CN106683028A - Warehouse distribution network configuration method and warehouse distribution network configuration device - Google Patents
Warehouse distribution network configuration method and warehouse distribution network configuration device Download PDFInfo
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Abstract
The application provides a warehouse distribution network configuration method and a warehouse distribution network configuration device. A warehouse distribution network is configured differently under different service requirements based on the different service requirements of the services in the warehouse distribution network. The method comprises the following steps: carrying out modeling according to the description information of logistics resources in a warehouse distribution network to generate a physical warehouse distribution network model; configuring virtual warehouse distribution networks corresponding to services for the physical warehouse distribution network model according to the service requirements of the services in the warehouse distribution network; and for each service in the warehouse distribution network, configuring the parameters of the virtual warehouse distribution network corresponding to the service. According to the technical scheme of the application, different personalized demands of different services in a warehouse distribution network can be satisfied.
Description
Technical field
The application is related to logistics management field, more particularly to a kind of collocation method and dress of storehouse distribution network
Put.
Background technology
Logistics storehouse distribution network is collectively constituted by the Logistics Cooperation side of many different roles, such as stored in a warehouse
Partner, main line partner, dispensing partner etc., the partner of these different roles is closed by cooperateing with
Make complete article storage, transport and dispense etc. task.The efficiency of logistics storehouse distribution network operation is direct
Have influence on article interaction both sides (article recipient and article sender), logistics management platform and
The experience of Logistics Cooperation side.For example, efficient network operating can improve the efficiency of dispensing, be lifted
The logistics experience of article recipient;Good logistics experience can strengthen article recipient and article is sent
The degree of recognition and loyalty of the article that side provides;The lifting of article recipient's loyalty can cause article to send out
The interactive quantity of the side of sending is lifted;In order to consolidate the interactive quantity of continuous lifting, article sender is to logistics service
Attention degree will increase, such as using the more preferable storage partner etc. of service;Because of article sender
Attention to logistics service, the partner of various roles will certainly constantly lift service quality, so that
The running efficiency for obtaining logistics storehouse distribution network is improved constantly, so as to form a positive feedback network.
Role and large number of, topological structure complexity of the logistics storehouse distribution network because of the partner for participating in,
The business scenario of carrying extremely enriches, and with the continuous development of storehouse distribution network, how efficiently to support business
And keep storehouse distribution network efficiency and be stably a critically important proposition.Fig. 1 shows existing
The principle schematic of storehouse distribution network Managed Solution.With reference to shown in Fig. 1, existing storehouse distribution network manager
Case, is modeled to the storehouse of physics according to resource entity with resource, generates physics storehouse distribution network model.
Wherein, the resource entity is the description information of logistic resources, for describing each kind of logistic resources
Property, the correlation between logistic resources.Various parameters setting is carried out for physics storehouse distribution network model,
Operation system carries out decision-making according to the parameter configuration of storehouse distribution network to specific resource routing;Industry
Business system obtains the various information of storehouse distribution network system, including physics storehouse distribution network and storehouse distribution network parameter
Configuration information, and according to these information realizing the propulsion of flow process.During actual system is called,
Up-stream system can carry out the measures such as corresponding stream control according to the loading condition of down-stream system, it is ensured that call chain
The safety on road.
Existing storehouse distribution network Managed Solution has the following disadvantages:
(1) although physics storehouse distribution network model can be carried out well to actual storehouse distribution network resource
Modeling, the rapidly development of support business, but enriching constantly with business scenario, it is personalized
Business demand continuously emerges, and physics storehouse distribution network model has some in terms of some business are supported to be stranded
Difficulty, be mainly shown as different business be to the resource using mode in the distribution network of physics storehouse it is different,
For example, as shown in figure 1, in the distribution network model of physics storehouse, there is main line company between A storehouses and B storehouses
Connect, then be reachable between A storehouses and B storehouses, but in actual business scenario, may
Ask and be unable to UNICOM between A storehouses and B storehouses, it is therefore desirable to be able to guarantee mutual between different business
Do not disturb, the scheme of independent evolution.
(2) storehouse distribution network has stronger dynamic, constantly there is new partner's addition, old conjunction
Work side exit and different partner weight change.With the angle of partner in the distribution network system of storehouse
Color and quantity be continuously increased and the network system on the business that carries enrich constantly, need to weigh storehouse
The health degree of distribution network, accordingly weighing impact of the network change event to health degree, but existing thing
Lack a kind of mechanism to weigh impact of this dynamic to storehouse distribution network in reason storehouse distribution network model.
(3) although existing can be ensured well based on the flow-control mechanism for calling link load to realize
Stablizing for link is entirely called, but this method is, based on system level, to lack to storehouse distribution network
Efficiency and stable consideration, accordingly, it would be desirable to introduce a kind of intelligent scheduling scheme, network health
Situation, realizes the equilibrium of storehouse distribution network efficiency and stability.
The content of the invention
One purpose of the application is to provide a kind of collocation method and device of storehouse distribution network so that match somebody with somebody in storehouse
Can not interfere with each other between different business in network.
According to the one side of the application, there is provided a kind of collocation method of storehouse distribution network, the configuration side
Different business of the method based on each business in the distribution network of storehouse requires to enter storehouse distribution network in the case where different business is required
The different configuration of row, the method is comprised the following steps:
It is modeled according to the description information of logistic resources in the distribution network of storehouse, so as to generate physics storehouse distribution network
Model;
The business need of each business in the storehouse distribution network is respectively the physics storehouse distribution network mould
Type configures the corresponding virtual storehouse distribution network of each business;
For each business in the storehouse distribution network, virtual storehouse distribution network corresponding to each business is carried out
Parameter configuration.
According to the another aspect of the application, a kind of managing device of storehouse distribution network is additionally provided, it is described to match somebody with somebody
Different business requirement of the device based on each business in the distribution network of storehouse is put under different business requirement to storehouse distribution
Network carries out different configurations, it is characterised in that the device includes:
Model signal generating unit, for being modeled according to the description information of logistic resources in the distribution network of storehouse, from
And generate physics storehouse distribution network model;
First dispensing unit, the business need for each business in the storehouse distribution network is respectively
The physics storehouse distribution network model configures the corresponding virtual storehouse distribution network of each business;
Second dispensing unit, for for each business in the storehouse distribution network, to each business correspondence
Virtual storehouse distribution network carry out parameter configuration.
Compared with prior art, embodiments herein has advantages below:
Embodiments herein is corresponding by being respectively provided with for each different business in the distribution network of storehouse
Virtual storehouse distribution network, meets the different individual demands of different business in the distribution network of storehouse, while so as to storehouse
The management and control of distribution network is more flexible.Also, the configuration parameter between different business is mutually isolated,
The independence of business development can be ensured.
Embodiments herein is arranged according to business need to the predefined parameter in different storehouse distribution networks
Corresponding index, threshold rule and meet the process logic that threshold rule is carried out, it is right so as to be formed
The network health degree model answered, and by the operation of monitor in real time predefined parameter Real-time Feedback storehouse distribution network
Situation, by threshold rule triggering corresponding process logic is performed, can be by the critical change of storehouse distribution network
Change situation feeds back to operation system, so that operation system carries out respective handling.
Embodiments herein is performed according to the scheduling of the health degree control business task of storehouse distribution network, so as to
Realize the efficiency of storehouse distribution network and stable equilibrium.
