CN110458505A - Fresh commodity Flexible Manufacture control method and device - Google Patents
Fresh commodity Flexible Manufacture control method and device Download PDFInfo
- Publication number
- CN110458505A CN110458505A CN201910775754.7A CN201910775754A CN110458505A CN 110458505 A CN110458505 A CN 110458505A CN 201910775754 A CN201910775754 A CN 201910775754A CN 110458505 A CN110458505 A CN 110458505A
- Authority
- CN
- China
- Prior art keywords
- redundancy
- node
- time
- ratio
- coefficient
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
-
- 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
Abstract
This application provides a kind of fresh commodity Flexible Manufacture control method and device, and the method includes estimating total sales volume according to the real-time sale amount in store at the first setting time node in stock process;According to the sorting amount at total sales volume and the first setting time node, amount to be sorted is determined;Determine the remaining inventory at the first setting time node and the ratio of amount to be sorted;And the weight range for the single tender being packaged according to ratio adjustment, and sorting packing is carried out to remaining inventory according to weight range adjusted.More commodity of getting ready the goods are adjusted it in time and process redundancy lower coefficient limit value by the application real-time prediction sales volume and quantity in stock current according to fresh commodity, to achieve the purpose that reduce the surplus loss of commodity point;The commodity that can not be replenished again insufficient for stock adjust it in time, and to process redundancy coefficient online, to achieve the purpose that reduce risk out of stock.
Description
Technical field
The application belongs to cargo processing technique field, in particular to a kind of fresh commodity Flexible Manufacture control method and dress
It sets.
Background technique
Fresh electric business be different from common electric business place be exactly managed commodity nonstandardized technique, fresh commodity are before sale
It often is allowed to standardize in such a way that preprocessing is packaged, is convenient for providing good shopping experience for client in this way.
How to reduce the loss of fresh commodity in the circulation process is to improve supply chain efficiency in fresh electric business business activities
An importance.To guarantee that client can receive bought commodity in time, fresh electric business daily can be pre- according to history sales volume
A certain number of commercial sources are first purchased, carry out preprocessing packing in warehouse;Tender weight due to the nonstandard property of commodity, after packing
Amount is also to float up and down in a certain range, which is exactly to process the section bound of redundancy coefficient.Because sales volume
Fluctuation often will appear the actual sales volume that the pre- commodity amount adopted is more than the same day, the commodity for causing the same day not gone out by sale
It will be damaged since freshness is reduced by part report at second day;Or again can not when adopting commodity amount in advance less than same day actual sales volume
It replenishes, leads to situation out of stock.With the continuous expansion of electric business scale of operation, the work pattern of processing redundancy coefficient is fixed at present
It has been unable to satisfy the needs for being further reduced point surplus loss and reducing risk out of stock.Especially for fresh agricultural products intrinsic season
How the process of fresh cargo and inventory and sales volume management linkage are got up, adopt an effective measure and mention by section property, perishable property
Elastic management in high process is the challenge that fresh cargo process management system needs to solve.
Summary of the invention
At least one in order to solve the above-mentioned technical problem, this application provides a kind of fresh commodity Flexible Manufacture control methods
And device, it adjusts the ability of fresh commodity processing redundancy coefficient in time according to inventory and in real time prediction sales volume, reaches and effectively reduce
The purpose divided surplus loss, reduce risk out of stock.
The first aspect of the application, fresh commodity Flexible Manufacture control method, comprising:
At the first setting time node in stock process, total sale is estimated according to the real-time sale amount in store
Amount;According to the sorting amount at the total sales volume and the first setting time node, amount to be sorted is determined;Determine described
The ratio of remaining inventory and the amount to be sorted at one setting time node;And it is beaten according to ratio adjustment is described
The weight range of the single tender of packet, and sorting packing is carried out to remaining inventory according to weight range adjusted.
According at least one embodiment of the application, after the first setting time node, also have it is multiple its
Its timing node, and the list being packaged is adjusted according to the ratio calculated at the timing node at each timing node
The weight range of a tender, and sorting is carried out to the remaining inventory after the timing node according to weight range adjusted and is beaten
Packet.
