CN102685182A - ICT (integrated computer telemetry) support design for global value chain market disposition load - Google Patents

Abstract

The invention discloses an ICT (integrated computer telemetry) support design for a global value chain market disposition load. The ICT support design is a new technology which is established on new logical foundation, mathematics foundation and scientific foundation; aims at transforming a cloud computing system into a universal computing system connecting all things on earth; takes the internet user as the center so as to further takes the multi-level value chain (GVC) as the center as well as takes the linkage and coordination of a cognitive system and a practical system, which are carried out based on a computer aided system and the internet, as the principal line of the evolution process of a high-level intelligent integration system (HIIS); and is established by establishing a basic model, a normal form and an equation system of a network configuration dynamics model as well as a basic model, a normal form and an equation system of the game organization synergetic.

Description

Global value chain market allocation load ICT Design of technical support

Technical Field

The global value chain network technology support system [ DCN/IIL (VCSE) ], which aims at establishing a brand-new logic foundation, a mathematic foundation, a scientific foundation and a brand-new technical foundation and engineering foundation by taking the global value chain system (GVC) as a core and taking the connection and coordination of natural intelligence and artificial intelligence based on a computer and a network thereof as a main line of an upgrading process of a General Intelligent Integrated System (GIIS), and constructing a global intelligent integrated cooperative network computer system (CS/HSN (GII)) for a relatively closed and relatively static resource pool, namely a cloud computing network for injecting soul, intelligence and life, so as to build the global Internet into a technology support system with the property of life and ecological holographic cooperative organization. On the basis, a global value chain system (GVC) is taken as a core, connection and coordination of a cognitive system and a practice system based on a computer aided system and the Internet are taken as a main line of an evolution process of a high-grade intelligent integrated system (HIIS), an intelligent integrated scientific and technical system (IIS & IIT) based on a completely new scientific theory of a meta-system (MS) is established, a novel global Internet endowed with life vitality is integrated with a logistics network, an energy network, a financial network and a knowledge network which are scattered at each department of all fields of the world, global value chain system engineering is vigorously carried out, and a global intelligent integrated dynamic convergence network system (DCN/HII (GVC)) with the real life and ecological holographic synergetic organization property is established, so that an intelligent integrated network, a life Internet and an ecological operation network are built. By implementing a global value chain system engineering technology cluster to develop a general strategy, namely the Licheng is called as a 'open the world' plan, the inventor transforms a neglectable 'cloud' computing system into a 'heaven and earth' computing system which can be communicated with everything and is communicated with longitude and latitude.

The invention mainly aims to provide loaded ICT network docking technology for global value chain market allocation through brand-new logic foundation, mathematical foundation, scientific foundation and brand-new technical foundation and engineering foundation.

All the mathematical models referred to in this description have original innovations.

The invention belongs to the field of network technical support facing global value chain market configuration, market organization and market management (MA/GVC), is an intelligent integrated technical foundation facing global value chain and further facing a global value chain market configuration system, and is a key for guiding people, organizations and organizations from ever-variable 'cloud' (computing system) to 'heaven and earth' (brand-new computing system) converging everything.

The MA/GVC is a solution of global value chain system engineering, which introduces the service strategy and operation mode of global value chain into the whole internal and external association system of global value chain market configuration using information system as backbone by means of new information technology and network technology, it is not only the technology change, but also the comprehensive integration and configuration of all the related processes of personnel, fund, logistics, manufacturing and global value chain organization across regions or countries.

The MA/GVC is global value chain configuration software which integrates material resource configuration (logistics), human resource configuration (people flow), capital resource configuration (money flow) and information resource configuration (information flow) related to the inside and the outside aiming at the global value chain market configuration. The next generation of longitudinal association department, transverse association department and Value Resource Planning (VRP) software are described through DIM analysis of rule designers, system integrators and module generators facing the internal and external association of global value chain market configuration and SHF analysis of final consumers, social regulation mechanisms and relatives at home and abroad facing the internal and external association of the global value chain market configuration. It will contain the global value chain market configuration internal and external associated user/service system architecture, using graphical user interface, application open system production. In addition to existing standard functionality, it includes other characteristics such as quality of correlation inside and outside the global value chain market configuration, process operational configuration, and regulatory reporting of correlation inside and outside the global value chain market configuration. In particular, the underlying technology employed by the MA/GVC will provide the global value chain market with both internal and external associated independence of both user software and hardware to make it easier to upgrade. The key to MA/GVC is that all users associated inside and outside the global value chain market configuration can tailor their applications and thus have natural ease of use.

Background

In recent years, the integration of three networks in the ICT industry and the cloud computing network technology have been greatly promoted in China and abroad. Grids attempt to achieve a comprehensive sharing of resources on the internet, including information resources, data resources, computing resources, software resources, and the like.

However, at present, the fusion of three networks in the ICT industry is in danger of losing life, the innovativeness of the cloud computing technology is seriously insufficient, the application of the cloud computing is limited, and the development of the cloud computing system is in an embarrassing situation of being hot and cold in industry. With the rapid development of computer technology and network technology, financial innovation and increasing financial risk, market competition is further aggravated, the competition space and range of the global value chain are further expanded, and the integration of global economy is continuously promoted. The twenty-first 90 s are mainly oriented to the idea of overall allocation of resources in the global value chain, and then gradually develop into an allocation idea how to effectively utilize and allocate the whole resources. In this situation, Lizong first proposed a concept report of MA/GVC.

On the basis of establishing a connecting set based on an intelligent integrated economy multi-attribute measurement space, a connecting operator based on an intelligent integrated economy multi-rule measurement matrix, a connecting relation based on intelligent integrated economy multi-factor variable-weight synthesis and a connecting function based on an intelligent integrated economy manifold system, the inventor provides a brand new network system, namely a global dynamic connecting network, which takes an information network as a platform and integrates a logistics network, a knowledge network and a financial network into a whole; further, a brand-new computing system including cloud computing and grid computing, namely a 'heaven and earth' computing mode facing knowledge resource allocation, physical resource allocation and financial resource allocation, is developed and established; further, a new operating system, namely a holographic cooperative operating system (OS/HSO), which is a new operating system that is integrated with various cognitive operations and practical operations by using a computer operating system and an Internet operating system as keys, is developed and established.

The invention provides a global value chain dynamic convergence network system DCN/IIL (VCSE), which is a global open network system which integrates a logistics network (MN), an energy flow network (EN), an Information Network (IN), a Financial Network (FN) and a Knowledge Network (KN) into a whole and provides comprehensive integrated service IN the whole field, the whole system and the whole process, wherein the global Value Chain System (VCS) is from a product value chain PVC (PVC) and a global value chain GVC, to an industrial value chain IVC and a regional value chain RVC, to a national value chain NVC and a global value chain GVC) as a core, and the three networks of a telecommunication network (MCN), a computer network (WWW) and a Broadcast Television Network (BTN) are integrated into a main technical support.

The invention provides a global dynamic convergence network to be developed and established and a world computing and holographic cooperative operation System (OS/HSO for short), which is a complete complex System. The heaven and earth computing aims to integrate a plurality of relatively low-cost computing entities into a complete intelligent integrated system with strong computing power through a logistics, knowledge and financial total-convergence network supported by an information network, and distribute the strong computing power to external and internal terminal users of the information network by means of brand-new business modes such as SaaS/HSO, PaaS/HSO, IaaS/HSO, MSP/HSO and the like inside and outside the information network.

The concept of global dynamic convergence network computing can be regarded as an application mode which integrates and interpenetrates a logistics network, a knowledge network and a financial network by taking an information network as a platform. Global dynamic convergence network computing is not only oriented to computers and information networks, but also to logistics networks, knowledge networks, and financial networks. The intelligent integrated system tries to surpass information calculation and information network calculation, and tightly links the information calculation and the information network calculation with the collection, the penetration and the operation of a logistics network, a knowledge network and a financial network, thereby realizing intelligent integration.

As the basis of the invention, the brand-new logic basis comprises holographic convergent logic, bipolar convergent logic and bipolar holographic convergent logic; the brand new mathematics foundation comprises holographic convergent mathematics, dipolar convergent mathematics and system transition analytical mathematics; the brand new scientific basis comprises resource allocation dynamics, holographic organization synergetics, a system efficacy value theory, game organization synergetics, hedging balance economics, holographic confluent physics and through science (cross science and transverse science) formed by the large synthesis of a series of brand new theories, namely element system science and intelligent integration science; the brand new technology base is a brand new system technology (cluster) taking a value chain system as a core and oriented to holographic cooperativity; the brand new engineering foundation is brand new system engineering (cluster) taking a value chain system as a core and oriented to holographic cooperativity.

Disclosure of Invention

(1) For a global value chain, the inventor establishes a brand-new logic foundation, a brand-new mathematical foundation, a brand-new scientific foundation, a brand-new technical foundation and a brand-new engineering foundation independently, in order to modify a neglected and uncertain 'cloud' computing system into a 'heaven-earth' computing system which can link everything and run through longitude and latitude, the inventor insists on taking the global value chain system as a core, and taking the connection and coordination of a cognitive system (RS and a computer-aided system thereof) and a practice system (PS and a computer-aided system thereof) as a main line of an evolution process of a high-level intelligent integrated system (HIIS), and firstly establishes a dynamic foundation of market allocation load design.

Sustainable development is a fundamental goal and criterion for a synergistic economic system. In light of this goal and guidelines, we must re-study the "resource-economic" integrated accounting problem in order to more reasonably reorganize, reset, and reconstruct the economic operating load from the physical makeup.

For further studies on the economic operating load and its physical composition, we shall base our understanding on the marginal opportunity cost moc concept and its three components mpc, muc, mec. The marginal opportunity cost (moc) is an abstraction and measure of the consequences of resource exhaustion from an economic perspective and/or economic activity from a sociological perspective from a resource and environmental economic perspective. According to the marginal opportunity cost theory, moc consists of three parts: (a) Marginal production (private) cost mpc; (b) Marginal use (exhaustion) cost muc; (c) Marginal external costs (of which the most dominant factor is damage to the ecosystem) mec, i.e.

moc = mpc + muc + mec

Here, mpc is a concept closely related to resource production, and refers to the cost that relevant departments should directly bear in the resource production process; muc is closely related to the resource consumption/usage process, mainly referring to the loss of non-renewable resources due to the non-use of the non-renewable resources by future (descendant) users, or the future value of the non-renewable resources; mec is a concept closely related to externality, mainly referring to the loss of ecological environment caused by resource production/use, and may occur in both production and consumption stages, or in both stages.

According to the marginal opportunity cost theory, muc is generally aimed at non-renewable resources, and for renewable resources, if the development and utilization are reasonable, the resource growing balance or consumption is less than the resource growing amount, then muc = 0. However, if renewable resources are over-exploited and non-continuously utilized, there is also a tendency for depletion, nor is the muc equal to zero.

