CN109800991A - A kind of supply chain trade finance risk evaluating system based on three stream unification models - Google Patents
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Abstract
The present invention relates to a kind of supply chain trade finance risk evaluating systems based on three stream unification models, quantitative analysis and air control that cash flow, logistics, the stream of information flow three are unified are realized under block chain background, including memory module, three flow models construct module, model manipulation module, application module is extracted activity and activity association by memory module from block chain data, submits to three streams unification model construction module；And from sequence, selection, the concurrency relation in source data between reading activity and activity, reappear complete trade out, it include the operation of series of standards in model manipulation module, realize access and the attribute selection of the descriptive model constructed to memory module, operating result transfers application module to, on the basis of three stream unification model projections to trade during the assets conservation of enterprise carry out quantitative analysis, carry out the assessment of supply-chain Structure risk and business risk.
Description
Technical field
The present invention relates to supply chain finance and information technology field, specifically a kind of supply chain based on three stream unification models
Trade finance risk evaluating system.
Background technique
Financing there are inner edge financing accounting it is excessive, the problem of direct financing channel condition harshness.Business bank
Loan is mainly directed towards large enterprise, and the SME Bank for being difficult to assess to credit status is then reluctant to lend, fears loan.Debtor and creditor information
Asymmetry, the financial affairs of the middle and little enterprise manage the factors such as financial information lack of standardization is unreliable cause jointly medium-sized and small enterprises financing it is tired
Border.Supply chain finance enables the relevant enterprise in supply chain to be integrated into credit as a whole, opens up new benefit for bank
Moisten source, reduce the finance costs of medium-sized and small enterprises, so that bank, medium-sized and small enterprises, loglstics enterprise reach all-win.But joining
With side during complicated real trade, cash flow, logistics, the dynamic change of information flow and interaction are difficult to be captured, and final
Applied in supply chain credit.Existing risk evaluation system is due to the delay in delivery that is difficult in control supply chain actively or passively
The risk that the dynamic such as (i.e. history delivers wish or Schedule schema), assets honeysuckle generates is often relied on stronger core enterprise's letter
With guarantee, height is spent in concentration of risk, and extension difficulty is big when inter-trade crosswise development, while it is big to adapt to generally existing shortage
The trade process of type enterprise.How from block chain extracted valid data load, merged in cash flow, logistics, flow information
On the basis of, assess supply-chain Structure risk, improve Supply chain financing rate the problem of it is urgently to be resolved.
Patent document CN108053321 A attempts the side being mutually authenticated by the information provided in financing platform each side
Formula provides collateral security authenticity verification, financial institution is enable to verify trading activity, real to optimize in a manner of transaction data reference
Existing SC risk control.The device is that three kinds of confirmation requests are arranged in financial institution users end, and this mode makes financial institution exist
Financing behavior can verify the authenticity of trading activity before occurring, realize SC risk control, promote Supply chain financing rate.
But the system is not still able to satisfy Financing demand, disadvantage is mainly reflected in (1) and relies on core enterprise
Credit underwriting, risk still concentrates in core enterprise；(2) it can not be carried out for the risk dynamically generated in supply chain example
Assessment and control；(3) supply-chain Structure can not be assessed according to historical trading data.
Summary of the invention
The present invention can not capture the status of dynamic risk and supply-chain Structure risk for the prior art, use active section
Point storage from block chain collected cash flow, logistics, message stream data, and by activity association table reappear trade during
Thus movable relationship generates descriptive model, and screened, extracted to the attribute of descriptive model interior joint, and risk is applied to
In analysis and quantum chemical method, the mode of SC risk assessment is extended, improves Supply chain financing efficiency, it especially can be
SC risk evaluation measures are provided in the case where lacking large enterprise's credit underwriting
A kind of multi-parameter dynamic evaluation control, assessment models are provided the invention aims to overcome the deficiencies in the prior art
And make full use of the supply chain trade finance risk evaluating system based on three stream unification models of history and real-time stream.
In order to achieve the above objectives, present invention employs following technical solutions.
A kind of supply chain trade finance risk evaluating system based on three stream unification models, including memory module, model structure
It models block, model manipulation module, application module and three stream unification models, the memory module and acquires data simultaneously from block chain
In conjunction with the static data of input, the activity in the three stream unification model and activity association are filled, and prepares subsequent three stream
Unify the foundation of model；The model construction module from the memory module between reading activity and activity sequence, choosing
Select, concurrency relation data, reappear out completely reaction trade process flowchart illustrative model, while fill fair value change,
The assets profit and loss data such as cargo loss, obtain the flowchart illustrative of trade process；The model manipulation module is provided by memory access device
The operation of model access and attribute access, and operating result is applied in the application module；The application module is by risk
Assessment unit, view converting unit and quantitative analysis unit collectively constitute, and the risk assessment unit includes supply-chain Structure wind
Dangerous analytical unit and business risk analytical unit, the quantitative analysis unit include assets projection structural unit and assets conservation core
Calculate unit；The asset views that the three stream unification model is generated jointly by view converting unit and descriptive model, pass through simultaneously
Quantitative analysis unit carries out the accounting of enterprise assets conservation on each timing node of trade process, will calculate result and violation
The node of conservation transfers risk assessment unit to, then obtains corresponding supply-chain Structure scoring；The risk assessment unit is simultaneously
Also data are extracted in the screening washer the selection result directly by the setting of the model manipulation module, carry out supply-chain Structure risk
With the analysis of business risk.
The memory module includes data acquisition and data pre-processing unit, and data packet is extracted in acquisition from block chain, and
Be filled into be expressed as activity and activity association data in, specific data be include forerunner's activity, rear-guard activity, related information,
The five-tuple module data of correlation rule and association address is filled into the storage model in combination with static data.
The model construction module generates the activity-centric three stream unification model to describe, while filling trade
The assets profit and loss such as the tax generated during the variation of assets fair value, trade in the phase and operating cost, generates final description
Model.
The model manipulation module is between the model construction module and application module, for the descriptive model
Public fundamental operation is carried out, including the reading to data in the descriptive model and to the extraction of activity attributes, finally will
Basic calculating result submits to the application module.
The three stream unification model captures cash flow, information flow, logistics information by filling activity, total with activity association
With the descriptive model of construction trade process, and it is combined the view conversion module projection and generates participant view and assets view
Figure.
The activity includes logistics generic attribute, information generic attribute, financial generic attribute and management class attribute, the logistics class
Attribute specifically includes logistics company, logistics information, delivery availability, delivery time, logistics class resource, contract class resource, bill of lading
And status tracking；The information generic attribute specifically includes participant resource, inputs resource, exports resource；The finance generic attribute
Including financing type, bank, financing participant, credit attribute, Mortgage assets information, financial instruments, contract class resource, fund,
It finances period, financing rate, executive condition, dynamic risk, static risk, core enterprise's risk, financing enterprise risk, external rings
Border risk；The management class attribute includes activity description, the time started, the end time, the time limit, place of performance, current state, goes through
History state and external data.
The mode that is converted into of the descriptive model to the asset views is used to each active section during trade
Point calculates asset transition amount △ X=(V1, V2, V3, V4)；Wherein V1, V2, V3, V4 respectively correspond the variation of fund, equity, material object
Amount and cost value, when the big node of △ X numerical value shows that occurrence risk destructive power is larger；The descriptive model is to the participant
View is converted into, by reading and screening the completion of the participant attribute data in activity attributes.
Quantitative analysis unit utilizes and has constructed trade process in asset views, and realizes entire trade process on this basis
The accounting of middle enterprise assets conservation, specific calculation process are by trade participant asset transition amount △ single on trade activity node
X is characterized as (V1, V2, V3, V4), in which: V1 represents fund variable quantity, and V2 represents equity variable quantity, and V3 represents physical assets change
Change amount, V4 represent current active node expense, on each of trade process node, then in V1+V2+V3+V4=0
Represent present node assets conservation；Present node being represented in the Shi Ze of V1+V2+V3+V4 ≠ 0, non-conservation occurring, current operation is height
Risk operations.
V1 is the subtraction value for exporting resource fund attribute value and inputting resource fund attribute value.
Solution to V2 extracts the contract class Resource Properties for including in trade procedure activation node, is transformed into fund dimension
Degree, and difference is sought between output, input resource.Specifically, it can be generated in accounting dispatch list, particular paper, stock voucher three classes
When the contract of assets transfer:
1) output resource contains dispatch list, if object is seller, V2 is positive value；If object is purchaser, V2 is negative value；
2) input resource contains particular paper, if object is seller, V2 is negative value；If object is purchaser, V2 is positive value；
3) output resource contains particular paper, if object is seller, V2 is positive value；If object is purchaser, V2 is negative value；
4) input resource contains in stock voucher, and V2 is negative value；
5) output resource contains in stock voucher, and V2 is positive value.
When seeking V3, the material association attributes (commodity or material of shipping and receiving for including in trade procedure activation node are extracted
In conjunction with material, specification and the market price), it is transformed into fund dimension.For material, V3=α * (β 0+ β), i.e. total price=quantity *
(base price+floating price).
V4 then mainly includes the assets profits and losses such as fair value changes, cargo is lost.
Progress that risk assessment unit obtains contract participant quantity in flowage structure, cargo transport state, contract are honoured an agreement,
Financed amount and total trade volume, order fulfil situation, order splits complexity, collateral security cashability, collateral security delivery accuracy rate
Etc. risks item quantized result, party information, the logistics company information of combining movement node loads obtain quantized result, to confession
Chain structure risk is answered to be assessed.Risk assessment unit receives the active node in quantization analytical unit result to the inclined of conservative value
Shifting degree is input, and amendment quantization marking, specific makeover process is correction value △ R=μ △ X, in which: μ is non-conservation offset
Weight, μ value is larger, represents Evaluation: Current system and focuses on to consider the risk of assets non-conservation, and specific μ value is selected need to be in conjunction with working as
Preceding supply chain historical data.
Due to the application of the above technical scheme, technical solution of the present invention bring advantageous effects: the present invention is whole
Cash flow, logistics, message stream data are merged in a trade flow, multidimensional can be realized on each node of trade process by reaching
The enterprise assets of degree are calculated, and realize SC risk control；The risk dynamically generated in supply chain can be assessed simultaneously, such as
Assets honeysuckle, Schedule schema extend SC risk evaluation measures, provide awarding independent of core enterprise's credit underwriting
Letter mode；The present invention is from block chain extracted valid data load, on the basis of cash flow, logistics, flow information fusion,
Assets conservation is controlled during entire trade；The risk that the present invention can dynamically generate in control supply chain, but independent of compared with
Strong core enterprise's credit underwriting, then each participant static risk in assessment supply-chain Structure, supply chain, risk set moderate drop
It is low, reduce extension difficulty when inter-trade crosswise development, can adapt to the trade process of generally existing shortage large enterprise, mention
High Supply chain financing rate.
Detailed description of the invention
Attached drawing 1 is system overall flow structural schematic diagram of the invention.
Attached drawing 2 is part of module detailed relation schematic diagram of the invention.
In figure: 1. memory modules；2. model construction module；3. model manipulation module；4. application module；5. three stream unification moulds
Type；6. block chain；7. static data；8. model accesses；9. attribute access；10. risk assessment unit；11. view converting unit；
12. quantitative analysis unit；13. supply-chain Structure risk analysis unit；14. business risk analytical unit；15. activity；16. activity
Association；17. descriptive model；18. participant view；19. asset views；20. assets project structural unit；21. assets conservation core
Calculate unit；22. memory access device；23. screening washer.
Specific embodiment
Below with reference to reaction route and specific embodiment, the present invention is described in further detail.
As shown in Figs. 1-2, a kind of supply chain trade finance risk evaluating system based on three stream unification models, including storage
Module 1, model construction module 2, model manipulation module 3, application module 4 and three stream unification models 5, the memory module 1 from
Data are acquired in block chain 6 and combine the static data 7 of input, fill the activity 15 and activity in the three stream unification model 5
Association 16, and prepare the foundation of the subsequent three stream unification model 5；The model construction module 2 is read from the memory module 1
Take activity and activity between sequence, selection, concurrency relation data, reappear out completely reaction trade process flowchart illustrative
Model, while the assets profit and loss data such as fair value changes, cargo is lost are filled, obtain the flowchart illustrative of trade process；It is described
Model manipulation module 3 provides model access 8 and the operation of attribute access 9 by memory access device 22, and operating result is applied to institute
It states in application module 4；The application module 4 is total to by risk assessment unit 10, view converting unit 11 and quantitative analysis unit 12
With composition, the risk assessment unit 10 includes supply-chain Structure risk analysis unit 13 and business risk analytical unit 14, institute
Stating quantitative analysis unit 12 includes assets projection structural unit 20 and assets conservation Accounting unit 21；The three stream unification model 5
The asset views 19 generated jointly by view converting unit 11 and descriptive model 17, while by quantization analytical unit 12 in trade
The node for calculating result and violation conservation is transferred in the accounting that enterprise assets conservation is carried out on each timing node of easy process to
Then risk assessment unit 10 obtains corresponding supply-chain Structure scoring；The risk assessment unit 10 also directly passes through institute simultaneously
It states and extracts data in 23 the selection result of screening washer of the setting of model manipulation module 3, carry out supply-chain Structure risk and enterprise's wind
The analysis of danger.
The memory module 1 includes data acquisition 24 and data pre-processing unit 25, and data are extracted in acquisition from block chain 6
Packet, and be filled into be expressed as activity 15 and activity association 16 data in, specific data be include forerunner activity, rear-guard activity,
The five-tuple module data of related information, correlation rule and association address is filled into the storage in combination with static data 7
In model 1.
The model construction module 2 generates the activity-centric three stream unification model 5 to describe, while filling trade
The assets profit and loss such as the tax generated during the variation of assets fair value, trade in the easy phase and operating cost, generates final retouch
State model 17.
The model manipulation module 3 is between the model construction module 2 and application module 4, for the description
Model 17 carries out public fundamental operation, including the reading to data in the descriptive model 17 and to the pumping of activity attributes
It takes, basic calculating result is finally submitted into the application module 4.
The three stream unification model 5 captures cash flow, information flow, logistics information by filling activity, with activity association
The descriptive model 17 of 16 jointly constructs trade processes, and be combined the projection of view conversion module 11 and generate participant view
18 and asset views 19.
Described movable 15 include logistics generic attribute, information generic attribute, financial generic attribute and management class attribute, the logistics
Generic attribute specifically includes logistics company, logistics information, delivery availability, delivery time, logistics class resource, contract class resource, cargo transport
List and status tracking；The information generic attribute specifically includes participant resource, inputs resource, exports resource；The finance generic
Property include financing type, bank, financing participant, credit attribute, Mortgage assets information, financial instruments, contract class resource, money
It is gold, the financing period, financing rate, executive condition, dynamic risk, static risk, core enterprise's risk, financing enterprise risk, outer
Portion's environmental risk；The management class attribute includes activity description, time started, end time, time limit, place of performance, current shape
State, historic state and external data.
The mode that is converted into of the descriptive model 17 to the asset views 19 is used to each work during trade
Dynamic node calculates asset transition amount △ X=(V1, V2, V3, V4)；Wherein V1, V2, V3, V4 respectively correspond fund, equity, material object
Variable quantity and cost value, when the big node of △ X numerical value shows that occurrence risk destructive power is larger；The descriptive model 17 is described in
Participant view 18 is converted into, by reading and screening the completion of the participant attribute data in activity attributes.
Quantitative analysis unit 12 utilizes and has constructed trade process in asset views 19, and realizes entire trade on this basis
The accounting of enterprise assets conservation in the process, specific calculation process are by trade participant asset transition single on trade activity node
Amount △ X is characterized as (V1, V2, V3, V4), in which: V1 represents fund variable quantity, and V2 represents equity variable quantity, and V3 represents money in kind
Variable quantity is produced, V4 represents current active node expense, on each of trade process node, in V1+V2+V3+V4=0
Shi Ze represents present node assets conservation；Present node is represented in the Shi Ze of V1+V2+V3+V4 ≠ 0, and non-conservation, current operation occurs
For high risk operation.
V1 is the subtraction value for exporting resource fund attribute value and inputting resource fund attribute value.
Solution to V2 extracts the contract class Resource Properties for including in trade procedure activation node, is transformed into fund dimension
Degree, and difference is sought between output, input resource.Specifically, it can be generated in accounting dispatch list, particular paper, stock voucher three classes
When the contract of assets transfer:
1) output resource contains dispatch list, if object is seller, V2 is positive value；If object is purchaser, V2 is negative value；
2) input resource contains particular paper, if object is seller, V2 is negative value；If object is purchaser, V2 is positive value；
3) output resource contains particular paper, if object is seller, V2 is positive value；If object is purchaser, V2 is negative value；
4) input resource contains in stock voucher, and V2 is negative value；
5) output resource contains in stock voucher, and V2 is positive value.
When seeking V3, the material association attributes (commodity or material of shipping and receiving for including in trade procedure activation node are extracted
In conjunction with material, specification and the market price), it is transformed into fund dimension.For material, V3=α * (β 0+ β), i.e. total price=quantity *
(base price+floating price).