According at least one embodiment of the application, the first setting time node and a number of other timing nodes
In, there is prefixed time interval, and the last one timing node is no earlier than store and cuts single time between adjacent time node, it is described
Real-time sale amount after the single time of store section is total sales volume.
According at least one embodiment of the application, the single tender being packaged is adjusted according to the ratio
Weight range includes: setting stock alarm upper threshold and redundancy lower coefficient limit range;And when the ratio is more than the library
When depositing the alarm threshold upper limit, redundancy lower coefficient limit value is improved within the scope of the redundancy lower coefficient limit.
According at least one embodiment of the application, the single tender being packaged is adjusted according to the ratio
Weight range includes: setting stock alarm bottom threshold and redundancy coefficient upper range;And when the ratio is lower than the library
When depositing alarm threshold lower limit, redundancy coefficient upper limit value is reduced in the redundancy coefficient upper range.
The application second aspect provides a kind of fresh commodity Flexible Manufacture control device, comprising:
Total sales volume estimates module, at the first setting time node in stock process, according to store
Real-time sale amount estimates total sales volume;Amount determining module to be sorted, when for according to the total sales volume and first setting
Sorting amount at intermediate node, determines amount to be sorted;Ratio calculation module, for determining at the first setting time node
The ratio of remaining inventory and the amount to be sorted;And redundancy adjusts module, for being beaten according to ratio adjustment is described
The weight range of the single tender of packet, and sorting packing is carried out to remaining inventory according to weight range adjusted.
According at least one embodiment of the application, described device further includes node sets module, for setting first
Timing node and a number of other timing nodes after the first setting time node, the fresh commodity Flexible Manufacture control
Device processed adjusts the single tender being packaged according to the ratio calculated at the timing node at each timing node
Weight range, and sorting packing is carried out to the remaining inventory after the timing node according to weight range adjusted.
According at least one embodiment of the application, described device further includes time monitoring module, for monitoring whether
Reach setting time node, wherein in the first setting time node and a number of other timing nodes, adjacent time node
Between there is prefixed time interval, and the last one timing node is no earlier than store and cuts single time, the store cut single time it
Real-time sale amount afterwards is total sales volume.
According at least one embodiment of the application, the redundancy adjustment module includes: that the adjustment of redundancy lower coefficient limit is single
Member, for setting stock alarm upper threshold and redundancy lower coefficient limit range;And when the ratio is more than the stock alarm
When upper threshold, redundancy lower coefficient limit value is improved within the scope of the redundancy lower coefficient limit.
According at least one embodiment of the application, the redundancy adjustment module includes: that the adjustment of the redundancy coefficient upper limit is single
Member, for setting stock alarm bottom threshold and redundancy coefficient upper range;And when the ratio is lower than the stock alarm
When bottom threshold, redundancy coefficient upper limit value is reduced in the redundancy coefficient upper range.
The application by using by fresh commodity process control with supply and demand real-time matching degree linkage technological means,
Reach the technical effect of dynamic adjustment processing redundancy coefficient, to how to the greatest extent to realize in more and insufficient situation of getting ready the goods of getting ready the goods
Amount reduces the problem of dividing surplus and reduction risk out of stock.
The application real-time prediction sales volume and quantity in stock current according to fresh commodity, for getting ready the goods, more commodity are adjusted in time
Whole its processes redundancy lower coefficient limit value, to reach the target for reducing the surplus loss of commodity point;It can not replenish again for stock deficiency
Commodity adjust in time its process redundancy coefficient it is online, with reach reduce risk out of stock target.
Detailed description of the invention
Fig. 1 is the flow chart of a preferred embodiment of the fresh commodity Flexible Manufacture control method of the application.
Fig. 2 is the flow chart of another preferred embodiment of the fresh commodity Flexible Manufacture control method of the application.
Fig. 3 is the architecture diagram of a preferred embodiment of the fresh commodity Flexible Manufacture control device of the application.