(1.1) within a global value chain market allocation load, each base member can be viewed as a rendezvous point for the "mass" of the load (derived from the product of the built strength of the load itself and the maximum amount of resources that can be directly operated). In this case, the flow and velocity of these discrete points need only be determined.

Any global value chain market allocation system can be regarded as a hierarchical system formed by resource nodes, allocation nodes and organization nodes. In a global value chain configuration system, a variety of resources having different quantities and different units of measure can be summarized aslA resource node, andlone resource node can be summarized asmThe number of the configuration nodes is equal to the number of the configuration nodes,meach configuration node can be summarized asnTissue nodes.

One benefit of introducing market deployment strength is that we can handle a variety of resources of different natures in a quantifiable manner. Through the market allocation strength, physical resources, information resources and psychological resources, or natural resources, social resources and mental resources can be abstracted into resource nodes or allocation nodes, and the motion and distribution states of the resource nodes or the allocation nodes are described in a resource allocation space. The resource allocation space is actually formed by abstracting a physical space, an information space and a psychological space, and is a unified process of the physical space, the information space and the psychological space.

One resource node for global value chainkIntensity allocated by market _dc _k, ( t ) And quantity of resources _k qBy product of this, we can determine a new base quantity:

， ( 1. 1. 32 )

this new base quantity may be referred to as a resource load.

Obviously, in general, the higher the intensity of market allocation, the smaller the aggregate amount of resource elements. As shown in fig. 1. Rectangle 0 in the figure _d c _{k, 1 k}Aq ₁、0 _d c _{k , 2 k} Bq ₂And 0 _d c _{k , 3 k} Cq ₃The areas enclosed respectively represent three distributed quantities of the global value chain resource node.

The calculation formula of the global value chain resource node distribution quantity can be given in the following forms:

（a）

( 1. 1. 33 a )

（b）

( 1. 1. 33 b )

（c）

( 1. 1. 33 c )

a resource integration node for global value chaink Intensity allocated by the material market _dkc _M, ( t ) And amount of material resources _k q _{M ,} Product and information market allocation strength _dkc _I, ( t ) And amount of information resources _k q _{I ,} Sum of volume and mental market allocation strength _dkc _S, ( t ) And the amount of mental resources _k q _{S ,} By product of this, we can determine a new base quantity:

， ( 1. 1. 34 )

this new base quantity may be referred to as a resource integration load.

Configuring nodes for a global value chain marketjIntensity allocated by the material market _djc _M, ( t ) And amount of material resources allocated _j q _{M ,} Product and information market allocation strength _djc _I, ( t ) And information resource allocation quantity _j q _{I ,} Sum of volume and mental market allocation strength _djc _S, ( t ) And amount of mental resource allocation _j q _{S ,} By product of this, we can determine a new base quantity:

， ( 1. 1. 43 )

this new base quantity may be referred to as global value chain market allocation load.

For a MA/GVC organization nodei Allocation of tissue strength from material resources _DiC _M, ( t ) And amount of material resources allocated _i Q _{M ,} Product of, information resource allocation organization strength _DiC _I, ( t ) And information resource allocation quantity _i Q _{I ,} Sum of volume and mental resource allocation organizational strength _DiC _S, ( t ) And amount of mental resource allocation _i Q _{S ,} By product of this, we can determine a new base quantity:

， ( 1. 1. 55 )

this new base quantity may be referred to as the global value chain market allocation organization load.

For global value chain resource strengthening load (force) as described by the following differential equation

( 1. 4. 34 )

The general form of global value chain resource strengthening load (force) can be written as:

( 1. 4. 34 )

wherein, _SC X[ OCT, HSS ]and _EC X[ OCT, HSS ]respectively, the global value chain system resource strengthening load and the globalAnd (3) environmental resource strengthening load of the value chain:

, ( 1. 4. 35 a )

( 1. 4. 35 b )

while _MRX _{, OAH}, _ERX _{, OAH}, _IRX _{, OAH}, _KRX _{, OAH}And _SRX _{, OAH}respectively material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment.

(1.2) the number of rendezvous point flow components in the global value chain market allocation ontology structure may be referred to as the dynamic degree of freedom of the global value chain market allocation ontology structure. For example, if the organizational hierarchy shown in FIG. 2 is constrained such that 9 rendezvous points (i.e., nine base members) flow in the vertical direction only, the hierarchy is referred to as a nine degree of freedom hierarchy. On the other hand, if these nucleation sites do not only flow vertically between different energy levels, but also flow horizontally between different energy levels, then the tissue system will have 18 degrees of freedom. The primary objective of the dynamical analysis of a given structure is to calculate the time course of the change of the known structure that is subjected to a given time-varying load. In most cases, it is accurate enough to apply an approximate analysis method that contains a limited number of degrees of freedom. Thus, the problem becomes a time course of finding these selected displacement components.

The global value chain market allocation subject structure dynamics should primarily investigate the reaction any given type of global value chain market allocation subject structure will produce when subjected to any dynamic loading. Generally, there are two fundamentally different methods of calculating structural responses under dynamic loading: both numeric and non-numeric. The reaction of a body structure to a global value chain market allocation under dynamic loading is mainly expressed by the change of the body structure. Quantitative analysis can derive a time course of structural variation corresponding to the non-random loading course.

The problem of the dynamics of the global value chain market allocation major structure can be divided into two levels:

the dynamic problem between the operation load of the global value chain market allocation main body and the structure of the global value chain market allocation main body is solved;

and the second is the dynamic problem between the operation action and load of the global value chain market allocation main body and the infrastructure of the global value chain market allocation main body.

Operational load of global value chain market configuration agent _UMM M( t) The system mainly comprises all resources which are actually operated by a global value chain market allocation main body under certain operation intensity. The bearing capacity of the global value chain market allocation main body structure is mainly determined by the operation capacity of the global value chain market allocation main body _UMM F( t) And (4) forming. It is clear that,

when in use _UMM M( t ) << _UMM F( t) The global value chain market configuration main structure has no dynamics problem;

when in use _UMM M( t ) < _UMM F( t) The global value chain market allocation major structure slightly reacts;

when in use _UMM M( t ) = _UMM F( t) In time, the global value chain market allocation major structure maintains dynamic balance;

when in use _UMM M( t ) > _UMM F( t) In time, the global value chain market allocation major structure needs to be properly adjusted;

when in use _UMM M( t ) >> _UMM F( t) The global value chain market allocation major structure will change significantly and even be destroyed.

Therefore, the following principles can be proposed:

the operational load of the global value chain market allocation subject must be adapted to the bearing capacity of the global value chain market allocation subject structure, i.e. the operational load of the global value chain market allocation subject structure must be adapted to the bearing capacity of the global value chain market allocation subject structure

| _UMM M( t ) – _UMM F( t ) | <ε _M ( 2. 197 )

This can be regarded as the first principle of the dynamics of the global value chain market allocation body structure; whereinεIs any decimal fraction.

Further, there are several requirements:

the operational load of the market allocation body must be adapted to the bearing capacity of the market allocation body structure, i.e. the market allocation body structure

| _UMD M( t ) – _UMD F( t ) | <ε _MD

The operational load of the transport body to be planned must be adapted to the load-bearing capacity of the structure of the transport body to be planned, i.e. the load-bearing capacity of the transport body to be planned

| _UMC M( t ) – _UMC F( t ) | <ε _MC

The operational load of the planned processing body must be adapted to the load-bearing capacity of the planned processing body structure, i.e. the load-bearing capacity of the planned processing body structure is adapted to the operational load of the planned processing body structure

| _UME M( t ) – _UME F( t ) | <ε _ME

The operational load of the planned innovation subject must be adapted to the bearing capacity of the planned innovation subject structure, i.e. the load of the planned innovation subject structure

| _UMB M( t ) – _UMB F( t ) | <ε _MB

Between the operation of the global value chain market allocation subject and the infrastructure of the global value chain market allocation subject, the load is mainly composed of the operation force and the operation load of the global value chain market allocation subject, and is recorded as _UM M( t) I.e. by _UM M( _UMM M( t )， _UMM F( t) ); the bearing capacity is mainly carried by the surrounding environment _UMM E( t) And centralize the coordination of bearing capacity _UMM C( t) Are formed jointly and are recorded as _UMM B( t) I.e. by _UMM B( _UMM E( t )， _UMM C( t ))。

Setting the maximum bearing capacity of the main body infrastructure of the global value chain market allocation asB ^* _UMM ( t). It is clear that,

when in use _UM M( t ) << B ^* _UMM ( t) The global value chain market allocation subject infrastructure does not have dynamics issues;

when in use _UM M( t ) < B ^* _UMM ( t). The global value chain market allocation main body infrastructure slightly reacts;

when in use _UM M( t ) = B ^* _UMM ( t) Global value chain market allocation major infrastructure maintains dynamic balance;

when in use _UM M( t ) > B ^* _UMM ( t) In time, the global value chain market allocation subject infrastructure needs to be properly adjusted;

when in use _UM M( t ) >> B ^* _UMM ( t) The global value chain market allocation subject infrastructure will significantly change, even be destroyed.

Therefore, the following principles can be proposed:

the operational capacity and operational load of the global value chain market allocation subject must be adapted to the bearing capacity of the infrastructure of the global value chain market allocation subject, i.e. the operational capacity and operational load of the global value chain market allocation subject must be adapted to the bearing capacity of the infrastructure of the global value chain market allocation subject

| _UM M( t ) –B ^* _UMM ( t ) | <ε _UM ( 2. 299 )

This can be considered as a second principle of the dynamics of the global value chain market allocation body structure.

(1.3) many networks in the real world (such as metabolic networks, social networks) have a significant community structure (modular structure), and this phenomenon can be described and explained by a deterministic hierarchical network model. The hierarchical network model is constructed as follows^[44] : first, a solution is generatedM A complete graph module consisting of nodes, wherein one node is defined as a central node, and the other nodes are defined as central nodesM-1 node is a peripheral node; then 4 copies were made, and the number of each copy was determinedM-1 peripheral node connection to the central node of the original full graph, thus obtaining a graph withM ²A module of individual nodes; then copying the new module just obtained 4 times, and for each copyM– 1 ) ² A peripheral node is connected to the central node of the original module, thus forming aM ³ A module of individual nodes; this replication and concatenation process can proceed indefinitely until the desired size of network scale is formed. This results in a deterministic hierarchical network of modules.