Description of the drawings
By reading the detailed description made to non-limiting example made with reference to the following drawings, this Shen
Other features, objects and advantages please will become more apparent upon:
Fig. 1 is the schematic diagram of distribution network Managed Solution in storehouse of the prior art;
The flow chart of the method that Fig. 2 is provided for the application one embodiment;
Fig. 3 a are the diagram of a physics storehouse distribution network model according to the application;
Fig. 3 b are the correlation of logistic resources in a physics storehouse distribution network model according to the application
List;
Fig. 4 a are the diagram of a virtual storehouse distribution network model according to the application;
Fig. 4 b are the mutual of each logistic resources in a virtual storehouse distribution network model according to the application
Relation list;
Fig. 5 is the parameter configuration exemplary plot of the virtual storehouse distribution network according to the embodiment of the present application;
The flow chart of the method that Fig. 6 is provided for the application another embodiment;
The flow chart of the method that Fig. 7 is provided for the application another embodiment;
The schematic device that Fig. 8 is provided for the application one embodiment;
The schematic device that Fig. 9 is provided for the application another embodiment;
The schematic device that Figure 10 is provided for the application another embodiment.
Same or analogous reference represents same or analogous part in accompanying drawing.
Specific embodiment
It should be mentioned that some exemplary enforcements before exemplary embodiment is discussed in greater detail
Example is described as process or the method described as flow chart.Although flow chart is described as operations
The process of order, but many of which operation can by concurrently, concomitantly or while implement.
Additionally, the order of operations can be rearranged.The process when its operations are completed can be by
Terminate, it is also possible to have the additional step being not included in accompanying drawing.The process can correspond to
Method, function, code, subroutine, subprogram etc..
Alleged within a context " computer equipment ", also referred to as " computer ", referring to can be pre- by operation
Determine program or instruction to perform the smart electronicses of the predetermined process process such as numerical computations and/or logical calculated
Equipment, it can include processor and memory, the survival prestored in memory by computing device
Instruct to perform predetermined process process, or book office is performed by hardware such as ASIC, FPGA, DSP
Reason process, or combined to realize by said two devices.Computer equipment include but is not limited to server,
PC, notebook computer, panel computer, smart mobile phone etc..
The computer equipment includes user equipment and the network equipment.Wherein, the user equipment includes
But it is not limited to computer, smart mobile phone, PDA etc.;The network equipment includes but is not limited to single network
Server, multiple webservers composition server group or based on cloud computing (Cloud Computing)
The cloud being made up of a large amount of computers or the webserver, wherein, cloud computing is the one of Distributed Calculation
Kind, a super virtual computer being made up of the loosely-coupled computer collection of a group.Wherein, it is described
Computer equipment can isolated operation can access realizing the application, also network and by with network in its
The interactive operation of his computer equipment is realizing the application.Wherein, the net residing for the computer equipment
Network includes but is not limited to internet, wide area network, Metropolitan Area Network (MAN), LAN, VPN etc..
It should be noted that the user equipment, the network equipment and network etc. are only for example, other show
Computer equipment that is having or being likely to occur from now on or network are such as applicable to the application, also should be included in
Within the application protection domain, and it is incorporated herein by reference.
Method (some of them are illustrated by flow process) discussed hereafter can by hardware, software,
Firmware, middleware, microcode, hardware description language or its any combination are implementing.When with software,
When firmware, middleware or microcode are to implement, to the program code or code segment of implementing necessary task
During machine or computer-readable medium (such as storage medium) can be stored in.(one or more)
Processor can implement necessary task.
Concrete structure disclosed herein and function detail are only representational, and are for describing
The purpose of the exemplary embodiment of the application.But the application can be by many alternative forms come concrete
Realize, and be not interpreted as being limited only by the embodiments set forth herein.
Although it should be appreciated that may have been used term " first ", " second " etc. here to retouch
Unit is stated, but these units should not be limited by these terms.It is only using these terms
In order to a unit and another unit are made a distinction.For example, without departing substantially from exemplary enforcement
In the case of the scope of example, first module can be referred to as second unit, and similarly second unit
First module can be referred to as.Term "and/or" used herein above include one of them or it is more listed
Any and all combination of the associated item for going out.
Term used herein above is not intended to limit exemplary just for the sake of description specific embodiment
Embodiment.Unless the context clearly dictates otherwise, singulative " one " otherwise used herein above,
" one " alsos attempt to include plural number.It is to be further understood that term " including " used herein above and/
Or "comprising" specifies the presence of stated feature, integer, step, operation, unit and/or component,
And do not preclude the presence or addition of one or more other features, integer, step, operation, unit, group
Part and/or its combination.
It should further be mentioned that in some replaces realization modes, the function/action being previously mentioned can be by
Occur according to the order different from indicating in accompanying drawing.For example, depending on involved function/action,
The two width figures for illustrating in succession can essentially substantially simultaneously perform or sometimes can be according to contrary
Order is performing.
The application is described in further detail below in conjunction with the accompanying drawings.
Fig. 2 is the collocation method flow chart of the storehouse distribution network of the application one embodiment.According to the application
Method 1 at least include step 110, step 120 and step 130.
Different business of the collocation method based on each business in the distribution network of storehouse is required in different business
Different configurations are carried out to storehouse distribution network under requirement.
With reference to Fig. 2, in step 110, carried out according to the description information of logistic resources in the distribution network of storehouse
Modeling, so as to generate physics storehouse distribution network model.
The storehouse distribution network is referred to be integrated by logistics management platform, so as to be stored in a warehouse, main line
The network system of the physics formed Deng logistic resources.The description information of the logistic resources refer to for
The information of the correlation between the attribute and logistic resources of the logistic resources in description storehouse distribution network, i.e.,
Resource entity.Wherein, the attribute of the logistic resources for example include resource publisher, resource location,
Resource capability etc.;Correlation between the logistic resources includes:Connection between logistic resources is closed
System, for example, is connected between A warehouses and B warehouses by main line L1.The description information of logistic resources
For example can be produced by way of manual entry.For example, network logistics keeper can provide logistics
The configuration system of the correlation manual entry the application between the attribute and logistic resources in source.Or can
To provide an input page to logistic resources provider, by logistic resources provider be input into by logistics
Correlation between the attribute and logistic resources of resource is stored in configuration system.For example, to storage
The provider of resource provides an input page, and the provider of resource of storing in a warehouse is input into address, the face in warehouse
The information such as product, volume, then the information of input is stored in configuration system.
The storehouse distribution network of physics is modeled according to the description information of the logistic resources, is formed
The physics storehouse distribution network model of the storehouse distribution network of the physics.It can similar in background technology according to thing
The mode of the description information modeling of stream resource is carrying out.
With reference to Fig. 3 a and Fig. 3 b, Fig. 3 a are showing for a physics storehouse distribution network model according to the application
Example;Fig. 3 b are the correlations of logistic resources in a physics storehouse distribution network model according to the application
List.
There are 4 warehouses, respectively A warehouses, B warehouses, C warehouses in the distribution network model of physics storehouse
With D warehouses, wherein, have between A warehouses and B warehouses L1 and L2 Liang Ge main lines partner connect;
There are tri- main line partner connections of L1, L2 and L3 between A warehouses and D warehouses;A warehouses and C
There are tri- main line partner connections of L2, L3 and L4 between warehouse.
With reference to Fig. 2, in the step 120, the business need of each business in the storehouse distribution network
Respectively described physics storehouse distribution network model configures the corresponding virtual storehouse distribution network of each business.
Specifically, according to the connection between logistic resources related to business in the business need of each business
Relation and/or the requirement of relation is alloted, from the physics storehouse distribution network model corresponding logistic resources are removed
Between connection and/or logistic resources, to obtain the corresponding virtual storehouse distribution network of each business.Wherein, institute
Logistic resources are stated including warehousing entities and main line.
Annexation in the business need according to each business between the logistic resources related to business
And/or the requirement of relation is alloted, remove between corresponding logistic resources from the physics storehouse distribution network model
Connection and/or include following at least one the step of logistic resources:
If the business need of business specifies to connect between specific warehousing entities, from the physics storehouse
The all main lines in the connection and the connection between specific warehousing entities are removed in distribution network model;Such as
The business need of fruit business specifies to connect by particular trunk between specific warehousing entities, then from described
The particular trunk in the connection between specific warehousing entities is removed in the distribution network model of physics storehouse;If industry
The business need regulation of business can not be alloted directly to specific warehousing entities, then from physics storehouse distribution
The connection between the specific warehousing entities, other warehousing entities and the specific warehousing entities is removed in network model
And the upper all main lines of connection.
For example, in the physics storehouse distribution network model shown in Fig. 3 a, have between A warehouses and D warehouses L1,
Tri- main line partner connections of L2 and L3, have L2, L3 and L4 tri- to do between A warehouses and C warehouses
Line partner connects, but the business need of a business specifies that the article in A warehouses can not directly to D storehouses
Storehouse is alloted, and can not be entered using the trunk resource of main line partner L4 between A warehouses and C storehouses storehouse
Row transport, in order to adapt to above-mentioned business need, then removes connection and the company between A warehouses and D warehouses
Connect all main lines, remove the main line L4 between A warehouses and C storehouses storehouse, so as to by physics storehouse distribution network
Model configures the virtual storehouse distribution network corresponding to the business to be formed as shown in fig. 4 a.In the virtual storehouse distribution
In network, there are the connection of L1 and L2 Liang Ge main lines partner, A warehouses and C storehouses between A warehouses and B warehouses
There is L2 and L3 Liang Ge main lines partner to connect between storehouse.Fig. 4 b are each things in the virtual storehouse distribution network
The correlation list of stream resource.
Wherein, each virtual storehouse distribution network is the physics storehouse distribution network representated by the distribution network model of physics storehouse
Subset, the ability that each virtual storehouse distribution network is externally provided is also the ability that the physics storehouse distribution network is provided
Subset, if a physics storehouse distribution network is configured to multiple virtual storehouse distribution networks, the plurality of virtual storehouse
The union of the ability that distribution network is provided is also the subset of the physics storehouse distribution network.
With reference to Fig. 2, in step 130, for each business in the storehouse distribution network, to each industry
Corresponding virtual storehouse distribution network of being engaged in carries out parameter configuration.
Fig. 5 is the parameter configuration exemplary plot of the virtual storehouse distribution network according to the embodiment of the present application.With reference to Fig. 5,
The corresponding virtual storehouse distribution network of each different business corresponds to respectively different parameters.
In one embodiment, the parameter in the parameter configuration includes the company between two warehousing entities
Connect each main line to also need to pull the freight volume of receipts in the special time cycle, it is described in the storehouse distribution network
Each business, include the step of virtual storehouse distribution network corresponding to each business carries out parameter configuration:
Each main line in the connection is added into the connection in the freight volume that the special time cycle also needs to pull receipts
Upper each main line has pulled the freight volume of receipts in the special time cycle, so as to obtain each main line in the connection
In the freight volume summation in special time cycle;By each main line of the freight volume summation in the connection it
Between according to each main line acknowledgement of consignment ratio be allocated, each should pull in the special time cycle so as to obtain each main line
The freight volume of receipts;Each main line is deducted into each main line in spy in the freight volume that the special time cycle should each pull receipts
Cycle of fixing time has pulled the freight volume of receipts, each also needs in the special time cycle so as to obtain each main line
Pull the freight volume of receipts.
For example, in the virtual service storehouse distribution network shown in Fig. 4 a and Fig. 4 b, in the current time cycle
Having the article of 600 lists between A warehouses and C warehouses needs to carry out pulling and receive and transport, and in A warehouses and
Between C warehouses L2 and L3 pulled receive article quantity be respectively it is 100 single and 300 single, by L2 and
L3 also needs to pull the freight volume of receipts plus the freight volume for having pulled receipts, obtains between A warehouses and C warehouses,
The freight volume summation of L2 and L3 current time periods is 1000 single;Main line between A warehouses and C warehouses
The acknowledgement of consignment ratio of L2 and L3 is 1:1, then by the freight volume summation for obtaining between L2 and L3 according to L2
It is allocated with the acknowledgement of consignment ratio of L3, obtaining L2 and L3 should each pull receipts in current time period
Freight volume is respectively 500 single and 500 lists, then the L2 for obtaining and L3 is respective in current time period
The freight volume that receipts should be pulled deducts the freight volume that L2 and L3 has pulled receipts, obtains L2 and L3 in current time
The freight volume for each also needing to pull receipts in cycle is respectively 400 single and 200 lists.
Based on this, the parameter in the parameter configuration includes each main line in the connection between two warehousing entities
Also need to pull the freight volume of receipts in the special time cycle, described each business in the storehouse distribution network,
The step of virtual storehouse distribution network corresponding to each business carries out parameter configuration also includes:
After special time end cycle, determine that each main line in the connection was completed in the special time week
Phase pulls freight volume real time of receipts;With each main line special time cycle pull the freight volume of receipts divided by
Freight volume that each main line completes to pull receipts in the special time cycle real time, obtain when this is specific
Between cycle each main line conevying efficiency;By the ratio between the conevying efficiency of special time cycle each main line
Example carries ratio as each main line of subsequent time period.
For example, after a upper time cycle terminates, the main line L2 between A warehouses and B warehouses was obtained
The time real with the freight volume that L3 completes to pull receipts is respectively 10 hours and 20 hours, by L2 and L3
The freight volume 500 for each pulling receipts in a upper time cycle is single single with 500, is respectively divided by L2 and L3 exists
The time cycle completes to pull freight volume real time of receipts, then obtain L2 and L3 in the time cycle
Conevying efficiency (freight volume in the unit interval, unit is:List/hour) be respectively 50 list/hours and
25 list/hours, then by the ratio 2: 1 of the conevying efficiency of time cycle L2 and L3, as future time
The acknowledgement of consignment ratio of period L 2 and L3 between A warehouses and B warehouses.
With enriching constantly for the business scenario carried in the distribution network of storehouse, different types of business is to storehouse distribution
The individual demand of network is continuously increased.According to embodiments herein, by the distribution network of storehouse each
Different business is respectively provided with corresponding virtual storehouse distribution network, meets the difference of different business in the distribution network of storehouse
Individual demand, while so that management and control to storehouse distribution network are more flexible.Also, different industry
Configuration parameter between business is mutually isolated, and can ensure the independence of business development.
Based on above-described embodiment, the present processes 1 also include step S140~step S170.
With reference to Fig. 6, in step S 140, match somebody with somebody for the physics storehouse distribution network model and each virtual storehouse
Each in network, obtains corresponding network health degree model.
The network health degree model is for the physics storehouse distribution network model and each virtual storehouse distribution
What network was set up respectively, for monitoring the network of targeted physics storehouse distribution network model or virtual storehouse distribution network
Health degree.
The network health degree model is included in targeted physics storehouse distribution network model or virtual storehouse distribution network
The corresponding threshold rule of predefined parameter, and the correspondence when the predefined parameter meets corresponding threshold rule
Process logic.
The corresponding threshold rule of predefined parameter in the physics storehouse distribution network model or each virtual storehouse distribution network,
It is to be set respectively based on the index of the predefined parameter in the physics storehouse distribution network model or each virtual storehouse distribution network
Put.The predefined parameter is included but is not limited to:The physics storehouse distribution network model or each virtual storehouse distribution
Quantity in stock, the physics storehouse distribution network model of the article of article sender in each warehousing entities in network
Or the actual transportation time of each main line and the physics storehouse distribution network model in each virtual storehouse distribution network
Or in each virtual storehouse distribution network each warehousing entities and each main line Congestion Level SPCC.Correspondingly, it is described pre-
The index for determining parameter is included but is not limited to:In the physics storehouse distribution network model or each virtual storehouse distribution network
Safety stock (index of quantity in stock), the physics storehouse of the article sender in each warehousing entities
The transport timeliness (index of haulage time) of each main line in distribution network model or each virtual storehouse distribution network,
And each warehousing entities and each main line in the physics storehouse distribution network model or each virtual storehouse distribution network
Congestion threshold (index of Congestion Level SPCC).
By taking the corresponding business of virtual storehouse distribution network shown in Fig. 4 a and Fig. 4 b as an example:
Safety stock refers to minimum storehouse of the special article of special article sender in specific warehousing entities
Storage.Therefore, safety stock is arranged according to the dimension of article sender, article and warehousing entities.
For example, the article X of article sender A in the virtual storehouse distribution network shown in Fig. 4 a and Fig. 4 b is set
Safety stock in B warehouses and D warehouses is respectively 100 and 120.That is, thing
Quantitys in stock of the article X of product sender A in B warehouses and D warehouses be respectively necessary for reaching 100 and
120.
Transport timeliness refers to that each main line transports article to the time used by destination from starting point.For example,
In virtual storehouse distribution network shown in Fig. 4 a and Fig. 4 b, the transport timeliness of L1 is 36 hours, the fortune of L2
Defeated timeliness is 24 hours, and L3 is 36 hours.
The congestion threshold of warehousing entities can be represented with the warehouse-in in warehouse and the ability of outbound.Wherein, storehouse
The warehouse-in in storehouse and the ability of outbound are specifically as follows the aggregate storage capaciry in warehouse, for example, A, B, C warehouse
Congestion threshold be warehouse-in and outbound ability 80%, i.e. the 80% of warehouse aggregate storage capaciry.Main line
Congestion threshold can be represented with the transport capacity of main line.Wherein, the transport capacity of main line is specifically as follows
The main line unit interval can transport the maximum freight volume of article.Such as L1 can transport daily the maximum transport of article
Measure as 300 singly, it is 500 single gathering around main line L1, L2 that L2 can transport daily the maximum freight volume of article
Plug threshold value be set to the congestion threshold of the 90% of transport capacity, i.e. L1, L2 be respectively it is 270 single, 450
It is single.
The different threshold rule of different predefined parameter correspondences, these threshold rules are to control corresponding place
The triggering of reason logic is performed.
Specifically, the threshold rule corresponding to predefined parameter includes:
(1) it is for the threshold rule of quantity in stock:If the actual inventory of warehousing entities is less than security vault
First predetermined percentage (such as 110%) of storage, then triggering performs corresponding process logic.
(2) it is for the threshold rule of the haulage time of main line:If the transport timeliness of reality is more than setting
Transport timeliness the second predetermined percentage (such as 120%), then triggering performs corresponding process logic.
(3) Congestion Level SPCC or the threshold rule of the Congestion Level SPCC of main line for warehousing entities be:If pre-
The Congestion Level SPCC of the Congestion Level SPCC of (for example, 1 hour) warehousing entities or main line is more than and sets in fixing time
The congestion threshold put, then triggering performs corresponding process logic.For example, the occupied inventory limitation in warehouse
More than the 80% of the aggregate storage capaciry in warehouse, or the freight volume of main line is more than the maximum number that can transport article
Amount 90% when, triggering performs corresponding process logic.
When the predefined parameter in the physics storehouse distribution network model and each virtual storehouse distribution network meets correspondence
Threshold rule when, it will triggering performs corresponding process logic.
Specifically, corresponding process logic includes when the predefined parameter meets corresponding threshold rule:
(1) if meeting the threshold rule of safety stock, stock allotment request is sent to scheduling engine,
To ask scheduling engine to carry out stock allotment operation as needed.Scheduling engine responds the stock allotment request,
It is determined that the stockpile number alloted is needed, and operation is alloted accordingly in execution.
(2) if meeting the threshold rule of transport timeliness, pre-alert notification is sent to operation system, so as to
Operation system carries out respective handling.For example, freight volume ratio of main line etc. is adjusted.
(3) if meeting the threshold rule of the congestion threshold of warehousing entities or the congestion threshold of main line, to
Scheduling engine sends the request for reducing scheduling frequency.So as to reduce scheduling frequency by scheduling engine, so that
Obtaining warehousing entities or main line can recover from congestion.
With reference to Fig. 6, in step S150, based on the network health degree model, the physics storehouse is monitored
Predefined parameter in distribution network model or virtual storehouse distribution network.
According to the predefined parameter in the network health degree model, monitor the physics storehouse distribution network model or
The value of the predefined parameter in each virtual storehouse distribution network.
With reference to Fig. 6, in step S160, the physics storehouse distribution network model or virtual storehouse distribution network are judged
In predefined parameter whether meet the corresponding threshold rule of predefined parameter in network health degree model.
Predetermined ginseng in the physics storehouse distribution network model obtained according to monitoring or each virtual storehouse distribution network
Number, and the index of the predefined parameter, judge respectively the physics storehouse distribution network model or each virtual storehouse
Whether the predefined parameter in distribution network meets corresponding threshold rule.For example, according to each warehousing entities
Safety stock, judges article sender in the physics storehouse distribution network model and each virtual storehouse distribution network
Special article each warehousing entities actual inventory whether less than the first predetermined hundred of safety stock
Divide ratio;According to the transport timeliness of each main line, judge that the physics storehouse distribution network model or each virtual storehouse are matched somebody with somebody
Whether the actual transport timeliness of each main line is more than the second predetermined percentage of the transport timeliness for arranging in network
Than.According to each warehousing entities or main line congestion thresholds, judge the physics storehouse distribution network model or
The Congestion Level SPCC of (for example, 1 hour) warehousing entities or dry in the scheduled time in each virtual storehouse distribution network
Whether the Congestion Level SPCC of line is more than the congestion threshold or the congestion threshold of main line of the warehousing entities for arranging.
With reference to Fig. 6, in step S170, the predefined parameter to meeting corresponding threshold rule, according to institute
State corresponding process logic when predefined parameter meets corresponding threshold rule and perform process.
For example, if meeting the threshold rule of safety stock, according to corresponding process logic to scheduling
Engine sends stock allotment request, to ask scheduling engine to carry out stock allotment operation as needed.If
Meet the threshold rule of transport timeliness, then pre-alert notification sent to operation system according to corresponding process logic,
So that operation system carries out respective handling.If meeting the congestion threshold or trunk congestion threshold value of warehousing entities
Threshold rule, then to scheduling engine send reduce scheduling frequency request, to ask scheduling engine to reduce
Scheduling frequency.
The embodiment of the present application arranges corresponding according to business need to the predefined parameter in different storehouse distribution networks
Index, threshold rule and meet the process logic that threshold rule is carried out, it is corresponding so as to be formed
Network health degree model, and by the operation feelings of monitor in real time predefined parameter Real-time Feedback storehouse distribution network
Condition, by threshold rule triggering corresponding process logic is performed, can be by the threshold variations of storehouse distribution network
Situation feeds back to operation system, so that operation system carries out respective handling.
Based on above-described embodiment, method 1 also includes step S180.
With reference to Fig. 7, in step S180, according to the physics storehouse distribution network model that obtains of monitoring or void
The value and the comparative result of corresponding index of each predefined parameter in plan storehouse distribution network, determines the physics storehouse
The network health degree of distribution network model or virtual storehouse distribution network.
In a kind of specific embodiment, by the physics storehouse distribution network model or the net of virtual storehouse distribution network
Network health degree is divided into good, general and poor Three Estate, then a kind of specific embodiment party of step 180
Formula is:
If each predefined parameter in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Corresponding index is entirely reached, then by the physics storehouse distribution network model or the net of the virtual storehouse distribution network
Network health degree is defined as well;
If each predetermined ginseng in the physics storehouse distribution network model or in any one each virtual storehouse distribution network
Count and do not entirely reach corresponding index, but reach the predefined parameter number of corresponding index and reach predetermined quantity,
Then the network health degree of the physics storehouse distribution network model or the virtual storehouse distribution network is defined as typically;
If reaching corresponding finger in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Target predefined parameter number is not up to predetermined quantity, then by the physics storehouse distribution network model or described virtual
The network health degree of storehouse distribution network is defined as poor.
Based on above-described embodiment, the method also includes:When the corresponding virtual storehouse distribution network of any one business
Network health degree for it is good when, accelerate the schedule speed of the business;When any one business it is corresponding
When the network health degree of virtual storehouse distribution network is poor, slow down the schedule speed of the business.
Based on the embodiment shown in Fig. 6 or Fig. 7, the method is further comprising the steps of:
When any one predefined parameter in the corresponding virtual storehouse distribution network of any one business meets corresponding
During threshold rule, judge that the predefined parameter meets corresponding process logical AND institute during corresponding threshold rule
Whether conflicting state the corresponding traffic scheduling strategy of business;If the predefined parameter meets corresponding facing
The corresponding traffic scheduling strategy of business described in corresponding process logical AND is conflicting during boundary's rule, it is determined that
Triggering performs the predefined parameter and meets corresponding process logic during corresponding threshold rule.
Specifically, can obtain in configuration system in advance for each business in the storehouse distribution network
The traffic scheduling strategy being respectively provided with.For example, festivals or holidays do not dispatch, daily 0:00~04:00 does not dispatch
Deng.
For example, for the default traffic scheduling strategy of a certain business is 16:00~18:In 00 time period not
Scheduling, but 16:00~18:During the corresponding virtual storehouse distribution network of the business is detected in 00 time period,
The quantity in stock in some warehouse meets corresponding threshold rule (for example, less than the safety stock for arranging
110%), it is determined that execution meets corresponding process logic during the threshold rule.For example, the corresponding place
Reason logic is to carry out stock allotment, then 16:00~18:Stock allotment is still carried out in 00 time period.
If the predefined parameter meets business pair described in corresponding process logical AND during corresponding threshold rule
The traffic scheduling strategy answered is not conflicting, then the performing the business according to the scheduling strategy of the task is adjusted
Degree.
According to embodiments herein, according to industry different in the health degree and storehouse distribution network of storehouse distribution network
Be engaged in corresponding different traffic scheduling strategy come control business task scheduling perform, so as to realize storehouse distribution
The efficiency of network and stable equilibrium.
Based on the inventive concept same with method, the application also provides a kind of managing device of storehouse distribution network.
Fig. 8 show the schematic diagram of managing device 3, the configuration device based on each business in the distribution network of storehouse not
Different configurations are carried out to storehouse distribution network under different business requirement with business need, the device includes:
Model signal generating unit 310, for being modeled according to the description information of logistic resources in the distribution network of storehouse,
Generate physics storehouse distribution network model;
First dispensing unit 320, for the business need point of each business in the storehouse distribution network
Not Wei the physics storehouse distribution network model configure the corresponding virtual storehouse distribution network of each business;
Second dispensing unit 330, for for each business in the storehouse distribution network, to each business
Corresponding virtual storehouse distribution network carries out parameter configuration.
Alternatively, first dispensing unit 320 is further used for:According to the business need of each business
In annexation between logistic resources related to business and/or allot the requirement of relation, from the physics
Connection and/or the logistic resources between corresponding logistic resources are removed in the distribution network model of storehouse, to obtain each
The corresponding virtual storehouse distribution network of business.
Alternatively, the logistic resources include warehousing entities and main line,
First dispensing unit 320 is further used for:
If the business need of business specifies to connect between specific warehousing entities, from the physics storehouse
The all main lines in the connection and the connection between specific warehousing entities are removed in distribution network model;
If the business need of business specifies to connect by particular trunk between specific warehousing entities,
The particular trunk in the connection between specific warehousing entities is removed from the physics storehouse distribution network model;
If the business need regulation of business can not be alloted directly to specific warehousing entities, from described
The specific warehousing entities, other warehousing entities and the specific warehousing entities are removed in the distribution network model of physics storehouse
Between connection and the upper all main lines of connection.
Alternatively, the parameter in the parameter configuration includes each main line in the connection between two warehousing entities
Also need to pull the freight volume of receipts in the special time cycle, second dispensing unit 330 is further used for:
Each main line in the connection is added into the connection in the freight volume that the special time cycle also needs to pull receipts
Upper each main line has pulled the freight volume of receipts in the special time cycle, so as to obtain each main line in the connection
In the freight volume summation in special time cycle;
To carry out according to each main line acknowledgement of consignment ratio between each main line of the freight volume summation in the connection
Distribution, so as to obtain each main line the freight volume of receipts should be each pulled in the special time cycle;
Each main line is deducted into each main line in special time week in the freight volume that the special time cycle should each pull receipts
Phase has pulled the freight volume of receipts, each also needs to pull the fortune of receipts in the special time cycle so as to obtain each main line
Throughput rate.
Alternatively, second dispensing unit 330 is additionally operable to:
After special time end cycle, determine that each main line in the connection was completed in the special time week
Phase pulls freight volume real time of receipts;
The freight volume for pulling receipts with each main line special time cycle is completed in the special time week divided by each main line
Phase pulls freight volume real time of receipts, obtains the conevying efficiency in special time cycle each main line;
Ratio between the conevying efficiency of special time cycle each main line is each as subsequent time period
Main line carries ratio.
With reference to Fig. 9, alternatively, the device 3 also includes:
Model acquiring unit 340, for for the physics storehouse distribution network model and each virtual storehouse distribution
Each in network, obtains corresponding network health degree model, and the network health degree model is used to monitor
Targeted physics storehouse distribution network model or the network health degree of virtual storehouse distribution network, wherein, the network
Health degree model includes predefined parameter correspondence in targeted physics storehouse distribution network model or virtual storehouse distribution network
Threshold rule and when the predefined parameter meets corresponding threshold rule corresponding process logic;
Monitoring unit 350, based on the network health degree model, monitors the physics storehouse distribution network model
Or the predefined parameter in the distribution network of virtual storehouse;
Judging unit 360, judges the physics storehouse distribution network model or the predetermined ginseng in virtual storehouse distribution network
Whether number meets the corresponding threshold rule of predefined parameter in network health degree model;
Processing unit 370, for the predefined parameter to meeting corresponding threshold rule, according to described predetermined
Parameter when meeting corresponding threshold rule it is corresponding process logic perform process.
Alternatively, the predefined parameter includes:In the physics storehouse distribution network model or virtual storehouse distribution network
Quantity in stock of the article of article sender in each warehousing entities, the physics storehouse distribution network model or void
Intend the actual transportation time and the physics storehouse distribution network model of each main line or virtual in the distribution network of storehouse
The Congestion Level SPCC of each warehousing entities and each main line in the distribution network of storehouse.
Alternatively, the corresponding threshold rule includes:
For quantity in stock, if the actual inventory of warehousing entities is less than the first predetermined hundred of safety stock
Ratio, triggering is divided to perform corresponding process logic;
For the haulage time of main line, if actual transportation time is pre- more than the second of the transport timeliness for arranging
Determine percentage, triggering performs corresponding process logic;
The Congestion Level SPCC of Congestion Level SPCC or main line for warehousing entities, if warehousing entities in the scheduled time
Congestion Level SPCC or main line Congestion Level SPCC more than arrange congestion threshold, triggering perform it is corresponding process patrol
Volume.
Alternatively, corresponding process logic includes when the predefined parameter meets corresponding threshold rule:
If meeting the threshold rule of safety stock, stock allotment request is sent to scheduling engine, with
Request scheduling engine carries out as needed stock allotment operation;
If meeting the threshold rule of transport timeliness, pre-alert notification is sent to operation system, so as to business
System carries out respective handling;
If the threshold rule of the congestion threshold of warehousing entities or the congestion threshold of main line is met, to scheduling
Engine sends the request for reducing scheduling frequency.
With reference to Figure 10, alternatively, based on above-described embodiment, the device 3 can also include:
Health degree determining unit 380, for according to the physics storehouse distribution network model that obtains of monitoring or void
The value and the comparative result of corresponding index of each predefined parameter in plan storehouse distribution network, determines the physics storehouse
The network health degree of distribution network model or virtual storehouse distribution network;
The health degree determining unit 380 is further used for:
If each predefined parameter in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Corresponding index is entirely reached, then by the physics storehouse distribution network model or the net of the virtual storehouse distribution network
Network health degree is defined as well;
If each predetermined ginseng in the physics storehouse distribution network model or in any one each virtual storehouse distribution network
Count and do not entirely reach corresponding index, but reach the predefined parameter number of corresponding index and reach predetermined quantity,
Then the network health degree of the physics storehouse distribution network model or the virtual storehouse distribution network is defined as typically;
If reaching corresponding finger in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Target predefined parameter number is not up to predetermined quantity, then by the physics storehouse distribution network model or described virtual
The network health degree of storehouse distribution network is defined as poor.
Alternatively, the device 3 can also include:
Schedule speed adjustment unit, for being good for when the network of the corresponding virtual storehouse distribution network of any one business
When Kang Du is good, accelerate the schedule speed of the business;When the corresponding virtual storehouse of any one business is matched somebody with somebody
When the network health degree of network is poor, slow down the schedule speed of the business.
Alternatively, the device 3 also includes:
Contradiction judging unit, for when any one in the corresponding virtual storehouse distribution network of any one business
When predefined parameter meets corresponding threshold rule, when judging that the predefined parameter meets corresponding threshold rule
Whether the corresponding traffic scheduling strategy of business described in corresponding process logical AND is conflicting;
Logic determining unit, if corresponding place when meeting corresponding threshold rule for the predefined parameter
The corresponding traffic scheduling strategy of business described in reason logical AND is conflicting, it is determined that triggering performs described predetermined
Parameter meets corresponding process logic during corresponding threshold rule.
It should be noted that the application can be carried out in the assembly of software and/or software with hardware,
For example, each device of the application can be using special IC (ASIC) or any other is similar hard
Part equipment is realizing.In one embodiment, the software program of the application can pass through computing device
To realize steps described above or function.Similarly, the software program of the application is (including related number
According to structure) can be stored in computer readable recording medium storing program for performing, for example, and RAM memory, magnetic
Or CD-ROM driver or floppy disc and similar devices.In addition, some steps or function of the application can be adopted
Hardware realizing, for example, as coordinating so as to perform the circuit of each step or function with processor.
It is obvious to a person skilled in the art that the application is not limited to the thin of above-mentioned one exemplary embodiment
Section, and in the case of without departing substantially from spirit herein or essential characteristic, can be with other concrete
Form realizes the application.Therefore, no matter from the point of view of which point, embodiment all should be regarded as exemplary
, and be nonrestrictive, scope of the present application is by claims rather than described above is limited
It is fixed, it is intended that all changes in the implication and scope of the equivalency of claim that will fall are included
In the application.Any reference in claim should not be considered as into the right involved by limiting will
Ask.Furthermore, it is to be understood that " an including " word is not excluded for other units or step, odd number is not excluded for plural number.System
The multiple units stated in system claim or device can also pass through software by a unit or device
Or hardware is realizing.The first, the second grade word is used for representing title, and is not offered as any specific
Order.
Although above specifically shown and describe exemplary embodiment, those skilled in the art will
Will be appreciated that, in the case of the spirit and scope without departing substantially from claims, in its form and carefully
Section aspect can be varied from.
Claims (24)
1. a kind of collocation method of storehouse distribution network, the collocation method is based on each business in the distribution network of storehouse
Different business requires to carry out different configurations to storehouse distribution network in the case where different business is required, it is characterised in that
The method is comprised the following steps:
It is modeled according to the description information of logistic resources in the distribution network of storehouse, so as to generate physics storehouse distribution network
Model;
The business need of each business in the storehouse distribution network is respectively the physics storehouse distribution network mould
Type configures the corresponding virtual storehouse distribution network of each business;
For each business in the storehouse distribution network, virtual storehouse distribution network corresponding to each business is carried out
Parameter configuration.
2. method according to claim 1, it is characterised in that each in the storehouse distribution network
The business need of individual business is respectively the physics storehouse distribution network model and configures the corresponding virtual storehouse of each business
The step of distribution network, includes:
According to the annexation between logistic resources related to business in the business need of each business and/
Or the requirement of relation is alloted, remove between corresponding logistic resources from the physics storehouse distribution network model
Connection and/or logistic resources, to obtain the corresponding virtual storehouse distribution network of each business.
3. method according to claim 2, it is characterised in that the logistic resources include that storage is real
Body and main line,
Annexation in the business need according to each business between the logistic resources related to business
And/or the requirement of relation is alloted, remove between corresponding logistic resources from the physics storehouse distribution network model
Connection and/or include following at least one the step of logistic resources:
If the business need of business specifies to connect between specific warehousing entities, from the physics storehouse
The all main lines in the connection and the connection between specific warehousing entities are removed in distribution network model;
If the business need of business specifies to connect by particular trunk between specific warehousing entities,
The particular trunk in the connection between specific warehousing entities is removed from the physics storehouse distribution network model;
If the business need regulation of business can not be alloted directly to specific warehousing entities, from described
The specific warehousing entities, other warehousing entities and the specific warehousing entities are removed in the distribution network model of physics storehouse
Between connection and the upper all main lines of connection.
4. method according to claim 1, it is characterised in that the parameter bag in the parameter configuration
Include each main line in the connection between two warehousing entities to also need to pull the freight volume of receipts in the special time cycle,
Described each business in the storehouse distribution network, virtual storehouse distribution network corresponding to each business is carried out
The step of parameter configuration, includes:
Each main line in the connection is added into the connection in the freight volume that the special time cycle also needs to pull receipts
Upper each main line has pulled the freight volume of receipts in the special time cycle, so as to obtain each main line in the connection
In the freight volume summation in special time cycle;
To carry out according to each main line acknowledgement of consignment ratio between each main line of the freight volume summation in the connection
Distribution, so as to obtain each main line the freight volume of receipts should be each pulled in the special time cycle;
Each main line is deducted into each main line in special time week in the freight volume that the special time cycle should each pull receipts
Phase has pulled the freight volume of receipts, each also needs to pull the fortune of receipts in the special time cycle so as to obtain each main line
Throughput rate.
5. method according to claim 4, it is characterised in that described in the storehouse distribution network
Each business, also include the step of virtual storehouse distribution network corresponding to each business carries out parameter configuration:
After special time end cycle, determine that each main line in the connection was completed in the special time week
Phase pulls freight volume real time of receipts;
The freight volume for pulling receipts with each main line special time cycle is completed in the special time week divided by each main line
Phase pulls freight volume real time of receipts, obtains the conevying efficiency in special time cycle each main line;
Ratio between the conevying efficiency of special time cycle each main line is each as subsequent time period
Main line carries ratio.
6. method according to claim 1, it is characterised in that also include:
For each in the physics storehouse distribution network model and each virtual storehouse distribution network, correspondence is obtained
Network health degree model, the network health degree model be used for monitor targeted physics storehouse distribution network mould
The network health degree of type or virtual storehouse distribution network, wherein, the network health degree model includes targeted
The corresponding threshold rule of predefined parameter and when described pre- in physics storehouse distribution network model or virtual storehouse distribution network
Determine parameter and meet corresponding process logic during corresponding threshold rule;
Based on the network health degree model, the physics storehouse distribution network model or virtual storehouse distribution network are monitored
In predefined parameter;
Judge whether the physics storehouse distribution network model or the predefined parameter in virtual storehouse distribution network meet network
The corresponding threshold rule of predefined parameter in health degree model;
Predefined parameter to meeting corresponding threshold rule, meets corresponding critical according to the predefined parameter
Corresponding process logic performs process when regular.
7. method according to claim 6, it is characterised in that the predefined parameter includes:It is described
The article of article sender is in each warehousing entities in physics storehouse distribution network model or virtual storehouse distribution network
The actual transportation time of each main line in quantity in stock, the physics storehouse distribution network model or virtual storehouse distribution network,
And each warehousing entities and each main line are gathered around in the physics storehouse distribution network model or virtual storehouse distribution network
Plug degree.
8. method according to claim 7, it is characterised in that the corresponding threshold rule includes:
For quantity in stock, if the actual inventory of warehousing entities is less than the first predetermined hundred of safety stock
Ratio, triggering is divided to perform corresponding process logic;
For the haulage time of main line, if actual transportation time is pre- more than the second of the transport timeliness for arranging
Determine percentage, triggering performs corresponding process logic;
The Congestion Level SPCC of Congestion Level SPCC or main line for warehousing entities, if warehousing entities in the scheduled time
Congestion Level SPCC or main line Congestion Level SPCC more than arrange congestion threshold, triggering perform it is corresponding process patrol
Volume.
9. method according to claim 7, it is characterised in that the predefined parameter meets corresponding
Corresponding process logic includes during threshold rule:
If meeting the threshold rule of safety stock, stock allotment request is sent to scheduling engine, with
Request scheduling engine carries out as needed stock allotment operation;
If meeting the threshold rule of transport timeliness, pre-alert notification is sent to operation system, so as to business
System carries out respective handling;
If the threshold rule of the congestion threshold of warehousing entities or the congestion threshold of main line is met, to scheduling
Engine sends the request for reducing scheduling frequency.
10. method according to claim 6, it is characterised in that also include:Obtained according to monitoring
The physics storehouse distribution network model or virtual storehouse distribution network in each predefined parameter value and corresponding index
Comparative result, determine the step of the network health degree of the physics storehouse distribution network model or virtual storehouse distribution network
Suddenly, the step includes:
If each predefined parameter in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Corresponding index is entirely reached, then by the physics storehouse distribution network model or the net of the virtual storehouse distribution network
Network health degree is defined as well;
If each predetermined ginseng in the physics storehouse distribution network model or in any one each virtual storehouse distribution network
Count and do not entirely reach corresponding index, but reach the predefined parameter number of corresponding index and reach predetermined quantity,
Then the network health degree of the physics storehouse distribution network model or the virtual storehouse distribution network is defined as typically;
If reaching corresponding finger in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Target predefined parameter number is not up to predetermined quantity, then by the physics storehouse distribution network model or described virtual
The network health degree of storehouse distribution network is defined as poor.
11. methods according to claim 10, it is characterised in that also include:
When the network health degree of the corresponding virtual storehouse distribution network of any one business is good, accelerate described
The schedule speed of business;
When the network health degree of the corresponding virtual storehouse distribution network of any one business is poor, slow down described
The schedule speed of business.
12. methods according to claim 6, it is characterised in that also include:
When any one predefined parameter in the corresponding virtual storehouse distribution network of any one business meets corresponding
During threshold rule, judge that the predefined parameter meets corresponding process logical AND institute during corresponding threshold rule
Whether conflicting state the corresponding traffic scheduling strategy of business;
If the predefined parameter meets business pair described in corresponding process logical AND during corresponding threshold rule
The traffic scheduling strategy answered is conflicting, it is determined that triggering performs the predefined parameter and meets corresponding critical
Corresponding process logic when regular.
A kind of 13. managing devices of storehouse distribution network, the configuration device is based on each business in the distribution network of storehouse
Different business require different business require under different configurations are carried out to storehouse distribution network, it is characterised in that
The device includes:
Model signal generating unit, for being modeled according to the description information of logistic resources in the distribution network of storehouse, from
And generate physics storehouse distribution network model;
First dispensing unit, the business need for each business in the storehouse distribution network is respectively
The physics storehouse distribution network model configures the corresponding virtual storehouse distribution network of each business;
Second dispensing unit, for for each business in the storehouse distribution network, to each business correspondence
Virtual storehouse distribution network carry out parameter configuration.
14. devices according to claim 13, it is characterised in that first dispensing unit enters one
Walking is used for:
According to the annexation between logistic resources related to business in the business need of each business and/
Or the requirement of relation is alloted, remove between corresponding logistic resources from the physics storehouse distribution network model
Connection and/or logistic resources, to obtain the corresponding virtual storehouse distribution network of each business.
15. devices according to claim 14, it is characterised in that the logistic resources include storage
Entity and main line,
First dispensing unit is further used for:
If the business need of business specifies to connect between specific warehousing entities, from the physics storehouse
The all main lines in the connection and the connection between specific warehousing entities are removed in distribution network model;
If the business need of business specifies to connect by particular trunk between specific warehousing entities,
The particular trunk in the connection between specific warehousing entities is removed from the physics storehouse distribution network model;
If the business need regulation of business can not be alloted directly to specific warehousing entities, from described
The specific warehousing entities, other warehousing entities and the specific warehousing entities are removed in the distribution network model of physics storehouse
Between connection and the upper all main lines of connection.
16. devices according to claim 13, it is characterised in that the parameter in the parameter configuration
Also need to pull the transport of receipts in the special time cycle including each main line in the connection between two warehousing entities
Amount, second dispensing unit is further used for:
Each main line in the connection is added into the connection in the freight volume that the special time cycle also needs to pull receipts
Upper each main line has pulled the freight volume of receipts in the special time cycle, so as to obtain each main line in the connection
In the freight volume summation in special time cycle;
To carry out according to each main line acknowledgement of consignment ratio between each main line of the freight volume summation in the connection
Distribution, so as to obtain each main line the freight volume of receipts should be each pulled in the special time cycle;
Each main line is deducted into each main line in special time week in the freight volume that the special time cycle should each pull receipts
Phase has pulled the freight volume of receipts, each also needs to pull the fortune of receipts in the special time cycle so as to obtain each main line
Throughput rate.
17. devices according to claim 16, it is characterised in that second dispensing unit is also used
In:
After special time end cycle, determine that each main line in the connection was completed in the special time week
Phase pulls freight volume real time of receipts;
The freight volume for pulling receipts with each main line special time cycle is completed in the special time week divided by each main line
Phase pulls freight volume real time of receipts, obtains the conevying efficiency in special time cycle each main line;
Ratio between the conevying efficiency of special time cycle each main line is each as subsequent time period
Main line carries ratio.
18. devices according to claim 13, it is characterised in that also include:
Model acquiring unit, for in the physics storehouse distribution network model and each virtual storehouse distribution network
Each, obtain corresponding network health degree model, the network health degree model is used to monitor institute's pin
To physics storehouse distribution network model or virtual storehouse distribution network network health degree, wherein, the network health
Degree model faces including predefined parameter is corresponding in targeted physics storehouse distribution network model or virtual storehouse distribution network
Boundary rule and when the predefined parameter meets corresponding threshold rule corresponding process logic;
Monitoring unit, based on the network health degree model, monitors the physics storehouse distribution network model or void
Intend the predefined parameter in the distribution network of storehouse;
Judging unit, judges that the physics storehouse distribution network model or the predefined parameter in virtual storehouse distribution network are
It is no to meet the corresponding threshold rule of predefined parameter in network health degree model;
Processing unit, for the predefined parameter to meeting corresponding threshold rule, according to the predefined parameter
Corresponding process logic performs process when meeting corresponding threshold rule.
19. devices according to claim 18, it is characterised in that the predefined parameter includes:Institute
The article of article sender in physics storehouse distribution network model or virtual storehouse distribution network is stated in each warehousing entities
Quantity in stock, the physics storehouse distribution network model or virtual storehouse distribution network in each main line actual shipment when
Between and the physics storehouse distribution network model or virtual storehouse distribution network in each warehousing entities and each main line
Congestion Level SPCC.
20. devices according to claim 19, it is characterised in that the corresponding threshold rule bag
Include:
For quantity in stock, if the actual inventory of warehousing entities is less than the first predetermined hundred of safety stock
Ratio, triggering is divided to perform corresponding process logic;
For the haulage time of main line, if actual transportation time is pre- more than the second of the transport timeliness for arranging
Determine percentage, triggering performs corresponding process logic;
The Congestion Level SPCC of Congestion Level SPCC or main line for warehousing entities, if warehousing entities in the scheduled time
Congestion Level SPCC or main line Congestion Level SPCC more than arrange congestion threshold, triggering perform it is corresponding process patrol
Volume.
21. devices according to claim 19, it is characterised in that the predefined parameter meets correspondence
Threshold rule when it is corresponding process logic include:
If meeting the threshold rule of safety stock, stock allotment request is sent to scheduling engine, with
Request scheduling engine carries out as needed stock allotment operation;
If meeting the threshold rule of transport timeliness, pre-alert notification is sent to operation system, so as to business
System carries out respective handling;
If the threshold rule of the congestion threshold of warehousing entities or the congestion threshold of main line is met, to scheduling
Engine sends the request for reducing scheduling frequency.
22. devices according to claim 18, it is characterised in that also include:
Health degree determining unit, for according to the physics storehouse distribution network model that obtains of monitoring or virtual storehouse
The value of each predefined parameter in distribution network and the comparative result of corresponding index, determine physics storehouse distribution
The network health degree of network model or virtual storehouse distribution network;
The health degree determining unit is further used for:
If each predefined parameter in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Corresponding index is entirely reached, then by the physics storehouse distribution network model or the net of the virtual storehouse distribution network
Network health degree is defined as well;
If each predetermined ginseng in the physics storehouse distribution network model or in any one each virtual storehouse distribution network
Count and do not entirely reach corresponding index, but reach the predefined parameter number of corresponding index and reach predetermined quantity,
Then the network health degree of the physics storehouse distribution network model or the virtual storehouse distribution network is defined as typically;
If reaching corresponding finger in the physics storehouse distribution network model or in any one virtual storehouse distribution network
Target predefined parameter number is not up to predetermined quantity, then by the physics storehouse distribution network model or described virtual
The network health degree of storehouse distribution network is defined as poor.
23. devices according to claim 22, it is characterised in that also include:
Schedule speed adjustment unit, for being good for when the network of the corresponding virtual storehouse distribution network of any one business
When Kang Du is good, accelerate the schedule speed of the business;When the corresponding virtual storehouse of any one business is matched somebody with somebody
When the network health degree of network is poor, slow down the schedule speed of the business.
24. devices according to claim 18, it is characterised in that also include:
Contradiction judging unit, for when any one in the corresponding virtual storehouse distribution network of any one business
When predefined parameter meets corresponding threshold rule, when judging that the predefined parameter meets corresponding threshold rule
Whether the corresponding traffic scheduling strategy of business described in corresponding process logical AND is conflicting;
Logic determining unit, if corresponding place when meeting corresponding threshold rule for the predefined parameter
The corresponding traffic scheduling strategy of business described in reason logical AND is conflicting, it is determined that triggering performs described predetermined
Parameter meets corresponding process logic during corresponding threshold rule.
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Publication number | Priority date | Publication date | Assignee | Title |
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CN113259144A (en) * | 2020-02-07 | 2021-08-13 | 北京京东振世信息技术有限公司 | Storage network planning method and device |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101840540A (en) * | 2010-04-16 | 2010-09-22 | 余阳 | Dynamic routing binding device for logistics service and service combined execution method |
WO2015062344A1 (en) * | 2013-10-31 | 2015-05-07 | 深圳市华傲数据技术有限公司 | Cloud platform-based intelligent logistics goods delivery method and system |
CN104915812A (en) * | 2014-03-13 | 2015-09-16 | 阿里巴巴集团控股有限公司 | Warehouse delivery routing method and device for service processing process |
-
2015
- 2015-11-05 CN CN201510745032.9A patent/CN106683028A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101840540A (en) * | 2010-04-16 | 2010-09-22 | 余阳 | Dynamic routing binding device for logistics service and service combined execution method |
WO2015062344A1 (en) * | 2013-10-31 | 2015-05-07 | 深圳市华傲数据技术有限公司 | Cloud platform-based intelligent logistics goods delivery method and system |
CN104915812A (en) * | 2014-03-13 | 2015-09-16 | 阿里巴巴集团控股有限公司 | Warehouse delivery routing method and device for service processing process |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113259144A (en) * | 2020-02-07 | 2021-08-13 | 北京京东振世信息技术有限公司 | Storage network planning method and device |
CN113259144B (en) * | 2020-02-07 | 2024-05-24 | 北京京东振世信息技术有限公司 | Warehouse network planning method and device |
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