CN102724267A - Industry value chain planning configuration transformation generation ICT technology support design - Google Patents

Industry value chain planning configuration transformation generation ICT technology support design Download PDF

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CN102724267A
CN102724267A CN2011103472570A CN201110347257A CN102724267A CN 102724267 A CN102724267 A CN 102724267A CN 2011103472570 A CN2011103472570 A CN 2011103472570A CN 201110347257 A CN201110347257 A CN 201110347257A CN 102724267 A CN102724267 A CN 102724267A
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李宗诚
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Abstract

An Industry value chain planning configuration transformation generation ICT technology support design is a new technology established through establishing a network configuration dynamics base model, a normal form and an equation system, and a game organization synergetics base model, the normal form and the equation system, wherein the technology is based on establishing brand new logic, mathematics and science; a '' cloud '' calculating system is reconstructed into a '' universe '' calculating system which has connection with everything, an Internet user is taken as a center, and then a multi-level global value chain (GVC) is taken as the center, and combination and coordination performed by 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 integration system (HIIS).

Description

ICT technical support design generated by industrial value chain planning configuration conversion
Technical Field
The invention is 326 of 600 patent clusters (collectively named "value chain system engineering network support system [ DCN/VCSE, 2011 ]") which are officially submitted to the national patent office by an electronic system after the applicant has been laine honest and 30.10.2011.
The 321 th item, the 322 th item, the 323 th item, the 324 th item, the 325 th item, the 327 th item, the 328 th item, the 329 th item, the 330 th item, the 331 th item, the 332 th item, the 333 th item, the 334 th item, the 335 th item, the 336 th item, the 337 th item, the 338 th item, the 339 th item, the 340 th item in an invention and invention patent cluster (overall name is "value chain system engineering network technology support system [ DCN/VCSE, 2011") "together form an invention patent group" industrial value chain planning configuration ICT technology support system (ICT-PA/IVC, 2011 ").
The applicant provides a value chain system engineering network support system [ DCN/VCSE, 2011 ] composed of 600 patents including the invention of the invention, the 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 a General Intelligent Integrated System (GIIS) upgrading process, 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 are established, a relatively closed and relatively static 'resource pool' -a cloud computing network injects soul, intelligence and life, a global intelligent integrated collaborative network computer system (CS/HSN (GII)) is established, and the global Internet is created into a technical support system which has the property of life and ecological holographic collaborative 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 technology system (IIS & IIT, 2011) 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 distributed in various departments in various fields around the world, a global value chain system project is vigorously pursued, 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. A global value chain system engineering technology cluster is implemented to develop a general strategy called as a 'open the earth' plan, and a careless 'cloud' computing system is transformed into a 'heaven and earth' computing system which can link everything and run through longitude and latitude.
The invention mainly aims to provide an ICT network docking technology of an intelligent integrated function for industrial value chain planning and configuration through 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.
The invention belongs to the field of network technical support for planning configuration, planning organization and planning management (PA/IVC) of an industrial value chain, is an intelligent integrated technical basis for planning and configuring systems of the industrial value chain and further the industrial value chain, and is a key for guiding people, organizations and organizations from ever-changing 'clouds' (computing systems) to 'heaven and earth' (brand-new computing systems) which are conflated with everything.
The PA/IVC is a solution of industrial value chain system engineering, which introduces the service strategy and operation mode of industrial value chain into the whole internal and external association system of industrial value chain planning configuration using information system as main body by means of new information technology and network technology, and it not only is a technology change, but also involves the comprehensive integration and configuration of all the inter-regional or inter-national flows of personnel, capital, logistics, manufacturing and industrial value chain organization related to the internal and external of industrial value chain organization.
The PA/IVC is industrial value chain configuration software which integrates material resource configuration (logistics), human resource configuration (human flow), capital resource configuration (financial flow) and information resource configuration (information flow) aiming at the internal and external association of industrial value chain planning configuration. The next generation of longitudinal association department, transverse association department and Value Resource Planning (VRP) software are described by carrying out DIM analysis and Lizong honest on rule designers, system integrators and module generators which are oriented to internal and external association of planning configuration of the industrial value chain and providing SHF analysis on final consumers, social regulation mechanisms and relatives at home and abroad which are oriented to the internal and external association of the planning configuration of the industrial value chain. The system comprises a user/service system architecture which is associated with the inside and the outside of the planning configuration of the industrial value chain, uses a graphical user interface and applies open system manufacturing. In addition to the existing standard functions, it also includes other characteristics, such as the quality of the internal and external association of the industrial value chain planning configuration, the process operation configuration, and the adjustment report of the internal and external association of the industrial value chain planning configuration. In particular, the underlying technology employed by the PA/IVC will provide both internal and external independence of associated user software and hardware for industrial value chain planning and thus will be more easily upgraded. The key to PA/IVC is that all users associated inside and outside the industrial value chain planning 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 the increasing financial risk, the market competition is further intensified, the competition space and range of the industrial 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 comprehensive allocation of resources inside an industrial 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 for PA/IVC.
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 a multi-level multi-mode Value Chain System (VCS) is used as a core, from a product value chain PVC (product value chain), an industrial value chain IVC (product value chain), to an industrial value chain IVC (industrial value chain), to a regional value chain RVC (regional value chain), to a national value chain NVC (national value chain) and a global value chain GVC (global value chain) are used as cores, and 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 an industrial value chain, the applicant establishes 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, aims to modify a neglected and uncertain 'cloud' computing system into a 'heaven-earth' computing system which can be communicated with all things and can run through longitude and latitude, insists on taking a global value chain system as a core, and establishes a dynamic foundation for planning and configuring an intelligent integration function relationship by 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 principal line of an evolution process of a high-level intelligent integration system (HIIS).
In the aspect of discussing the dynamic relationship of the socialized internal cooperative factors of the industrial value chain planning configuration, the inventor considers the internal support factors and the internal strengthening factors introduced into the large system of the industrial value chain planning configuration, and considers the establishment of a trend factor equation set based on the internal dynamic factors and a development factor equation set based on the internal cooperative factors. For a large industrial value chain planning and configuration system, on one hand, a practice process and a cognition process are separated and integrated in internal specialization and internal division to form an internal power factor; on the other hand, division and layering of internal specialization and internal division occur in the practice process and the cognition process to form internal cooperative factors. For the main body of the industrial value chain planning configuration identity, an industrial value chain planning configuration function can be established to express the relationship between the intelligent integrated organization of the industrial value chain planning configuration and the resource configuration force and the technical level. Under the given time constraints, knowledge is determined by the division level. From the allocation of time among different project (task) resource configurations, the level of specialization can be determined. The level of expertise of the intelligent integrated organization for industrial value chain planning configuration should be a function of the level of individual expertise of the industrial value chain planning configuration. With the evolution of specialization and division of labor, the industrial value chain planning and configuration agent evolves from the same main body of industrial value chain planning and configuration to become an industrial value chain planning and configuration separation main body, and then evolves to become an industrial value chain planning and configuration intelligent integration main body. And for the internal power factor, establishing basic power analysis and basic effect analysis of the industrial value chain planning configuration separation on one hand, and establishing basic power analysis and basic effect analysis of the industrial value chain planning configuration on the other hand. And establishing specialized basic kinetic analysis and basic effect analysis for the internal synergistic factors on one hand, and establishing division of labor basic kinetic analysis and basic effect analysis on the other hand. For internal power factors, the inventors will establish a system of separation trend factor and integration trend factor equations. For internal cofactors, the inventors established a system of longitudinal and lateral growth factor equations. A new analysis established in this book will show that: for all activities of an intelligent integrated main body configured for industrial value chain planning, phenomena which can be called as 'basic endogenous longitudinal (or transverse) comparative superiority' and 'basic endogenous longitudinal (or transverse) comparative superiority' exist between basic dynamic effects before and after specialization and between basic dynamic effects before and after specialization respectively, and the phenomena relate to resource configuration and resource load before and after specialization, system benefit and system cost, and environmental load before and after specialization, ecological benefit and ecological cost. For all activities of the intelligent integrated body configured by the industrial value chain planning, phenomena which can be called as 'basic exogenous longitudinal (or transverse) comparative superiority' and 'basic exogenous longitudinal (or transverse) comparative superiority' exist respectively between the basic dynamic effects before and after the technical progress (or knowledge progress, innate improvement) and between the basic dynamic effects before and after the technical progress (or knowledge progress, innate improvement), and the phenomena relate to resource configuration and resource load before and after the technical progress (or knowledge progress, innate improvement), system benefit and system cost, and environmental load before and after the technical progress (or knowledge progress, innate improvement), ecological benefit and ecological cost.
(1.1) generally speaking, the input elements of the intelligent integration of the industrial value chain planning configuration comprise material resources, energy, information, knowledge and industrial value chain planning configuration resources. In particular, in the production field, the input elements of intelligent integration of industrial value chain planning configuration are mainly land, capital, labor force and entrepreneurial energy.
A certain dependency relationship exists between input elements and final results in the industrial value chain planning and configuration intelligent integration process, and the relationship can be described as an IVC planning and configuration intelligent integration function mathematically. The IVC planning and configuration intelligent integration function describes a function of the dependency relationship between the number of input elements of the industrial value chain planning and configuration intelligent integration and a certain combination and the maximum number of achievements which can be generated by the combination on a certain technical level, and is the generated quantity obtained by an organization or an individual of the industrial value chain planning and configuration intelligent integration main body under a certain input product combination. Because any improvement of the industrial value chain planning configuration intelligent integration mode (such as an industrial value chain planning configuration technology and an industrial value chain planning configuration intelligent integration scale) can cause a new industrial value chain planning configuration input generation relation, different IVC planning configuration intelligent integration functions represent different industrial value chain planning configuration intelligent integration methods and technical levels. In other words, technological advancements have driven resource elements to be utilized in a more powerful and efficient manner.
