CN111178827B - Cross-unit cooperation matching method and system based on cloud platform - Google Patents
Cross-unit cooperation matching method and system based on cloud platform Download PDFInfo
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Abstract
The invention relates to a cross-unit cooperation matching method and system based on a cloud platform. The method comprises the following steps: the method comprises the steps that the capability of a task receiver is published in a cloud platform; the task proposer issues inquiry information in the cloud platform; the cloud platform recommends according to the quotation scheme and the capability information issued by the task adapting party, and the task proposing party prefers the quotation scheme issued by the task adapting party; the task proposer places trial production orders to the optimized task acceptors through the cloud platform; the task proposer carries out disc-teaching indication through the cloud platform, namely the task acceptors in the optimal winning bid are indicated; the task proposer signs a contract with the winning task receiver through the cloud platform. The invention mainly builds the trade market of various capacities and products, and the core functions mainly comprise demand disclosure and release, capacity optimization, sample trial production competition, trade achievement, online contract signing and the like, so that the mode of cooperation of each unit can be changed from closed solidification to competitive configuration.
Description
Technical Field
The invention belongs to the technical fields of information technology and intelligent manufacturing, and particularly relates to a cross-unit cooperation matching method and system based on a cloud platform.
Background
The enterprise matched collaboration service platform integrates and develops the existing informatization manufacturing technology with the emerging information technologies such as cloud computing, internet of things, service computing, intelligent science and high-efficiency computing, and the like, provides product (service) information release and display for enterprises, and enables network communication between supply and demand parties; the matched product (service) information is quickly and automatically provided for both supply and demand parties; according to enterprise demands, providing more convenient and more preferential technical attack and development and other value-added services for both supply and demand parties; the intelligent development of the manufacturing industry is quickened, and the autonomous innovation capability and market competitiveness of manufacturing enterprises in China are improved.
The invention is used as a popularization and application of a matched collaboration service platform, can pull enterprises to achieve the goals of information intercommunication, resource sharing, capability collaboration, open collaboration and mutual win-win, and supports the transformation of the collaboration mode of each unit from closed solidification to competitive configuration.
With the introduction and the increasing development of the industrial 4.0 concept, the fourth revolution leading from intelligent manufacturing, the study of new modes featuring internet of things and manufacturing services has become an important direction of the development of the twenty-first century manufacturing industry. The Chinese manufacturing industry gradually realizes the bottleneck of development through the high-speed development of recent years, and faces the development direction of transformation and upgrading, intelligent, digital and networking manufacturing as the domestic future manufacturing industry.
The cloud platform construction is the construction of a digital scientific research production operation system taking the whole life cycle management of the product as a core. The platform construction process is a process of continuously and deeply exploring and practicing the digitized transformation upgrading of enterprises, and in the process, commonality product achievements, management modes and experience methods can be formed. Firstly, a proprietary cloud platform focuses on implementation and popularization inside a certain group company to form a cloud platform and a product system which meet the requirements of units inside the group. After the trial is advanced in the group, the method is gradually popularized towards society, large-scale manufacturing enterprises are used as service objects, the development of the proprietary collaborative sharing manufacturing platform in the enterprises is promoted, and finally the industrialization scale is achieved, so that the industrialization effect is formed.
The current cross-unit cooperation matching system based on the cloud platform cannot recommend the receiver to the acquirer according to the requirement, so that the intelligent of the cross-unit cooperation matching system is poor.
Disclosure of Invention
Aiming at future development trends of personalized, served and socialized manufacturing industries, the invention solves the two outstanding challenges faced by the cloud platform environment:
(1) The cloud and cooperation matching on the capacity resources serve as the lead, a manufacturing capacity transaction market is created, internal resources are dynamically coiled, an on-demand dynamic cooperation network is built, and competitive configuration and synergy are achieved.
(2) The cross-unit collaborative design production is taken as a core, and the scientific research production digitization, networking and intellectualization processes of enterprises are cooperatively propelled through a supply chain.
The method and the tool based on the cloud platform build a digital scientific research production operation system taking the whole life cycle management of the product as a core, form a commonality product achievement, management mode and experience method, and assist enterprises (groups) in the cloud manufacturing environment to analyze, decide and execute social resources and capacity utilization.
The technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides a cross-unit collaboration matching method based on a cloud platform, including the following steps:
1) The method comprises the steps that the capability of a task receiver is published in a cloud platform;
2) The task proposer issues inquiry information in the cloud platform;
3) The cloud platform recommends according to the quotation scheme and the capability information issued by the task adapting party, and the task proposing party prefers the quotation scheme issued by the task adapting party;
4) The task proposer places trial production orders to the optimized task acceptors through the cloud platform;
5) The task proposer carries out disc-teaching indication through the cloud platform, namely the task acceptors in the optimal winning bid are indicated;
6) The task proposer signs a contract with the winning task receiver through the cloud platform.
In a second aspect, the present invention provides a cross-unit collaboration support system based on a cloud platform, comprising:
the capacity release module is used for releasing the capacity of the task receiver in the cloud platform;
the public inquiry and release module is used for a task provider to release inquiry information in the cloud platform;
the quotation scheme comprehensive module is used for recommending according to the quotation scheme and the capability information issued by the task carrier in the cloud platform, and the task provider prefers the quotation scheme issued by the task carrier;
the trial production order placing module is used for placing a trial production order to the optimal task receiver by the task provider through the cloud platform;
the disk-giving and showing module is used for giving disk-giving and showing to the task proposer through the cloud platform, namely showing the task acceptors who prefer winning bid;
and the contracting module is used for the task proposer to contract with the winning task carrier through the cloud platform.
The beneficial effects of the invention are as follows:
according to the cross-unit cooperation matching method based on the cloud platform, the trade markets of various capacities and products are mainly created, the core functions mainly comprise demand publishing, capacity optimization, sample trial production competition, trade achievement, online contract signing and the like, and the transformation from closed solidification to competitive configuration of each unit cooperation mode can be realized.
Drawings
FIG. 1 is a capability publishing flow chart.
FIG. 2 is a flow chart of a public disc inquiry and publication service.
Fig. 3 is a comprehensive flow chart of a quotation scheme.
FIG. 4 is a flow chart of placing a trial order.
Fig. 5 is a schematic flow chart of a service of the credit card.
Fig. 6 is a contract signing flow chart.
Detailed Description
The present invention will be further described with reference to the following specific examples and drawings in order to make the above objects, features and advantages of the present invention more comprehensible.
The invention mainly aims to create an enterprise/group-wide manufacturing capability trading market, takes scientific research production management mode change as support, takes on-line information release and information butt joint as a way, and improves the sharing and competitive configuration capability of the enterprise/group company manufacturing capability. The method specifically comprises the following steps:
providing two service modes of public inquiry (inquiry search response) and directional inquiry (inquiry quotation), carrying the basic functions of public release of demands, capability optimization, sample trial production competition, trade achievement, online contract signing and the like;
supporting online transactions of manufacturing capacities such as machine adding and electric installation, and supporting bottleneck information of capability conditions, capability utilization conditions (benefit improvement conditions) and capability of perspective whole enterprises/groups; the goals of resource sharing, supply and demand capacity matching and overall benefit improvement in the cloud are achieved.
1. Capability publishing
The purpose of capability release is to uniformly classify and manage the capability of the enterprise that is specialised or operated for a long time, so that when the demand party has the requirement of the field, the system can intelligently push the appropriate information of the receiver enterprise for the demand party enterprise. The capability issuing flow is shown in fig. 1, and comprises the following steps:
(1) Selecting capability classifications, loading capability description templates: the task acceptors, such as business director at the individual legal unit planning department in a certain group, register the capability information. First, the capability classification is selected, and the system automatically loads the corresponding description template.
(2) Filling/modifying capability information; the business director fills in/modifies the capability information according to the template.
(3) Verification capability information: business leadership audit capability information.
(4) Publishing capability information: the platform issues capability information that passes the audit.
"capability classification" is the discussion and creation of capability classifications based on industry or group requirements and is imported into the system.
The capability description template is used for discussing and preparing the capability description content according to the requirements of industry or groups, preparing the capability description content into a uniform template and writing the capability description template into a system by system maintenance personnel.
The "capability information" refers to information in a capability description template, and includes capability names, keywords, unit names, addresses, year and month of investment, qualification information, capability introduction and the like.
The user can search the related industry field or professional enterprises through the capacity special area, and the system can also recommend the capacity units to the user according to the requirements issued by the units where the user is located.