Fig. 4 is the server system schematic diagram of the fresh commodity Flexible Manufacture control device of the application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application implementation clearer, below in conjunction with the application embodiment
In attached drawing, the technical solution in the application embodiment is further described in more detail.In the accompanying drawings, identical from beginning to end
Or similar label indicates same or similar element or element with the same or similar functions.Described embodiment is
A part of embodiment of the application, rather than whole embodiments.Embodiment below with reference to attached drawing description is to show
Example property, it is intended to for explaining the application, and should not be understood as the limitation to the application.Based on the embodiment in the application,
Every other embodiment obtained by those of ordinary skill in the art without making creative efforts belongs to this
Apply for the range of protection.Presently filed embodiment is described in detail with reference to the accompanying drawing.
This application provides a kind of fresh commodity Flexible Manufacture control method and device, for the stock to set weight into
Row sorting is packaged, and the weight for the single tender being packaged is floated within a preset range.As shown in Figure 1, the fresh commodity are soft
Property processing control method includes:
Step S1, it at the first setting time node in stock process, is estimated according to the real-time sale amount in store
Total sales volume.
First setting time node has generally performed part processing to stock, and store has received part
Order (i.e. real-time sale amount), such as daily the dusk time-division, estimate total sales volume can using time ratios method, such as the
The ratio between order volume and total sales volume at one setting time node is equivalent to sell the ratio of time and total time, into
And estimating for total sales volume can be carried out, in alternate embodiment, it can also be estimated using history sales volume trend, such as with
Time and sales volume form two-dimensional coordinate system, and the area that the sales volume curve and time shaft that history produces under the two-dimensional coordinate system are formed is made
For total sales volume, total pin is estimated according to the area before the first setting time node on the same day and the first setting time node later
The amount of selling.
Step S2, it according to the sorting amount at the total sales volume and the first setting time node, determines to be sorted
Amount.
In this example, amount=total sales volume-to be sorted sorting amount.
Step S3, the remaining inventory at the first setting time node and the ratio of the amount to be sorted are determined.
In this example, remaining inventory is that total inventory subtracts the inventory consumed by sorting, it should be noted that due to being packaged as
Non-standard is packaged, and there are redundancy sections, and therefore, sorting amount might not be identical as inventory's consumption, for example, single tender
Weight is 10 jin, and after being packaged 10, the amount of sorting of formation is 100 jin, but might not really consume 100 jin of inventories at this time,
It is possible that only consuming 95 jin of inventories.
Step S4, the weight range of the single tender being packaged is adjusted according to the ratio, and according to adjustment after
Weight range sorting packing is carried out to remaining inventory.
Step S4 may further be divided into the adjustment of the weight range upper limit and the adjustment of weight range lower limit.
The weight range upper limit adjustment includes: setting stock alarm upper threshold and redundancy lower coefficient limit range;And
When the ratio is more than the stock alarm upper threshold, redundancy lower coefficient limit is improved within the scope of the redundancy lower coefficient limit
Value.
The weight range lower limit adjustment includes: setting stock alarm bottom threshold and redundancy coefficient upper range;And
When the ratio is lower than the stock alarm bottom threshold, the redundancy coefficient upper limit is reduced in the redundancy coefficient upper range
Value.
It should be noted that the upper and lower limits of redundancy coefficient are identical as the weight range essence of single tender in this example,
The upper and lower limits that redundancy coefficient can be replaced using the weight range of single tender, can also be to form redundancy after bi-directional scaling
The upper and lower limits of coefficient, such as weight range are 9-11 jins, and redundancy coefficient corresponds to 0.9-1.1, it is to be understood that due to
Step S3 ratio calculated is generally near numerical value 1, at this point, the upper limit of stock alarm threshold value and lower limit are also just arranged in numerical value
Near 1, in order to easy to adjust, it is proposed that the weight range of single tender is carried out equal proportion adjustment, sets the redundancy coefficient to be formed
It is scheduled near numerical value 1.
In the present embodiment, improving redundancy lower coefficient limit value or reducing redundancy coefficient upper limit value can directly be adjusted to limit
Value, can also gradually adjust limits value, for example, redundancy lower coefficient limit range is 0.95-1.05, when the ratio is more than
When the stock alarm upper threshold, redundancy lower coefficient limit directly can be adjusted to 1.05, can also according to the ratio with
The difference range determination of the stock alarm upper threshold is sized, such as difference is 0.1-0.2, then this is adjusted redundancy
Lower coefficient limit increases by 0.1, if difference is 0.2 or more, redundancy lower coefficient limit is increased by 0.2 by this adjustment.Alternative embodiment party
, can also be using the ratio of calculating as adjustment target value in formula, such as the ratio of calculating is 0.98, is less than under stock alarm threshold value
Limit, then by the 0.98 redundancy coefficient upper limit as this adjustment.
