CN111815265A - Digital supply chain collaboration platform and construction method - Google Patents
Digital supply chain collaboration platform and construction method Download PDFInfo
- Publication number
- CN111815265A CN111815265A CN202010555000.3A CN202010555000A CN111815265A CN 111815265 A CN111815265 A CN 111815265A CN 202010555000 A CN202010555000 A CN 202010555000A CN 111815265 A CN111815265 A CN 111815265A
- Authority
- CN
- China
- Prior art keywords
- data information
- supply chain
- information
- module
- order
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000010276 construction Methods 0.000 title claims abstract description 12
- 230000003993 interaction Effects 0.000 claims abstract description 70
- 238000004519 manufacturing process Methods 0.000 claims abstract description 58
- 238000012544 monitoring process Methods 0.000 claims abstract description 47
- 238000000034 method Methods 0.000 claims abstract description 41
- 238000004458 analytical method Methods 0.000 claims abstract description 30
- 239000011159 matrix material Substances 0.000 claims abstract description 12
- 238000011144 upstream manufacturing Methods 0.000 claims abstract description 12
- 238000013499 data model Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims description 65
- 238000007726 management method Methods 0.000 claims description 35
- 230000008569 process Effects 0.000 claims description 31
- 239000002994 raw material Substances 0.000 claims description 29
- 238000012384 transportation and delivery Methods 0.000 claims description 22
- 230000002159 abnormal effect Effects 0.000 claims description 15
- 239000000463 material Substances 0.000 claims description 13
- 238000007405 data analysis Methods 0.000 claims description 8
- 238000013439 planning Methods 0.000 claims description 7
- 238000013461 design Methods 0.000 claims description 6
- 230000010354 integration Effects 0.000 claims description 6
- 230000002452 interceptive effect Effects 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 3
- 239000013072 incoming material Substances 0.000 claims description 3
- 238000012946 outsourcing Methods 0.000 claims description 3
- 238000004806 packaging method and process Methods 0.000 claims description 3
- 239000003973 paint Substances 0.000 claims description 3
- 238000012827 research and development Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 239000002023 wood Substances 0.000 claims description 3
- 230000004888 barrier function Effects 0.000 abstract description 4
- 230000000694 effects Effects 0.000 description 14
- 230000006870 function Effects 0.000 description 7
- 230000006872 improvement Effects 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 238000011161 development Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- 238000012800 visualization Methods 0.000 description 2
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 230000003631 expected effect Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000035772 mutation Effects 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Data Mining & Analysis (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a construction method of a digital supply chain collaboration platform, which comprises the steps of taking an order as a central line, and constructing collaboration models among various functional departments in an enterprise and between the enterprise and upstream and/or downstream enterprises; constructing a monitoring matrix data model by taking a customer of an order as a central line; establishing an analysis model under an order-driven end-to-end supply chain, a logistics-driven end-to-end supply chain, a production process-driven end-to-end supply chain, a cost-driven end-to-end supply chain and a quality-driven 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 models to construct a digital supply chain cooperation platform. The platform constructed by the method is provided, so that the barriers among all departments in an enterprise can be broken through on one hand, and on the other hand, the enterprise is assisted to continuously expand the external boundary of the enterprise to form an industrial community ecosystem which takes a specific enterprise as a leading part and takes the same value chain as a base so as to meet the requirements of individuation and uncertainty of a consumer market.
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 this era, and has positive influence on consumption culture, living habits and even social value. The rapid, convenient and transparent consumption brought by the consumption of the internet impacts the traditional consumption consciousness, so that huge impact on concept is brought to the era, and the personalized demand is more and more obvious. Because of the generation and popularization of consumer interconnection, a social credit system is also established. The essence of the consumption internet is the efficient collaboration of people, goods and places in a virtual space.