Node degree compliance index of hierarchical network formed by the method

The power law distribution of (1) the node clustering coefficient is inversely proportional to the degree thereof, namely the degree isk Node cluster coefficient ofC ( k) Conforms to the formula:

the model proposes for the first time to characterize the hierarchy of a network by clustering degree correlation, and hereafter one refers to a network with such clustering degree-related relationship as a hierarchical network. The hierarchical network model provides a new view and a new method for people to research complex networks, and the deterministic hierarchical network draws wide attention shortly after release: noh and the like accurately solve the properties of the network such as degree distribution, cluster coefficient, diameter, betweenness and the like^[104] (ii) a Scholars such as Nache r in Japan propose an extended hierarchical network model^[105] The extended model is more realistic.

Indeed, a pioneer (prototype) model of this deterministic network was published as early as 2001, the first deterministic scaleless network model, which was constructed iteratively by Barab a si et al^[41] . In 2005, Iguchi and Yamada accurately solved the spectral properties of the precursor model, and obtained some interesting conclusions^[106] . After the pioneer model is published, many scholars propose various construction methods of deterministic scale-free networks from various angles and layers.

For the global value chain, the integrated configuration load is regarded as a function of the combination of the social knowledge technology, and the social knowledge technology can be regarded as being mainly formed by combining an knowledge structure, a technical structure, a division structure, a property right structure, a decision structure, a transaction structure and an information structure. Global value chain market allocation loads can be divided into 16 major types.

Under the condition that basic dynamic effect restriction conditions and basic dynamic effect factor restriction conditions, environmental dynamic effect restriction conditions and environmental dynamic effect factor restriction conditions, external dynamic cooperation restriction conditions and external dynamic cooperation factor restriction conditions, internal dynamic cooperation restriction conditions and internal dynamic cooperation factor restriction conditions are given, basic equations, typical equations and dominant equations which are generated and developed reasonably are established, basic equations, typical equations and dominant equations which are maintained and quit non-reasonably are established, and GVC planning game organization and mutual substitution thereof are analyzed.

For the global value chain, the generalized commodity system and the multi-level value chain system are shown in fig. 2.

According to the analysis established by the inventor, the value of the commodity is to meet the social necessary efficacy of the general supply and demand relationship of the society. There is a base of value at different levels as follows.

The value of the simple commodity lies in that the simple production meets the social essential effect of the general supply and demand relationship of the society:

V _simpl ：

, s. t.

；

the value of the composite commodity lies in that the composite production meets the social essential effect of the common supply and demand relationship of the society:

V _compl ：

, s. t.

the value of the simple system commodity is that the simple production system meets the social essential effect of the general supply and demand relationship of the society:

V _syst ：

, s. t.

the value of the complex system commodity is that the complex production system meets the social necessary effect of the general supply and demand relationship of the society:

V _com-syst ：, s. t.

the theoretical hypothesis and the logical structure of the hedge balance economic value analysis established by the inventor are centered on a value measurement system established in a basic commodity space, a composite commodity space, a system commodity space and a meta-system commodity, and the generalized value measurement system is based on the social essential efficacy (a function closely related to the balance price and the balance quantity) of the generalized commodity.

(1.4) because the value chain system can be divided into five levels, namely a product value chain system PVC, an enterprise value chain system EVC, an industrial value chain system IVC, a national economic value chain system NVC and a global economic value chain system GVC, various generalized loads in the market configuration system can be correspondingly divided into five levels, namely:

basic load (narrow load) BC (MA/PVC) configured in the PVC reproduction market, basic load (narrow load) BC (MA/EVC) configured in the EVC reproduction market, basic load (narrow load) BC (MA/IVC) configured in the IVC reproduction market, basic load (narrow load) BC (MA/NVC) configured in the NVC reproduction market, and basic load (narrow load) BC (MA/GVC) configured in the GVC reproduction market;

a composite load CC (MA/PVC) configured in a PVC reproduction market, a composite load CC (MA/EVC) configured in an EVC reproduction market, a composite load CC (MA/IVC) configured in an IVC reproduction market, a composite load CC (MA/NVC) configured in an NVC reproduction market and a composite load CC (MA/GVC) configured in a GVC reproduction market;

the method comprises the following steps of configuring simple system loads SSC (MA/PVC) of a PVC (polyvinyl chloride) reproduction market, configuring simple system loads SSC (MA/EVC) of an EVC reproduction market, configuring simple system loads SSC (MA/IVC) of an IVC reproduction market, configuring simple system loads SSC (MA/NVC) of an NVC reproduction market and configuring simple system loads SSC (MA/GVC) of a GVC reproduction market;

a complex system load CSC (MA/PVC) configured in a PVC reproduction market, a complex system load CSC (MA/EVC) configured in an EVC reproduction market, a complex system load CSC (MA/IVC) configured in an IVC reproduction market, a complex system load CSC (MA/NVC) configured in an NVC reproduction market and a complex system load CSC (MA/GVC) configured in a GVC reproduction market;

the system comprises a complex large system load GSC (MA/PVC) configured in a PVC (polyvinyl chloride) reproduction market, a complex large system load GSC (MA/EVC) configured in an EVC reproduction market, a complex large system load GSC (MA/IVC) configured in an IVC reproduction market, a complex large system load GSC (MA/NVC) configured in an NVC reproduction market and a complex large system load GSC (MA/GVC) configured in a GVC reproduction market.

(2) For a global value chain, the inventor establishes a brand-new logic foundation, a brand-new mathematical foundation, a brand-new scientific foundation, a brand-new technical foundation and a brand-new engineering foundation independently, and establishes a technical principle of load configuration design by insisting on taking a global value chain system as a core and taking the connection and coordination of a cognitive system (RS and a computer-aided system thereof) and a practice system (PS and a computer-aided system thereof) as a main line of an evolution process of a high-level intelligent integrated system (HIIS) in order to transform a neglected and indefinite 'cloud' computing system into a 'heaven-Earth' computing system which can link everything and run through longitude and latitude.

(2.1) one generalized cooperative entity has four entities in total to the load unit of the final resource, namely an internal centralized organization competitive entity, an internal distributed organization competitive entity, an external centralized organization competitive entity and an external distributed organization competitive entity. The analysis of the hedge balancing configuration model between the centralized organization competition and the decentralized organization competition-the general hedge balancing configuration decision analysis model is shown in fig. 3.

Various types of SGKD are statistically calculated according to the generalized competitive loading method established by the present inventors, and can be simply expressed as:

SGKD = SIDKC + SICKC + SEDKC + SECKC

+ ( SIDKX – SIDKM ) + ( SICKX – SICKM ) + ( SEDKX – SEDKM ) + ( SECKX – SECKM )

wherein,

SIDKC is the final load amount attributed to the internal decentralized organizational competition configuration of the ontology;

the SIKC is the final load amount of the internal centralized organization competition configuration attributed to the body;

SEDKC is the final load amount attributed to the external decentralized organizational competition configuration of the ontology;

SECKC is the final load amount attributed to the outside centralized organization competition configuration of the ontology;

SIDKX is the competition for configuration of outflow attributed to the internal dispersed tissue of the body;

SICKX is the outflow quantity of the internal centralized organization competition configuration attributed to the body;

seddx competes for the configured outflow for the external discrete tissues attributed to the body;

SECKX configures outflow for external concentrated tissue competition attributed to the body;

SIDKM is the internal decentralized organisational competition allocation influx attributed to the ontology;

SICKM is the internal centralized organization competition configuration inflow amount attributed to the body;

SEDKM is the external decentralized tissue competition configuration inflow attributed to the ontology;

SECKM configures the inflow for external centralized organization competition attributed to the ontology.

The generalized competition configuration method proposed by the present inventors requires that all competition configuration entities (an internal centralized organization competition entity, an internal distributed organization competition entity, and an external centralized organization competition entity and an external distributed organization competition entity) add up all configurations of final resources within a certain period of time to obtain an SGKD.

The configuration unit of a competitive entity to the final resource has four entities, namely an internal centralized organization competitive entity, an internal distributed organization competitive entity, an external centralized organization competitive entity and an external distributed organization competitive entity.

Various types of SGKD are statistically calculated according to the generalized competitive loading method established by the present inventors, and can be simply expressed as:

SGKD = SIDKD + SICKD + SEDKD + SECKD

wherein,

SIDKD is the final configuration amount attributed to the internal decentralized organizational competition configuration of the ontology;

SICKD is the final configuration quantity of the internal centralized organization competition configuration attributed to the body;

seddd is the final configuration amount attributed to the outside decentralized organizational competitive configuration of the ontology;

SECKD is the final configuration volume attributed to the outside centralized organization competition configuration of the ontology.

The generalized competition consumption method proposed by the inventor requires that all the consumption of all competition configuration entities (internal centralized organization competition entities, internal distributed organization competition entities, and external centralized organization competition entities and external distributed organization competition entities) for configuring final resources in a certain period are added to obtain the SGKD.

The generalized competitive entity has four kinds of entities in total for the consumption unit configured by the final resource, namely an internal centralized organization competitive entity, an internal distributed organization competitive entity, an external centralized organization competitive entity and an external distributed organization competitive entity.

The general competitive consumption method provided by the inventor is used for counting various types of SGKD, which can be simply expressed as follows:

SGKD = SIDKW + SICKW + SEDKW + SECKW + ( SIDKWX – SIDKWM )

+ ( SICKWX – SICKWM ) + ( SEDKWX – SEDKWM ) + ( SECKWX – SECKWM )

wherein,

SIDKW is the final consumption attributed to the internal decentralized organizational competition configuration of the ontology;

SICKW is the final consumption attributed to the internal centralized organization competition configuration of the ontology;

SEDKW is the final consumption of the external scatter-weave competition configuration attributed to the ontology;

SECKW is the final consumption of the external centrally organized competitive configuration attributed to the ontology;

SIDKWX is the amount of resources attributed to the ontology that flow out due to consumption of the internal decentralized organization competing for configuration;

SICKWX is the amount of resources attributed to the ontology that flow out due to internal centrally organized competitive configuration consumption;

seddwx is the amount of resources attributed to the ontology that flow out due to the consumption of the external decentralized organization competing for the configuration;

SECKWX is the amount of resources attributed to the ontology that flow out due to consumption of the external centrally organized competitive configuration;

SIDKWM is the amount of resources attributed to the ontology that flow in as a result of consumption by the internal decentralized organization competing for configuration;

SICKWM is the volume of resources attributed to the ontology that flow in as a result of internal centrally organized competitive configuration consumption;

sedwm is the amount of resources attributed to the ontology that flow in as a result of external decentralized organization competing for configuration consumption;

secwm is the volume of resources attributed to the ontology that flow in as a result of consumption by the external centrally organized contention configuration.

