CN111815265B - Digital supply chain collaboration platform and construction method - Google Patents
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Abstract
The invention provides a method for constructing a digital supply chain collaboration platform, which comprises the steps of taking an order as a central line, and constructing collaboration models among functional departments inside an enterprise, and between the enterprise and an upstream and/or downstream enterprise; constructing a monitoring matrix data model by taking a client of an order as a central line; constructing analysis models under an order driving end-to-end supply chain, a logistics driving end-to-end supply chain, a production process driving end-to-end supply chain, a cost driving end-to-end supply chain and a quality driving end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; and carrying out information interaction between any two of the models, and constructing a digital supply chain collaboration platform. The platform constructed by the method is also provided, so that on one hand, barriers among departments in an enterprise can be broken through, and on the other hand, the power-assisted enterprise continuously expands the outer boundary of the enterprise to form an industrial community ecological system taking a specific enterprise as a tap and taking the same value chain as a basis, so that personalized and uncertain requirements of a consumer market can be met.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a digital supply chain collaboration platform and a construction method thereof.
Background
The rise of the consumption internet technology is a breakthrough in the era, and has positive influence on the consumption culture, living habit and even social value. The rapid, convenient and transparent consumption brought by the consumption of the Internet impacts the traditional consumption consciousness, and thus, the time brings huge ideas to the people, and the personalized requirements are more and more obvious. As consumer interconnects are generated and popularized, social credit systems are becoming established. The nature of the consumption internet is that people, goods and fields are efficiently cooperated in the virtual space.
But on one hand, the consumption of the internet, especially the electronic commerce provides shopping convenience for consumers, and the consumption habit and social habit of young people are changed, and on the other hand, suppliers at the upstream of the industry chain are complain days after each other, so that the online sales gross profit of most enterprises is low, and the online sales of most enterprises is not profitable. There are general problems with the conventional manufacturing supply chain: the basic work is complicated, and a large amount of manpower is applied; abnormal problems cannot be found, tracked and solved in time; lead time instability: the operation process is opaque, and the management level is not clear; the raw material purchasing period is long, the raw material purchasing links are serial, and purchasing and source searching are difficult; the quality is uncontrollable: the raw materials and the production quality are uncontrollable; poor flexibility: the flow links of the supply chain are opaque and incoherent; the data and the information are incoherent, so that an information island is formed, the island effect of a business process is further caused, the island effect of the information causes the island of the process, the island effect of the process forms an invisible wall between departments in an enterprise, and the invisible barrier between the departments greatly influences the efficiency of the enterprise. Meanwhile, due to the asymmetry of information among enterprises, trust crisis is generated for the cooperation of the upstream and downstream of the enterprises, and the efficient cooperation among the enterprises is also influenced; the information age is particularly important for solving the problems in the supply chain and realizing the planned and reasonable cooperation of enterprises inside and outside the enterprises and upstream and downstream enterprises.
Disclosure of Invention
In order to solve the above-mentioned a series of problems existing in the conventional manufacturing industry supply chain, the invention is based on the collaborative mode of the digital supply chain, can help enterprises break through barriers among departments in the enterprises on one hand, and help enterprises to continuously expand external boundaries of the enterprises on the other hand, so as to form an industrial community ecological system taking a specific enterprise as a tap and based on the same value chain, so as to cope with personalized and uncertain demands of the consumer market, and the technical scheme is as follows: a method for constructing a digital supply chain collaboration platform includes (1) constructing collaboration models among parts in an enterprise, between the enterprise and an upstream enterprise and/or between the enterprise and a downstream enterprise by taking orders as center lines; (2) Constructing a monitoring matrix data model of the whole order completion by taking a client of the order as a central line; (3) Constructing analysis models under an order driving end-to-end supply chain, a logistics driving end-to-end supply chain, a production process driving end-to-end supply chain, a cost driving end-to-end supply chain and a quality driving end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; (4) And (3) carrying out information interaction between any two of the models in the steps (1) - (3) to construct a digital supply chain collaboration platform.