To be provided withQRepresents the total amount of the produced product,MEIKI t representing the five basic elements of quality, energy, information, knowledge and industrial value chain planning configuration respectively, the general expression of the intelligent integration function can be written as:
( 1. 5. 1 )
the assumption behind the IVC planning configuration of intelligent integrated functions implies one: it is efficient to arrange the configuration and utilization of all the investment elements reasonably in the industrial value chain planning and configuration intelligent integrated subject activities. The total generated quantity refers to the maximum number of achievements which can be generated by an industrial value chain planning and configuration intelligent integrated subject organization or an individual through a certain input element combination, or the relation reflected by the IVC planning and configuration intelligent integrated function is based on the premise that all input elements are effectively configured and utilized under the reasonable arrangement of the industrial value chain planning and configuration intelligent integrated subject activities. Therefore, if a combination of certain elements brings the generation amount required by the intelligent integration function of the IVC planning configuration, we can refer to the intelligent integration of the industrial value chain planning configuration as being technically efficient.
The reason for this assumed rationality is that: on one hand, an intelligent integrated main organization or an individual is configured by industrial value chain planning aiming at survival and development, and a way for achieving the highest possible generation amount is always searched; on the other hand, industrial value chain planning configuration intelligent integration main organization or individuals which cannot meet the requirement are inevitably eliminated in natural selection and social selection.
In the intelligent integrated main body activities of industrial value chain planning configuration in different activity fields, the matching proportion of various generated elements is different. The proportion of the various production elements required to produce a certain amount of a certain industrial value chain planning configuration result may be referred to as a technical coefficient. The technical coefficients may be fixed or may vary. In general, the technical coefficients are variable.
Typical IVC planning configuration intelligent integration functions can be listed as follows:
a1 the IVC planning configuration intelligent integration function with fixed technology coefficients may be referred to as a fixed-scale IVC planning configuration intelligent integration function, for example, in the following simple form:
Figure DEST_PATH_RE-DEST_PATH_IMAGE004
( 1. 5. 2 )
here, the industrial value chain planning configuration intelligent integrationyIs thatx 1 Andx 2 the function of (a), at which time no substitution can be made between the input elements, any particular level of industrial value chain planning configuration intelligence integration quantity requires a particular combination of input elements. Only by increasing the investment of the various elements in the same proportion is it possible to increase the number of results.
A more specific fixed-scale IVC planning configuration intelligent integration function can be written in the form:
Figure DEST_PATH_RE-DEST_PATH_IMAGE006
( 1. 5. 3 )
the form illustrates that the intelligent integration of the industrial value chain planning configuration islA ratio ofK 1/ α 1 , K 2/ α 2 , ···, K l / α l Is measured.lThe seed production elements are kept at a fixed ratio. In this form, various production elements cannot be substituted for one another.
The IVC planning configuration intelligent integration function with variable technical coefficients can be called a variable-proportion IVC planning configuration intelligent integration function. When the two generation elements can be completely replaced, the function configures an intelligent integration function for the linear IVC planning; when the two generated elements are not completely replaced, the function configures an intelligent integration function for nonlinear IVC planning.
Due to the existence of the IVC planning and configuration intelligent integration function with variable proportion, the industrial value chain planning and configuration intelligent integration main organization or the individual can generate the same amount of results by using different input proportions. With the continuous progress of the technology, the intelligent integration function of the IVC planning configuration can be changed.
A2 homogeneous IVC planning configuration intelligent integration function
Intelligent integration function for IVC planning configuration
Figure DEST_PATH_RE-DEST_PATH_IMAGE008
If all the generating elements of the investment are changedλThe quantity of planning and configuration results of the industrial value chain changes in the same directionλ n Double, i.e.
Such IVC planning configuration intelligent integration functions may be referred to as homogeneous IVC planning configuration intelligent integration functions. In particular ifn= 1, such a function configures an intelligent integration function for linear homogeneous IVC planning.
A more typical homogeneous IVC planning configuration intelligent integration function can be written as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE012
( 1. 5. 4 )
in the formula,Arepresents a given industrial value chain planning configuration technology level;K 1 andK 2 generating elements for two kinds, and replacing each other by incomplete replacement;αandβthe two generation elements respectively contribute to the quantity of the planning configuration results of the industrial value chain, wherein 1< α< 0,1 < β< 0。
(1.2) now assume a complex systemSConfiguring an intelligent integrated subject activity system for industrial value chain planning, comprisinglA resource node (k = 1, 2, ···, l ),mEach of the configuration nodes (or configuration agents,j = 1, 2, ···, m),ntissue node (i = 1, 2, ···, n ) Is provided withWSpecies resource (w = 1, 2, ···, W ) A single industry value chain planning and configuration activity (task, work or function process including practice and cognitive activities) is performed, which has phase spacesAnd (4) a plurality of degrees of freedom.
For an industrial value chain planning configuration intelligent integrated subject activity,
first, thek ( k = 1, 2, ···, l ) A resource node can be regarded asW k Aggregation of seed resources: (w k = 1, 2, ···, W k ),
First, thej ( j = 1, 2, ···, m ) The individual configuration nodes can be considered as the subject of the same PA/IVC activity (task, project work or functional process),
first, thei ( i = 1, 2, ···, n ) The individual organization nodes can be regarded as PA/IVC intelligent integrated main organization or individuals.
In the initial stage of the activity of the PA/IVC intelligent integrated subject, no matter individual resource nodes, configuration nodes and organization nodes, or partial resource nodes, configuration nodes and organization nodes, or all resource nodes, configuration nodes and organization nodes, it is possible to become the acting object, the input resource or the element combination of the PA/IVC intelligent integrated subject (organization or individual). Obviously, there are mainly three cases here:a ) Only individual resource nodes, configuration nodes and organization nodes become PA/IVC intelligent integrationThe subject, input resource or combination of elements of the subject body (tissue or individual);b ) Only part of the resource nodes, the configuration nodes and the organization nodes become the action objects, the input resources or the element combinations of the PA/IVC intelligent integrated main body (organization or individual);c ) All resource nodes, configuration nodes and organization nodes become the action objects, input resources or element combinations of the PA/IVC intelligent integrated main body (organization or individual).
In the stage of completing the activity of the PA/IVC intelligent integration subject, no matter individual resource nodes, configuration nodes and organization nodes, or partial resource nodes, configuration nodes and organization nodes, or all resource nodes, configuration nodes and organization nodes, it may become the result (including practical result and cognitive result) of the PA/IVC intelligent integration subject (organization or individual) or a component of the result. Obviously, there are mainly three cases here:a ) Only individual resource nodes, configuration nodes and organization nodes become achievements (including practical achievements and cognitive achievements) or constituent parts of achievements of a PA/IVC intelligent integration main body (organization or individual);b ) Only part of the resource nodes, the configuration nodes and the organization nodes become achievements (including practical achievements and cognitive achievements) of a PA/IVC intelligent integrated main body (organization or individual) or forming parts of the achievements;c ) All resource nodes, configuration nodes and organization nodes become achievements (including practical achievements and cognitive achievements) or components of achievements of a PA/IVC intelligent integrated subject main body (organization or individual).
For PA/IVC intelligent integrated subject activities, we can consider the following two processes:
a1 complete unification (PA/IVC unification)
For PA/IVC intelligent integrated subject activities, complete identity refers to an extreme case: in a certain PA/IVC intelligent integrated subject activity big system, all PA/IVC intelligent integrated subject organizations or individuals are in a certain periodAll engaged in the same PA/IVC activity (task, project work or functional process). In this case, the practice activity and the cognitive activity are not distinguished, and the number of the types of the activitiesV = 1。
If we are engaged in an activityvShare of time occupiedT v / TTo measure the level of specialization, there should be the following relationship in the exact same specialization for all PA/IVC intelligent integrated subject organizations or individuals:
Figure DEST_PATH_RE-DEST_PATH_IMAGE014
( 1. 5. 13 )
a2 complete differentiation (PA/IVC specialization)
For PA/IVC intelligent integrated subject activities, full differentiation refers to such an extreme case: in a certain PA/IVC intelligent integrated subject activity big system, all PA/IVC intelligent integrated subject organizations or individuals respectively engage in practical activities (tasks, project work or function processes) and cognitive activities (tasks, project work or function processes) in a certain period. In this case, the number of the activity typesV = 2 。
If we are engaged in an activityv ( vTime share occupied by = 1, 2)T v / TTo measure the level of PA/IVC specialization, the subject organization or individual should have the following relationship in full differentiation for any two PA/IVC intelligent integrations:
( 1. 5. 14 )
the following relationships should apply in fully differentiated for all PA/IVC intelligent integrated subject organizations or individuals:
Figure DEST_PATH_RE-DEST_PATH_IMAGE018
( 1. 5. 15 )
it is assumed that there is only one temporal intrinsic constraint on each PA/IVC identity subject. The goals that people can achieve in their limited time are limited only by their knowledge, which is determined by the level of integration of the PA/IVC separation. Setting the following set of IVC planning configuration intelligent integration functions and time constraints for each PA/IVC identity body:
Figure DEST_PATH_RE-DEST_PATH_IMAGE020
Figure DEST_PATH_RE-DEST_PATH_IMAGE022
Figure DEST_PATH_RE-DEST_PATH_IMAGE024
( 1. 5. 16 )
in the formula, subscriptiDenotes the body of PA/IVC identity,i = 1, 2, ···, N
Nintegrating and organizing the node number for PA/IVC intelligence;
X i is thatiThe amount of a cognitive outcome to meet its needs,
Y i is thatiThe number of a practical achievement to meet its own needs;
X s i is thatiProvided to societyXThe number of the (c) component(s),Y s i is thatiWhich is offered to societyYThe number of (2);
X i + X s i is thatiTo pairXThe completion level of (a) is,Y i + Y s i is thatiTo pairYCompletion level of (d);
T j i is thatiFor accomplishing PA/IVC resultsj = X, YThe time of (d); the total available time for a PA/IVC identity entity isT
Here is provided withTThe time is intelligently integrated for PA/IVC, and the dilemma between work and rest is not involved.
We can consider equation (1.5.16) as a PA/IVC intelligent integration system, which is composed of several IVC planning configuration intelligent integration functions and a time-based intrinsic constraint of PA/IVC identity subjects.
(2) For an industrial 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 a global value chain system as a core, and establishes a technical principle of planning and configuring an intelligent integration function relationship design by 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 integration system (HIIS).
(2.1) now, we can consider configuring the intelligent integrated system (1) for the previously established industrial value chain planning.5.16) to further extend. Now assume a complex systemSAn intelligent integrated subject major system is configured for industrial value chain planning, which compriseslA resource node (k = 1, 2, ···, l ),mEach of the configuration nodes (or configuration agents,j = 1, 2, ···, m),ntissue node (i = 1, 2, ···, n ) Is provided withWSpecies resource (w = 1, 2, ···, W ) To proceed withVKind of activity (task, work or function process) ((v = 1, 2, ···, V ) Which has in phase spacesAnd (4) a plurality of degrees of freedom.