(2.2) Global value chain market allocation load can be viewed as being caused by

(A1) Global value chain market allocation load of external/internal centralized coordination type (c/ _UMB C ₁ ）

(A2) Global value chain market allocation load of the external centralized coordination/internal decentralized coordination type ( _UMB C ₂ ）

(A3) Global value chain market allocation load of external centralized coordination/internal distributed coordination type ( _UMB C ₃ ）

(A4) Global value chain market allocation load of external decentralized coordination/internal centralized coordination type (c:) _UMB C ₄ ）

(A5) Global value chain market allocation load of the external decentralized coordination/internal decentralized coordination type ( _UMB C ₅ ）

(A6) Global value chain market allocation load of external decentralized coordination/internal decentralized coordination type ( _UMB C ₆ ）

(A7) Global value chain market allocation load of external centralized coordination/internal centralized coordination type ( _UMB C ₇ ）

(A8) External collecting and distributing assistantIso/intra dispersion orchestrates the same type of global value chain market allocation load ( _UMB C ₈ ）

(A9) Global value chain market allocation load of external/internal collective and distributive collaboration type ( _UMB C ₉ ）

The global value chain market allocation load formed by the same can be recorded as _{M gen} C(ii) a Namely:

_{M C gen}C = < _{M gen} C, ψ _{M C gen} >

_{M gen}C = { _UMB C ₁ , _UMBC ₂ , _UMBC ₃ , _UMBC ₄ , _UMBC ₅ , _UMBC ₆ , _UMBC ₇ , _UMBC ₈ , _UMBC ₉ }

wherein,ψ _{M S gen} as a function of general co-organizational structure.

I. Resource allocation load CDC [ ECK/ICK ] of external centralized contention/internal centralized contention type

I B1) external/internal centralized competition type configuration loads formed on the same global value chain

；

I B2) external/internal centralized competition type configuration loads formed at various stages of reproduction of the same global value chain

；

I B3) external/internal centralized competition type configuration loads formed on links of phases of reproduction of the same global value chain

。

II. Resource allocation load CDC [ ECK/IDK ] of external centralized contention/internal decentralized contention type

II B1) external concentrated competition/internal distributed competition type configuration loads formed on the same global value chain

；

II B2) external concentrated competition/internal distributed competition type configuration loads formed at various stages of reproduction of the same global value chain

；

II B3) external concentrated competition/internal distributed competition type configuration loads formed on each link of each stage of reproduction of the same global value chain

。

III resource allocation load CDC [ ECK/IMK ] of external centralized competition/internal distributed competition type

III B1) external concentrated competition/internal distributed competition type configuration loads formed on the same global value chain

；

III B2) external concentrated competition/internal distributed competition type configuration loads formed at various stages of the same global value chain reproduction

；

III B3) external centralized competition/internal distributed competition type configuration loads formed on each link of each stage of reproduction of the same global value chain

。

IV, resource allocation load CDC [ EDK/ICK ] of the external decentralized competition/internal centralized competition type

IV B1) external decentralized/internal centralized contention type configuration load formed on the same global value chain

；

IV B2) external decentralized competition/internal centralized competition type configuration loads formed at various stages of the same global value chain reproduction

；

IV B3) external decentralized/internal centralized competition type configuration loads formed on each link of each stage of reproduction of the same global value chain

。

V, resource allocation load CDC [ EDK/IDK ] of external decentralized competition/internal decentralized competition type

V B1) external scatter competition/internal scatter competition type configuration loads formed on the same global value chain

；

V B2) external distributed competition/internal distributed competition type configuration loads formed at various stages of reproduction of the same global value chain

；

V B3) external scatter competition/internal scatter competition type configuration loads formed on links of phases of reproduction of the same global value chain

。

VI, resource allocation load CDC [ EDK/IMK ] of the external decentralized competition/internal decentralized competition type

VI B1) external distributed competition/internal distributed competition type configuration loads formed on the same global value chain

；

VI B2) external decentralized competition/internal distributed competition type configuration loads formed at various stages of the same global value chain reproduction

；

VI B3) external distributed competition/internal distributed competition type configuration loads formed on links of the same global value chain reproduction stages

。

VII, resource allocation load CDC [ EMK/ICK ] of external distributed competition/internal concentrated competition type

VII B1) external distributed competition/internal concentrated competition type configuration loads formed on the same global value chain

；

VII B2) external distributed competition/internal concentrated competition type configuration loads formed at various stages of the same global value chain reproduction

；

VII B3) external distributed competition/internal concentrated competition type configuration loads formed on each link of each stage of the same global value chain reproduction

。

VIII, resource allocation load CDC [ EMK/IDK ] of external distributed competition/internal distributed competition type

VIII B1) external distributed competition/internal distributed competition type configuration loads formed on the same global value chain

；

VIII B2) external distributed competition/internal distributed competition type configuration loads formed at various stages of the same global value chain reproduction

；

VIII B3) external distributed competition/internal distributed competition type configuration loads formed on links of the same global value chain reproduction stages

。

IX, resource allocation load CDC [ EMK/IMK ] of external distribution competition/internal distribution competition type

IX B1) external distributed competition/internal distributed competition type configuration loads formed on the same global value chain

；

IX B2) external distributed competition/internal distributed competition type configuration loads formed at various stages of the same global value chain reproduction

；

IX B3) external distributed competition/internal distributed competition type configuration loads formed on links of the same global value chain reproduction stages

。

(2.2) for various types of cooperative game load (SGCE) patterns of complex economic large systems, the present inventors introduced two closely related structure types-the "technical economic infrastructure" (ARKS TKS/EBS) and the "administrative authority capital structure" (ARKS type). Under the overall analysis framework provided by the book, the administrative power capital structure based on the technical and economic foundation becomes the basic structure (ARKS [ TKS/EBS ]) of the economic cooperative game load.

Generally speaking, in a complex economic large system, the game of administrative powers capital consists of the characteristics of all the participants of the economy, also called environment, noted as environmente = ( e ₁ , e ₂ , ∙∙∙, _n e). All possible environments form a set, denotedE . From the firstiThe information delivered by the individual can be recorded as _i mAlso known as languages (messages). The collection of all these languages is denoted as _i M。n The person is at the timet Is a set of languagesm ( t ) = ( m ₁( t ), m ₂ ( t ), ∙∙∙, _n m( t ))。

If the economic information response function can be divided into ARKS TKS/EBS based on the administrative authority capital structure of the technical economic foundation]Information response function reflecting economic concentrated load process _ARf[ C, [ ARKS [ TKS / EBS ] ]]ARKS TKS/EBS in an administrative authority capital structure based on a technical-economic basis]Information response function reflecting economic decentralized load process _ARf[ D, [ ARKS [ TKS / EBS ] ]]And an administrative authority capital structure ARK based on a technology and economic foundationS [ TKS / EBS ]Information response function reflecting economic distribution load process _ARf[ M, [ ARKS [ TKS / EBS ] ]](ii) a Economic gaming activity collections _ARGCan be divided into ARKS TKS/EBS in the administrative authority capital structure based on the technical and economic foundation]Aggregation of competitive gaming activities _ARG [ K, [ ARKS [ TKS / EBS ] ]]ARKS TKS/EBS in an administrative authority capital structure based on a technical-economic basis]Collections of cooperative gaming activities _ARG [ C, [ ARKS [ TKS / EBS ] ]]And in the administrative authority capital Structure ARKS TKS/EBS based on the technology and economic foundations]Aggregation of upper coordinated gaming activities _ARG [ H, [ ARKS [ TKS / EBS ] ]]The general expression of the economic game load of static incomplete information is

SGC ( _ARG) = SGC ({ A}, { T}, { u}, [ ARKS [ TKS / EBS ] ] )，

Wherein _i ACapital gaming party for administrative poweriA behavior space (configuration manner space) of (c), _i Tis the administrative power capital game playeriType space of (1), administrative power capital gambling partyiTo benefit from _i u( s ₁ , a ₂ , ∙∙∙, _n a) Is combined in a configuration modeS = ( s ₁ , s ₂ , ∙∙∙, _n s) And type _i tThe function of (4), then the economic game cooperative loading mode SGC: (SMG ) = SGC ( _AR G, < M , _ARf , h >, [ ARKS [ TKS / EBS ] ]) The method comprises nine basic types of sub-modes as follows:

SGC ( SMG [ ARKS [ TKS / EBS ] ] )

= SGC ( SMG [ CK, CH, CC, MK, MH, MC, DK, DH, DC, [ ARKS [ TKS / EBS ] ]] )

(2.3) the environment of the MA/GVC system can be regarded as a system composed of various factors having direct or indirect effects and influences on the MA/GVC system. The various effects and influences of the environment system on the MA/GVC system are actually the effects and influences on the survival, movement and development of intelligently configured individuals and tissues, the effects and influences on the survival, movement and development of human life in the MA/GVC system are expanded, and the effects and influences on the survival, movement and development of various life in the MA/GVC system are expanded.

There is a need to analyze two fundamental effects, namely: on the one hand, the carrying capacity of the environment of the MA/GVC system for various lives in the MA/GVC system, and on the other hand, the carrying pressure of various lives in the MA/GVC system for the environment of the MA/GVC system. We can consider this relationship between environmental load and environmental load as the underlying dynamic relationship of the MA/GVC system.

Now let us turn our goal of analysis from resource allocation to the bearer capabilities of the environment towards the MA/GVC system and hence towards the bearer capabilities towards various live-groups within the MA/GVC system. This is an extension and deepening of the system analysis in the front of this book.

We know that there are different concepts of carrying capacity (bearing capacity) in different areas of discipline. For example, in the engineering field there are so-called "engineering load-bearing capacities", in the structural dynamics "structural load-bearing capacities", in the traffic system engineering field there are so-called "transport load-bearing capacities", in ecology there are so-called "ecosystem load-bearing capacities" or "population load-bearing capacities", in environmental sciences there are so-called "earth load-bearing capacities" and "resource load-bearing capacities". Now, around the field of human activity, and thus around the MA/GVC system, we can introduce the concept of "environmental bearer" or "environmental bearer capability".

For the MA/GVC system, the environmental bearer can be regarded as a concept or mechanical quantity with relative significance, denoted as _C E. We can consider the following three levels:

B1) the number of individuals relative to all of the various intelligent integration forms within the MA/GVC system;

B2) the number of individuals integrated with respect to all human intelligence within the MA/GVC system;

B3) the number of individuals organized with respect to intelligent configuration within the MA/GVC system.

Corresponding to these three levels, environmental load (force or capacity) has three implications, namely:

B1) the environment of the MA/GVC system as a whole can keep the number of individuals in various intelligent integrated forms alive without losing balance on a certain market configuration intensity level;

B2) the environment of the MA/GVC system as a whole can keep the number of all human intelligent integrated individuals living under the condition of not losing balance at a certain market configuration intensity level;

B3) the environment of the MA/GVC system as a whole can maintain the number of individuals of the living intelligent configuration organization without losing balance at a certain market configuration intensity level.