However, on one hand, the consumption internet, especially the electric power company, provides the consumers with the convenience of shopping, and changes the consumption habits and social habits of the young, and on the other hand, the suppliers at the upstream of the industry chain have a continuous time, so that the online sales of most enterprises is low, and most enterprises are not profitable. There are general problems with the traditional manufacturing supply chain: the basic work is complicated, and a large amount of manpower is required; abnormal problems can not be found, tracked and solved in time; unstable lead cycle: the operation process is opaque and the management level is unclear; the raw material purchasing period is long, the raw material purchasing links are serial, and the purchasing and source finding are difficult; the quality is uncontrollable: raw materials and production quality are uncontrollable; poor flexibility: the supply chain process link is opaque and incoherent; data and information are not connected to form an information island, so that an island effect of a business process is caused, the information island effect causes the island effect of the process, the island effect of the process forms an invisible 'wall' between every two departments in an enterprise, and the invisible barrier between the departments greatly influences the human effect of the enterprise. Meanwhile, due to the asymmetry of information among enterprises, a trust crisis is generated for upstream and downstream cooperation of the enterprises, and the high-efficiency cooperation among the enterprises is also influenced; the information-oriented era is particularly important to solve the problems in the supply chain and realize the planned and reasonable cooperation of enterprises inside, outside, upstream and downstream enterprises.
Disclosure of Invention
In order to solve a series of problems of the traditional manufacturing supply chain, the invention is based on a digital supply chain cooperation mode, can help enterprises break through barriers among departments in the enterprises on one hand, and helps the enterprises to continuously expand external boundaries of the enterprises on the other hand so as to form an industrial community ecosystem which takes a specific enterprise as a leading part and takes the same value chain as a base, and the technical scheme is as follows in particular: a construction method of a digital supply chain collaboration platform comprises the following steps of (1) constructing collaboration models among all parts in an enterprise, between the enterprise and an upstream enterprise and/or a downstream enterprise by taking an order as a central line; (2) constructing a monitoring matrix data model of the completed whole order by taking a client of the order as a central line; (3) establishing an analysis model under an order-driven end-to-end supply chain, a logistics-driven end-to-end supply chain, a production process-driven end-to-end supply chain, a cost-driven end-to-end supply chain and a quality-driven end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; (4) and (4) carrying out information interaction between any two models in the steps (1) to (3) to construct a digital supply chain cooperation platform.
As an improvement, in the step (1), the collaborative model includes a brand merchant module, a designer module, a raw material merchant module, a production plant module, a logistics module and a supply chain order module, which all individually use the supply chain order module as a core carrier to perform information interaction, wherein the brand merchant module performs market planning information interaction, supply and demand plan information interaction and exhibition information interaction with the supply chain order module through an online platform mode, a market store mode, an order party mode and a mobile service terminal mode; the designer module performs design pushing information interaction, design sampling information interaction and raw material model selection information interaction with a supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the raw material supplier module carries out processing of order demand information interaction, plan purchase information interaction, exception handling information interaction, supplier end order basic information interaction and supplier supply raw material information interaction with the supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the manufacturer module carries out order receiving and/or scheduling information interaction, production state tracking information interaction and abnormal condition processing information interaction with a supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the logistics module is arranged in the module and 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 interactive processing which takes each group of order information as a carrier, and carries out interactive processing for recording output quantity data information, time data information and abnormal condition data information of a product in real time by tracking and information input of production process nodes on each specific group of orders.
As an improvement, when the producer module is a wood manufacturer module, the producer module comprises warehousing data information, packaging data information, paint data information, assembly data information and cutting data information, and the information uses the same order product as a carrier to track real-time data and perform information interaction processing.
As an improvement, in step (2), the monitoring matrix data model is used for independently performing the processing of order monitoring in each set of order product pre-delivery stage, delivery stage and post-delivery stage, wherein the processing involves, but is not limited to, any one of the following information interaction monitoring ranges: order delivery and/or monitoring data information, production monitoring data information, material delivery and/or monitoring data information, order monitoring data information, logistics monitoring data information, production process monitoring data information, inventory monitoring data information, finished product quality data information, process quality data information, incoming material quality monitoring data information, finished product inventory cost data information, personnel cost data information, water and electricity cost data information, material inventory cost data information.
As an improvement, the analysis model in step (3) is an order-driven end-to-end supply chain with the supply chain as a center line for tracking the interaction of the execution condition information of the order, and/or a logistics-driven end-to-end supply chain analysis process for tracking the raw material data information and/or the finished product logistics data information, and/or a production process-driven end-to-end supply chain analysis process for tracking the real-time data information of the order production overall process and/or the production shop, and/or for tracking the operation cost, and includes any one of the following ranges: cost-driven end-to-end supply chain analysis processing of data-in-data information, procurement cost data information, production cost data information, logistics cost, and/or quality information for tracking orders includes, without limitation, any of the following ranges: quality-driven end-to-end supply chain analysis processing of raw material quality data information, production process quality data information, abnormal event monitoring data information.