V4 then mainly includes the assets profits and losses such as fair value changes, cargo is lost.
Risk assessment unit 10 obtains contract participant quantity in flowage structure, cargo transport state, contract are honoured an agreement into
Degree, financed amount and total trade volume, order fulfil situation, order fractionation complexity, collateral security cashability, collateral security delivery accurately
The quantized result of the risks item such as rate, party information, the logistics company information of combining movement node loads obtain quantized result, right
Supply-chain Structure risk is assessed.Risk assessment unit 10 receives the active node in quantization analytical unit result to conservative value
Drift rate be input, amendment quantization marking, specific makeover process be correction value △ R=μ △ X, in which: μ be non-conservation it is inclined
The weight of shifting amount, μ value is larger, represents Evaluation: Current system and focuses on to consider the risk of assets non-conservation, specific μ value is selected to be needed to tie
Close current supply chain historical data.
The risk assessment unit, which can be realized, melts the difference including financing by accounts receivable, advance money financing, inventory financing
Capital's formula has a different reactions, and different financing methods are related to some general risk items, for example contract is honoured an agreement Schedule schema, assets
Indirect honeysuckle risk；In addition, the collateral security cashability risk involved in inventory financing；In advance money financing then more
Concern concern enterprise buys back ability risk.
There is reference pass between logistics generic attribute and information generic attribute, between the financial generic attribute and information generic attribute
System；The data that can not be directly read from block chain are needed to input as system, are filled into financial generic attribute, as subsequent
The basis of operation.
The technology contents and operating technology index of the modular unit of the present embodiment and the technology ratio of similar products at home and abroad
Relatively see below Tables 1 and 2.
The above is only specific application examples of the invention, are not limited in any way to protection scope of the present invention.All uses
Equivalent transformation or equivalent replacement and the technical solution formed, all fall within rights protection scope of the present invention.
Claims (10)
1. a kind of supply chain trade finance risk evaluating system based on three stream unification models, which is characterized in that including storing mould
Block (1), model construction module (2), model manipulation module (3), application module (4) and three stream unifications model (5), the storage
Module (1) acquisition data and static data (7) of combination input from block chain (6), are filled in three stream unification model (5)
Activity (15) and activity association (16), and prepare it is subsequent it is described three stream unification model (5) foundation；The model construction module
(2) sequence from the memory module (1) between reading activity and activity, selection, concurrency relation data reappear complete out
Reaction trade process flowchart illustrative model, while fill fair value change, cargo loss etc. assets profit and loss data, obtain
The flowchart illustrative of trade process；The model manipulation module (3) provides model access (8) and attribute access by memory access device (22)
(9) operation, and operating result is applied in the application module (4)；The application module (4) is by risk assessment unit
(10), view converting unit (11) and quantitative analysis unit (12) collectively constitute, and the risk assessment unit (10) includes supply
Chain structure risk analysis unit (13) and business risk analytical unit (14), the quantitative analysis unit (12) include assets projection
Structural unit (20) and assets conservation Accounting unit (21)；Three stream unification model (5) by view converting unit (11) and
The asset views (19) that descriptive model (17) generates jointly, at the same by quantization analytical unit (12) trade process it is each when
The accounting that enterprise assets conservation is carried out in intermediate node transfers the node for calculating result and violation conservation to risk assessment unit
(10), corresponding supply-chain Structure scoring is then obtained；The risk assessment unit (10) is also directly grasped by the model simultaneously
Make to extract data in screening washer (23) the selection result of the setting of module (3), carries out supply-chain Structure risk and business risk
Analysis.
2. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the memory module (1) includes data acquisition (24) and data pre-processing unit (25), is adopted from block chain (6)
Collection extracts data packet, and is filled into the data for being expressed as movable (15) and activity association (16), specific data be include forerunner
Activity, rear-guard activity, related information, correlation rule and association address five-tuple module data, in combination with static data
(7), it is filled into the storage model (1).
3. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the model construction module (2) generates activity-centric three stream unification model (5) to describe, simultaneously
The assets profits and losses such as tax and the operating cost that assets fair value changes, trade generates in the process in the trade phase are filled, are generated most
Whole descriptive model (17).
4. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the model manipulation module (3) is between the model construction module (2) and application module (4), for institute
It states descriptive model (17) and carries out public fundamental operation, including the reading to data in the descriptive model (17) and to activity
Basic calculating result is finally submitted to the application module (4) by the extraction of attribute.
5. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: three stream unification model (5) captures cash flow, information flow, logistics information by filling activity, closes with activity
Join the descriptive model (17) of (16) jointly constructs trade process, and is combined view conversion module (11) projection and generates ginseng
With square view (18) and asset views (19).
6. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the activity (15) includes logistics generic attribute, information generic attribute, financial generic attribute and management class attribute, described
Logistics generic attribute specifically include logistics company, logistics information, delivery availability, the delivery time, logistics class resource, contract class resource,
Bill of lading and status tracking；The information generic attribute specifically includes participant resource, inputs resource, exports resource；The finance
Generic attribute include financing type, bank, financing participant, credit attribute, Mortgage assets information, financial instruments, contract class resource,
Fund, financing the period, financing rate, executive condition, dynamic risk, static risk, core enterprise's risk, financing enterprise risk,
External environment risk；The management class attribute includes activity description, the time started, the end time, the time limit, place of performance, current
State, historic state and external data.
7. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the mode that is converted into of the descriptive model (17) to the asset views (19) is used to every during trade
A active node calculates asset transition amount △ X=(V1, V2, V3, V4)；Wherein V1, V2, V3, V4 respectively correspond fund, equity, reality
The variable quantity and cost value of object, when the big node of △ X numerical value shows that occurrence risk destructive power is larger；The descriptive model (17)
To being converted into for participant view (18), by reading and screening the completion of the participant attribute data in activity attributes.
8. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the quantitative analysis unit (12) is real using the asset views (19) for having constructed trade process, and on this basis
Now during entire trade enterprise assets conservation accounting, specific calculation process be by trade single on trade activity node participate in
Square asset transition amount △ X is characterized as (V1, V2, V3, V4), in which: V1 represents fund variable quantity, and V2 represents equity variable quantity, V3
Physical assets variable quantity is represented, V4 represents current active node expense, on each of trade process node, in V1+V2+
The Shi Ze of V3+V4=0 represents present node assets conservation；Present node is represented in the Shi Ze of V1+V2+V3+V4 ≠ 0, and non-conservation occurs,
Current operation is high risk operation.
9. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: V1 is the subtraction value for exporting resource fund attribute value and inputting resource fund attribute value；Solution to V2, extracts
The contract class Resource Properties for including in trade procedure activation node are transformed into fund dimension, and ask poor between output, input resource
Value, specifically, when the contract of assets transfer can be generated by calculating dispatch list, particular paper, stock voucher three classes:
The first, output resource contains dispatch list, if object is seller, V2 is positive value；If object is purchaser, V2 is negative value；
The second, input resource contains particular paper, if object is seller, V2 is negative value；If object is purchaser, V2 is positive value；
Third, output resource contain particular paper, if object is seller, V2 is positive value；If object is purchaser, V2 is negative value；
4th, input resource contains in stock voucher, and V2 is negative value；
5th, output resource contains in stock voucher, and V2 is positive value；
When seeking V3, material association attributes (commodity or the material combination of shipping and receiving for including in trade procedure activation node is extracted
Material, specification and the market price), it is transformed into fund dimension；For material, V3=α * (β 0+ β), i.e. total price=quantity * (base
Valence+floating price)；V4 then mainly includes the assets profits and losses such as fair value changes, cargo is lost.
10. a kind of supply chain trade finance risk evaluating system based on three stream unification models according to claim 1,
Be characterized in that: the risk assessment unit (10) obtains contract participant quantity, cargo transport state, contract in flowage structure
Honouring an agreement, progress, financed amount and total trade volume, order fulfil situation, order splits complexity, collateral security cashability, collateral security are handed over
The quantized result of the risks item such as goods accuracy rate, party information, the logistics company information of combining movement node loads are quantified
As a result, assessing supply-chain Structure risk, risk assessment unit (10) receives the active section in quantization analytical unit result
Point is input to the drift rate of conservative value, and amendment quantization marking, specific makeover process is correction value △ R=μ △ X, in which: μ
For the weight of non-conservation offset, μ value is larger, represents Evaluation: Current system and focuses on to consider the risk of assets non-conservation, specific μ
Value is selected need to combine current supply chain historical data.
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| CN110969376A (en) * | 2019-09-05 | 2020-04-07 | 浙江工商大学 | Building material supply chain financial risk assessment algorithm based on complex network |
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Application publication date: 20190524 |