2. Public inquiry and release
The purpose of this step is to obtain a public, fair bid result for the acquirer and a fair chance of competition for the acquirer. The public inquiry (release) business flow is shown in figure 2, comprising the following steps:
compiling inquiry information: the business director of the independent legal unit scientific research department/planning department/production department in the group sequentially fills in the inquiry basic information and the business basic requirement according to the inquiry information template, wherein the basic information comprises information such as inquiry task name, keywords, unit name, unit address, contacts, contact mode, quotation expiration date and the like, and the business basic requirement comprises performance, quality, price, progress requirement, uploading drawing or model file and the like. And then submitting the department responsible person to examine and approve.
Checking inquiry information: the business leader of the independent legal units in the group examines the submitted inquiry information content, submits the inquiry information content to a platform for release if agreeing, and returns the salesmen for modification if disagreeing.
Modifying inquiry information: when the inquiry content is unqualified, the service director in the independent legal unit scientific research department/planning department/production department in the group refuses the inquiry information release request, and the service director modifies the inquiry information and submits the inquiry information to the department responsible person for examination after the modification is finished.
Publishing inquiry information: and after the query content is qualified, the platform automatically issues the query information.
3. Quotation scheme integration
The purpose of this step is to make a preference for the quotation scheme issued by the task recipient. The comprehensive flow of the quotation scheme is shown in fig. 3, and comprises the following steps:
pushing quotation scheme combination screening results: the platform screens quotation schemes proposed by the task acceptors according to the optimization model and pushes screening results to the task acceptors; the system carries out optimization recommendation according to a quotation scheme issued by the receiver and capability information filled by the receiver in the capability special area;
selecting a task carrier: the business director (task proposer) of the independent legal unit scientific research department/planning department/production department in the group screens the result according to the quotation scheme provided by the platform, and preferably selects the task carrier;
auditing preferred results: the business leader of the independent legal units in the group performs auditing on the preferred task acceptors, if the result is shown, the business leader returns to the business director to perform the preferred again, and the preferred result is submitted to the business leader auditing again after the preferred completion;
the selected task carrier is disclosed: the platform is used for displaying the task acceptors passing the auditing;
comprehensive scheme/offer content: the business director of the independent legal unit scientific research department/planning department/production department in the group synthesizes the scheme/quotation provided by the selected suppliers to form a scheme/quotation comprehensive opinion; submitting a business leader for examination;
checking the comprehensive result: and the business leader of the independent legal units in the group performs examination on the proposal/quotation comprehensive opinion, sends the proposal/quotation comprehensive opinion to the relevant task acceptors to optimize the quotation proposal, returns to the business director to perform modification if the proposal/quotation comprehensive opinion does not pass, and submits examination after the modification is completed.
4. Flow for placing trial-production order
The purpose of placing the trial-production order is to place the trial-production order when the quality of the product made by the receiver needs to be confirmed, and the receiver is selected to conduct sample trial production, so that the capacity of the receiver is better determined. The sample trial-production receivers selected here may be one or a plurality of. The process of placing the trial production order is shown in fig. 4, and comprises the following steps:
pushing quotation scheme combination screening results: the platform screens the quotation schemes according to the optimal model and pushes screening results to the task proposer;
selecting a task carrier: the business director (task proposer) of the independent legal unit scientific research department/planning department/production department in the group selects the preferred task acceptors according to the scheme/quotation screening result provided by the platform;
auditing preferred results: the business leader of the independent legal units in the group performs auditing on the preferred task acceptors, if the result is shown, the business leader returns to the business director to perform the preferred again, and the preferred result is submitted to the business leader auditing again after the preferred completion;
the selected task carrier is disclosed: the platform is used for displaying the task acceptors passing the auditing;
compiling a trial order: task trial orders are made by business director of independent legal units in the group.
Submitting a business leader for examination;
auditing the trial production order: and the business leader of the independent legal unit scientific research department/planning department/production department in the group examines the trial production order, and if the business leader passes the trial production order, the business leader returns to the business director for modification, and the examination is submitted after the modification is completed.
And (5) placing a trial production order: after the trial orders pass, the orders are issued to the task acceptors.
5. Teaching disc
The purpose of the credit card is to inform all receiving units that the preferred supplier has determined that the other suppliers can withdraw from the competition. The offer plate is one of the links of the comprehensive flow of the quotation scheme.