In this example, when adjusting redundancy lower coefficient limit, the redundancy coefficient upper limit will be reset as initial value;It adjusts on redundancy coefficient
In limited time, redundancy lower coefficient limit will be reset as initial value.It, can be with while adjusting redundancy lower coefficient limit in alternate embodiment
The equidirectional adjustment redundancy coefficient upper limit, such as redundancy lower coefficient limit increase by 0.5, and the redundancy coefficient upper limit also increases by 0.5;Redundancy coefficient
The upper limit reduces by 0.5, then redundancy lower coefficient limit also reduces by 0.5, but its adjustment is no more than predetermined value, such as total redundancy coefficient
Range is 0.9-1.1, and when redundancy lower coefficient limit is adjusted to 1.05, the redundancy coefficient upper limit only up to be transferred to 1.1.
In some optional embodiments, after the first setting time node, segmentum intercalaris when also having a number of other
Point, and the single tender being packaged is adjusted according to the ratio calculated at the timing node at each timing node
Weight range, and sorting packing is carried out to the remaining inventory after the timing node according to weight range adjusted.
It is understood that by the above-mentioned means, realizing the lasting adjustment of the weight range of single tender, i.e. redundancy system
The lasting adjustment of number value ranges, by the adjustment, the problem of surplus and reduction risk out of stock can be reduced point to the greatest extent.
It is adjacent in the first setting time node and a number of other timing nodes in some optional embodiments
There is prefixed time interval, and the last one timing node is no earlier than store and cuts single time between timing node, the store is cut
Real-time sale amount after single time is total sales volume.
Concrete case is given below, process refers to Fig. 2.
Assuming that effective commodity processing redundancy coefficient value range is [0.9,1.1], redundancy lower coefficient limit maximum value is
1.08, i.e. its adjusting range is 0.9-1.08, and redundancy coefficient upper limit minimum value is 0.92, the i.e. adjusting range of the redundancy coefficient upper limit
For 0.92-1.1.
The stock alarm threshold range of given commodity is [0.97,1.03], i.e., if ratio reduces whole redundancy lower than 0.97
The coefficient upper limit increases redundancy lower coefficient limit if ratio is greater than 1.03.
In the present embodiment, it is 1500 jin that same day commodity adopt stock storage quantity in advance, and commercial articles vending packet rule are 10 jin of dresses.Flexibility control
The starting time of system processed is 8 o'clock sharps of evening, primary prediction sales volume in real time is updated every 1 hour, i.e., when 8 o'clock sharps of evening are first
Intermediate node, 9 points are the second timing node, and 10 points are third timing node ....
At night 8 when actual sales volume (effective sale refers to order) be 850 jin, the whole day sales volume predicted accordingly be 1340
Jin;Sorting amount is 300 jin, 295 jin of actual consumption inventory;Remaining available stock is (1500-295)=1205 jin at this time.It can
With quantity in stock/(predicting sales volume-sorting amount)=1205/ (1340-300)=1.159, it has been greater than the alarm threshold upper limit 1.03,
Then it executes redundancy lower limit and adjusts logic, the popular surplus goods that are interpreted as are excessive, and overabsorption cargo when single tender is packaged recalculates
Redundancy coefficient bound --- the redundancy coefficient upper limit=1.1, redundancy lower coefficient limit=min (1.08,1.159)=1.08, then
The processing redundancy coefficient of process operation platform is updated, following process is carried out by this coefficient.
At night 9 when actual sales volume be 1200 jin, prediction whole day sales volume be 1560 jin;Sorting amount is 550 jin, is actually disappeared
Consuming inventory is (295+273)=568 jin;Remaining available stock is (1500-675)=932 jin at this time.Available stock amount/(prediction
Sales volume-sorting amount)=932/ (1560-550)=0.923, it has been less than alarm threshold lower limit 0.97, has then executed the redundancy upper limit
Logic is adjusted, popular to be interpreted as cargo inadequate, it is desirable to reduce the weight of single tender recalculates redundancy coefficient bound ---
The redundancy coefficient upper limit=max (0.92,0.923)=0.923, redundancy lower coefficient limit=0.9.Then adding for process operation platform is updated
Work redundancy coefficient, following process are carried out by this coefficient.