In the step (1), the collaborative model comprises a brand manufacturer module, a designer module, a raw material manufacturer module, a production factory module, a logistics module and a supply chain order module, which are respectively used for carrying out information interaction by taking the supply chain order module as a core carrier, wherein the brand manufacturer module and the supply chain order module carry out market planning information interaction, supply and demand planning information interaction and exhibition information interaction processing in an online platform mode, a market store mode, an order meeting mode and a mobile service terminal mode; the designer module performs design push information interaction, design sample selection information interaction and raw material model selection information interaction with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the raw material supplier module performs order demand information interaction, plan purchase information interaction, exception handling information interaction, supplier side order basic information interaction and supplier side raw material supply information interaction with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the manufacturer module performs order receiving and/or production scheduling information interaction, production state tracking information interaction and abnormal condition processing information interaction processing with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the logistics module is arranged in the module and is used for tracking information interaction processing of the dispatching process of each group of orders of the supply chain order module.
As an improvement, the manufacturer module further comprises information interaction processing taking each group of order information as a carrier, and the interactive processing of recording the output quantity data information, the time data information and the abnormal condition data information of the product in real time is carried out by carrying out tracking and information input on the production process nodes of each specific group of orders.
When the manufacturer module is a wood manufacturer module, the manufacturer module comprises warehouse-in data information, package data information, paint data information, assembly data information and material-opening data information, and the information is tracked in real time by taking the same order product as a carrier for information interaction processing.
As an improvement, in the step (2), the monitoring matrix data model is a process of independently performing order form with each group of pre-delivery, delivery and post-delivery of order products, which relates to, but is not limited to, any one of the following information interaction supervision: order delivery and/or monitoring data information, production monitoring data information, material delivery and/or monitoring data information, order monitoring data information, material flow monitoring data information, production process monitoring data information, inventory monitoring data information, product quality data information, process quality data information, incoming material quality monitoring data information, product inventory cost data information, personnel cost data information, hydropower cost data information, material inventory cost data information.
As an improvement, the analysis model in the step (3) is an order driving end-to-end supply chain for tracking the execution information interaction of the order, and/or a logistics driving end-to-end supply chain analysis process for tracking the raw material data information and/or the product logistics data information, and/or a production process driving end-to-end supply chain analysis process for tracking the whole order production process and/or the real-time data information of a production shop, and/or a production process driving end-to-end supply chain analysis process for tracking the operation cost, which are not limited to any one of the following ranges: the purchasing cost data information, the production cost data information, the logistics cost, the cost-driven end-to-end supply chain analysis processing of the internal data information, and/or the quality information for tracking orders include, but are not limited to, any one of the following ranges: raw material quality data information, production process quality data information, and quality drive-end-to-end supply chain analysis processing of abnormal event monitoring data information.
Meanwhile, the invention also provides another specific implementation mode, the digital supply chain collaboration platform constructed by adopting the construction method comprises a manufacturer module, a raw material manufacturer module, a data acquisition layer module, a data integration and/or processing layer module, a big data analysis layer module and a micro-application function management layer module; the manufacturer module and the raw material manufacturer module collect data information through the data collection layer module, and interact with each other, but the method is not limited to any one of the following ranges: purchasing process data information, design process and/or research and development process data information, planning process data information, e-commerce process and/or order process data information, and outsourcing process data information; the data acquisition layer module, the data integration and/or processing layer module and the big data analysis layer module are used for carrying out data superposition and information interaction processing, and terminal processing is carried out in a manually operable mode or a remote operation mode through the micro-application function management layer module.
As an improvement, the micro-application function management layer module includes, but is not limited to, any one of the following processes: the production capacity and/or supply and demand plan data information, the intelligent group data information, the production cooperative data information, the order cooperative data information, the whole-flow production data information, the quality management data information, the finished product and/or material management data information, the warehouse management data information, the cost tracking accounting data information, the auxiliary material cooperative data information, the purchasing cooperative data information, the abnormal management data information and the instant communication data information are all set through information interaction processing.
The beneficial effects are that: the invention provides a digital supply chain collaboration platform and a construction method thereof, which are aimed at discrete traditional manufacturing industries, such as shoe industry, furniture manufacturing industry and the like, and realize the human-to-human collaboration and human-to-machine collaboration of enterprises by constructing a collaboration model, a monitoring matrix data model and an analysis model and then carrying out mutual information interaction to create the digital supply chain collaboration platform, and create an industrial community on the same value chain for the enterprises in a supply chain collaboration mode and realize flexible supply chain capability for the enterprises in an industrial community mode.
The method is characterized in that the method realizes planning coordination, delivery coordination and abnormal coordination of enterprises by sharing capacity, inventory and sharing targets between upstream and downstream of the enterprises in a digital supply chain coordination mode, and aims to realize the innovation and four of the end-to-end supply chain operation process for the enterprises: visualization, synergism, community, and intellectualization.
Drawings
FIG. 1 is a schematic diagram of a digital supply chain collaborative model according to the present invention.
FIG. 2 is a schematic diagram of a monitoring matrix data model of a digital supply chain according to the present invention.
FIG. 3 is a schematic diagram of an analytical model of a digital supply chain according to the present invention.
FIG. 4 is a schematic diagram of a digital supply chain collaboration platform.
FIG. 5 is a diagram showing the closed-loop management effect data of the supply chain collaboration platform in accordance with the embodiment 1 of the present invention.
Detailed Description
The drawings of the invention are further described below in conjunction with the embodiments.
A method for constructing a digital supply chain collaboration platform includes (1) constructing collaboration models among parts in an enterprise, between the enterprise and an upstream enterprise and/or between the enterprise and a downstream enterprise by taking orders as center lines; (2) Constructing a monitoring matrix data model of the whole order completion by taking a client of the order as a central line; (3) Constructing analysis models under an order driving end-to-end supply chain, a logistics driving end-to-end supply chain, a production process driving end-to-end supply chain, a cost driving end-to-end supply chain and a quality driving end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; (4) And (3) carrying out information interaction between any two of the models in the steps (1) - (3) to construct a digital supply chain collaboration platform.
In the step (1), the collaborative model comprises a brand manufacturer module, a designer module, a raw material manufacturer module, a production factory module, a logistics module and a supply chain order module, wherein the modules respectively use the supply chain order module as a core carrier for information interaction, and the brand manufacturer module and the supply chain order module carry out market planning information interaction, supply and demand planning information interaction and exhibition information interaction processing in an online platform mode, a market store mode, an order meeting mode and a mobile service terminal mode; the designer module performs design push information interaction, design sample selection information interaction and raw material model selection information interaction with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the raw material supplier module performs order demand information interaction, plan purchase information interaction, exception handling information interaction, supplier side order basic information interaction and supplier side raw material supply information interaction with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the manufacturer module performs order receiving and/or production scheduling information interaction, production state tracking information interaction and abnormal condition processing information interaction processing with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the logistics module is arranged in the module and is used for tracking information interaction processing of the dispatching process of each group of orders of the supply chain order module.
The manufacturer module further comprises information interaction processing taking each group of order information as a carrier, and the interactive processing of recording the output quantity data information, the time data information and the abnormal condition data information of the product in real time is carried out by carrying out tracking and information input on production process nodes on each specific group of orders.
When the manufacturer module is a wood manufacturer module, the manufacturer module comprises warehouse-in data information, package data information, paint data information, assembly data information and material opening data information, and the information is tracked in real time by taking the same order product as a carrier for information interaction processing.
The collaboration model is divided into the collaboration among departments inside the enterprise and the external collaboration between the enterprise and the upstream enterprise and the downstream enterprise, as shown in fig. 1, and the essence of the collaboration model is to establish a direct collaboration relationship between people. Whether internal or external to the enterprise, it is essentially a business surrounded by parties' bodies that are targeted for communication and collaboration among individuals. The efficiency of this behavior in turn restricts the achievement of business objectives.
Thus, the efficiency of the collaboration becomes one of the key factors for enterprise efficiency. The coordination of the supply chain is critical in terms of the characteristics of discrete type conventional manufacturing. Therefore, the defined digital supply chain collaboration model can use digital technology, internet technology, artificial intelligence technology, big data analysis and other technologies to supply different internal service forms of the chain, and digitally link the relevant parties of each main body to realize the collaboration inside the enterprise and the collaboration outside the enterprise.
The traditional manufacturing enterprises are attached to the development of consumers (clients), and are service bodies which surround the quality, delivery and cost of products as cores. The premise of enabling enterprises to achieve efficient coordination is the layout of monitoring points, the real-time performance of numbers, the inherent logic relevance among the numbers and the visibility of an operation process; according to the premise, in order to improve the service level of the enterprise, the monitoring matrix data model is laid out in different stages and processes of delivering the product order by taking the customer order as a main line, and the monitoring matrix of fig. 2 is used for realizing data acquisition, analysis and real-time monitoring. Through visualization of production, delivery and quality processes, interaction of all links of production, delivery and quality is realized, so that the cooperative efficiency of the enterprise is improved, and a monitoring matrix data model is arranged.