For an industrial value chain planning configuration intelligent integrated subject activity, this is the firstk ( k = 1, 2, ···, l ) A resource node can be regarded asW k Aggregation of seed resources: (w k = 1, 2, ···, W k ) And this is the firstj ( j = 1, 2, ···, m ) Each configuration node can be regarded asV j The main body of a kind of activity (task, project work or functional process) ((R))v j = 1, 2, ···, V j ) This is the firsti ( i = 1, 2, ···, n ) Each organization node can be regarded as a certain PA/IVC intelligent integrated main body organization or an individual inside the large PA/IVC intelligent integrated main body system.
Here, there are the following resource category series, activity category series, and organization unit series:
w 1 = 1, 2, ···, W 1w 2 = 1, 2, ···, W 2;······ ;w k = 1, 2, ···, W k ;·····;w l = 1, 2, ···, W l
v 1 = 1, 2, ···, V 1v 2 = 1, 2, ···, V 2;······ ; v j = 1, 2, ···, V j ;····· ;v m = 1, 2, ···, V m
it is assumed that there is only one temporal intrinsic constraint on each PA/IVC identity subject. The goals that people can achieve in their limited time are limited only by their knowledge, which is determined by the level of integration of the PA/IVC separation. Setting the following set of IVC planning configuration intelligent integration functions and time constraints for each PA/IVC identity body:
Figure DEST_PATH_RE-DEST_PATH_IMAGE026
Figure DEST_PATH_RE-DEST_PATH_IMAGE028
,······,
Figure DEST_PATH_RE-DEST_PATH_IMAGE030
,······ ,
Figure DEST_PATH_RE-DEST_PATH_IMAGE032
Figure DEST_PATH_RE-DEST_PATH_IMAGE034
( 1. 5. 17 )
in the formulaiDenotes the body of PA/IVC identity,i = 1, 2, ···, n
nintegrating and organizing the node number for PA/IVC intelligence;
X vi is thatiPA/IVC activity for satisfying self-demandvThe number of outcomes;
X s vi is thatiProviding a PA/IVC activity to societyvThe number of outcomes;
X vi + X s vi is thatiTo pairXCompletion level of (d);
T v i is thatiFor completing PA/IVC activitiesv = 1, 2, ···, VThe time of the outcome;
a PA/IVC identity bodyiTotal available time ofT i . Here is provided withT i The time is intelligently integrated for PA/IVC, and the dilemma between work and rest is not involved.
We can view equation (1.5.17) as an extended PA/IVC intelligent integration system, which consists of several IVC planning configuration intelligent integration functions and a time-based intrinsic constraint of PA/IVC identity subject.
For the PA/IVC intelligent integrated subject activities, we can consider several specializations as follows:
B1) complete one and the same specialization
The complete same specialization refers to an extreme case: in a certain PA/IVC intelligent integrated subject activity big system, all PA/IVC intelligent integrated subject organizations or individuals are engaged in the same kind of activities (tasks, project work or function processes) within a certain period of time. In this case, the number of the activity typesV = 1。
If we are engaged in an activityvShare of time occupiedT v / TTo measure the level of specialization, the subject organization or individual is integrated for any one PA/IVC intelligenceiIn the exact same specialization the following relationships apply:
Figure DEST_PATH_RE-DEST_PATH_IMAGE036
( 1. 5. 18 )
the following relationships apply for all PA/IVC intelligent integrated subject organizations or individuals in the same complete specialization:
Figure DEST_PATH_RE-DEST_PATH_IMAGE038
( 1. 5. 19 )
B2) complete difference specialization
Complete differentiation specialization refers to an extreme case: in a certain PA/IVC intelligent integrated subject activity big system, all PA/IVC intelligent integrated subject organizations or individuals mutually engage in different kinds of activities (tasks, project work or function processes) within a certain period. In this case, the number of the activity typesVNumber of intelligent integrated organization units of not less than PA/IVCn
If we are engaged in an activityvShare of time occupiedT v / TTo measure the level of specialization, there should be the following relationship in completely different specialization for any two PA/IVC intelligent integrated subject organizations or individuals:
Figure DEST_PATH_RE-DEST_PATH_IMAGE040
( 1. 5. 20 )
the following relationships apply in the completely differentiated specialization for all PA/IVC intelligent integrated subject organizations or individuals:
Figure DEST_PATH_RE-DEST_PATH_IMAGE042
( 1. 5. 21 )
B3) not completely the same specialization
Not completely specialized refers to an extreme case: in a certain PA/IVC intelligent integrated subject activity big system, only part of PA/IVC intelligent integrated subject organizations or individuals are engaged in the same kind of activities (tasks, project work or function processes) in a certain period. In this case, the number of the activity typesV = 1。
If we are engaged in an activityvShare of time occupiedT v / TTo measure the level of specialization, subject organizations or individuals are intelligently integrated for a certain PA/IVCi' in the exact same specialization the following relationship should apply:
Figure DEST_PATH_RE-DEST_PATH_IMAGE044
( 1. 5. 22 )
whereini′ < i
The following relationships should be applied to a part of PA/IVC intelligent integrated subject organizations or individuals in the same specialization:
Figure DEST_PATH_RE-DEST_PATH_IMAGE046
( 1. 5. 23 )
whereinn′ < n
B4) Specialization of incomplete differences
Incomplete differential specialization refers to an extreme case: in a certain PA/IVC intelligent integrated subject activity big system, only part of PA/IVC intelligent integrated subject organizations or individuals mutually engage in different kinds of activities (tasks, project work or function processes) in a certain period. In this case, the number of the activity typesVNumber of intelligent integrated organization units of not less than PA/IVCn
If we are engaged in an activityvShare of time occupiedT v / TTo measure the level of specialization, the following relationship should be applied in completely different specialization for any two of a portion of PA/IVC smart integrated subject organizations or individuals:
Figure DEST_PATH_RE-DEST_PATH_IMAGE048
( 1. 5. 24 )
whereini′ < i
The following relationships apply to a part of PA/IVC intelligent integrated subject organizations or individuals in completely different specialization:
Figure DEST_PATH_RE-DEST_PATH_IMAGE050
( 1. 5. 25 )
whereinn′ < n
(2.2) configuration force described for the following differential equation
Figure DEST_PATH_RE-DEST_PATH_IMAGE052
,
The general form of the PA/IVC configuration (force) can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE054
wherein,
Y ID -PA/IVC configuration (force);M ID -number of PA/IVC configurations;
U ID -PA/IVC configuration changes;
X IM , X IT andX IC respectively allocating load input for a main PA/IVC intelligent integrated organization input, a carrier PA/IVC technical input and an objective industrial value chain planning configuration load input;
X PC andX RC respectively the resource input of a PA/IVC practice system and the resource input of a PA/IVC cognitive system,
Figure DEST_PATH_RE-DEST_PATH_IMAGE056
,
the complete form of the industrial value chain planning configuration (force) can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE060
Figure DEST_PATH_RE-DEST_PATH_IMAGE062
Figure DEST_PATH_RE-DEST_PATH_IMAGE064
wherein,
Figure DEST_PATH_RE-DEST_PATH_IMAGE068
the method is a subject investment originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE070
subject input for the field of PA/IVC practice systems for sources in the field of PA/IVC cognitive systems;
subject input for the field of PA/IVC cognitive systems for the origin of the field of PA/IVC practical systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE074
is derived from the field of PA/IVC cognitive systems and is used for PA/IVC recognitionKnowing the subject input in the system field;
Figure DEST_PATH_RE-DEST_PATH_IMAGE076
the technical investment is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE078
technical input for the field of PA/IVC practice systems for the purpose of being derived from the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE080
technical input for the field of PA/IVC cognitive systems for the purpose of originating from the field of PA/IVC practical systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE082
the method is a technical input which is originated from the field of PA/IVC cognitive systems and is used in the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE084
load input originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE086
load input for the field of PA/IVC practice systems for origin in the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-DEST_PATH_IMAGE088
load input for the PA/IVC cognitive system domain for origin in the PA/IVC cognitive system domain;
Figure DEST_PATH_RE-DEST_PATH_IMAGE090
the method is the load input which is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems.
Configuration forces described for the following differential equations
Figure DEST_PATH_RE-DEST_PATH_IMAGE092
,
The general form of the practical configuration (force) can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE094
wherein,X PM , X PT andX PC respectively organizing the input of a main PA/IVC practice system, the technical input of a vectorized PA/IVC practice system and the load input of a target PA/IVC practice system,
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE098
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE100
,
whileX MR , X ER , X IR , X KR AndX SR respectively material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment.
The complete form of the practical configuration (force) can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE102
Figure DEST_PATH_RE-DEST_PATH_IMAGE104
Figure DEST_PATH_RE-DEST_PATH_IMAGE106
Figure DEST_PATH_RE-DEST_PATH_IMAGE108
wherein,
Figure DEST_PATH_RE-244213DEST_PATH_IMAGE068
the method is a subject investment originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-615151DEST_PATH_IMAGE070
subject input for the field of PA/IVC practice systems for sources in the field of PA/IVC cognitive systems;
the technical investment is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-667213DEST_PATH_IMAGE078
technical input for the field of PA/IVC practice systems for the purpose of being derived from the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-55470DEST_PATH_IMAGE084
load input originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-749756DEST_PATH_IMAGE086
load input for the field of PA/IVC practical systems for the purpose of originating from the field of PA/IVC cognitive systems.
Configuration forces described for the following differential equations
,
The general form of cognitive configuration (force) can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE112
wherein,X RM , X RT andX RC are respectively a main bodyThe organization input of the PA/IVC cognitive system, the technical input of the vectorized PA/IVC cognitive system and the load input of the objectified PA/IVC cognitive system,
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE116
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE118
,
whileX MR , X ER , X IR , X KR AndX SR respectively material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment.