Meanwhile, the invention also provides another specific implementation way, and the digital supply chain collaboration platform constructed by adopting the construction method comprises a manufacturer module, a raw material supplier 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 and interact data information through the data acquisition layer module, but not limited to any one of the following ranges: purchasing processing data information, designing processing and/or research and development processing data information, planning processing data information, E-commerce processing and/or 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 data superposition and information interaction processing, and the micro application function management layer module is used for carrying out terminal processing in a manual operable mode or a remote operation mode.
As an improvement, the micro application function management layer module includes but is not limited to any one of the following processes: the system comprises capacity and/or supply and demand plan data information, intelligent order data information, production cooperation data information, order cooperation data information, full-process production data information, quality management data information, finished product and/or material management data information, warehouse management data information, cost tracking and accounting data information, surface and auxiliary material cooperation data information, purchasing cooperation data information, abnormal management data information and instant communication data information, wherein any two data information are set through information interaction processing.
Has the advantages that: the invention provides a digital supply chain cooperation platform and a construction method thereof, which aim at discrete traditional manufacturing industries, such as shoe and clothes industry, furniture manufacturing industry and the like, realize the human-to-human cooperation and the human-machine cooperation of enterprises by constructing a cooperation model, a monitoring matrix data model and an analysis model and then carrying out a digital supply chain cooperation platform which is created by mutual information interaction, create industrial communities on the same value chain for the enterprises in a supply chain cooperation mode, and realize the flexible supply chain capacity for the enterprises in an industrial community mode.
The basic point is that the digital supply chain cooperation mode is adopted, the purposes of capacity sharing, inventory sharing and sharing between upstream and downstream of an enterprise are achieved, planning cooperation, delivery cooperation and abnormal cooperation of the enterprise are achieved, and the purpose is to achieve the end-to-end supply chain operation process for the enterprise: visualization, synergy, community localization and intellectualization.
Drawings
FIG. 1 is a schematic structural diagram of a digital supply chain collaboration model according to the present invention.
FIG. 2 is a schematic diagram of a monitoring matrix data model of the digital supply chain according to the present invention.
FIG. 3 is a schematic diagram of an analysis model of the digital supply chain according to the present invention.
FIG. 4 is a schematic structural diagram of a collaboration platform of a digital supply chain according to the present invention.
Fig. 5 is closed-loop management effect data of the supply chain collaboration platform in embodiment 1 of the present invention.
Detailed Description
The figures of the present invention are further described below in conjunction with the embodiments.
A construction method of a digital supply chain collaboration platform comprises the following steps of (1) constructing collaboration models among all parts in an enterprise, between the enterprise and an upstream enterprise and/or a downstream enterprise by taking an order as a central line; (2) constructing a monitoring matrix data model of the completed whole order by taking a client of the order as a central line; (3) establishing an analysis model under an order-driven end-to-end supply chain, a logistics-driven end-to-end supply chain, a production process-driven end-to-end supply chain, a cost-driven end-to-end supply chain and a quality-driven end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; (4) and (4) carrying out information interaction between any two models in the steps (1) to (3) to construct a digital supply chain cooperation platform.
In the step (1), the collaborative model comprises a brand merchant module, a designer module, a raw material merchant module, a production plant module, a logistics module and a supply chain order module, wherein the brand merchant module and the supply chain order module are respectively and independently used for information interaction by taking the supply chain order module as a core carrier, and the brand merchant module carries out market planning information interaction, supply and demand plan information interaction and exhibition hall information interaction with the supply chain order module through an online platform mode, a market store mode, an ordering party mode and a mobile service terminal mode; the designer module performs design pushing information interaction, design sampling information interaction and raw material model selection information interaction with a supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the raw material supplier module carries out processing of order demand information interaction, plan purchase information interaction, exception handling information interaction, supplier end order basic information interaction and supplier supply raw material information interaction with the supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the manufacturer module carries out order receiving and/or scheduling information interaction, production state tracking information interaction and abnormal condition processing information interaction with a supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the logistics module is arranged in the module and used for tracking information interaction processing of the dispatching process of each group of orders of the supply chain order module.