The service flow of the disc teaching public service is shown in fig. 5, and comprises the following steps:
pushing a combined screening result: the platform prefers a group of screening results from the quotations of the task acceptors according to the preference model and pushes the screening results to the task proposer.
Selecting a task carrier: and the business director of the independent legal unit scientific research department/planning department/production department in the group selects a preferred task receiver from the screening results and submits the preferred results to the department leader for auditing.
Auditing preferred results: and auditing the preferred results of the task acceptors by service leaders of independent legal units in the group, namely scientific research departments/planning departments/production departments, and refusing the service director to modify if the preferred results pass the auditing and are shown on the platform.
The selected task carrier is disclosed: the platform will preferably show the winning task recipient.
6. Contract making
The contract signing (information) flow is shown in fig. 6, and includes the following steps:
uploading contract files and scanning pieces: and scanning and uploading the contract sample by a business director at an independent legal unit planning place in the group.
Registering contract information: the business director at the independent legal person unit planning place in the group inputs information such as contract price/quality/progress/product performance and the like in a platform and submits department leading auditing.
Examination of contract information: business leaders at the independent legal units planning places in the group review the contract content, and the process is finished if the contract content passes; if not, the business director rejects the content, and submits the content to the examination after revising the legal content.
Contract is signed: after the contract content is determined without errors, the two responsible persons sign the contract.
By the method, online transaction of manufacturing capacities such as machine processing, electric installation and the like can be supported, the capacity condition and the capacity utilization condition (benefit improvement condition) of a certain enterprise/group are supported, and the goals of resource sharing, supply and demand capacity matching and overall benefit improvement in the cloud are realized.
Another embodiment of the present invention provides a cross-unit collaboration support system based on a cloud platform, including:
the capacity release module is used for releasing the capacity of the task receiver in the cloud platform;
the public inquiry and release module is used for a task provider to release inquiry information in the cloud platform;
the quotation scheme comprehensive module is used for recommending according to the quotation scheme and the capability information issued by the task carrier in the cloud platform, and the task provider prefers the quotation scheme issued by the task carrier;
the trial production order placing module is used for placing a trial production order to the optimal task receiver by the task provider through the cloud platform;
the disk-giving and showing module is used for giving disk-giving and showing to the task proposer through the cloud platform, namely showing the task acceptors who prefer winning bid;
and the contracting module is used for the task proposer to contract with the winning task carrier through the cloud platform.
The above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and those skilled in the art may modify or substitute the technical solution of the present invention without departing from the spirit and scope of the present invention, and the protection scope of the present invention shall be defined by the claims.
Claims (7)
1. The cross-unit cooperation matching method based on the cloud platform is characterized by comprising the following steps of:
1) The method comprises the steps that the capability of a task receiver is published in a cloud platform;
2) The task proposer issues inquiry information in the cloud platform;
3) The cloud platform recommends according to the quotation scheme and the capability information issued by the task adapting party, and the task proposing party prefers the quotation scheme issued by the task adapting party;
4) The task proposer places trial production orders to the optimized task acceptors through the cloud platform;
5) The task proposer carries out disc-teaching indication through the cloud platform, namely the task acceptors in the optimal winning bid are indicated;
6) The task proposer signs a contract with a winning task receiver through the cloud platform;
wherein step 2) comprises:
(1) Compiling inquiry information: the task proposer fills in the inquiry basic information and the business basic requirements according to the inquiry information template, and then submits the department responsible person to examine and approve;
(2) Checking inquiry information: the task proposer examines the submitted content of the inquiry information, submits the submitted content to the cloud platform for release if agreeing, and returns the salesman for modification if disagreeing;
(3) Modifying inquiry information: when the inquiry content is unqualified, refusing the inquiry information release request, modifying the inquiry information, and checking again after the modification is finished;
(4) Publishing inquiry information: after the query content is qualified, the cloud platform automatically issues query information;
wherein, step 3) includes:
(1) The cloud platform screens quotation schemes proposed by the task acceptors according to the optimization model and pushes screening results to the task acceptors; the system carries out optimization recommendation according to a quotation scheme issued by the receiver and capability information filled by the receiver in the capability special area;