Through market configuration strength, the environment bearer can be linked with the configuration activity of the MA/GVC system.

In a certain technology organic composition factor [ OCT ]]And co-organization of structural factors [ HSS ]]Under the conditions of the system formed, let _d C( t ) The strength is configured for the market, n the number of individuals in various intelligent integrated forms in the MA/GVC system capable of keeping the environment in a balanced state is the environment bearing capacity

( 1. 4. 102 )

Wherein _d C( t ) _OAH qCan be regarded as survival of each intelligent integrated individualThe average configuration amount of necessary resources.

If the number of survivable intelligent integrated individuals is increased byh = d n Then the environmental bearing capacity _ECF _{OAH ,} Is composed of

( 1. 4. 103 )

At one is composed oflA resource (integration) node,mAn intelligent integrated individual andnin the MA/GVC system formed by intelligent configuration organization (or intelligent integration form), the environment of the MA/GVC system can be determined for a certain intelligent integration form according to the following relation formula based on generalized secondary integration analysis coordinates under the condition of not relating to organization groupiBearing capacity of _ECF _{OAH i , ;} ：

( 1. 4. 104 )

In the formula _CE _i, For environment toiThe bearing capacity of the intelligent integrated form is provided, _DC _{OAH ijk, ;} is as followsiThe second of intelligent integrated formjIndividual to the firstkThe strength of the weighted (integrated) configuration of the seed resource, _i his as followsiThe growing number of individuals in the form of smart integration,i = 1, 2, ···, n；j = 1, 2, ···, m；k = 1, 2, ···, l 。

analysis of coordinates at two levels of integration: (x, y, z ) Equation (1.4.104) may integrate the degrees of freedom of the activity in terms of its intelligencex、yAndzwriting into:

，

,

。 ( 1. 4. 105 )

further, the MA/GVC system is providednAn intelligent configuration organization (node) with a degree of freedom ofeTherefore, geteA generalized secondary ensemble analysis coordinate ofξ ₁ , ξ ₂ , ···, ξ _e . The coordinate transformation relation should be

，

，

。( 1. 4. 106 )

The sum of each organization node is carried out, and the bearing kinetic energy of the MA/GVC system environment

( 1. 4. 107 )

Wherein _OAHV = _OAHd h / d t Is as follows.

The bearing potential energy of the MA/GVC system environment can be regarded as a function of the number change quantity of all the individuals in the intelligent integrated form on different freedom degrees of activities, namely

( 1. 4. 108 )

Corresponding to a generalized load bearing capacity of

( 1. 4. 109 )

The following functional relationship can be given:

( 1. 4. 110 )

function(s) _ECK _{OAH n , ;} May be referred to as an environment-bearing analytical mechanics basis function.

(3) For a global value chain, the inventor establishes a brand-new logic foundation, a brand-new mathematical foundation, a brand-new scientific foundation, a brand-new technical foundation and a brand-new engineering foundation independently, and in order to transform a neglected and uncertain 'cloud' computing system into a universal and longitude and latitude penetrating 'heaven and earth' computing system, the inventor insists on taking a global value chain system as a core and introduces proper basic cooperative variables for respectively reflecting basic power, basic load, basic efficiency, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptive system to establish an engineering technical scheme for configuring the load.

(3.1) concept of MA/GVC configuration

And C1, embodying the idea of effectively configuring the whole efficacy chain resource. Under the brand-new economic scientific technology and the brand-new management scientific technology which are popularized and applied, on the basis of the popularization and application of the modern network information technology and the vigorous development and establishment of the intelligent integrated dynamic convergent network, the PA/GVC, the MA/GVC and the NA/GVC are mutually connected, and the configuration of all resources such as internal and external related people and properties on the whole global value chain and the flow thereof are jointly realized;

c2, idea of interest community arrangement, simultaneous engineering and camera decision type operation. In the face of intense competition (market) of internal and external association of global value chain planning configuration, stable cooperation (planning) of internal and external association of global value chain planning configuration and interactive coordination (network) of internal and external association of global value chain planning configuration, the global value chain needs to use synchronous engineering organization operation and camera choice configuration, and high level, diversification and flexibility are kept. Under the brand-new economic scientific technology and the brand-new management scientific technology which are popularized and applied, on the basis of the popularization and application of the modern network information technology and the vigorous development and establishment of the intelligent integrated dynamic communication network, the PA/GVC, the MA/GVC and the NA/GVC are mutually connected to jointly realize the choice operation of the camera;

c3, embodying the idea of planning in advance and controlling in the incident. Under the brand-new economic scientific technology and the brand-new management scientific technology which are popularized and applied, on the basis of the popularization and application of the modern network information technology and the vigorous development and establishment of the intelligent integrated dynamic communication network, the PA/GVC, the MA/GVC and the NA/GVC are mutually connected to jointly establish a planning system of a PA/GVC system, and the planning system for the internal and external association of the PA/GVC global value chain planning configuration mainly comprises longitudinal association planning, transverse association planning, cooperative association planning, matching association planning, capacity demand planning and the like;

c4, embodying the idea of carrying flow configuration, in order to improve the competitive advantage, the cooperation advantage and the coordination advantage of the global value chain internal and external association, the reform of the global value chain market configuration internal and external association carrying flow is brought, and the use of the global value chain market configuration internal and external association system application program must be adjusted correspondingly along with the change of the carrying flow.

(3.2) from the perspective of internal collaborative organizational relationships, global value chain market allocation loads can be divided into the following 9 seed types:

market-configured load of an internal centralized collaborative type global value chain organization network URN (on, oc, os, [ ICC ])

Market allocation load of internal centralized competition type global value chain organization network URN (on, oc, os, [ ICK ])

Market allocation load of internal centralized coordination type global value chain organization network URN (on, oc, os, [ ICH ])

Market allocation load of internal decentralized cooperation type global value chain organization network URN (on, oc, os, [ IDC ])

Market allocation load of internal decentralized competition type global value chain organization network URN (on, oc, os, [ IDK ])

Market allocation load of internal decentralized harmonization type global value chain organization network URN (on, oc, os, [ IDH ])

Market allocation load of internal distributed cooperation type global value chain organization network URN (on, oc, os, [ IMC ])

Market allocation load of internal distributed competition type global value chain organization network URN (on, oc, os, [ IMK ])

Market allocation load of internal distributed coordination type global value chain organization network URN (on, oc, os, [ IMH ])

From the perspective of external collaborative organizational relationships, global value chain market allocation loads can be divided into the following 9 seed types:

market allocation payload for external centralized cooperation type global value chain organization network URN (on, oc, os, [ ECC ])

Market allocation payload for external centralized competitive global value chain organization network URN (on, oc, os, [ ECK ])

Market allocation load of external centralized coordination type global value chain organization network URN (on, oc, os, [ ECH ])

Market allocation load of external decentralized cooperation type global value chain organization network URN (on, oc, os, [ EDC ])

Market allocation load of external decentralized competitive global value chain organization network URN (on, oc, os, [ EDK ])

Market allocation payload for external decentralized harmonization type global value chain organization network URN (on, oc, os, [ EDH ])

Market allocation load of external distributed cooperation type global value chain organization network URN (on, oc, os, [ EMC ])

Market allocation load of external distributed competition type global value chain organization network URN (on, oc, os, [ EMK ])

Market allocation load of external distributed coordination type global value chain organization network URN (on, oc, os, [ EMH ])

From the perspective of internal and external collaborative organizational relationships, global value chain market allocation loads can be divided into 81 seed types.

And (3.3) sociality of the economic operation load and the target entity thereof is sociality of the economic operation subject, and sociality of the cooperative economic operation load and the target entity thereof is sociality of the large cooperative economic operation subject.

The network economic operation load can be divided into a physical type and a value type. For the two types of operation loads, the unified description can be obtained from information. Furthermore, the information combination arrangement method can be used for describing all possible information combination situations about the economic operation load.

The whole process of resource coordination is to make analysis judgment and decision at a series of time points. Therefore, the reasonable determination of the judgment time is a link for determining whether the resource coordination is reasonable^[51] . The analysis and judgment of the resource coordination is started from the initial node of the network plan, and the first judgment time point is zero, namelyCT ₁ And = 0. Each subsequent analysis determination time is equal to the earliest completion time of the activities for which the last determination time has been allocated to the resource, i.e. the

_m C T _{+ 1} = min ( _mC T + D′ ) = min F T

In the formula, _m C _{+ 1} is as followsm+ 1 analysis judgment time; _m C Tis as followsmTime is judged through secondary analysis;D' is as followsm+ 1, judging the actually needed duration of each activity with resource conflict, if the activity is in the process _m C T _{+ 1} The time is started, thenD′ = D(original estimated activity duration); if it is active _m C TThe moment has already started, then

D′ = D − ( _m C T _{+ 1} − _m C T)

FTIs done for movementTime.

Determining the judgment time according to the principle can ensure that the resource is immediately re-coordinated and distributed after any activity for obtaining the resource is completed, so that the resource is fully utilized. The latest completion time (LFT) of an activity is an important criterion, and its value depends on the logical relationship and duration between activities in network coordination. The LFT is a limit time when the activity delay affects the economic operation period, so that at the judgment time, the activity with the minimum LFT value should be preferentially arranged to ensure that the time is prolonged to the minimum. The decision principle of the LFT index is from small to large, and the resource allocation priority is determined.

(3.4) based on the resource allocation dynamics, the holographic organization synergetics and the game organization synergetics principle established by the inventor, the load allocated to the global value chain market and the load allocated to the individual cooperative global value chain market can be comprehensively evaluated from the aspects of entities and values. Such a comprehensive evaluation system is shown in fig. 6: in entity aspect, the load performance of the global value chain market allocation can be analyzed through the measured rationalization degree of the global value chain market allocation load. However, global value chain market allocation load is always linked to the capabilities of the terminal market allocation entity. To scientifically and reasonably evaluate the global value chain market allocation load condition, the capability condition of the terminal market allocation main body must be scientifically and reasonably evaluated, and various related qualitative factors need to be quantitatively judged.

The global value chain market allocation load condition evaluation indexes are more, the indexes can be divided into different levels, and the hierarchical level structure is shown in figure 7. An evaluated object (global value chain market allocation load) has certain ambiguity on certain indexes relative to the evaluation (moderate, high, low, too high and too low) of the terminal allocation subject capacity, and needs to be researched by using an ambiguity set theory.

Is provided withU = { u ₁ , u ₂ , …, _iu, …, _m uThe evaluation factor set (namely the index set) is adopted;V = { v ₁ , v ₂ , v ₃ , v ₄ , v ₅ } = { good, medium, poor, inferior } is an evaluation set, i.e., a set of evaluation grades; then the matrix is blurred

To evaluate the matrix.