At night 10 when actual sales volume be 1480 jin, prediction whole day sales volume be 1575 jin;Sorting amount is 810 jin, practical
Consuming inventory is (295+273+237)=805 jin;Remaining available stock is (1500-805)=695 jin at this time.Available stock
Amount/(predicting sales volume-sorting amount)=695/ (1575-810)=0.908, has been less than alarm threshold lower limit 0.97, has then executed
The redundancy upper limit adjusts logic, recalculates redundancy coefficient bound --- and the redundancy coefficient upper limit=max (0.92,0.908)=
0.92, redundancy lower coefficient limit=0.9.Then the processing redundancy coefficient of process operation platform is updated, following process is carried out by this coefficient
At night 11 when store cut single, same day whole day actual sales volume is 1560 jin, predicts that sales volume is same day reality at this time
1560 jin of sales volume;Sorting amount is 1060 jin, and actual consumption inventory is (295+273+237+227)=1032 jin;It is remaining at this time
Available stock is (1500-1032)=468 jin.Available stock amount/(predicting sales volume-sorting amount)=468/ (1560-1070)
=0.955, it has been less than alarm threshold lower limit 0.97, has then executed the redundancy upper limit and adjust logic, recalculate redundancy coefficient or more
Limit --- the redundancy coefficient upper limit=max (0.92,0.955)=0.955, redundancy lower coefficient limit=0.9.Then process operation is updated
The processing redundancy coefficient of platform, following process are carried out by this coefficient.
At night 12: 50 when process finishing, sorting amount be 1560 jin, 1500 jin of wholes of inventory run out of;Same day inventory is surplus
Remaining is 0, also out of stock without generating.
If the same day can generate lacking for (1560-1500)=60 jin using dynamic adjustment processing redundancy coefficient technology
Goods influences the buying experience of user.
The application second aspect provides a kind of fresh commodity Flexible Manufacture control device, to realize the above method, such as Fig. 3
It is shown, comprising: total sales volume estimates module, at the first setting time node in stock process, according to store
Real-time sale amount estimate total sales volume;Amount determining module to be sorted, for according to the total sales volume and first setting
Sorting amount at timing node, determines amount to be sorted;Ratio calculation module, for determining at the first setting time node
Remaining inventory and the amount to be sorted ratio;And redundancy adjusts module, for adjusting the progress according to the ratio
The weight range for the single tender being packaged, and sorting packing is carried out to remaining inventory according to weight range adjusted.
In some optional embodiments, described device further includes node sets module, for setting first time node
And a number of other timing nodes after the first setting time node, the fresh commodity Flexible Manufacture control device exist
The weight model of the single tender being packaged is adjusted at each timing node according to the ratio calculated at the timing node
It encloses, and sorting packing is carried out to the remaining inventory after the timing node according to weight range adjusted.
In some optional embodiments, described device further includes time monitoring module, reaches setting for monitoring whether
Timing node, wherein in the first setting time node and a number of other timing nodes, have between adjacent time node
Prefixed time interval, and the last one timing node is no earlier than store and cuts single time, it is real-time after the single time of the store section
Sales volume is total sales volume.
In some optional embodiments, the redundancy adjustment module includes: redundancy lower coefficient limit adjustment unit, for setting
Determine stock alarm upper threshold and redundancy lower coefficient limit range;And when the ratio is more than the stock alarm upper threshold
When, redundancy lower coefficient limit value is improved within the scope of the redundancy lower coefficient limit.
In some optional embodiments, the redundancy adjustment module includes: redundancy coefficient upper limit adjustment unit, for setting
Determine stock alarm bottom threshold and redundancy coefficient upper range;And when the ratio is lower than the stock alarm bottom threshold
When, redundancy coefficient upper limit value is reduced in the redundancy coefficient upper range.