The producer module also comprises information interactive processing which takes each group of order information as a carrier, and carries out interactive processing for recording the output quantity data information, the time data information and the abnormal condition data information of the product in real time by tracking and information input of production process nodes on each specific group of orders.
When the producer module is a wood manufacturer module, the producer module comprises warehousing data information, packaging data information, paint data information, assembling data information and cutting data information, and the information is subjected to real-time data tracking by taking the same order product as a carrier to perform information interaction processing.
The collaboration between all departments inside the collaborative model division enterprise and the external collaboration between the enterprise and the upstream and downstream enterprises are shown in the attached figure 1, and the essence of the digital supply chain collaboration mode is to establish a direct human-to-human collaboration relationship. Whether internal to an enterprise or external to an enterprise, it is essential that each party's body surround a business, the communication and collaboration activities between targeted individuals. The efficiency of this action, in turn, limits the achievement of business objectives.
Therefore, the efficiency of collaboration becomes one of the key factors for enterprise efficiency. The coordination of the supply chain is critical in view of the characteristics of the discrete type conventional manufacturing industry. Therefore, the defined digital supply chain cooperation model can realize the cooperation inside an enterprise and the cooperation outside the enterprise by digitally linking all main body related parties by applying the technologies of digital technology, internet technology, artificial intelligence technology, big data analysis and the like according to different internal business forms of the supply chain.
The traditional manufacturing enterprise is attached to the development of customers (clients), and is a service body which centers on the quality, delivery and cost of products. The premise of enabling enterprises to achieve efficient collaboration is the layout of monitoring points, the real-time performance of numbers, the internal logic relevance among the numbers and the visibility of an operation process; according to the premise, in order to improve the service level of an enterprise, the monitoring matrix data model is distributed in different stages and processes of product order delivery by taking a customer order as a main line, and data acquisition, analysis and real-time monitoring are realized according to the monitoring matrix shown in the figure 2. Through visualization of production, delivery and quality processes, interaction of all links of production, delivery and quality is achieved, cooperation efficiency inside an enterprise is improved, and a monitoring matrix data model is set.
Specifically, in step (2), the monitoring matrix data model is used for independently performing processing of order related to, but not limited to, any information interaction supervision within the following range in each set of order product pre-delivery stage, delivery stage and post-delivery stage: order delivery and/or monitoring data information, production monitoring data information, material delivery and/or monitoring data information, order monitoring data information, logistics monitoring data information, production process monitoring data information, inventory monitoring data information, finished product quality data information, process quality data information, incoming material quality monitoring data information, finished product inventory cost data information, personnel cost data information, water and electricity cost data information, material inventory cost data information.
The development of the enterprise is a continuous mutation process in a crisis embrace, the operation of the enterprise needs a diagnosis report rather than a cadaver test report, and a manager must have a clear cognition on the operation condition of the enterprise to make a good strategy for taking medicines according to symptoms,
fig. 3 is a data analysis model defined for a conventional manufacturing industry at different latitudes, in particular: the analysis model in step (3) is an order-driven end-to-end supply chain with the supply chain as a center line and used for tracking the interaction of the execution condition information of the order, and/or a logistics-driven end-to-end supply chain analysis process for tracking the raw material data information and/or the finished product logistics data information, and/or a production process-driven end-to-end supply chain analysis process for tracking the real-time data information of the order production overall process and/or the production workshop, and/or for tracking the operation cost, and includes any one of the following ranges: cost-driven end-to-end supply chain analysis processing of data-in-data information, procurement cost data information, production cost data information, logistics cost, and/or quality information for tracking orders includes, without limitation, any of the following ranges: quality-driven end-to-end supply chain analysis processing of raw material quality data information, production process quality data information, abnormal event monitoring data information.
According to the characteristics of enterprises, multi-dimensional and multi-view analysis is performed, and an analysis model including but not limited to the six end-to-end supply chains is set to avoid the decision error zone which is partially generalized by managers.