The complete form of cognitive configuration (force) can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE120
Figure DEST_PATH_RE-DEST_PATH_IMAGE124
Figure DEST_PATH_RE-DEST_PATH_IMAGE126
wherein,
Figure DEST_PATH_RE-339000DEST_PATH_IMAGE072
subject input for the field of PA/IVC cognitive systems for the origin of the field of PA/IVC practical systems;
Figure DEST_PATH_RE-666208DEST_PATH_IMAGE074
the method is applied to a subject which is derived from the field of the PA/IVC cognitive system and is used in the field of the PA/IVC cognitive system;
Figure DEST_PATH_RE-61417DEST_PATH_IMAGE080
technical input for the field of PA/IVC cognitive systems for the purpose of originating from the field of PA/IVC practical systems;
Figure DEST_PATH_RE-141368DEST_PATH_IMAGE082
the method is a technical input which is originated from the field of PA/IVC cognitive systems and is used in the field of PA/IVC cognitive systems;
load input for the PA/IVC cognitive system domain for origin in the PA/IVC cognitive system domain;
Figure DEST_PATH_RE-27602DEST_PATH_IMAGE090
the method is the load input which is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems.
The configuration role of load elastic industrial value chain planning (abbreviated as CEC industrial value chain planning configuration role) can be written as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE128
Figure DEST_PATH_RE-DEST_PATH_IMAGE130
Figure DEST_PATH_RE-DEST_PATH_IMAGE132
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE134
the invariant replacement flexible industrial value chain planning configuration effect (referred to as CES type industrial value chain planning configuration effect for short) can be written as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE136
Figure DEST_PATH_RE-DEST_PATH_IMAGE138
Figure DEST_PATH_RE-DEST_PATH_IMAGE142
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE144
for a resource load (force) described by the following differential equation
Figure DEST_PATH_RE-DEST_PATH_IMAGE146
The general form of industrial value chain planning configuration load (force) can be written as:
wherein,X PC andX RC respectively representing PA/IVC practice system load and PA/IVC cognitive system load:
,
whileX MR , X ER , X IR , X KR AndX SR and respectively planning and configuring material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment for the industrial value chain.
System efficacy as described for the following differential equations
Figure DEST_PATH_RE-DEST_PATH_IMAGE150
The general form of the industrial value chain planning configuration system efficacy can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE152
wherein
Figure DEST_PATH_RE-DEST_PATH_IMAGE154
,
The complete form of the industrial value chain planning configuration system efficacy can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE158
Figure DEST_PATH_RE-DEST_PATH_IMAGE160
Figure DEST_PATH_RE-266243DEST_PATH_IMAGE066
wherein,
Figure DEST_PATH_RE-3255DEST_PATH_IMAGE068
the method is a subject investment originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
subject input for the field of PA/IVC practice systems for sources in the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-487643DEST_PATH_IMAGE072
subject input for the field of PA/IVC cognitive systems for the origin of the field of PA/IVC practical systems;
Figure DEST_PATH_RE-745580DEST_PATH_IMAGE074
the method is applied to a subject which is derived from the field of the PA/IVC cognitive system and is used in the field of the PA/IVC cognitive system;
Figure DEST_PATH_RE-286283DEST_PATH_IMAGE076
the technical investment is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-460912DEST_PATH_IMAGE078
technical input for the field of PA/IVC practice systems for the purpose of being derived from the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-796078DEST_PATH_IMAGE080
for PA/IVC recognition for system area of practical PA/IVCKnowing the technical investment in the field of systems;
Figure DEST_PATH_RE-56158DEST_PATH_IMAGE082
the method is a technical input which is originated from the field of PA/IVC cognitive systems and is used in the field of PA/IVC cognitive systems;
load input originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-164109DEST_PATH_IMAGE086
load input for the field of PA/IVC practice systems for origin in the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-670176DEST_PATH_IMAGE088
load input for the PA/IVC cognitive system domain for origin in the PA/IVC cognitive system domain;
the method is the load input which is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems.
(3) For an industrial value chain, the inventor establishes an engineering technical basis for planning and configuring intelligent integration function relationship design by taking the connection and coordination of a PA/IVC cognitive system (RS and a computer auxiliary system thereof) and a PA/IVC practice system (PS and a computer auxiliary system thereof) as a main line of an evolution process of a high-level intelligent integration system (HIIS) and taking a global value chain system as a core in order to modify a neglected and indefinite 'cloud' computing system into a universal and longitude and latitude penetrating 'heaven-earth' computing system on the basis of independently 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.
(3.1) System efficacy as described for the following differential equations
Figure DEST_PATH_RE-DEST_PATH_IMAGE162
The general form of the efficacy of the PA/IVC practice system can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE164
wherein,X PM , X PT andX PC respectively organizing the input of a main PA/IVC practice system, the technical input of a vectorized PA/IVC practice system and the load input of a target PA/IVC practice system,
Figure DEST_PATH_RE-581949DEST_PATH_IMAGE096
,
Figure DEST_PATH_RE-465591DEST_PATH_IMAGE098
,
,
whileX MR , X ER , X IR , X KR AndX SR respectively material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment.
The complete form of the efficacy of the PA/IVC practice system can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE166
Figure DEST_PATH_RE-DEST_PATH_IMAGE168
wherein,
Figure DEST_PATH_RE-611697DEST_PATH_IMAGE068
the method is a subject investment originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-459567DEST_PATH_IMAGE070
subject input for the field of PA/IVC practice systems for sources in the field of PA/IVC cognitive systems;
is originated from the field of PA/IVC practical system and is used for PA/IVC practiceTechnical investment in the field of systems;
Figure DEST_PATH_RE-140265DEST_PATH_IMAGE078
technical input for the field of PA/IVC practice systems for the purpose of being derived from the field of PA/IVC cognitive systems;
Figure DEST_PATH_RE-749232DEST_PATH_IMAGE084
load input originated from the field of PA/IVC practical systems and used in the field of PA/IVC practical systems;
Figure DEST_PATH_RE-33582DEST_PATH_IMAGE086
load input for the field of PA/IVC practical systems for the purpose of originating from the field of PA/IVC cognitive systems.
System efficacy as described for the following differential equations
Figure DEST_PATH_RE-DEST_PATH_IMAGE170
,
The general form of the efficacy of the PA/IVC cognitive system can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE172
wherein,X RM , X RT andX RC respectively carrying out organization input of a main PA/IVC cognitive system, technical input of a vectorized PA/IVC cognitive system and load input of a target PA/IVC cognitive system,
Figure DEST_PATH_RE-508426DEST_PATH_IMAGE114
,
Figure DEST_PATH_RE-802004DEST_PATH_IMAGE116
,
Figure DEST_PATH_RE-983587DEST_PATH_IMAGE058
,
whileX MR , X ER , X IR , X KR AndX SR respectively material resource investment, energy resource investment, information resource investment, knowledge resource investment and mental resource investment.
The complete form of the efficacy of the PA/IVC cognitive system can be written as:
Figure DEST_PATH_RE-720730DEST_PATH_IMAGE120
Figure DEST_PATH_RE-151711DEST_PATH_IMAGE124
wherein,
Figure DEST_PATH_RE-285069DEST_PATH_IMAGE072
subject input for the field of PA/IVC cognitive systems for the origin of the field of PA/IVC practical systems;
Figure DEST_PATH_RE-911223DEST_PATH_IMAGE074
the method is applied to a subject which is derived from the field of the PA/IVC cognitive system and is used in the field of the PA/IVC cognitive system;
Figure DEST_PATH_RE-829500DEST_PATH_IMAGE080
technical input for the field of PA/IVC cognitive systems for the purpose of originating from the field of PA/IVC practical systems;
Figure DEST_PATH_RE-933722DEST_PATH_IMAGE082
the method is a technical input which is originated from the field of PA/IVC cognitive systems and is used in the field of PA/IVC cognitive systems;
load input for the PA/IVC cognitive system domain for origin in the PA/IVC cognitive system domain;
Figure DEST_PATH_RE-168843DEST_PATH_IMAGE090
the method is the load input which is originated from the field of PA/IVC practical systems and is used in the field of PA/IVC practical systems.
The efficiency function of the load elastic industrial value chain planning and configuration system (abbreviated as the efficiency function of the CEC industrial value chain planning and configuration system) can be written as follows:
Figure DEST_PATH_RE-DEST_PATH_IMAGE176
Figure DEST_PATH_RE-DEST_PATH_IMAGE178
Figure DEST_PATH_RE-DEST_PATH_IMAGE180
Figure DEST_PATH_RE-DEST_PATH_IMAGE182
wherein
,
Invariant substitution elastic type industrial value chain planning configuration system efficacy function (called CES type industrial value chain planning configuration system efficacy function for short)
Figure DEST_PATH_RE-661834DEST_PATH_IMAGE176
Figure DEST_PATH_RE-DEST_PATH_IMAGE188
Figure DEST_PATH_RE-DEST_PATH_IMAGE190
Figure DEST_PATH_RE-DEST_PATH_IMAGE192
Wherein
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE196
System consumption as described for the following differential equation
Figure DEST_PATH_RE-DEST_PATH_IMAGE198
The general form of industrial value chain planning configuration system consumption can be written as:
Figure DEST_PATH_RE-DEST_PATH_IMAGE200
wherein,X PA andX RA practical system consumption and cognitive system consumption for PA/IVC respectively:
Figure DEST_PATH_RE-DEST_PATH_IMAGE202
,
Figure DEST_PATH_RE-DEST_PATH_IMAGE204
whileX MA , X EA , X IA , X KA AndX SA and respectively planning material resource consumption, energy resource consumption, information resource consumption, knowledge resource consumption and mental resource consumption in the configuration for the industrial value chain.
(3.2) setting the external cooperative organization relation of the system as ESR and the internal cooperative organization relation as ISR; and two modes determined by the internal and external cooperative organization relations are provided, the characteristic vectors of the two modes are x and y respectively, and the following mode conversion relation F is provided:
Figure DEST_PATH_RE-DEST_PATH_IMAGE206
or is represented as
Figure DEST_PATH_RE-DEST_PATH_IMAGE208
This mode transition is shown in fig. 4.
Example 1 is provided with a system cooperation mode, wherein an external cooperation organization relationship is an external centralized cooperation organization relationship ECC, an internal cooperation organization relationship is an internal centralized cooperation organization relationship ICC, and a feature vector of the cooperation mode is x; after conversion, another system cooperative mode is generated, where the external cooperative organization relationship is an external centralized cooperative organization relationship ECC, the internal cooperative organization relationship is an internal centralized competitive organization relationship ICK, and the feature vector of the cooperative mode is y, then the following mode conversion relationship F is given:
Figure DEST_PATH_RE-DEST_PATH_IMAGE210
or is represented as
Figure DEST_PATH_RE-DEST_PATH_IMAGE212
Example 2 is provided with a system coordination mode, wherein an external coordination organization relation is an external distributed competition organization relation EDK, an internal coordination organization relation is an internal centralized coordination organization relation ICH, and a feature vector of the coordination mode is x; after conversion, another system cooperative mode is generated, where the external cooperative organization relationship is an external centralized cooperative organization relationship ECC, the internal cooperative organization relationship is an internal distributed competitive organization relationship IMK, and the feature vector of the cooperative mode is y, then the following mode conversion relationship F is given:
Figure DEST_PATH_RE-DEST_PATH_IMAGE214
or is represented as
Figure DEST_PATH_RE-DEST_PATH_IMAGE216
Example 3 is provided with a system cooperation mode, wherein the external cooperation organization relationship is an external distributed cooperation organization relationship EMC, the internal cooperation organization relationship is an internal distributed competition organization relationship IDK, and the feature vector of the cooperation mode is x; after conversion, another system cooperative mode is generated, where the external cooperative organization relationship is an external distributed competitive organization relationship EMK, the internal cooperative organization relationship is an internal centralized competitive organization relationship ICK, and the feature vector of the cooperative mode is y, then the following mode conversion relationship F is given:
Figure DEST_PATH_RE-DEST_PATH_IMAGE218
or is represented as
Figure DEST_PATH_RE-DEST_PATH_IMAGE220
Example 4 is provided with a system cooperation mode, wherein an external cooperation organization relation is an external distributed competition organization relation EDK, an internal cooperation organization relation is an internal distributed cooperation organization relation IDC, and a feature vector of the cooperation mode is x; after conversion, another system cooperative mode is generated, where the external cooperative organization relationship is an external distributed cooperative organization relationship EMC, the internal cooperative organization relationship is an internal distributed cooperative organization relationship IMH, and the feature vector of the cooperative mode is y, then there is a following mode conversion relationship F:
Figure DEST_PATH_RE-DEST_PATH_IMAGE222
or is represented as
Figure DEST_PATH_RE-DEST_PATH_IMAGE224
This mode transition is shown in fig. 5.
(3.3) from the perspective of internal collaborative organization, the IVC planning configuration intelligent integration function can be divided into the following 9 seed types:
intelligent integration function of internal centralized cooperation type URN (on, oc, os, [ ICC ]) user terminal organization network
Intelligent integration function of internal centralized competition type user terminal organization network URN (on, oc, os, [ ICK ])
Intelligent integrated function of internal centralized coordination type user terminal organization network URN (on, oc, os, [ ICH ])
Intelligent integration function of internal decentralized cooperation type user terminal organization network URN (on, oc, os, [ IDC ])
Intelligent integration function of internal decentralized competition type user terminal organization network URN (on, oc, os, [ IDK ])
Intelligent integration function of internal decentralized coordination type user terminal organization network URN (on, oc, os, [ IDH ])
Intelligent integration function of internal distributed cooperation type user terminal organization network URN (on, oc, os, [ IMC ])
Intelligent integration function of internal distributed competition type user terminal organization network URN (on, oc, os, [ IMK ])
Intelligent integration function of internal distributed coordination type user terminal organization network URN (on, oc, os, [ IMH ])
From the perspective of external collaborative organization, the IVC planning configuration intelligent integration function can be divided into the following 9 seed types:
intelligent integration function of external centralized cooperation type industrial value chain organization network URN (on, oc, os, [ ECC ])
Intelligent integration function of external centralized competition type industrial value chain organization network URN (on, oc, os, [ ECK ])
Intelligent integration function of external centralized coordination type industrial value chain organization network URN (on, oc, os, [ ECH ])
Intelligent integration function of external decentralized cooperation type industrial value chain organization network URN (on, oc, os, [ EDC ])
Intelligent integration function of external decentralized competitive industrial value chain organization network URN (on, oc, os, [ EDK ])
Intelligent integration function of external decentralized harmonization type industrial value chain organization network URN (on, oc, os, [ EDH ])
Intelligent integration function of external distributed cooperation type industrial value chain organization network URN (on, oc, os, [ EMC ])
Intelligent integration function of external distributed competition type industrial value chain organization network URN (on, oc, os, [ EMK ])
Intelligent integration function of external distributed coordination type industrial value chain organization network URN (on, oc, os, [ EMH ])
From the perspective of internal and external cooperative organization, the intelligent integrated function for planning and configuring the industrial value chain can be divided into the following 81 seed types:
intelligent integration function of external centralized cooperation/internal centralized cooperation type industrial value chain network URN ([ ECC/ICC ])
Intelligent integration function of external centralized cooperation/internal centralized competition type industrial value chain network URN ([ ECC/ICK ])
Intelligent integration function of external centralized cooperation/internal centralized coordination type industrial value chain network URN ([ ECC/ICH ])
Intelligent integration function of external centralized cooperation/internal decentralized cooperation type industrial value chain network URN ([ ECC/IDC ])
Intelligent integration function of external centralized cooperation/internal distributed competition type industrial value chain network URN ([ ECC/IDK ])
Intelligent integration function of external centralized cooperation/internal distributed coordination type industrial value chain network URN ([ ECC/IDH ])
Intelligent integration function of external centralized cooperation/internal distributed cooperation type industrial value chain network URN ([ ECC/IMC ])
Intelligent integration function of external centralized cooperation/internal distributed competition type industrial value chain network URN ([ ECC/IMK ])
Intelligent integration function of external centralized cooperation/internal distributed coordination type industrial value chain network URN ([ ECC/IMH ])
Intelligent integration function of external centralized competition/internal centralized cooperation type industrial value chain network URN ([ ECK/ICC ])
Intelligent integration function of external centralized competition/internal centralized competition type industrial value chain network URN ([ ECK/ICK ])
Intelligent integration function of external centralized competition/internal centralized coordination type industrial value chain network URN ([ ECK/ICH ])
Intelligent integration function of external centralized competition/internal decentralized cooperation type industrial value chain network URN ([ ECK/IDC ])
Intelligent integration function of external centralized competition/internal distributed competition type industrial value chain network URN ([ ECK/IDK ])
Intelligent integration function of external centralized competition/internal distributed coordination type industrial value chain network URN ([ ECK/IDH ])
Intelligent integration function of external centralized competition/internal distributed cooperation type industrial value chain network URN ([ ECK/IMC ])
Intelligent integration function of external centralized competition/internal distributed competition type industrial value chain network URN ([ ECK/IMK ])
Intelligent integration function of external centralized competition/internal distributed coordination type industrial value chain network URN ([ ECK/IMH ])
Intelligent integration function of external centralized coordination/internal centralized cooperation type industrial value chain network URN ([ ECH/ICC ])
Intelligent integration function of external centralized coordination/internal centralized competition type industrial value chain network URN ([ ECH/ICK ])
Intelligent integration function of external centralized coordination/internal centralized coordination type industrial value chain network URN ([ ECH/ICH ])
Intelligent integration function of external centralized coordination/internal decentralized cooperation type industrial value chain network URN ([ ECH/IDC ])
Intelligent integration function of external centralized coordination/internal decentralized competition type industrial value chain network URN ([ ECH/IDK ])
Intelligent integration function of external centralized coordination/internal distributed coordination type industrial value chain network URN ([ ECH/IDH ])
Intelligent integration function of external centralized coordination/internal centralized distribution cooperation type industrial value chain network URN ([ ECH/IMC ])
Intelligent integration function of external centralized coordination/internal distributed competition type industrial value chain network URN ([ ECH/IMK ])
Intelligent integration function of external centralized coordination/internal distributed coordination type industrial value chain network URN ([ ECH/IMH ])
Intelligent integration function of external decentralized cooperation/internal centralized cooperation type industrial value chain network URN ([ EDC/ICC ])
Intelligent integration function of external decentralized cooperation/internal centralized competition type industrial value chain network URN ([ EDC/ICK ])
Intelligent integration function of external decentralized cooperation/internal centralized coordination type industrial value chain network URN ([ EDC/ICH ])
Intelligent integration function of external decentralized cooperation/internal decentralized cooperation type industrial value chain network URN ([ EDC/IDC ])
Intelligent integration function of external decentralized cooperation/internal decentralized competition type industrial value chain network URN ([ EDC/IDK ])
Intelligent integration function of external decentralized cooperation/internal decentralized coordination type industrial value chain network URN ([ EDC/IDH ])
Intelligent integration function of external decentralized cooperation/internal distributed cooperation type industrial value chain network URN ([ EDC/IMC ])
Intelligent integration function of external decentralized cooperation/internal distributed competition type industrial value chain network URN ([ EDC/IMK ])
Intelligent integration function of external decentralized cooperation/internal distributed coordination type industrial value chain network URN ([ EDC/IMH ])
Intelligent integration function of external decentralized competition/internal centralized cooperation type industrial value chain network URN ([ EDK/ICC ])
Intelligent integration function of external decentralized competition/internal centralized competition type industrial value chain network URN ([ EDK/ICK ])
Intelligent integration function of external decentralized competition/internal centralized coordination type industrial value chain network URN ([ EDK/ICH ])
Intelligent integration function of external decentralized competition/internal decentralized cooperation type industrial value chain network URN ([ EDK/IDC ])
Intelligent integration function of external decentralized competition/internal decentralized competition type industrial value chain network URN ([ EDK/IDK ])
Intelligent integration function of external decentralized competition/internal decentralized coordination type industrial value chain network URN ([ EDK/DH ])
Intelligent integration function of external decentralized competition/internal decentralized cooperation type industrial value chain network URN ([ EDK/IMC ])
Intelligent integration function of external decentralized competition/internal decentralized competition type industrial value chain network URN ([ EDK/IMK ])
Intelligent integration function of external decentralized competition/internal decentralized coordination type industrial value chain network URN ([ EDK/IMH ])
Intelligent integration function of external decentralized harmonization/internal centralized cooperation type industrial value chain network URN ([ EDH/ICC ])
Intelligent integration function of external decentralized coordination/internal centralized competition type industrial value chain network URN ([ EDH/ICK ])
Intelligent integration function of external decentralized coordination/internal centralized coordination type industrial value chain network URN ([ EDH/ICH ])
Intelligent integration function of external decentralized harmonization/internal decentralized cooperative type industrial value chain network URN ([ EDH/IDC ])
Intelligent integration function of external decentralized harmonization/internal decentralized competition type industrial value chain network URN ([ EDH/IDK ])
Intelligent integration function of external decentralized harmonization/internal decentralized harmonization type industrial value chain network URN ([ EDH/IDH ])
Intelligent integration function of external decentralized coordination/internal decentralized cooperation type industrial value chain network URN ([ EDH/IMC ])
Intelligent integration function of external decentralized coordination/internal decentralized competition type industrial value chain network URN ([ EDH/IMK ])
Intelligent integration function of external decentralized coordination/internal decentralized coordination type industrial value chain network URN ([ EDH/IMH ])
Intelligent integration function of external distributed cooperation/internal centralized cooperation type industrial value chain network URN ([ EMC/ICC ])
Intelligent integration function of external distributed cooperation/internal centralized competition type industrial value chain network URN ([ EMC/ICK ])
Intelligent integration function of external distributed cooperation/internal centralized coordination type industrial value chain network URN ([ EMC/ICH ])
Intelligent integration function of external distributed cooperation/internal distributed cooperation type industrial value chain network URN ([ EMC/IDC ])
Intelligent integration function of external distributed cooperation/internal distributed competition type industrial value chain network URN ([ EMC/IDK ])
Intelligent integration function of external distributed cooperation/internal distributed coordination type industrial value chain network URN ([ EMC/IDH ])
Intelligent integration function of external distributed cooperation/internal centralized cooperation type industrial value chain network URN ([ EMC/IMC ])
Intelligent integration function of external distributed cooperation/internal centralized competition type industrial value chain network URN ([ EMC/IMK ])
Intelligent integration function of external distributed cooperation/internal centralized coordination type industrial value chain network URN ([ EMC/IMH ])
Intelligent integration function of external distributed competition/internal centralized cooperation type industrial value chain network URN ([ EMK/ICC ])
Intelligent integration function of external distributed competition/internal concentrated competition type industrial value chain network URN ([ EMK/ICK ])
Intelligent integration function of external distributed competition/internal centralized coordination type industrial value chain network URN ([ EMK/ICH ])
Intelligent integration function of external distributed competition/internal distributed cooperation type industrial value chain network URN ([ EMK/IDC ])
Intelligent integration function of external distributed competition/internal distributed competition type industrial value chain network URN ([ EMK/IDK ])
Intelligent integration function of external distributed competition/internal distributed coordination type industrial value chain network URN ([ EMK/IDH ])
Intelligent integration function of external distributed competition/internal distributed cooperation type industrial value chain network URN ([ EMK/IMC ])
Intelligent integration function of external distributed competition/internal distributed competition type industrial value chain network URN ([ EMK/IMK ])
Intelligent integration function of external distributed competition/internal distributed coordination type industrial value chain network URN ([ EMK/IMH ])
Intelligent integration function of external distributed coordination/internal centralized cooperation type industrial value chain network URN ([ EMH/ICC ])
Intelligent integration function of external distributed coordination/internal concentrated competition type industrial value chain network URN ([ EMH/ICK ])
Intelligent integration function of external distributed coordination/internal centralized coordination type industrial value chain network URN ([ EMH/ICH ])
Intelligent integration function of external distributed coordination/internal distributed cooperation type industrial value chain network URN ([ EMH/IDC ])
Intelligent integration function of external distributed coordination/internal distributed competition type industrial value chain network URN ([ EMH/IDK ])
Intelligent integration function of external distributed coordination/internal distributed coordination type industrial value chain network URN ([ EMH/IDH ])
Intelligent integration function of external distributed coordination/internal distributed cooperation type industrial value chain network URN ([ EMH/IMC ])
Intelligent integration function of external distributed coordination/internal distributed competition type industrial value chain network URN ([ EMH/IMK ])
Intelligent integration function of external distributed coordination/internal distributed coordination type industrial value chain network URN ([ EMH/IMH ])
4. Description of the drawings
Fig. 1 is a diagram showing a basic configuration of an industrial value chain planning configuration system.
The mass-energy configuration of the industrial value chain planning configuration intelligent integrated main body system is composed of a main configuration center (the analysis of which is oriented to organization nodes), a configuration target (a multi-hierarchy target system), a configuration mode (the analysis of which is oriented to configuration nodes), a configuration load (the analysis of which is oriented to resource nodes), configuration environment factors and the like, and is shown in fig. 1. Here, the mass-energy configuration center for planning and configuring the intelligent integrated subject system of the industrial value chain has evolved into an advanced configuration subject with a complex target system, and has a complex dynamic basis (besides the biological energy composition, also relating to property right relations, benefit distribution structures, and the like), an intelligent integrated organization for planning and configuring the industrial value chain (and a socialized complex organization form), and a complex decision structure; the industrial value chain planning and configuration intelligent integrated main body system can be configured in a mass-energy configuration mode, which relates to the aspects of configuration approaches, tools, means, equipment, technical systems, methods, programs, strategies and the like; the resource allocation load of the intelligent integrated main system for industrial value chain planning allocation comprises a natural resource allocation load, a social resource allocation load and a life resource allocation load, or comprises a material resource allocation load, an information resource allocation load, a value resource allocation load, a human resource allocation load and the like. The intelligent integrated main body for industrial value chain planning and configuration is a complex configuration main body which can engage in practical activities and cognitive activities and combine the two activities to carry out industrial value chain planning and configuration, and the information of the intelligent integrated main body for industrial value chain planning and configuration has richer content and more advanced form than general life information.
FIG. 2 is a schematic diagram of an industrial value chain planning configuration dynamic convergent network architecture.
The transformation development characteristics of the IT industry and the telecommunication industry are as follows: the first is cross-border competition, mutual fusion and innovation (mutual fusion and cross-border competition of ICT manufacturing industry and ICT service industry); secondly, mode innovation, and a plurality of services and modes are innovated; and thirdly, the industry is fused to form a larger and new industry form and form a new ICT industry, an information service industry and a telecommunication industry. This is the direction and vision for future telecommunications industry transformation and development. The IT industry and the telecommunications industry are undergoing transformation processes: hardware manufacturing industry-software design industry-information service industry. The ICT industry itself is integration, mobilization, broadband, planning and configuration of an industrial value chain, and IT, as shown in fig. 2.
Fig. 3 is a schematic diagram of the relationship between the probability equality of natural distribution, the rationalization of life existence, and the reasonable flow and allocation of social fairness and resources.
A mathematical model for hierarchical decomposition of the industrial value chain planning configuration large system according to structure and function is provided. We can model this as a hierarchical set (200) of a hierarchical directed graph (1 even structured graphs).
After the industrial value chain planning configuration large system G I is hierarchically decomposed according to structure and function, G I can be structurally represented as a hierarchical set
Figure DEST_PATH_RE-DEST_PATH_IMAGE226
( 2. 2 )
The factors and conditions that influence the existence and development of a complex system are related to both the individual conditions that constitute the basic elements of the complex system and the overall conditions of the complex system itself, as shown in fig. 3.
FIG. 4 is a schematic diagram of the transition between the system co-organization modes.
Setting the external cooperative organization relation of the system as ESR and the internal cooperative organization relation as ISR; and two modes determined by the internal and external cooperative organization relations are provided, the characteristic vectors of the two modes are x and y respectively, and the following mode conversion relation F is provided:
Figure DEST_PATH_RE-209228DEST_PATH_IMAGE206
this mode transition is shown in fig. 4.
FIG. 5 is a schematic diagram of the transition between the system co-organization modes.
A system cooperation mode is set, wherein the external cooperation organization relation is an external dispersed competition organization relation EDK, the internal cooperation organization relation is an internal dispersed cooperation organization relation IDC, and the feature vector of the cooperation mode is x; after conversion, another system cooperative mode is generated, where the external cooperative organization relationship is an external distributed cooperative organization relationship EMC, the internal cooperative organization relationship is an internal distributed cooperative organization relationship IMH, and the feature vector of the cooperative mode is y, then there is a following mode conversion relationship F:
Figure DEST_PATH_RE-751067DEST_PATH_IMAGE222
this mode transition is shown in fig. 5.
5. Detailed description of the preferred embodiments
The PA/IVC 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 technical fields of wide application, large investment, long implementation period, high difficulty and certain risk, and a scientific method is needed to ensure the success of project implementation.
C1 industrial value chain planning configuration project implementation plan
According to the actual organization of the industrial value chain, the whole project is determined to be carried out in two stages:
the first stage mainly implements system control, sales configuration, receivable configuration, logistics arrangement, payable configuration, inventory accounting, product data configuration (including industrial 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 industrial value chain planning configuration which are related internally and externally. The period is about 12 months. The method mainly completes the integration of related logistics and fund flow inside and outside the planning configuration of the industrial value chain, and the basic configuration is standardized 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 industrial value chain planning configuration which are related internally and externally. The period is about 16 months. The method mainly realizes a holographic collaborative organization mode which takes the industrial value chain planning and configuration of internal and external related markets as requirements, takes the main planning driven longitudinally and transversely as the core and takes the industrial value chain planning and configuration of internal and external related input and output as main contents, effectively controls the products in process, compresses the stock to the maximum extent, improves the delivery date and quickly meets the market requirements.