Specifically, in step (2), the monitoring matrix data model is a process of performing the order with each group of pre-delivery, post-delivery and post-delivery of the order product independently, which involves, but is not limited to, any one of the following information interaction supervisory processes: order delivery and/or monitoring data information, production monitoring data information, material delivery and/or monitoring data information, order monitoring data information, material flow monitoring data information, production process monitoring data information, inventory monitoring data information, product quality data information, process quality data information, incoming material quality monitoring data information, product inventory cost data information, personnel cost data information, hydropower cost data information, material inventory cost data information.
The development of enterprises is a continuous mutation process in crisis armful, the operation of the enterprises is required to be diagnostic reports rather than necropsy reports, a manager has to have clear knowledge on the operation condition of the enterprises to make a policy of symptomatic drug delivery,
FIG. 3 is a model of data analysis at various latitudes defined for a conventional manufacturing industry, specifically: the analysis model in the step (3) is an order driving end-to-end supply chain for tracking the execution condition information interaction of the order, and/or a logistics driving end-to-end supply chain analysis process for tracking the raw material data information and/or the product logistics data information, and/or a production process driving end-to-end supply chain analysis process for tracking the whole order production process and/or the real-time data information of a production workshop, and/or a production cost tracking operation cost, which are not limited to any one of the following ranges: the purchasing cost data information, the production cost data information, the logistics cost, the cost-driven end-to-end supply chain analysis processing of the internal data information, and/or the quality information for tracking orders include, but are not limited to, any one of the following ranges: raw material quality data information, production process quality data information, and quality drive-end-to-end supply chain analysis processing of abnormal event monitoring data information.
According to the characteristics of enterprises, multidimensional and multi-view analysis is performed, and analysis models including but not limited to the six end-to-end supply chains are set to avoid the error decision regions of managers with a rough rule.
Specifically, the method comprises the following steps: (1) multi-level operation condition analysis: analyzing different latitudes according to enterprise scale, architecture and hierarchy; (2) order-driven end-to-end analysis: tracking the execution of the order from the customer's perspective; (3) end-to-end analysis driven by a stream: tracking raw materials and finished product logistics in real time from a delivery angle; (4) to produce driven end-to-end analysis: tracking the whole production process of the order, and realizing real-time management and control of the conditions of a production workshop; (5) cost-driven end-to-end analysis; monitoring enterprise end-to-end operation cost, including purchasing cost, production cost, logistics cost and the like; (6) end-to-end analysis driven in mass: the quality is monitored in all directions, including raw material quality, finished product quality, production process quality, abnormal event monitoring and the like.
Meanwhile, the invention also provides another specific implementation mode, the digital supply chain collaboration platform constructed by adopting the construction method comprises a manufacturer module, a raw material manufacturer module, a data acquisition layer module, a data integration and/or processing layer module, a big data analysis layer module and a micro-application function management layer module; the manufacturer module and the raw material manufacturer module collect data information through the data collection layer module, and interact with each other, but the method is not limited to any one of the following ranges: purchasing process data information, design process and/or research and development process data information, planning process data information, e-commerce process and/or order process data information, and outsourcing process data information; the data acquisition layer module, the data integration and/or processing layer module and the big data analysis layer module are used for carrying out data superposition and information interaction processing, and terminal processing is carried out in a manually operable mode or a remote operation mode through the micro-application function management layer module.
The micro-application function management layer module comprises any one of the following processes in the scope of but not limited to: the production capacity and/or supply and demand plan data information, the intelligent group data information, the production cooperative data information, the order cooperative data information, the whole-flow production data information, the quality management data information, the finished product and/or material management data information, the warehouse management data information, the cost tracking accounting data information, the auxiliary material cooperative data information, the purchasing cooperative data information, the abnormal management data information and the instant communication data information are all set through information interaction processing.
In fig. 4, the conventional ERP is enterprise resource management, and the digital supply chain collaboration platform is an innovative platform of a management mode, and it is emphasized that collaboration in the division management mode changes the conventional supply chain serial mode into a multi-point collaboration mesh collaboration mode, which is essentially a person-to-person collaboration relationship based on numbers, and eliminates the bull penis effect of the conventional supply chain by high-efficiency collaboration of persons, so as to improve the flexibility of the enterprise supply chain. Human-to-human collaboration is based on a digital supply chain collaboration platform.
The supply chain collaboration is divided into an enterprise internal collaboration and an enterprise external collaboration according to different scenarios of the enterprise supply chain. Through the cooperation of the enterprises, barriers among departments in the enterprises are broken, so that the intrinsic activity of the enterprises is improved; and expanding the external boundary of the enterprise through the external collaboration of the enterprise. A digital credit system based on contract is established in a digital operation mode, a loose upstream-downstream cooperative relationship of a traditional supply chain is changed into a compact cooperative relationship, and an industrial community ecological system taking a head enterprise as a tap is established. The differences between the above-described digital supply chain collaboration platform and the conventional information management system are shown in table 1 below:
TABLE 1 differentiation of digital supply chain collaboration platform from traditional information management systems
| Digital Supply chain collaboration (Supply Force) | Traditional information management system |
| Expanding to upstream and downstream enterprises, and managing mode of virtual industry communities | Management within an enterprise or of a business |
| Implementing the operation of suppliers across departments in a multiparty collaboration manner inside an enterprise | Form information transfer from department to department |
| Information sharing and synchronous operation are realized by cooperation with multiple parties of upstream and downstream enterprises | Order delivery and validation |
| Implementing multi-party mesh-type synchronous collaborative work of supply chain | Supply chain single point operation |
| It is emphasized that a person-to-person active cooperative manner is used to accomplish a job | Passive circulation of forms and information |
| Supply chain end-to-end management, digital end-to-end flow | Information incoherence, fault formation island effect of information |
| Real-time data visualization operation from end to end of provisioning chain | Report presentation for information collection |
| Multiparty collaborative capability of links of a supply chain | Point-to-point mode of operation |
| Mutual supervision among supply chain flow nodes and interaction between links | The upper link and the lower link are not directly related |
| Emphasizing the overall effect of supply chain operation | Local effects of supply chain flow |
| Process co-management of supply chains, e.g. production co-ordination, quality co-ordination, etc | Function management of supply chain |
| Establishing vendor credit mechanisms with digitized end-to-end closed loop operation | Isolated systems, which are difficult to form for effective management of suppliers |
| Emphasis is placed on the user experience of the internet platform, | In the form operation mode |
| The platform can be applied according to the service development, and has strong expansibility | Expansibility and flexibility loss |
| Cloud deployment and controllable safety | Local deployment, high cost, high risk |
| Platform custom development tool supporting enterprise to make improvement by itself | Improved support by external suppliers |
| The platform can flexibly configure the flow nodes according to the service change | The system is difficult to adapt to the change of the service |
From table 1: the digital supply chain collaboration platform emphasizes the numeric-based human-to-human collaboration. Whereas traditional informative systems (e.g., ERP, MES, etc.) are form information based delivery. The former is dynamic, real-time, behavior triggered; the latter is static, instant, flow triggered.
The following describes the embodiments of the present invention in further detail. The following examples are illustrative of the present invention and are not intended to limit the scope of the invention.
Example 1
Some U brand adopts a cooperation platform for implementing a digital supply chain, and realizes a 'light and quick reverse' mode of clothing manufacture in a cooperation operation mode. The U brand links to 200 more suppliers upstream, realizing the U brand industry community system. Six months after the platform was online, the actual effect of the U brand industry community was evaluated. As shown in fig. 5, the effect is very obvious, and the expected effect of platform implementation is achieved. The U brand wins fast, and based on an industrial community, the end-to-end linkage operation of the supply chain is realized, and the quick response capability from ordering to store is realized for 3-5 days. Due to the improvement of quick response capability, the U brand can store inventory in a non-traditional manner. The U brand is fed back according to the market demands, the U brand is supplied in a quick strain mode, and especially when special conditions are met, the U brand and suppliers thereof can timely and quickly increment, and/or cancel decisions of production and the like, so that the storage is avoided. When an emergency problem occurs, a crisis handling response is performed.
The above examples illustrate only a few embodiments of the invention, which are described in detail and are not to be construed as limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (2)
1. A digital supply chain collaboration platform, characterized by: the system comprises a manufacturer module, a raw material manufacturer module, a data acquisition layer module, a data integration and/or processing layer module, a big data analysis layer module and a micro-application function management layer module; the manufacturer module and the raw material manufacturer module acquire data information through a data acquisition layer module, and the interaction comprises purchasing processing data information, design processing and/or research and development processing data information, planning processing data information, electronic commerce processing and order processing data information and outsourcing processing data information; the data acquisition layer module, the data integration and/or processing layer module and the big data analysis layer module are used for carrying out data superposition and information interaction processing, and terminal processing is carried out in a manually operable mode or a remote operation mode through the micro-application function management layer module;
The micro-application function management layer module comprises any one of the processes: capacity and supply and demand plan data information, intelligent group data information, production cooperative data information, order cooperative data information, whole-flow production data information, quality management data information, finished product and material management data information, warehouse management data information, cost tracking accounting data information, surface auxiliary material cooperative data information, purchase cooperative data information, abnormal management data information and instant communication data information, wherein any two data information are set through information interaction processing;
the construction method of the digital supply chain collaboration platform comprises the following steps: (1) Taking the order as a central line, constructing a collaboration model among all parts in the enterprise, and between the enterprise and an upstream enterprise and/or a downstream enterprise; (2) Constructing a monitoring matrix data model of the whole order completion by taking a client of the order as a central line; (3) Constructing analysis models under an order driving end-to-end supply chain, a logistics driving end-to-end supply chain, a production process driving end-to-end supply chain, a cost driving end-to-end supply chain and a quality driving end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; (4) Performing information interaction between any two models in the steps (1) - (3), and constructing a digital supply chain collaboration platform;
wherein: in the step (1), the collaborative model comprises a brand manufacturer module, a designer module, a raw material manufacturer module, a producer module, a logistics module and a supply chain order module, all modules of the collaborative model independently use the supply chain order module as a core carrier to perform information interaction, wherein the brand manufacturer module and the supply chain order module perform market planning information interaction, supply and demand planning information interaction and exhibition information interaction through an online platform mode, a market store mode, an order meeting mode and a mobile service terminal mode; the designer module performs design push information interaction, design sample selection information interaction and raw material model selection information interaction with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the raw material supplier module performs order demand information interaction, plan purchase information interaction, exception handling information interaction, supplier side order basic information interaction and supplier side raw material supply information interaction with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the manufacturer module performs order receiving and production scheduling information interaction, production state tracking information interaction and abnormal condition processing information interaction processing with the supply chain order module through a remote network mobile terminal mode or a fixed point terminal mode; the logistics module is arranged in the module and is used for tracking information interaction processing of the dispatching process of each group of orders of the supply chain order module;
the manufacturer module further comprises information interaction processing taking each group of order information as a carrier, and the real-time interactive processing of recording the output quantity data information, the time data information and the abnormal condition data information of the product is carried out by carrying out tracking and information input on the production process nodes of each specific group of orders;
In the step (2), the monitoring matrix data model is a process of independently performing information interaction supervision on orders in each group of pre-delivery, post-delivery and post-delivery phases of the order products, and the process comprises the following steps: product quality data information, process quality data information, incoming material quality monitoring data information, personnel cost data information, hydropower cost data information, order delivery and monitoring data information, production monitoring data information, material delivery and monitoring data information, order monitoring data information, logistics monitoring data information, production process monitoring data information, inventory monitoring data information, product inventory cost data information, and material inventory cost data information;
In the step (3), the analysis model is an order driving end-to-end supply chain for tracking the execution condition information interaction of the order, a logistics driving end-to-end supply chain analysis process for tracking the raw material data information and the finished product logistics data information, a production process driving end-to-end supply chain analysis process for tracking the whole production process of the order and the real-time data information of a production workshop, and an operation cost tracking method, which takes the supply chain as a center line, and comprises the following steps: the purchasing cost data information, the production cost data information, the logistics cost, the cost-driven end-to-end supply chain analysis processing of the internal data information, and the quality information for tracking orders comprise: raw material quality data information, production process quality data information and abnormal event monitoring data information are analyzed and processed by a quality drive end-to-end supply chain;
according to the characteristics of enterprises, multidimensional and multi-view analysis is performed, specifically, analysis with different dimensions is performed according to the scale, architecture and hierarchy of the enterprises; the analysis model including the end-to-end supply chain is set to avoid the error decision region of the manager.
2. The digital supply chain collaboration platform as specified in claim 1 wherein: when the manufacturer module is a wood manufacturer module, the manufacturer module tracks real-time data by taking the same order product as a carrier according to the requirements of clients, wherein the information comprises warehouse-in data information, package data information, paint data information, assembly data information and material-opening data information, and the information is subjected to information interaction processing.
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| CN112651715A (en) * | 2020-12-29 | 2021-04-13 | 太极计算机股份有限公司 | Cross-organization business collaborative flow map construction method, device and equipment |
| CN114022064A (en) * | 2021-10-26 | 2022-02-08 | 广州新丝路信息科技有限公司 | Associated transaction order management method, device and equipment based on transaction link |
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