Specifically, the method comprises the following steps: (1) multi-level operation condition analysis: analyzing at different latitudes according to the scale, the architecture and the hierarchy of the enterprise; (2) order-driven end-to-end analysis: tracking the execution condition of the order from the perspective of the customer; (3) end-to-end analysis driven by logistics: from the delivery angle, the real-time tracking of the material flow of the raw materials and the finished products is realized; (4) production-driven end-to-end analysis: tracking the whole production process of the order to realize real-time control on the condition of the production workshop; (5) cost-driven end-to-end analysis; monitoring the end-to-end operation cost of an enterprise, wherein the monitoring comprises purchasing cost, production cost, logistics cost and the like; (6) quality-driven end-to-end analysis: and monitoring quality 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 way, and the digital supply chain collaboration platform constructed by adopting the construction method comprises a manufacturer module, a raw material supplier 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 and interact data information through the data acquisition layer module, but not limited to any one of the following ranges: purchasing processing data information, designing processing and/or research and development processing data information, planning processing data information, E-commerce processing and/or 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 data superposition and information interaction processing, and the micro application function management layer module is used for carrying out terminal processing in a manual operable mode or a remote operation mode.
The micro application function management layer module includes but is not limited to any one of the following processes: the system comprises capacity and/or supply and demand plan data information, intelligent order data information, production cooperation data information, order cooperation data information, full-process production data information, quality management data information, finished product and/or material management data information, warehouse management data information, cost tracking and accounting data information, surface and auxiliary material cooperation data information, purchasing cooperation data information, abnormal management data information and instant communication data information, wherein any two data information are set through information interaction processing.
Referring to fig. 4, a traditional ERP is enterprise resource management, a digital supply chain collaboration platform is an innovative platform of a management mode, and emphasizes collaboration under a division work management mode, which changes a traditional supply chain string mode into a multipoint collaboration mesh collaboration mode, and the essence is a digital-based human-human collaboration relationship, and eliminates a bullwhip effect of a traditional supply chain through human-human efficient collaboration, so as to improve the flexibility of the enterprise supply chain. The human-human collaboration is based on a digital supply chain collaboration platform.
The supply chain collaboration is divided into enterprise internal collaboration and enterprise external collaboration according to different scenes of the enterprise supply chain. Through enterprise internal cooperation, barriers among all departments inside an enterprise are broken, and internal activity of the enterprise is improved; and the external boundary of the enterprise is expanded through the external cooperation of the enterprise. A digital credit system based on a contract is established in a digital operation mode, a loose upstream-downstream cooperative relationship of a traditional supply chain is changed into a tight cooperative relationship, and an industrial community ecological system taking head enterprises as leading is established. The difference between the above-mentioned digital supply chain collaboration platform and the conventional information management system is shown in table 1 below:
TABLE 1 differences between digital supply chain collaboration platforms and traditional information management systems
| Digital Supply chain coordination (Supply Force) | Legacy information management system |
| Management mode for expanding to upstream and downstream enterprises and virtual industry community | Management of an enterprise or a business |
| The operation of the supplier is realized in a multi-party cooperative mode in the enterprise and across departments | Form information between departmentsTransfer of |
| With the cooperation of multiple parties of upstream and downstream enterprises, the information sharing and the synchronous operation are realized | Order delivery and confirmation |
| Synchronized collaborative work of multi-party mesh type for realizing supply chain | Supply chain single point operation |
| It is emphasized that the human-human initiative cooperative operation mode is used for completing a work | Passive circulation of forms and information |
| End-to-end management of supply chain, digital end-to-end smoothness | Information incoherence and information fault island effect |
| Supply chain end-to-end real-time data visualization operation | Information aggregated report presentation |
| Multi-party cooperative operation capability of various links of supply chain | Point-to-point mode of operation |
| Mutual supervision and interaction between supply chain process nodes and up-down links | The upper and lower links have no direct relation |
| Emphasizing the overall effect of supply chain operation | Local effects of supply chain processes |
| Process coordination management of supply chain, e.g. production coordination, quality coordination, etc | Function management of supply chain |
| Establishment of supplier credit mechanism by digitized end-to-end closed loop operation | Isolated system, difficult to form effective management of suppliers |
| Emphasizes the user experience of the internet platform, | in a form-type operation mode |
| The platform can increase the application according to the business development and has strong expansibility | Expansibility, flexibility loss |
| Cloud deployment with controllable security | Local deployment, high cost, high risk |
| Platform-defined development tools to support enterprise self-improvement | Need for improved support from external suppliers |
| The platform can flexibly configure the flow nodes according to the change of the service | The system is difficult to adapt to the change of the service |
From table 1, it can be seen: a digital supply chain collaboration platform emphasizing human-to-human collaboration on a digital basis. Traditional information systems (such as ERP, MES, etc.) are based on form information. The former is dynamic, real-time, behavior-triggered; the latter is static, instantaneous, flow triggered.