Overall target for C2 planning configuration
aAnd the transition of the industrial value chain from a traditional closed, low-efficiency and extensive configuration mode to a transparent, cooperative, normative and lean configuration mode is promoted by taking the implementation of the industrial value chain planning configuration project as a trigger, and the realization of the strategic target of the industrial value chain is supported.
bReinforcing the industrial value chain base configuration. Establishing a standard industrial value chain planning configuration internal and external associated data standard and a coding system, and promoting the industrial value chain foundation to be consolidated; product design and process file standardized configuration related to the inside and the outside of the industrial value chain planning configuration are enhanced; refining raw material consumption, working hours, capital occupation and equipment time-per-hour quota configuration related to the inside and the outside of the industrial value chain planning configuration; standardizing the production period standard of the industrial value chain which is associated with the inside and the outside of the planning configuration of the industrial value chain; the method comprises the steps of enhancing the configuration of customer resource information related to the inside and the outside of the industrial value chain planning configuration; the cost and price configuration related to the inside and the outside of the industrial value chain planning configuration is refined; and the internal and external associated carrying flow and role specification configuration is configured by strengthening the industrial value chain planning.
cImprove configuration, decision-making methods. Information resource planning related to the inside and the outside of the planning configuration of the industrial value chain, data integration of each subsystem and global sharing of a database are realized; establishing an industrial value chain planning configuration internal and external associated industrial value chain basic information structure comprising an integrated information network and a comprehensive and uniform data interaction format; planning and configuring a complete set of inventory configuration and analysis related to the inside and the outside by an industrial value chain; industrial value chain planning configurationInternal and external associated process consumption cost accounting; planning and configuring internal and external associated credit risk control and customer resource configuration by the industrial value chain; the integrated application of the main system operation planning, the material demand planning and the order configuration driven longitudinally and transversely; planning and configuring real-time cost accounting of the internal and external associated sub-products by the industrial value chain; fast quotation; planning and configuring internal and external associated profit budgets and profit-loss balance analysis by the industrial value chain; and (4) online multidimensional data analysis and decision application support.
  dAnd planning and configuring the industrial value chain into a standard, systematically improving the configuration of the industrial value chain, and supporting the industrial value chain to carry out systematic evolution so as to form transparent, open, cooperative, standard and lean industrial value chain culture.
Implementation content of C3 planning configuration
aAn industrial value chain plan configures internal and external associated logistics arrangements. The requirements of the internal and external associated production systems of the industrial value chain planning configuration are transmitted in time by means of the support of a brand-new information system, and the requirements of the internal and external associated production systems of the industrial value chain planning configuration are quickly responded to through information integration with the internal and external associated logistics systems of the industrial value chain planning configuration, so that the compatibility of the internal and external associated production materials of the industrial value chain planning configuration is ensured. An industrial value chain planning configuration system provides a demand plan for internal and external associated production of industrial value chain planning configuration according to system operation planning; the industrial value chain planning configuration internal and external associated production system can inquire the complete set condition of raw materials and parts according to material planning and provide the industrial value chain planning configuration internal and external associated logistics arrangement planning; establishing a perfect industry value chain planning configuration internal and external associated supplier configuration system by integrating the industry value chain planning configuration internal and external associated information of the industry value chain planning configuration system; the information of delivery date, article quality and the like of internal and external associated suppliers configured by industrial value chain planning is used as the basis for evaluating the suppliers; to make the industry worthThe evaluation results of the internal and external associated suppliers of the chain planning configuration are combined with the share distribution and payment policies of the logistics arrangement; and establishing an information base for planning and configuring the internal and external related logistics arrangement period, the economic batch, the safety stock and other basic configurations of the industrial value chain, and providing a basis for timely guaranteeing the material supply.
bIndustrial value chain planning configures internal and external associated sales, inventory and production systems. The system operation plan is a schema file for guiding the value chain plan of the production industry to configure internal and external associated production activities. In order to guarantee the implementation of system operation planning, a series of matched plans such as material logistics arrangement planning, outside cooperation planning, workshop project planning, equipment use planning, tooling mold planning and the like which are related inside and outside the industrial value chain planning configuration can be generated at the same time. The system operation plan and the plans are in the relation of outline and purpose, and outline can be referred to as a target.
cAn industrial value chain planning configuration internal and external associated cost configurations. Planning, accounting, controlling and configuring the production cost associated with the inside and the outside of the industrial value chain planning configuration, establishing a department cost budgeting method associated with the inside and the outside of the industrial value chain planning configuration, and comparing the cost budgeting method with the cost analysis in the affairs, so that the budgeting is gradually learned and accurate by departments, and useful data is provided for the industrial value chain organization decision.
dAn industrial value chain planning configures the due configuration associated inside and outside. The method is characterized in that the internal and external related payable subsystems of the industrial value chain planning configuration are mainly used for configuring various interactive funds of the industrial value chain and suppliers in the operation process, effectively helping an industrial value chain configurator master the flow direction of funds, controlling the outflow of the funds of the industrial value chain by monitoring the payment condition and forming a good cycle of the mobile funds. The internal and external associated payable subsystems of the industrial value chain planning configuration fill out invoices, taxes and logistics scheduling fees based on the occurrence of the logistics scheduling activities, and can also directly call orders generated by the logistics scheduling subsystems. Of invoices amounts and warehousing materialsAnd (4) apportioning, so that the payment condition of the warehousing materials 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 outflow conditions of industrial value chain organizations in real time, the system for planning and configuring the internal and external association of the industrial value chain also provides rich inquiry and statistical functions and is integrated with a logistics arrangement subsystem and an accounting subsystem which are associated with the internal and external of the industrial value chain planning and configuring.
eAn industrial value chain planning configures an internal and external associated receivable configuration. The industrial value chain organization realizes the sharing of data between the financial project departments and the sales departments which are related inside and outside the industrial value chain planning configuration through the application of the industrial value chain planning configuration system, and completes the communication of data information on the network; the income accounting form money of the financial project department related to the inside and the outside of the industrial value chain planning configuration is registered by taking the sales invoice of the sales department as the basis; and (4) allocating the internally and externally associated income accounting table money for the industrial value chain planning and integrating according to the current users. The industrial value chain planning and configuration of internal and external related collection and sales invoices is based on 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.
6. Introduction to 600 patent Co-implementation plan
After thirty years of free exploration, the independent inventor li zong professor formally submits 600 patent applications of inventions to the national patent office through an electronic application system in 2011 and 9 months, and submits 600 materials such as a claim, a specification, an attached drawing and the like with about 3600 ten thousand characters in total.
After thirty years of free exploration, the independent inventor Lizong professor has independently written eight academic large works (total 3000 ten thousands) closely related to the 600 technical inventions reported this time on the basis of more than eighty papers published (without cooperative achievement) through international and domestic academic publications and academic conferences, and intends to continuously process official publishing matters after 9 months in 2011.
The 600 technical invention patents reported this time are a brand new technical cluster of a self-formed system established by the inventor of Lizong through thirty years of independent free exploration, and the general name is 'global value chain network technology support system' [ DCN/HII (GVC); ].
Based on a series of independently and freely completed major creative academic research results and 600 latest technical inventions, the inventor has proposed a strategy which can be called as 'open the earth' plan-a global value chain system engineering technology cluster development overall strategy.
The overall strategic goals of the global value chain network technology support system can be summarized as follows:
1. in the fundamental aspect of technical development (the front end of an ICT industrial chain), a multi-level and 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 brand-new mathematical foundation, a brand-new scientific foundation and a brand-new technical foundation and a brand-new engineering foundation are established, a relatively closed and relatively static 'resource pool' -a soul, intelligence and life are injected into a cloud computing network, 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 multi-level multi-mode 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-level intelligent integrated system (HIIS), an intelligent integrated scientific technology system (IIS & IIT) based on a meta-system (MS) scientific brand-new theory 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 (DCN) which are scattered at each department of all fields of the world, the global value chain system engineering is vigorously pushed, and a global intelligent integrated dynamic converged network system (DCN/HII (GVC)) really having life and ecological holographic synergetic organization is established, so that an intelligent integrated network is established, The life internet and the ecological operation network.
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 heaven-earth computing revolution based on the cloud computing revolution takes a multi-level multi-mode global value chain system as a core, takes a modern electronic technology, a modern communication technology and a modern information network technology as a support foundation, and tightly combines a logistics network, an energy network, an information network, a financial network and a knowledge network to establish a high-efficiency, intensive and intelligent integrated dynamic converging network large system with life (or ecological) self-organization property, thereby greatly simplifying team management (and enterprise management), department management (and industry management), regional management, national management and global management, effectively reducing the cost of team (and enterprise) infrastructure, the cost of department (and industry) infrastructure, the cost of regional infrastructure, the cost of national infrastructure and the cost of global infrastructure, and comprehensively improving the informatization level of the team (enterprise), The department (and industry) informatization level, the regional informatization level, the national informatization level and the global informatization level change all social organizations and activities thereof into configuration nodes and activities thereof in a global multi-level multi-mode system efficacy chain network system, particularly change all social economic organizations and activities thereof into configuration nodes and activities thereof in the global multi-level multi-mode value chain network system, and finally lead to the knowledge, intellectualization and networking to become the basic attributes of society, organization and individuals.

Claims (7)

1. The independent claim, namely an ICT technical support design generated by transformation of industrial value chain planning configuration, is a new technique proposed by the applicant by establishing a basic model and a paradigm of network configuration dynamics, with internet users as the center, further with a global value chain system (GVC) as the center, with connection and coordination of natural intelligence and artificial intelligence based on computers and their networks as a principal line of a general Intelligent Integrated System (IIS) upgrading process, in order to transform an indefinite "cloud" computing system into a universal and longitude and latitude-penetrating "heaven-earth" computing system, 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 generated by industrial value chain planning configuration conversion, 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 generated by industrial value chain planning configuration conversion, "heaven and earth" computing is an extremely complex system and has a quite complex holographic collaborative organization structure, wherein on one hand, various computers and the infrastructures, the accessories and network devices (including servers and browsers) thereof 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 and EMH) to form a computer interconnection network 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 Internet organization forms what the inventor refers to as the "world" computing system CS/HSN (GII);
C. for ICT technical support generated by industrial value chain planning configuration conversion, establishing a dynamic basis for planning and configuring intelligent integrated function relationship design, and further establishing a technical principle for planning and configuring intelligent integrated function relationship design;
D. and introducing appropriate basic cooperative variables for respectively reflecting basic power, basic load, basic efficacy, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptive system for ICT technical support generated by industrial value chain planning configuration conversion, and establishing an engineering technical basis for planning configuration intelligent integrated function relationship design.
2. The invention of the dependent claim-independent claim 1 regards the industrial value chain planning and configuration system as a set composed of a certain number (or variable number) of nodes and a certain number (or variable number) of chains, having multiple hierarchies and multiple modes, and establishing the intelligent integration function relationship of planning and configuration, and the invention is characterized in that:
certain dependence relationship exists between input elements and final results in the PA/IVC intelligent integration process, and the relationship can be described as an IVC planning configuration intelligent integration function mathematically; the IVC planning configuration intelligent integration function describes a function of the dependency relationship between the number of input elements of PA/IVC intelligent integration and the maximum number of achievements which can be generated by a certain combination on a certain technical level, and is the generated amount obtained by PA/IVC intelligent integration organizations or individuals under a certain input product combination; because any improvement of PA/IVC intelligent integration mode (such as industrial value chain intelligent technology and PA/IVC intelligent integration scale) can lead to the generation of new industrial value chain intelligent investment, different IVC planning configuration intelligent integration functions represent different PA/IVC intelligent integration methods and technical levels; in other words, technological advances push resource elements to be utilized in a more powerful and efficient manner;
to be provided withQRepresents the total amount of the produced product,MEIKI t respectively representing five basic elements of quality, energy, information, knowledge and industrial value chain intelligence, and then intelligently integrating the functionsThe general expression for a number can be written as:
3. the dependent claims-the inventor of independent claim 1 establishes various typical forms of intelligent integration function relationships as planning configuration with the association and coordination of PA/IVC cognitive systems (RS and its computer-aided systems) and PA/IVC practice systems (PS and its computer-aided systems) as a main line of evolution process of advanced intelligent integration system (HIIS), the present claims being characterized in that:
now assume a complex systemSIs a PA/IVC intelligent integrated system, which compriseslA resource node (k = 1, 2, ···, l ),mEach of the configuration nodes (or configuration agents,j = 1, 2, ···, m),ntissue node (i = 1, 2, ···, n ) Is provided withWSpecies resource (w = 1, 2, ···, W ) Performing a single industrial value chain intelligent variety of activities (tasks, jobs or functional processes including practice and cognitive activities) that have phase spacesA single degree of freedom;
for the purpose of PA/IVC intelligent integration,
first, thek ( k = 1, 2, ···, l ) A resource node can be regarded asW k Aggregation of seed resources: (w k = 1, 2, ···, W k ),
First, thej ( j = 1, 2, ···, m ) Each configuration node can be regarded as the main body of the intelligent integrated activity (task, project work or functional process) of the same industrial value chain,
first, thei ( i = 1, 2, ···, n ) Each organization node can be regarded as a PA/IVC intelligent integrated organization or an individual;
in the initial stage of PA/IVC intelligent integration, no matter individual resource nodes, configuration nodes and organization nodes, or partial resource nodes, configuration nodes and organization nodes, or all resource nodes, configuration nodes and organization nodes, the PA/IVC intelligent integration system can become an action object, input resources or element combination of a PA/IVC intelligent integration main body (organization or individual); obviously, there are mainly three cases here:a ) Only individual resource nodes, configuration nodes and organization nodes become the action objects, input resources or element combinations of the PA/IVC intelligent integrated main body (organization or individual);b ) Only part of the resource nodes, the configuration nodes and the organization nodes become the action objects, the input resources or the element combinations of the PA/IVC intelligent integrated main body (organization or individual);c ) All resource nodes, configuration nodes and organization nodes become the action objects, input resources or element combinations of the PA/IVC intelligent integration main body (organization or individual).
4. Dependent claims-for industrial value chains, the inventors, according to independent claim 1, present an extended form of planning and configuring intelligent integration function relationships, the rights being characterized in that:
now assume a complex systemSFor the intelligent integration of a large system PA/IVC, it compriseslA resource node (k = 1, 2, ···, l ),mEach of the configuration nodes (or configuration agents,j = 1, 2, ···, m),ntissue node (i = 1, 2, ···, n ) Is provided withWSpecies resource (w = 1, 2, ···, W ) To proceed withVKind of activity (task, work or function process) ((v = 1, 2, ···, V ) Which has in phase spacesA single degree of freedom;
for PA/IVC intelligent integration, this is the firstk ( k = 1, 2, ···, l ) A resource node can be regarded asW k Aggregation of seed resources: (w k = 1, 2, ···, W k ) To do soThis is the firstj ( j = 1, 2, ···, m ) Each configuration node can be regarded asV j The main body of a kind of activity (task, project work or functional process) ((R))v j = 1, 2, ···, V j ) This is the firsti ( i = 1, 2, ···, n ) Each organization node can be regarded as a certain PA/IVC intelligent integrated organization or an individual in the PA/IVC intelligent integrated large system;
here, there are the following resource category series, activity category series, and organization unit series:
w 1 = 1, 2, ···, W 1w 2 = 1, 2, ···, W 2;······ ;w k = 1, 2, ···, W k ;·····;w l = 1, 2, ···, W l
v 1 = 1, 2, ···, V 1v 2 = 1, 2, ···, V 2;······ ; v j = 1, 2, ···, V j ;····· ;v m = 1, 2, ···, V m
assuming that only one time intrinsic constraint is imposed on each industrial value chain intelligent identity subject; the goals that people can achieve in limited time are only limited by knowledge mastered by people, and the knowledge is determined by the intelligent separation and integration level of the industrial value chain; setting the following set of IVC planning configuration intelligent integration functions and time constraints for each industrial value chain intelligent identity subject:
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,······,
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,······ ,
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( 1. 5. 17 )
in the formulaiRepresents an intelligent identity subject of the industrial value chain,i = 1, 2, ···, n
nintelligently organizing node numbers for an industrial value chain;
X vi is thatiIntelligent activity of industrial value chain for satisfying self needsvThe number of outcomes;
X s vi is thatiProviding social with an industrial value chain intelligence activityvThe number of outcomes;
X vi + X s vi is thatiTo pairXCompletion level of (d);
T v i is thatiFor completing industrial value chain intelligent activitiesv = 1, 2, ···, VThe time of the outcome.
5. Dependent claims-for industrial value chain, the inventor of independent claim 1 establishes a dynamic basic model of planning and configuring intelligent integration function relations, the rights being characterized in that:
configuration forces described for the following differential equations
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,
The general form of the intelligent integrated configuration (force) of the industrial value chain can be written as:
Figure DEST_PATH_RE-652050DEST_PATH_IMAGE016
wherein,
Y ID -industrial value chain intelligent integrated configuration (force);M ID -number of intelligent integrated configurations of industrial value chains;
U ID -industrial value chain intelligent integration configuration changes;
X IM , X IT andX IC respectively realizing the intelligent integration organization input of a main industrial value chain, the intelligent integration technology input of a carrier industrial value chain and the intelligent integration load input of an objectified industrial value chain;
X PC andX RC respectively the resource input of a PA/IVC practice system and the resource input of a PA/IVC cognitive system,
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,
Figure DEST_PATH_RE-523415DEST_PATH_IMAGE020
6. dependent claims-for industrial value chain, the inventor according to independent claim 1 introduces appropriate various basic collaborative variables for reflecting basic dynamics, basic load, basic efficacy, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptation system respectively, establishes an engineering idea for planning and configuring an intelligent integrated design, and the invention is characterized in that:
system consumption as described for the following differential equation
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The general form of the consumption of an industrial value chain intelligent integrated system can be written as:
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wherein,X PA andX RA practical system consumption and cognitive system consumption for PA/IVC respectively:
,
Figure DEST_PATH_RE-673109DEST_PATH_IMAGE028
whileX MA , X EA , X IA , X KA AndX SA respectively material resource consumption, energy resource consumption, information resource consumption, knowledge resource consumption andthe consumption of mental resources.
7. Dependent claims-for industrial value chain, the inventor according to independent claim 1 introduces appropriate various basic cooperative variables for respectively reflecting basic power, basic load, basic efficacy, basic consumption, internal cooperation and competition and external cooperation and competition of a general complex adaptation system, establishes a technical scheme for planning and configuring an intelligent integrated design, and the invention is characterized in that:
setting the external cooperative organization relation of the system as ESR and the internal cooperative organization relation as ISR; and two modes determined by the internal and external cooperative organization relations are provided, the characteristic vectors of the two modes are x and y respectively, and the following mode conversion relation F is provided:
Figure DEST_PATH_RE-914735DEST_PATH_IMAGE030
or is represented as
Figure DEST_PATH_RE-523614DEST_PATH_IMAGE032
From the perspective of internal collaborative organization, the IVC planning configuration intelligent integration function can be divided into the following 9 seed types:
intelligent integration function of internal centralized cooperation type URN (on, oc, os, [ ICC ]) user terminal organization network
Intelligent integration function of internal centralized competition type user terminal organization network URN (on, oc, os, [ ICK ])
Intelligent integrated function of internal centralized coordination type user terminal organization network URN (on, oc, os, [ ICH ])
Intelligent integration function of internal decentralized cooperation type user terminal organization network URN (on, oc, os, [ IDC ])
Intelligent integration function of internal decentralized competition type user terminal organization network URN (on, oc, os, [ IDK ])
Intelligent integration function of internal decentralized coordination type user terminal organization network URN (on, oc, os, [ IDH ])
Intelligent integration function of internal distributed cooperation type user terminal organization network URN (on, oc, os, [ IMC ])
Intelligent integration function of internal distributed competition type user terminal organization network URN (on, oc, os, [ IMK ])
Intelligent integration function of internal distributed coordination type user terminal organization network URN (on, oc, os, [ IMH ])
From the perspective of external collaborative organization, the intelligent integrated functions of the industrial value chain can be divided into the following 9 seed types:
intelligent integration function of external centralized cooperation type industrial value chain organization network URN (on, oc, os, [ ECC ])
Intelligent integration function of external centralized competition type industrial value chain organization network URN (on, oc, os, [ ECK ])
Intelligent integration function of external centralized coordination type industrial value chain organization network URN (on, oc, os, [ ECH ])
Intelligent integration function of external decentralized cooperation type industrial value chain organization network URN (on, oc, os, [ EDC ])
Intelligent integration function of external decentralized competitive industrial value chain organization network URN (on, oc, os, [ EDK ])
Intelligent integration function of external decentralized harmonization type industrial value chain organization network URN (on, oc, os, [ EDH ])
Intelligent integration function of external distributed cooperation type industrial value chain organization network URN (on, oc, os, [ EMC ])
Intelligent integration function of external distributed competition type industrial value chain organization network URN (on, oc, os, [ EMK ])
External distributed coordination type industrial value chain organizes intelligent integration functions of the network URN (on, oc, os, [ EMH ]).
CN2011103472570A 2011-11-07 2011-11-07 Industry value chain planning configuration transformation generation ICT technology support design Pending CN102724267A (en)

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