(2) The task proposer selects a result according to a quotation scheme provided by the cloud platform, and the task acceptors are optimized;
(3) The task proposer carries out auditing on the preferred task receiver, if the result is passed, the result is disclosed, if the result is not passed, the preferred result is returned to be subjected to the optimization again, and after the optimization is finished, the preferred result is audited again;
(4) The cloud platform carries out public showing on the task acceptors passing the examination;
(5) The business director of the task proposer comprehensively selects the scheme/quotation provided by the task acceptors to form scheme/quotation comprehensive opinion, and submits the business leader to examination;
(6) The business leader of the task proposer examines the proposal/quotation comprehensive opinion, sends the proposal to the relevant task acceptors to optimize the quotation proposal, returns to the business director to modify if the proposal does not pass, and submits the examination after the modification is finished;
wherein step 4) comprises:
(1) The cloud platform screens the quotation schemes according to the optimal model and pushes screening results to the task proposer;
(2) The task proposer prefers a task receiver according to a scheme/quotation screening result provided by the cloud platform;
(3) The business leader of the task proposer carries out auditing on the preferred task receiver, if the result is disclosed, the business leader returns to the business director to carry out preference again if the result is not disclosed, and the preferred result is submitted to the business leader auditing again after the preference is completed;
(4) The cloud platform carries out public showing on the task acceptors passing the examination;
(5) The task proposer compiles a task trial order, submits a business leader for examination;
(6) The business leader of the task proposer checks the trial production order, if the business leader passes the trial production order, the business leader returns to the business director to modify, and the business leader submits the check after the modification is finished;
(7) After the trial orders pass, the orders are issued to the task acceptors.
2. The method according to claim 1, wherein step 1) comprises:
(1) Selecting capability classification and loading a capability description template;
(2) Filling/modifying capability information according to the capability description template;
(3) Verification capability information;
(4) And issuing the capability information passing the audit in the cloud platform.
3. The method according to claim 1 or 2, characterized in that: the capability information issued in the cloud platform forms a capability special area, a user searches the related industry field or professional enterprises through the capability special area, and the cloud platform recommends the capability units of the user according to the requirement issued by the unit where the user is located.
4. The method of claim 1, wherein said query base information comprises query task names, keywords, unit names, unit addresses, contacts, contact addresses, and quotation expiration dates; the business basic requirements comprise performance, quality, price and progress requirements, and uploading drawing or model files.
5. The method of claim 1, wherein step 5) comprises:
(1) The cloud platform optimizes a group of screening results from quotations of the task acceptors according to the optimizing model and pushes the screening results to the task proposer;
(2) The task provider business director selects a task adapting party from the screening results and submits the selection results to the department leader for auditing;
(3) The task provider service leader examines the preferred results of the task receiver, if the examination is passed, the preferred results are shown on the platform, and if the examination is not passed, the service director is refused to modify the preferred results;
(4) The cloud platform will preferably show the winning task carrier.
6. The method according to claim 1, wherein step 6) comprises:
(1) The task proposer business director scans and uploads the contract sample to the cloud platform;
(2) The task proposer business director inputs the contract information in the platform and submits department leadership examination;
(3) The task proposer business leader examines the contract content, and the process is ended if the contract content passes; if not, the business director rejects the content, and submits the content to examination after revising the legal content;
(4) After the contract content is determined without errors, the two responsible persons sign the contract.
7. A cloud platform-based cross-unit collaboration companion system employing the method of any one of claims 1-6, comprising:
the capacity release module is used for releasing the capacity of the task receiver in the cloud platform;
the public inquiry and release module is used for a task provider to release inquiry information in the cloud platform;
the quotation scheme comprehensive module is used for recommending according to the quotation scheme and the capability information issued by the task carrier in the cloud platform, and the task provider prefers the quotation scheme issued by the task carrier;
the trial production order placing module is used for placing a trial production order to the optimal task receiver by the task provider through the cloud platform;
the disk-giving and showing module is used for giving disk-giving and showing to the task proposer through the cloud platform, namely showing the task acceptors who prefer winning bid;
and the contracting module is used for the task proposer to contract with the winning task carrier through the cloud platform.
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| CN113592290B (en) * | 2021-07-28 | 2024-05-17 | 卡奥斯工业智能研究院(青岛)有限公司 | Industry chain collaborative solution recommendation method, device, equipment and storage medium |
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