The following describes in further detail embodiments of the present invention. The following examples are provided to illustrate the present invention, but are not intended to limit the scope of the present invention.
Example 1
A certain U brand adopts a digital supply chain cooperation platform, and realizes a 'light, fast and reverse' mode of clothing manufacturing in a cooperation operation mode. The U brand links 200 suppliers on the upstream, and an industrial community system of the U brand is realized. And the actual effect of the U brand industry community is evaluated six months after the platform is online. As shown in fig. 5, the effect is very obvious, and the expected effect of platform implementation is achieved. The U brand wins with "soon", with the industry community as the basis, has realized the end-to-end linkage operation of supply chain, from the fast reaction ability of ordering to 3 ~ 5 days in store. Due to the improvement of quick response capability, the U brand can be stored in an inventory mode without the traditional mode. The U brand feeds back according to the market demand and quickly meets the supply, and particularly when special conditions are met, the U brand and a supplier thereof can quickly increase the quantity and/or cancel the decision of production and the like in time, so that stock stocking is avoided. When an emergency problem occurs, a crisis situation handling response is performed.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A construction method of a digital supply chain collaboration platform is characterized by comprising the following steps: (1) taking the order as a central line, constructing a collaborative model among all parts in the enterprise, the enterprise and the upstream enterprise and/or the downstream enterprise; (2) constructing a monitoring matrix data model of the completed whole order by taking a client of the order as a central line; (3) establishing an analysis model under an order-driven end-to-end supply chain, a logistics-driven end-to-end supply chain, a production process-driven end-to-end supply chain, a cost-driven end-to-end supply chain and a quality-driven end-to-end supply chain by taking a plurality of groups of end-to-end supply chains as central lines; (4) and (4) carrying out information interaction between any two models in the steps (1) to (3) to construct a digital supply chain cooperation platform.
2. The method for constructing the collaboration platform of the digital supply chain according to claim 1, wherein: in the step (1), the collaborative model comprises a brand merchant module, a designer module, a raw material merchant module, a production plant module, a logistics module and a supply chain order module, wherein the brand merchant module and the supply chain order module are respectively and independently used for information interaction by taking the supply chain order module as a core carrier, and the brand merchant module carries out market planning information interaction, supply and demand plan information interaction and exhibition hall information interaction with the supply chain order module through an online platform mode, a market store mode, an ordering party mode and a mobile service terminal mode; the designer module performs design pushing information interaction, design sampling information interaction and raw material model selection information interaction with a supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the raw material supplier module carries out processing of order demand information interaction, plan purchase information interaction, exception handling information interaction, supplier end order basic information interaction and supplier supply raw material information interaction with the supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the manufacturer module carries out order receiving and/or scheduling information interaction, production state tracking information interaction and abnormal condition processing information interaction with a supply chain order module in a remote network mobile terminal mode or a fixed point terminal mode; the logistics module is arranged in the module and used for tracking information interaction processing of the dispatching process of each group of orders of the supply chain order module.
3. The method for constructing the collaboration platform of the digital supply chain according to claim 2, wherein: the producer module also comprises information interactive processing which takes each group of order information as a carrier, and carries out interactive processing for recording the output quantity data information, the time data information and the abnormal condition data information of the product in real time by tracking and information input of production process nodes on each specific group of orders.
4. The method for constructing the collaboration platform of the digital supply chain according to claim 3, wherein: when the producer module is a wood manufacturer module, the producer module comprises warehousing data information, packaging data information, paint data information, assembling data information and cutting data information according to the requirements of customers, and the information uses the same order product as a carrier to track real-time data and perform information interaction processing.