Relative to the evaluation factor _i uIs a set of evaluation wordsVIs performed on the fuzzy subset.

γ _{i j} Is relative toiAn evaluation factor _i uAdministration of _j VDegree of membership of comment: ( j = 1 , 2 , 3 , 4 , 5 )。

UFuzzy subset on

Referred to as weights. Wherein _i aIs as followsiAn evaluation factor _i uCorresponding weight, and

, _iais more than or equal to 0. Fuzzy comprehensive evaluation

Is thatVA fuzzy subset of。

For global value chain market allocation load comprehensive evaluation, a multi-level fuzzy hierarchical price model needs to be established due to a lot of evaluation factors (indexes), as shown in fig. 8.

Setting a certain global value chain market allocation loadNEvaluating each element (resource node or configuration node), and selectingmA base element (idealized global value chain market allocation load) whereN >> m . The system is composed ofKThe basic level subsystems are evaluated by the evaluation elements of the subsystemsn ₁ , n ₂ , …, _in, …, _k nThen there is

。

If remember(ii) a The evaluated element of the market allocation load system is

P ₁ , P ₂ ,…, _NP ₁ ,…, _NP _{1 + 1},…, _NP ₂ ,…, _NP _{2 + 1},…, _{N i}P,…, _{N i}P _{+ 1},…, _{N k}P _{– 1}, _{N k}P _{– 1 + 1}, …, _{N k}P。

4. Description of the drawings

FIG. 1 illustrates:

one resource node for global value chainkIntensity allocated by market _dc _k, ( t ) And quantity of resources _k qBy product of this, we can determine a new base quantity:

this new base quantity may be referred to as a resource load. It is clear that,the higher the market allocation strength in general, the smaller the aggregate amount of resource elements. As shown in fig. 1. Rectangle 0 in the figure _d c _{k, 1 k}Aq ₁、0 _d c _{k , 2 k} Bq ₂And

0 _d c _{k , 3 k} Cq ₃the areas enclosed respectively represent three distributed quantities of the global value chain resource node.

FIG. 2 illustrates:

for the global value chain, the generalized commodity system and the multi-level value chain system are shown in fig. 2. According to the analysis established by the inventor, the value of the commodity is to meet the social necessary efficacy of the general supply and demand relationship of the society. There is a base of value at different levels as follows.

The value of the simple commodity lies in that the simple production meets the social essential effect of the general supply and demand relationship of the society:

V _simpl ：

, s. t.

；

the value of the composite commodity lies in that the composite production meets the social essential effect of the common supply and demand relationship of the society:

V _compl ：, s. t.

FIG. 3 illustrates:

the load unit of the final resource is shared by a generalized cooperative entity, and the generalized cooperative entity comprises four entities, namely an internal centralized organization cooperative entity, an internal distributed organization cooperative entity, an external centralized organization cooperative entity and an external distributed organization cooperative entity. Analysis of a hedge balancing configuration model between centralized organizational cooperation and decentralized organizational cooperation-a general hedge balancing configuration decision analysis model is shown in fig. 3.

The statistics of various types of SGCDs according to the generalized cooperative load method established by the inventor can be simply expressed as follows:

SGCD = SIDCC + SICCC + SEDCC + SECCC

+ ( SIDCX – SIDCM ) + ( SICCX – SICCM ) + ( SEDCX – SEDCM ) + ( SECCX – SECCM )

FIG. 4 illustrates:

based on the power modularity, and further based on the value modularity, the inventors propose DSS analysis to be performed around the resource configuration organization. Here, on the one hand, the various configurations on the system power chain and in its network are organized internally into three categories: d-rule setting entity (or rule set agent) in core position and playing leading role; I-System integration entity (or System-Integrated agent) in intermediate position and playing a key role; M-Module generating entity (or Module generating agent) that is in general and plays an ancillary role; on the other hand, the system efficacy chain and various configuration organizations in the network are divided into three types from the outside: g-a boundary interaction group (or agent of boundary interaction) in the surrounding environment and interacting; h-an external coordination center (or externally coordinated agent) that is at the external center and that performs coordination; w-an externally relevant group (or externally relevant agent) that is in an external hierarchy and plays a relevant role. The combination of DIM analysis and GHW analysis with DSS analysis can form a DSS/DO (DIM) paradigm, a DSS/DO (GHW) paradigm, and a DSS/DO (DG) paradigm. Internal DIM analysis and external GHW analysis of the natural resource configuration chain are shown in fig. 4.

FIG. 5 illustrates:

in all, the market allocation load of the new internet global value chain facing the 21 st century cannot be established on the basis of a pure title system and a pure business mode. The basic structure of the network cooperative configuration mechanism and the modern social-economic power system is shown in fig. 5. In order to bring benefits to not only the current generation of natural people but also the later generation of natural people between Nash balance and Pareto optimization, the internet global value chain market allocation load must be converted, and the internet global value chain market allocation load must be reproduced. To maintain the necessary tension between the maximum income of the current generation of natural people and the maximum income of the later generation of natural people, the key is to modify the structure and behavior of the existing internet global value chain market allocation load.

FIG. 6 illustrates:

based on the resource allocation dynamics, the holographic organization synergetics and the game organization synergetics principle established by the inventor, the internet resource allocation organization and the personal collaborative internet global value chain market allocation load can be comprehensively evaluated from the two aspects of entities and values.

Such a comprehensive evaluation system is shown in fig. 6. On the entity side, the method can analyze the property of the Internet resource allocation organization through the measured enhancement degree of the Internet global value chain market allocation load capacity. However, the ability of the internet global value chain market to deploy loads involves many vague qualitative factors such as autonomy, decision-making ability, risk tolerance, coordination, sense of responsibility, self-organization level, work efficiency, and the like. Quantitative determination of the qualitative factors is needed for scientifically and reasonably evaluating the load capacity condition of the internet global value chain market allocation.

FIG. 7 illustrates:

the global value chain market allocation load capacity assessment indexes of the internet are more, the indexes can be divided into different levels, and the hierarchical level structure is shown in fig. 7. The problem of load capacity evaluation of internet global value chain market allocation is shown in the figure, and relates to a plurality of factors such as decision-making capacity, risk bearing capacity, coordination capacity, asset relevance and the like. An evaluated object (Internet resource allocation organization or individual) has certain ambiguity relative to the evaluation (excellent, good, medium, poor and inferior) of the indexes, and needs to be researched by using an ambiguity set theory.

FIG. 8 illustrates:

for comprehensive evaluation of internet global value chain market allocation load capacity, a multi-level fuzzy hierarchical price model needs to be established due to a large number of evaluation factors (indexes), as shown in fig. 8. Setting certain Internet resource allocation organizationNThe individual is rated, selectedmPersonal benchmark (idealized internet global value chain market allocation load) whereN >> m . The system is composed ofKThe number of people evaluated in each basic level subsystem is respectivelyn ₁ , n ₂ , …, _in, …, _k nThen there is

. If remember

(ii) a The organization system is evaluated asP ₁ , P ₂ ,…, _NP ₁ ,…, _NP _{1 + 1},…, _NP ₂ ,…, _NP _{2 + 1},…, _{N i}P,…, _{N i}P _{+ 1},…, _{N k}P _{– 1}, _{N k}P _{– 1 + 1}, …, _{N k}P。

5. Detailed description of the preferred embodiments

The MA/GVC system to be developed and established is undoubtedly an advanced economic scientific and technical system, an advanced management scientific and technical system and an advanced system engineering theory and practice, and relates to the problems of wide range, large investment, long implementation period, high difficulty and certain risk, and a scientific method is needed to ensure the success of project implementation.

C1 global value chain market allocation project implementation planning

According to the global value chain organizational reality, the whole project is determined to be carried out in two stages:

the first stage mainly implements the system control, sales configuration, receivable configuration, logistics arrangement, payable configuration, inventory accounting, product data configuration (including global value chain structure configuration and process configuration), cost budget configuration (including cost configuration), financial project accounting, PDM data arrangement and demand analysis, hardware network environment construction and global value chain market configuration related to the inside and the outside of the global value chain market configuration. The period is about 12 months. The method mainly completes the integration of related logistics and fund flow inside and outside the global value chain market configuration, and the basic configuration is standard and transparent.

And the second stage is to integrate the production main planning, material demand planning, capacity balance, workshop project configuration, quality configuration, equipment metering configuration, human resource configuration, solution analysis and global value chain market configuration which are related inside and outside the global value chain market configuration. The period is about 16 months. The holographic collaborative organization mode mainly realizes that the market related to the inside and the outside of the global value chain market configuration is used as the demand, the main plan driven longitudinally and transversely is used as the core, and the input and output related to the inside and the outside of the global value chain market configuration is used as the main content, effectively controls the work-in-process, compresses the stock to the maximum extent, improves the delivery date and quickly meets the market demand.

Overall target for C2 market configuration

aFacilitating global value chain exchange with legacy based on implementation of global value chain market allocation projectsThe transition from a closed, low-efficiency and extensive configuration mode to a transparent, collaborative, normative and lean configuration mode supports the realization of the strategic goal of the global value chain.

bReinforcing the global value chain infrastructure. Establishing a standard global value chain market allocation internal and external associated data standard and a coding system, and promoting the global value chain foundation to be consolidated; product design and process file standardized configuration related to the inside and the outside of global value chain market configuration are enhanced; raw material consumption, working hours, capital occupation and equipment time-per-hour quota allocation related to the inside and the outside of global value chain market allocation are refined; standardizing global value chain production period standards related to the inside and the outside of global value chain market configuration; customer resource information configuration related to the inside and the outside of global value chain market configuration is enhanced; the cost expense and price configuration related to the inside and the outside of the global value chain market configuration are refined; and the carrying flow and role specification configuration related to the inside and the outside of the global value chain market configuration is enhanced.

cImprove configuration, decision-making methods. Information resource planning related to the inside and the outside of global value chain market allocation, data integration of each subsystem and global sharing of a database are realized; establishing a global value chain basic information structure which is related to the inside and the outside of the global value chain market configuration and comprises an integrated information network and a comprehensive and uniform data interaction format; configuring internal and external related complete inventory configuration and analysis in the global value chain market; global value chain market configuration internal and external associated process consumption cost accounting; configuring internal and external associated credit risk control and customer resource configuration in the global value chain market; the integrated application of the main system operation planning, the material demand planning and the order configuration driven longitudinally and transversely; configuring real-time cost accounting of internal and external associated sub-products by the global value chain market; fast quotation; carrying out profit budget and profit-loss balance analysis on the internal and external correlation of global value chain market configuration; and (4) online multidimensional data analysis and decision application support.

　　dBy global valueThe chain market allocation is standard, the system improves the global value chain allocation, supports the global value chain to carry out the system evolution, and forms transparent, open, cooperative, standard and lean global value chain culture.

Implementation content of C3 market configuration

aGlobal value chain market configurations internal and external associated logistics arrangements. The method is supported by a brand new information system, the requirements of the global value chain market configuration internal and external associated production systems are timely transmitted, and the method quickly reacts to the requirements of the global value chain market configuration internal and external associated production through information integration with the global value chain market configuration internal and external associated logistics systems, so that the complete set of the global value chain market configuration internal and external associated production materials is ensured. The global value chain market allocation system provides a demand plan of the internal and external associated production of the global value chain market allocation according to the system operation plan; the global value chain market configuration internal and external associated production system can inquire the complete set condition of raw materials and parts according to material planning and provide global value chain market configuration internal and external associated logistics arrangement planning; information such as delivery date, article quality and the like of internal and external associated suppliers configured in the global value chain market is used as the basis for evaluating the suppliers; integrating global value chain market configuration internal and external associated supplier evaluation results with distribution of logistics arrangement shares and payment policies; and establishing an information base of basic configurations such as global value chain market configuration internal and external related logistics arrangement period, economic batch, safety stock and the like, and providing a basis for timely guaranteeing material supply.

bGlobal value chain market deployments internal and external associated sales, inventory and production systems. The system operational plan is a schema file that directs the global value chain market to configure internal and external associated production activities. In order to guarantee the implementation of the system operation planning, material logistics arrangement planning, outside cooperation part planning, workshop project planning, equipment use planning and tooling mold planning which are related to the inside and the outside of the global value chain market configuration can be generated at the same timeAnd drawing a series of matched plans. The system operation plan and the plans are in the relation of outline and purpose, and outline can be referred to as a target.

cGlobal value chain market configuration internal and external associated cost configurations. Planning, accounting, controlling and configuring the production cost associated with the inside and the outside of the global value chain market configuration, establishing a section cost budgeting method associated with the inside and the outside of the global value chain market configuration, comparing the cost with the cost analysis in the affairs, leading the budgeting to be learned and accurate by sections step by step, and providing useful data for the global value chain organization decision-making.

dGlobal value chain market configurations internal and external associated due configurations. The payable subsystem which is arranged inside and outside the global value chain market is mainly used for configuring various interactive funds between the global value chain and a supplier in the operation process, effectively helping a global value chain configurator master the flow direction of funds, controlling the outflow of the funds of the global value chain by monitoring the payment condition and forming a good cycle of the mobile funds. The payable subsystem associated internally and externally to the global value chain market configuration fills out invoices, taxes and logistics arrangement fees based on the occurrence of the logistics arrangement activity, or may directly invoke orders generated by the logistics arrangement subsystem. The invoice amount and the warehousing material are shared, and the payment condition of the warehousing material can be determined. After the invoice is posted, an account receivable is generated, the payment bill and the account receivable are settled, the paid amount and the unpaid amount are determined, and meanwhile, the prepayment can be processed. In order to master future fund flow situations in real time, the system related to the inside and the outside of the global value chain market configuration also provides rich inquiry statistical functions and is integrated with a logistics arrangement subsystem and an accounting subsystem related to the inside and the outside of the global value chain market configuration for use.

eGlobal value chain market configurations internal and external associated receivable configurations. The global value chain organization realizes the data between the financial project departments and the sales departments which are related inside and outside the global value chain market configuration through the application of the global value chain market configuration systemSharing, namely finishing the communication of data information on the network; the income accounting form money of the financial item department related to the inside and the outside of the global value chain market allocation is registered by taking the sales invoice of the sales department as the basis; the income accounting form money of the inside and outside correlation of global value chain market configuration is collected according to the current user. The internal and external related collection and sale invoices of the global value chain market configuration are determined according to the data, and the flow source is determined. Each account receivable can be appointed when the payment is returned for settlement, so that the income accounting form age and the pre-receivable account age can be reflected timely and accurately, and the income accounting form age and the pre-receivable account age can be analyzed, and the returned account age can also be analyzed.

A global value chain system engineering technology cluster development overall strategy which is a strategy called 'opening the world' plan is put forward based on a series of independently and freely completed major creative academic research results.

The overall strategic goals of the global value chain network technology support system can be summarized as follows:

1. in the basic aspect of technical development (the front end of an ICT industrial chain), a multi-level multi-mode global value chain system (GVC) is taken as a core, connection and coordination of natural intelligence and artificial intelligence based on a computer and a network thereof are taken as a main line of an upgrading process of a general Intelligent Integrated System (IIS), a brand-new logic foundation, a mathematical foundation, a scientific foundation and a brand-new technical foundation and engineering foundation are established, a relatively closed and relatively static 'resource pool' -cloud computing network is injected with soul, intelligence and life, a global intelligent integrated network computer system (CS/HSN (GII) is built, and the global Internet is created into a technical support system which really has a life and ecological holographic synergetic organization.

2. In the application aspect of brand-new technology (at the end of an ICT industrial chain), a global value chain system (GVC) with multi-level and multi-mode is taken as a core, the method is characterized in that connection and coordination of a cognitive system and a practice system based on a computer aided system and the Internet are used as a main line of an evolution process of a high-level intelligent integrated system (HIIS), an intelligent integrated scientific and technological system (IIS & IIT) based on a completely new scientific theory of a meta-system (MS) is established, a novel global Internet endowed with life vitality is integrated with a logistics network, an energy network, a financial network and a knowledge network which are scattered in all the fields around the world into a whole (DCN), a global value chain system project is vigorously carried out, and a global intelligent integrated dynamic convergence network system (DCN/HII (GVC)) with a real life and ecological holographic synergetic organization is established, so that an intelligent integrated network, a life Internet and an ecological operation network are built.

By implementing a global value chain system engineering technology cluster to develop a general strategy, which is called as a 'open the earth' plan by the inventor, an overlooked 'cloud' computing system is transformed into a 'heaven and earth' computing system which can be used for connecting everything and runs through longitude and latitude. The cloud computing revolution is based on the world computing revolution, a multi-level multi-mode global value chain system is taken as a core, a modern electronic technology, a modern communication technology and a modern information network technology are taken as a support basis, a logistics network, an energy network, an information network, a financial network and a knowledge network are tightly combined, and an intelligent integrated dynamic converging network large system which is efficient, intensive and has life (or ecological) self-organization property is established.

Claims (7)

1. The independent claim, namely an ICT technical support design for global value chain market allocation load, is a new technique proposed by the applicant by establishing a basic model and a paradigm of network allocation dynamics, with internet users as the center, further with a global value chain system (GVC) as the center, and with connection and coordination of natural intelligence and artificial intelligence based on computers and their networks as the main line of a general Intelligent Integrated System (IIS) upgrade process, in order to transform an erratic "cloud" computing system into a "heaven-earth" computing system which links everything and runs through longitude and latitude, based on establishing a brand new logic foundation, a brand new mathematical foundation, a brand new scientific foundation, and a brand new technical foundation and a brand new engineering foundation, and the present invention is characterized in that:

A. for ICT technical support of a global value chain market allocation mechanism, a brand new logic basis comprises holographic convergence logic, bipolar convergence logic and bipolar holographic convergence logic; the brand new mathematics foundation comprises holographic convergent mathematics, dipolar convergent mathematics and system transition analytical mathematics; the brand new scientific basis comprises resource allocation dynamics, holographic organization synergetics, a system efficacy value theory, game organization synergetics, hedging balance economics, holographic confluent physics and through science (cross science and transverse science) formed by the large synthesis of a series of brand new theories, namely element system science and intelligent integration science; the brand new technology base is a brand new system technology (cluster) taking a value chain system as a core and oriented to holographic cooperativity; the brand new engineering foundation is a brand new system engineering (cluster) taking a value chain system as a core and oriented to holographic cooperativity;

B. for ICT technical support of the global value chain market allocation mechanism, "heaven and earth" computing is an extremely complex system in itself, with a very complex holographic collaborative organization structure, where, on the one hand, various computers and their infrastructures, attached devices and network devices (including servers, browsers) are connected in a holographic collaborative organization mode (including ICC, ICK, ICH, IDC, IDK, IDH, IMC, IMK, IMH, ECC, ECK, ECH, EDC, EDK, EDH, EMC, EMK, EMH) to form a computer-internetwork organization; on the other hand, various users and their efficacy chains are connected in a holographic collaborative organization mode (including ICC, ICK, ICH, IDC, IDK, IDH, IMC, IMK, IMH, ECC, ECK, ECH, EDC, EDK, EDH, EMC, EMK, EMH) to form a natural intelligent socialization organization, which together with the computer interconnection network organization forms the "world" computing system CS/hsn (gii) referred to by the inventor;

C. for ICT technical support of a global value chain market allocation mechanism, establishing a dynamic basis of market allocation load design, and further establishing a technical principle of the market allocation load design;

D. for ICT technical support of a global value chain market configuration mechanism, introducing appropriate various basic cooperative variables for respectively reflecting basic power, basic load, basic efficiency, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptive system, and establishing an engineering concept and a technical scheme of market configuration load.

2. Dependent claims-for global value chain, the inventors set up a metric basis for market allocation load according to independent claim 1, the present claim being characterized by:

because the value chain system can be divided into five levels, namely a product value chain system PVC, a global value chain system EVC, an industrial value chain system IVC, a national economic value chain system NVC and a global economic value chain system GVC, various generalized loads in the market configuration system can be correspondingly divided into five levels, namely:

CSC (MA/PVC) of a complex system configured in the PVC reproduction market;

EVC reproduction market configured Complex System loads CSC (MA/EVC);

complex system load CSC (MA/IVC) configured by IVC reproduction market;

NVC reproducing market configured complex system loads CSC (MA/NVC);

GVC reproduces complex system loads CSC (MA/GVC) deployed in the market;

for a MA/GVC organization nodei Allocation of tissue strength from material resources _DiC _M, ( t ) And amount of material resources allocated _i Q _{M ,} Product of, information resource allocation organization strength _DiC _I, ( t ) And information resource allocation quantity _i Q _{I ,} Sum of volume and mental resource allocation organizational strength _DiC _S, ( t ) And amount of mental resource allocation _i Q _{S ,} By product of this, we can determine a new base quantity:

， ( 1. 1. 55 )

this new base quantity may be referred to as global value chain market allocation organizational load;

for global value chain resource strengthening load (force) as described by the following differential equation

( 1. 4. 34 )

The general form of global value chain resource strengthening load (force) can be written as:

( 1. 4. 34 )

wherein, _SC X[ OCT, HSS ]and _EC X[ OCT, HSS ]respectively strengthening load of global value chain system resources and strengthening load of global value chain environment resources:

, ( 1. 4. 35 a )

( 1. 4. 35 b )

while _MRX _{, OAH}, _ERX _{, OAH}, _IRX _{, OAH}, _KRX _{, OAH}And _SRX _{, OAH}respectively material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment.