Particularly, it according to presently filed embodiment, may be implemented as calculating above with reference to the process of flow chart description
Machine software program.For example, presently filed embodiment includes a kind of computer program product comprising be carried on computer-readable
Computer program on medium, the computer program include the program code for method shown in execution flow chart.The application
Computer storage medium to can be computer-readable signal media or computer readable storage medium either both above-mentioned
Any combination.Computer readable storage medium for example may be-but not limited to-electricity, magnetic, optical, electromagnetic, infrared ray,
Or system, device or the device of semiconductor, or any above combination.The more specific example of computer readable storage medium
Can include but is not limited to: electrical connection, portable computer diskette with one or more conducting wires, hard disk, random access are deposited
Reservoir (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, Portable, compact
Disk read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
It should be appreciated that according to presently filed embodiment, when above-mentioned apparatus is configured on computer server 200, such as
Shown in Fig. 4, server-side configuration module 102, server-side nucleus module 104, server-side message module 106 are generally comprised.
Server-side configuration module 102 is to be responsible for maintenance commodity excess threshold information in server-side;Offer is inquired, is modified, deleting
Except etc. functions.Server-side nucleus module 104 realizes that the major function of Flexible Manufacture control system, including sales volume are predicted in real time, are standby
The screening of goods excess commodity and processing redundancy coefficient calculate.Server-side message module 106 is responsible for updated processing redundancy coefficient
It is pushed to process operation platform.
In this application, computer readable storage medium can be any tangible medium for including or store program, the journey
Sequence can be commanded execution system, device or device use or in connection.And in this application, it is computer-readable
Signal media may include in a base band or as carrier wave a part propagate data-signal, wherein carrying computer can
The program code of reading.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal, optical signal or
Above-mentioned any appropriate combination.Computer-readable signal media can also be any other than computer readable storage medium
Computer-readable medium, the computer-readable medium can send, propagate or transmit for by instruction execution system, device or
Person's device uses or program in connection.The program code for including on computer-readable medium can be with any appropriate
Medium transmission, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Flow chart and block diagram in attached drawing illustrate system, method and computer according to the various embodiments of the application
The architecture, function and operation in the cards of program product.In this regard, each box in flowchart or block diagram can be with
A part of a module, program segment or code is represented, a part of the module, program segment or code includes one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong
The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in module or unit involved in the application embodiment can be realized by way of software, can also
It is realized in a manner of through hardware.Described module or unit also can be set in the processor, these modules or unit
Title do not constitute the restriction to the module or unit itself under certain conditions.
The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any
Within the technical scope of the present application, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
Cover within the scope of protection of this application.Therefore, the protection scope of the application should be with the scope of protection of the claims
It is quasi-.
Claims (10)
1. fresh commodity Flexible Manufacture control method carries out sorting packing for the stock to set weight, the list being packaged
The weight of a tender is floated within a preset range, which is characterized in that the described method includes:
At the first setting time node in stock process, total sales volume is estimated according to the real-time sale amount in store;
According to the sorting amount at the total sales volume and the first setting time node, amount to be sorted is determined;
Determine the remaining inventory at the first setting time node and the ratio of the amount to be sorted;And
The weight range of the single tender being packaged is adjusted according to the ratio, and according to weight range pair adjusted
Remaining inventory carries out sorting packing.
2. fresh commodity Flexible Manufacture control method as described in claim 1, which is characterized in that in first setting time
After node, also there are a number of other timing nodes, and according to the ratio calculated at the timing node at each timing node
Value adjusts the weight range of the single tender being packaged, and according to weight range adjusted to the timing node it
Remaining inventory afterwards carries out sorting packing.
3. fresh commodity Flexible Manufacture control method as claimed in claim 2, which is characterized in that the first setting time section
In point and a number of other timing nodes, there is prefixed time interval, and the last one timing node between adjacent time node
It is no earlier than store to cut single time, the real-time sale amount after the single time of the store section is total sales volume.
4. fresh commodity Flexible Manufacture control method as described in claim 1, which is characterized in that adjust institute according to the ratio
The weight range for stating the single tender being packaged includes:
Set stock alarm upper threshold and redundancy lower coefficient limit range;And
When the ratio is more than the stock alarm upper threshold, redundancy coefficient is improved within the scope of the redundancy lower coefficient limit
Lower limit value.
5. fresh commodity Flexible Manufacture control method as described in claim 1, which is characterized in that adjust institute according to the ratio
The weight range for stating the single tender being packaged includes:
Set stock alarm bottom threshold and redundancy coefficient upper range;And
When the ratio is lower than the stock alarm bottom threshold, redundancy coefficient is reduced in the redundancy coefficient upper range
Upper limit value.
6. fresh commodity Flexible Manufacture control device characterized by comprising
Total sales volume estimates module, at the first setting time node in stock process, according to the real-time of store
Sales volume estimates total sales volume;
Amount determining module to be sorted, for according to the sorting amount at the total sales volume and the first setting time node,
Determine amount to be sorted;
Ratio calculation module, for determining the remaining inventory at the first setting time node and the ratio of the amount to be sorted
Value;And
Redundancy coefficient adjustment module, for adjusting the weight range of the single tender being packaged according to the ratio, and
Sorting packing is carried out to remaining inventory according to weight range adjusted.
7. fresh commodity Flexible Manufacture control device as claimed in claim 6, which is characterized in that described device further includes node
Setting module, for setting first time node and a number of other timing nodes after the first setting time node,
The fresh commodity Flexible Manufacture control device is at each timing node according to the ratio adjustment calculated at the timing node
The weight range of the single tender being packaged, and according to weight range adjusted to surplus after the timing node
Remaining inventory carries out sorting packing.
8. fresh commodity Flexible Manufacture control device as claimed in claim 7, which is characterized in that described device further includes the time
Monitoring module, for monitor whether reach setting time node, wherein the first setting time node and it is a number of other when
In intermediate node, there is prefixed time interval between adjacent time node, and when the last one timing node is no earlier than store and cuts single
Between, the real-time sale amount after the single time of the store section is total sales volume.
9. fresh commodity Flexible Manufacture control device as claimed in claim 6, which is characterized in that the redundancy adjusts module packet
It includes:
Redundancy lower coefficient limit adjustment unit, for setting stock alarm upper threshold and redundancy lower coefficient limit range;And work as institute
When stating ratio more than the stock alarm upper threshold, redundancy lower coefficient limit value is improved within the scope of the redundancy lower coefficient limit.
10. fresh commodity Flexible Manufacture control device as claimed in claim 6, which is characterized in that the redundancy adjusts module
Include:
Redundancy coefficient upper limit adjustment unit, for setting stock alarm bottom threshold and redundancy coefficient upper range;And work as institute
When stating ratio lower than the stock alarm bottom threshold, redundancy coefficient upper limit value is reduced in the redundancy coefficient upper range.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910775754.7A CN110458505B (en) | 2019-08-21 | 2019-08-21 | Flexible processing control method and device for fresh goods |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910775754.7A CN110458505B (en) | 2019-08-21 | 2019-08-21 | Flexible processing control method and device for fresh goods |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110458505A true CN110458505A (en) | 2019-11-15 |
CN110458505B CN110458505B (en) | 2023-05-26 |
Family
ID=68488343
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910775754.7A Active CN110458505B (en) | 2019-08-21 | 2019-08-21 | Flexible processing control method and device for fresh goods |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110458505B (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110942207A (en) * | 2019-12-06 | 2020-03-31 | 北京云杉世界信息技术有限公司 | Method and device for determining to-be-processed amount of fresh product |
CN116070995A (en) * | 2023-01-17 | 2023-05-05 | 深圳市秦丝科技有限公司 | Store purchase, sale and stock management system and method based on big data analysis |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002259502A (en) * | 2001-03-05 | 2002-09-13 | Ishida Co Ltd | Apparatus, method and program for manufacturing instruction |
JP2010086048A (en) * | 2008-09-29 | 2010-04-15 | Hitachi Ltd | System, method and program for optimizing loss cost |
CN109272181A (en) * | 2017-07-18 | 2019-01-25 | 阿里巴巴集团控股有限公司 | Data object information processing method, apparatus and system |
CN109829618A (en) * | 2018-12-28 | 2019-05-31 | 宁波瓜瓜农业科技有限公司 | The method of processing capacity is determined in fresh process |
CN109829671A (en) * | 2018-12-30 | 2019-05-31 | 北京云杉世界信息技术有限公司 | The method of fresh cargo outbound |
-
2019
- 2019-08-21 CN CN201910775754.7A patent/CN110458505B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002259502A (en) * | 2001-03-05 | 2002-09-13 | Ishida Co Ltd | Apparatus, method and program for manufacturing instruction |
JP2010086048A (en) * | 2008-09-29 | 2010-04-15 | Hitachi Ltd | System, method and program for optimizing loss cost |
CN109272181A (en) * | 2017-07-18 | 2019-01-25 | 阿里巴巴集团控股有限公司 | Data object information processing method, apparatus and system |
CN109829618A (en) * | 2018-12-28 | 2019-05-31 | 宁波瓜瓜农业科技有限公司 | The method of processing capacity is determined in fresh process |
CN109829671A (en) * | 2018-12-30 | 2019-05-31 | 北京云杉世界信息技术有限公司 | The method of fresh cargo outbound |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110942207A (en) * | 2019-12-06 | 2020-03-31 | 北京云杉世界信息技术有限公司 | Method and device for determining to-be-processed amount of fresh product |
CN116070995A (en) * | 2023-01-17 | 2023-05-05 | 深圳市秦丝科技有限公司 | Store purchase, sale and stock management system and method based on big data analysis |
CN116070995B (en) * | 2023-01-17 | 2023-10-24 | 深圳市秦丝科技有限公司 | Store purchase, sale and stock management system and method based on big data analysis |
Also Published As
Publication number | Publication date |
---|---|
CN110458505B (en) | 2023-05-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Farahani et al. | Integrated production and distribution planning for perishable food products | |
US10762247B2 (en) | System and method of producing a multi component product | |
Roldán et al. | Robustness of inventory replenishment and customer selection policies for the dynamic and stochastic inventory-routing problem | |
CN111340421A (en) | Purchasing method | |
Wang et al. | Solving a joint pricing and inventory control problem for perishables via deep reinforcement learning | |
US10528903B2 (en) | Computerized promotion and markdown price scheduling | |
CN112884393A (en) | Inventory replenishment method and device and electronic equipment | |
CN110458505A (en) | Fresh commodity Flexible Manufacture control method and device | |
US10776803B2 (en) | Computerized promotion and markdown price scheduling | |
CN106991544A (en) | Allot system and allot method | |
US7089196B2 (en) | System and method for lean inventory management | |
US10467638B2 (en) | Generating work products using work product metrics and predicted constituent availability | |
KR20210014432A (en) | Method for accurate estimating demand of Raw Materials Using System for estimating demand of Raw Materials | |
JP6943253B2 (en) | Servers, systems, methods and programs that determine the number of SKUs | |
Eksler et al. | An EOQ model for multiple products with varying degrees of substitutability | |
Dahane et al. | Development of joint maintenance and production strategies in a subcontracting environment | |
CN106537442A (en) | Collection amount regulation assist apparatus, collection amount regulation assist method, and computer-readable recording medium | |
JP2020187416A (en) | Physical distribution management system | |
EP1357498A2 (en) | Stock planning method | |
CN115034709A (en) | Inventory management method and device | |
JP2023018217A (en) | Information processing apparatus, information processing method, and program | |
JP7023213B2 (en) | Learning management system and learning management method | |
JP2005089060A (en) | Device and method for determining physical distribution base, and its program | |
WO2023174001A1 (en) | Cargo information processing method, apparatus and device | |
JP2001265866A (en) | Sale stock simulator, article stock management system with built-in sale stock simulator, and sale stock simulation method correcting opportunity loss |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
TA01 | Transfer of patent application right | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20211018 Address after: No. 306, floor 3, No. 1, District 5, anzhen Xili, Chaoyang District, Beijing 100029 Applicant after: BEIJING YUNSHANSHIJIE INFORMATION TECHNOLOGY Co.,Ltd. Address before: 402, floor 4, No. 1, District 5, anzhen Xili, Chaoyang District, Beijing 100029 Applicant before: Beijing Meixian Technology Co.,Ltd. |
|
GR01 | Patent grant | ||
GR01 | Patent grant |