5. The method for constructing the collaboration platform of the digital supply chain according to claim 1, wherein: in the step (2), the monitoring matrix data model is used for independently processing the order in any one of the following information interaction supervision ranges, including but not limited to the following ranges, in each set of order products in the pre-delivery stage, the delivery stage and the post-delivery stage: order delivery and/or monitoring data information, production monitoring data information, material delivery and/or monitoring data information, order monitoring data information, logistics monitoring data information, production process monitoring data information, inventory monitoring data information, finished product quality data information, process quality data information, incoming material quality monitoring data information, finished product inventory cost data information, personnel cost data information, water and electricity cost data information, material inventory cost data information.
6. The method for constructing the collaboration platform of the digital supply chain according to claim 1, wherein: the analysis model in step (3) is an order-driven end-to-end supply chain with the supply chain as a center line and used for tracking the interaction of the execution condition information of the order, and/or a logistics-driven end-to-end supply chain analysis process for tracking the raw material data information and/or the finished product logistics data information, and/or a production process-driven end-to-end supply chain analysis process for tracking the real-time data information of the order production overall process and/or the production workshop, and/or for tracking the operation cost, and includes any one of the following ranges: cost-driven end-to-end supply chain analysis processing of data-in-data information, procurement cost data information, production cost data information, logistics cost, and/or quality information for tracking orders includes, without limitation, any of the following ranges: quality-driven end-to-end supply chain analysis processing of raw material quality data information, production process quality data information, abnormal event monitoring data information.
7. A digital supply chain collaboration platform constructed in accordance with the construction method of any one of claims 1 to 6, wherein: the system comprises a manufacturer module, a raw material supplier 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 and interact data information through the data acquisition layer module, but not limited to any one of the following ranges: purchasing processing data information, designing processing and/or research and development processing data information, planning processing data information, E-commerce processing and/or 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 data superposition and information interaction processing, and the micro application function management layer module is used for carrying out terminal processing in a manual operable mode or a remote operation mode.
8. The digital supply chain collaboration platform constructed by the construction method of claim 7, wherein: the micro application function management layer module includes but is not limited to any one of the following processes: the system comprises capacity and/or supply and demand plan data information, intelligent order data information, production cooperation data information, order cooperation data information, full-process production data information, quality management data information, finished product and/or material management data information, warehouse management data information, cost tracking and accounting data information, surface and auxiliary material cooperation data information, purchasing cooperation data information, abnormal management data information and instant communication data information, wherein any two data information are set through information interaction processing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010555000.3A CN111815265A (en) | 2020-06-17 | 2020-06-17 | Digital supply chain collaboration platform and construction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010555000.3A CN111815265A (en) | 2020-06-17 | 2020-06-17 | Digital supply chain collaboration platform and construction method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111815265A true CN111815265A (en) | 2020-10-23 |
Family
ID=72845882
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010555000.3A Pending CN111815265A (en) | 2020-06-17 | 2020-06-17 | Digital supply chain collaboration platform and construction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111815265A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN114595265A (en) * | 2020-12-04 | 2022-06-07 | 上海唯链信息科技有限公司 | Data processing method, device, storage medium and equipment |
