetermined period and business, adjustment replenishes the parameter in model and optimization replenishes model.
10. a kind of automatic replenishment based on dynamic stock control characterized by comprising
Material base data management module, for managing the material base data in each warehouse；
Classification of materials module, the rule based on historical data and Classification of materials, for classifying to all materials；
Channel and storehouse management module, for defining channel members and warehouse, a channel members can have multiple warehouses；
Business data module, for calculating every inventory parameters according to materiel warehouse-out historical data；
Replenish model management module, for defining various safety inventory computation models, maximum inventory's computation model and minimum inventories
Computation model；
Automatic replenishing module, for the setting of every class material reasonable replenish model and the mould that replenishes in each warehouse
The parameter confirmation that type includes calculates the quantity that replenishes, and will replenish then according to historical data and in conjunction with the model that replenishes automatically
As a result the parameter used in is presented to the user；
For managing multiple roles, and multiple users are arranged in user and authority management module, assign user and execute modules function
The permission of energy.
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Cited By (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658030A (en) * | 2018-12-14 | 2019-04-19 | 合肥美的智能科技有限公司 | Upper pallet piling up method, system, server and computer readable storage medium |
| CN109711778A (en) * | 2018-12-26 | 2019-05-03 | 南方科技大学 | A kind of the stock allotment method, apparatus and storage medium of network of storing in a warehouse |
| CN109740988A (en) * | 2018-12-28 | 2019-05-10 | 上汽通用五菱汽车股份有限公司 | Method, equipment and storage medium are alloted in accessory consignment and direct selling based on fitting system |
| CN109741097A (en) * | 2018-12-26 | 2019-05-10 | 复旦大学 | A kind of adaptive calculation of price method based on the service of goods period |
| CN109754207A (en) * | 2018-12-26 | 2019-05-14 | 秒针信息技术有限公司 | The determination method and device of Inventory Transshipment information, storage medium, electronic device |
| CN111429048A (en) * | 2019-01-09 | 2020-07-17 | 北京沃东天骏信息技术有限公司 | Method, device and equipment for determining replenishment information |
| CN111985863A (en) * | 2019-05-24 | 2020-11-24 | 北京京东尚科信息技术有限公司 | Inventory management method and device for set of machine type articles, electronic equipment and storage medium |
| CN112150056A (en) * | 2019-06-28 | 2020-12-29 | 北京京东尚科信息技术有限公司 | Method, device and storage medium for determining replenishment period |
| CN112596930A (en) * | 2020-12-29 | 2021-04-02 | 四川汇安融信息技术服务有限公司 | Method for dynamically filling independent cache pool inventory |
| CN112700196A (en) * | 2020-12-31 | 2021-04-23 | 北京百分点科技集团股份有限公司 | Commodity purchasing method and device, storage medium and electronic equipment |
| CN112884389A (en) * | 2019-11-29 | 2021-06-01 | 北京沃东天骏信息技术有限公司 | Data processing method and device |
| CN112884393A (en) * | 2020-03-19 | 2021-06-01 | 上海爱奇尔贸易有限公司 | Inventory replenishment method and device and electronic equipment |
| CN113191794A (en) * | 2021-04-15 | 2021-07-30 | 杭州白秋科技有限公司 | Commodity sales condition statistical method, device, equipment and storage medium |
| CN113283831A (en) * | 2021-05-07 | 2021-08-20 | 云南电网有限责任公司曲靖供电局 | Safety inventory control method based on periodic inspection inventory replenishment strategy |
| CN113450042A (en) * | 2020-03-25 | 2021-09-28 | 北京京东乾石科技有限公司 | Method and device for determining replenishment quantity |
| CN113570303A (en) * | 2021-06-30 | 2021-10-29 | 杭州万纵信息科技有限公司 | Method and system for automatically replenishing goods for cross-border e-commerce |
| CN113610455A (en) * | 2021-07-06 | 2021-11-05 | 中科云谷科技有限公司 | System and method for adjusting and dialing engineering machinery accessories |
| CN113743843A (en) * | 2020-05-29 | 2021-12-03 | 北京沃东天骏信息技术有限公司 | Product management method and related equipment |
| CN113762828A (en) * | 2020-08-03 | 2021-12-07 | 北京京东振世信息技术有限公司 | Replenishment method, replenishment device, electronic equipment and storage medium |
| CN113762552A (en) * | 2020-12-10 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for transferring articles |
| CN114707933A (en) * | 2022-04-11 | 2022-07-05 | 武汉全一激光科技有限公司 | Intelligent factory inventory intelligent management method, system and storage medium |
| WO2022190596A1 (en) * | 2021-03-09 | 2022-09-15 | 三菱電機株式会社 | Information processing device, stock management system, information processing method, and program |
| CN115689452A (en) * | 2022-11-14 | 2023-02-03 | 深圳市金洲精工科技股份有限公司 | Drill bit inventory plan management method |
| CN117252517A (en) * | 2023-11-20 | 2023-12-19 | 深圳美云集网络科技有限责任公司 | Asynchronous lock storehouse system |
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Cited By (31)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109658030A (en) * | 2018-12-14 | 2019-04-19 | 合肥美的智能科技有限公司 | Upper pallet piling up method, system, server and computer readable storage medium |
| CN109658030B (en) * | 2018-12-14 | 2023-04-11 | 合肥美的智能科技有限公司 | Goods loading method, system, server and computer readable storage medium |
| CN109711778A (en) * | 2018-12-26 | 2019-05-03 | 南方科技大学 | A kind of the stock allotment method, apparatus and storage medium of network of storing in a warehouse |
| CN109741097A (en) * | 2018-12-26 | 2019-05-10 | 复旦大学 | A kind of adaptive calculation of price method based on the service of goods period |
| CN109754207A (en) * | 2018-12-26 | 2019-05-14 | 秒针信息技术有限公司 | The determination method and device of Inventory Transshipment information, storage medium, electronic device |
| CN109740988A (en) * | 2018-12-28 | 2019-05-10 | 上汽通用五菱汽车股份有限公司 | Method, equipment and storage medium are alloted in accessory consignment and direct selling based on fitting system |
| CN111429048B (en) * | 2019-01-09 | 2024-04-16 | 北京沃东天骏信息技术有限公司 | Method, device and equipment for determining replenishment information |
| CN111429048A (en) * | 2019-01-09 | 2020-07-17 | 北京沃东天骏信息技术有限公司 | Method, device and equipment for determining replenishment information |
| CN111985863A (en) * | 2019-05-24 | 2020-11-24 | 北京京东尚科信息技术有限公司 | Inventory management method and device for set of machine type articles, electronic equipment and storage medium |
| CN111985863B (en) * | 2019-05-24 | 2024-04-12 | 北京京东振世信息技术有限公司 | Inventory management method and device for sleeve machine type articles, electronic equipment and storage medium |
| CN112150056A (en) * | 2019-06-28 | 2020-12-29 | 北京京东尚科信息技术有限公司 | Method, device and storage medium for determining replenishment period |
| CN112884389A (en) * | 2019-11-29 | 2021-06-01 | 北京沃东天骏信息技术有限公司 | Data processing method and device |
| CN112884393A (en) * | 2020-03-19 | 2021-06-01 | 上海爱奇尔贸易有限公司 | Inventory replenishment method and device and electronic equipment |
| CN113450042A (en) * | 2020-03-25 | 2021-09-28 | 北京京东乾石科技有限公司 | Method and device for determining replenishment quantity |
| CN113743843A (en) * | 2020-05-29 | 2021-12-03 | 北京沃东天骏信息技术有限公司 | Product management method and related equipment |
| CN113762828A (en) * | 2020-08-03 | 2021-12-07 | 北京京东振世信息技术有限公司 | Replenishment method, replenishment device, electronic equipment and storage medium |
| CN113762828B (en) * | 2020-08-03 | 2024-04-09 | 北京京东振世信息技术有限公司 | Method and device for supplementing goods, electronic equipment and storage medium |
| CN113762552A (en) * | 2020-12-10 | 2021-12-07 | 北京沃东天骏信息技术有限公司 | Method and device for transferring articles |
| CN112596930A (en) * | 2020-12-29 | 2021-04-02 | 四川汇安融信息技术服务有限公司 | Method for dynamically filling independent cache pool inventory |
| CN112596930B (en) * | 2020-12-29 | 2024-03-01 | 四川汇安融信息技术股份有限公司 | Method for dynamically filling independent cache pool stock |
| CN112700196A (en) * | 2020-12-31 | 2021-04-23 | 北京百分点科技集团股份有限公司 | Commodity purchasing method and device, storage medium and electronic equipment |
| WO2022190596A1 (en) * | 2021-03-09 | 2022-09-15 | 三菱電機株式会社 | Information processing device, stock management system, information processing method, and program |
| CN113191794A (en) * | 2021-04-15 | 2021-07-30 | 杭州白秋科技有限公司 | Commodity sales condition statistical method, device, equipment and storage medium |
| CN113283831B (en) * | 2021-05-07 | 2024-01-26 | 云南电网有限责任公司曲靖供电局 | Safety stock control method based on periodic checking stock replenishment strategy |
| CN113283831A (en) * | 2021-05-07 | 2021-08-20 | 云南电网有限责任公司曲靖供电局 | Safety inventory control method based on periodic inspection inventory replenishment strategy |
| CN113570303A (en) * | 2021-06-30 | 2021-10-29 | 杭州万纵信息科技有限公司 | Method and system for automatically replenishing goods for cross-border e-commerce |
| CN113610455A (en) * | 2021-07-06 | 2021-11-05 | 中科云谷科技有限公司 | System and method for adjusting and dialing engineering machinery accessories |
| CN114707933A (en) * | 2022-04-11 | 2022-07-05 | 武汉全一激光科技有限公司 | Intelligent factory inventory intelligent management method, system and storage medium |
| CN115689452B (en) * | 2022-11-14 | 2023-06-20 | 深圳市金洲精工科技股份有限公司 | Drill stock planning management method |
| CN115689452A (en) * | 2022-11-14 | 2023-02-03 | 深圳市金洲精工科技股份有限公司 | Drill bit inventory plan management method |
| CN117252517A (en) * | 2023-11-20 | 2023-12-19 | 深圳美云集网络科技有限责任公司 | Asynchronous lock storehouse system |
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Application publication date: 20181211 |