3. Dependent claims for global value chain, the inventor of independent claim 1 establishes the basic dynamic constraint relationship of market allocation load design, the present claim is characterized in that:

the operational load of the global value chain user market allocation subject must be adapted to the bearing capacity of the global value chain user market allocation subject structure, i.e. the operational load of the global value chain user market allocation subject structure is adapted to the bearing capacity of the global value chain user market allocation subject structure

| _UMM M( t ) – _UMM F( t ) | <ε _M ( 2. 197 )

This can be regarded as the first principle of the dynamics of the global value chain user market allocation main structure; whereinεIs any decimal number;

further, there are several requirements:

the operational load of the market allocation body must be adapted to the bearing capacity of the market allocation body structure, i.e. the market allocation body structure

| _UMD M( t ) – _UMD F( t ) | <ε _MD

The operational load of the market transporting body must be adapted to the bearing capacity of the structure of the market transporting body, i.e. the load capacity of the market transporting body is adjusted to the load capacity of the structure of the market transporting body

| _UMC M( t ) – _UMC F( t ) | <ε _MC

The operational load of the market-processing body must be adapted to the load-bearing capacity of the market-processing body structure, i.e. the load-bearing capacity of the market-processing body structure is adapted to the load-bearing capacity of the market-processing body structure

| _UME M( t ) – _UME F( t ) | <ε _ME

The operational load of the market innovation subject must be adapted to the bearing capacity of the market innovation subject structure, i.e. the load-bearing capacity of the market innovation subject structure is adapted to the load-bearing capacity of the market innovation subject structure

| _UMB M( t ) – _UMB F( t ) | <ε _MB

Between the operation of the global value chain user market allocation subject and the infrastructure of the global value chain user market allocation subject, the load is mainly composed of the operation force and the operation load of the global value chain user market allocation subject, and is recorded as _UM M( t) I.e. by _UM M( _UMM M( t )， _UMM F( t) ); the bearing capacity is mainly carried by the surrounding environment _UMM E( t) And centralize the coordination of bearing capacity _UMM C( t) Are formed jointly and are recorded as _UMM B( t) I.e. by _UMM B( _UMM E( t )， _UMM C( t ))；

Under the condition that basic dynamic effect restriction conditions and basic dynamic effect factor restriction conditions, environmental dynamic effect restriction conditions and environmental dynamic effect factor restriction conditions, external dynamic cooperation restriction conditions and external dynamic cooperation factor restriction conditions, internal dynamic cooperation restriction conditions and internal dynamic cooperation factor restriction conditions are given, basic equations, typical equations and dominant equations which are generated and developed reasonably are established, basic equations, typical equations and dominant equations which are maintained and quit non-reasonably are established, and global value chain market allocation organizations and mutual substitution thereof are analyzed.

4. Dependent claims-for global value chain market allocation, the inventors have established core content and characterization of market allocation payload design according to independent claim 1, this claim being characterized by:

the various categories of SGKD are statistically expressed in terms of generalized competitive loading methods established by the inventors as set forth in independent claim 1, and can be simply expressed as:

SGKD = SIDKC + SICKC + SEDKC + SECKC

+ ( SIDKX – SIDKM ) + ( SICKX – SICKM ) + ( SEDKX – SEDKM ) + ( SECKX – SECKM )

the variables in this formula are defined and explained in the description of the invention according to independent claim 1;

the statistics of the various classes of SGKD according to the generalized competitive depletion method proposed by the present inventors as set forth in independent claim 1 can be simply expressed as:

SGKD = SIDKW + SICKW + SEDKW + SECKW + ( SIDKWX – SIDKWM )

+ ( SICKWX – SICKWM ) + ( SEDKWX – SEDKWM ) + ( SECKWX – SECKWM )

the variables in this formula are defined and explained in the description of the invention according to independent claim 1;

the global value chain configuration load can be regarded as being composed of

(A1) Global value chain market allocation load of external/internal centralized coordination type (c/ _UMB C ₁ ）

(A2) Global value chain market allocation load of the external centralized coordination/internal decentralized coordination type ( _UMB C ₂ ）

(A3) Global value chain market allocation load of external centralized coordination/internal distributed coordination type ( _UMB C ₃ ）

(A4) Global value chain market allocation load of external decentralized coordination/internal centralized coordination type (c:) _UMB C ₄ ）

(A5) Global value chain market allocation load of the external decentralized coordination/internal decentralized coordination type ( _UMB C ₅ ）

(A6) Global value chain market allocation load of external decentralized coordination/internal decentralized coordination type ( _UMB C ₆ ）

(A7) Global value chain market allocation load of external centralized coordination/internal centralized coordination type ( _UMB C ₇ ）

(A8) Global value chain market allocation load of the external/internal decentralized coordination type ( _UMB C ₈ ）

(A9) Global value chain market allocation load of external/internal collective and distributive collaboration type ( _UMB C ₉ ）

The global value chain load formed by the above-mentioned components can be recorded as _{M gen} C(ii) a Namely:

_{M C gen}C = < _{M gen} C, ψ _{M C gen} >

_{M gen}C = { _UMB C ₁ , _UMB C ₂ , _UMB C ₃ , _UMB C ₄ , _UMB C ₅ , _UMB C ₆ , _UMB C ₇ , _UMB C ₈ , _UMB C ₉ }

wherein,ψ _{M S gen} as a function of general co-organizational structure.

5. Dependent claims-for global value chain market allocation, the inventors have established a dynamic model of the market allocation load according to independent claim 1, this claim being characterized by:

the MA/GVC system is provided withnAn intelligent configuration organization (node) with a degree of freedom ofeTherefore, geteA generalized secondary ensemble analysis coordinate ofξ ₁ , ξ ₂ , ···, ξ _e (ii) a The coordinate transformation relation should be

，

，

； ( 1. 4. 106 )

The sum of each organization node is carried out, and the bearing kinetic energy of the MA/GVC system environment

( 1. 4. 107 )

Wherein _OAHV = _OAHd h / d t Is as follows;

the bearing potential energy of the MA/GVC system environment can be regarded as a function of the number change quantity of all the individuals in the intelligent integrated form on different freedom degrees of activities, namely

( 1. 4. 108 )

Corresponding to a generalized load bearing capacity of

( 1. 4. 109 )

The following functional relationship can be given:

( 1. 4. 110 )

function(s) _ECK _{OAH n , ;} Can be referred to as environment bearerAnalyzing the mechanical basic function.

6. Dependent claims-for global value chain, the inventors have established an engineering concept for market allocation load design according to independent claim 1, the present claims being characterized by:

MA/GVC configuration concept

C1, embodying the idea of effectively configuring the whole GVC efficacy chain resource;

c2, embodying the ideas of community of interest arrangement, synchronous engineering and camera choice operation;

c3, embodying the thought of planning in advance and controlling in the incident;

c4, embodying the idea of carrying flow configuration, in order to improve the competitive advantage, cooperation advantage and coordination advantage of the global value chain internal and external association, the reform of the global value chain internal and external association carrying flow is brought, and the use of the global value chain internal and external association system application program must be adjusted correspondingly along with the change of the carrying flow;

the core configuration idea of the MA/GVC is to realize effective configuration of the whole global value chain, which is mainly embodied in the following three aspects:

c1 idea of configuring global value chain resources

C2 idea of embodying lean flow, synchronous engineering and agile generation

C3 idea of planning in advance and controlling in the middle

In addition, planning, department processing, control and decision-making functions are all realized in the department processing flow of the whole global value chain, the enthusiasm of the stakeholders is required to be exerted to the maximum extent in the processing process of each flow, and the cooperation spirit among the stakeholders is emphasized among the flows so as to fully exert the motility and the potential of each participant in an organic organization; the transformation of global value chain configuration from a high-rise organizational structure to a flat organizational structure is realized, and the response speed of the global value chain to market dynamic change is improved.

7. Dependent claims-for global value chain, the solution of the inventor to establish a market allocation load design according to independent claim 1, the present claims being characterized by:

from the perspective of internal collaborative organizational relationships, global value chain market allocation loads can be divided into the following 9 seed types:

market-configured load of an internal centralized collaborative type global value chain organization network URN (on, oc, os, [ ICC ])

Market allocation load of internal centralized competition type global value chain organization network URN (on, oc, os, [ ICK ])

Market allocation load of internal centralized coordination type global value chain organization network URN (on, oc, os, [ ICH ])

Market allocation load of internal decentralized cooperation type global value chain organization network URN (on, oc, os, [ IDC ])

Market allocation load of internal decentralized competition type global value chain organization network URN (on, oc, os, [ IDK ])

Market allocation load of internal decentralized harmonization type global value chain organization network URN (on, oc, os, [ IDH ])

Market allocation load of internal distributed cooperation type global value chain organization network URN (on, oc, os, [ IMC ])

Market allocation load of internal distributed competition type global value chain organization network URN (on, oc, os, [ IMK ])

Market allocation load of internal distributed coordination type global value chain organization network URN (on, oc, os, [ IMH ])

From the perspective of external collaborative organizational relationships, global value chain market allocation loads can be divided into the following 9 seed types:

market allocation payload for external centralized cooperation type global value chain organization network URN (on, oc, os, [ ECC ])

Market allocation payload for external centralized competitive global value chain organization network URN (on, oc, os, [ ECK ])

Market allocation load of external centralized coordination type global value chain organization network URN (on, oc, os, [ ECH ])

Market allocation load of external decentralized cooperation type global value chain organization network URN (on, oc, os, [ EDC ])

Market allocation load of external decentralized competitive global value chain organization network URN (on, oc, os, [ EDK ])

Market allocation payload for external decentralized harmonization type global value chain organization network URN (on, oc, os, [ EDH ])

Market allocation load of external distributed cooperation type global value chain organization network URN (on, oc, os, [ EMC ])

Market allocation load of external distributed competition type global value chain organization network URN (on, oc, os, [ EMK ])

Market allocation load of external distributed coordination type global value chain organization network URN (on, oc, os, [ EMH ])

Setting a certain global value chain market allocation loadNEvaluating each element (resource node or configuration node), and selectingmA base element (idealized global value chain market allocation load) whereN >> m (ii) a The system is composed ofKThe basic level subsystems are evaluated by the evaluation elements of the subsystemsn ₁ , n ₂ , …, _in, …, _k nThen there is；

If remember

(ii) a The evaluated element of the market allocation load system is

P ₁ , P ₂ ,…, _NP ₁ ,…, _NP _{1 + 1},…, _NP ₂ ,…, _NP _{2 + 1},…, _{N i}P,…, _{N i}P _{+ 1},…, _{N k}P _{– 1}, _{N k}P _{– 1 + 1}, …, _{N k}P。

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