| CN116934177A (en) * | 2023-09-14 | 2023-10-24 | 中交二公局东萌工程有限公司 | Enterprise production task management data tracking analysis processing system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020042755A1 (en) * | 2000-10-05 | 2002-04-11 | I2 Technologies, Us, Inc. | Collaborative fulfillment in a distributed supply chain environment |
| CN105069604A (en) * | 2015-09-11 | 2015-11-18 | 浙江中烟工业有限责任公司 | Tobacco logistics information collaborative management system based on Internet of Things |
| CN107169824A (en) * | 2017-05-08 | 2017-09-15 | 内蒙古包钢钢联股份有限公司 | A kind of ecommerce B2B2B plateform systems for manufacturing enterprise |
| CN108734540A (en) * | 2017-04-25 | 2018-11-02 | 上海缇安埃信息科技有限公司 | A kind of fashion industry intelligent anti-flexible supply chain collaborative platform and its working method soon |
| CN109934699A (en) * | 2019-02-01 | 2019-06-25 | 深圳尚融供应链科技有限公司 | A kind of dominant supply chain finance implementation method, system and terminal device |
| CN110895734A (en) * | 2018-09-13 | 2020-03-20 | 董志杰 | Intelligent factory system |
-
2020
- 2020-06-17 CN CN202010555000.3A patent/CN111815265A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020042755A1 (en) * | 2000-10-05 | 2002-04-11 | I2 Technologies, Us, Inc. | Collaborative fulfillment in a distributed supply chain environment |
| CN105069604A (en) * | 2015-09-11 | 2015-11-18 | 浙江中烟工业有限责任公司 | Tobacco logistics information collaborative management system based on Internet of Things |
| CN108734540A (en) * | 2017-04-25 | 2018-11-02 | 上海缇安埃信息科技有限公司 | A kind of fashion industry intelligent anti-flexible supply chain collaborative platform and its working method soon |
| CN107169824A (en) * | 2017-05-08 | 2017-09-15 | 内蒙古包钢钢联股份有限公司 | A kind of ecommerce B2B2B plateform systems for manufacturing enterprise |
| CN110895734A (en) * | 2018-09-13 | 2020-03-20 | 董志杰 | Intelligent factory system |
| CN109934699A (en) * | 2019-02-01 | 2019-06-25 | 深圳尚融供应链科技有限公司 | A kind of dominant supply chain finance implementation method, system and terminal device |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114595265A (en) * | 2020-12-04 | 2022-06-07 | 上海唯链信息科技有限公司 | Data processing method, device, storage medium and equipment |
| WO2022116613A1 (en) * | 2020-12-04 | 2022-06-09 | Shanghai Weilian Information Technology Co., Ltd. | Method and apparatus for processing data, storage medium and device |
| 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 |
| CN116934177A (en) * | 2023-09-14 | 2023-10-24 | 中交二公局东萌工程有限公司 | Enterprise production task management data tracking analysis processing system |
| CN116934177B (en) * | 2023-09-14 | 2023-12-08 | 中交二公局东萌工程有限公司 | Enterprise production task management data tracking analysis processing system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111815265A (en) | Digital supply chain collaboration platform and construction method | |
| Love et al. | Organizing innovation: Complementarities between cross-functional teams | |
| Jeyanthi | INDUSTRY 4.0: The combination of the Internet of Things (IoT) and the Internet of People (IoP) | |
| Sakhuja et al. | Service supply chain: an integrated conceptual framework | |
| Senvar et al. | An overview to industry 4.0 | |
| Dezi et al. | Open Total Quality Management in the Circular Economy age: a social enterprise perspective through the case of Patagonia | |
| Ivanov et al. | Operations and supply chain strategy | |
| Baïna et al. | New paradigms for a product oriented modelling: Case study for traceability | |
| Morya et al. | Aligning interests of SMEs and a focal firm (MNE) in a global supply chain setup | |
| Phonsuwan et al. | Simulation for OTOP supply chain with hybrid push-pull flow control | |
| Zhigang et al. | Research on enterprise application integration categories and strategies | |
| Yang | Relationships between e-commerce and supply chain management | |
| Binalla | Strategic supplier partnership: A source of competitive advantage | |
| Alves et al. | Industry 4.0: why industries should become more digital in the post-pandemic era–the kfactory case study | |
| Sarim et al. | A Comprehensive Review of Frameworks and Research Directions in Digital Supply Chain | |
| Sirine et al. | Value Chain and Industry 4.0: A Learning from Sritex Experience | |
| Wang et al. | Research and Application of Material Data for Digital Manufacturing | |
| Huang et al. | Management information system applied in the logistics | |
| Mert et al. | A SUCCESS-SOLUTION FOR SMART COMPANIES: BUSINESS INTELLIGENCE ANALYTICS | |
| Yu et al. | Research on business process management-based supply chain system | |
| Asfoura et al. | Pricing-model for marketing of ferp workflow as product | |
| Cheng | Study of the model of agile supply chain management | |
| Schimpf et al. | Roadmapping Field Study Update 2023 | |
| Ren et al. | A study of practice of collaborative process-based supply chain in Chinese catering industry | |
| Yuan et al. | Internet-based Collaborative Design, Manufacturing, and Supply Chain for Manufacturing Companies |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |