CN116882852A - Enterprise flow transformation method and system - Google Patents

Enterprise flow transformation method and system Download PDF

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CN116882852A
CN116882852A CN202310888539.4A CN202310888539A CN116882852A CN 116882852 A CN116882852 A CN 116882852A CN 202310888539 A CN202310888539 A CN 202310888539A CN 116882852 A CN116882852 A CN 116882852A
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enterprise
transformation
best practice
change
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陈涛
董李
薛笃
程慧卿
孙一鸣
杨勃
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Shanghai Entropy Evaluation Technology Co ltd
Zhaoqing Leoch Battery Technology Co Ltd
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Zhaoqing Leoch Battery Technology Co Ltd
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    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0633Workflow analysis

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Abstract

The invention provides a method and a system for enterprise process transformation, wherein the method comprises the following steps: s1, importing an L5-level flow best practice through a flow modeling digital format tool; s2, giving tools to import own original processes by self process management personnel of the enterprise; s3, comparing, analyzing and diagnosing the best practice and the original flow through a tool; s4, judging the advantages and disadvantages of the specific steps of the best practice and the steps of the original flow according to the diagnosis result, and defining a flow transformation target base line; s5, in the changing process, the flow Cheng Guanjian KPI is digitally monitored, and the flow changing effect and the like are rapidly identified. The invention also provides an enterprise process transformation system which comprises a process best practice knowledge base, a process design module, an automatic comparison module, an intelligent scheme generation module and a process mining analysis module. The invention can ensure the whole direction and landing effect of the process variation, increase the flexibility and success rate of the process variation and improve the efficiency of the process variation.

Description

Enterprise flow transformation method and system
Technical Field
The invention relates to the technical field of enterprise consultation, in particular to a method and a system for enterprise flow transformation.
Background
Enterprise flow management techniques have evolved from early workflow management, EAI, flow automation, flow integration, flow modeling, flow optimization, and other techniques. From the management theory and strategic level, the method is simple and convenient. Business process management) is based on a set of interdependent business processes in an environment where internal and external events exist. From the aspect of implementation, business process management can be divided into process analysis, process definition and redefinition, resource management, scheduling management, audit management, performance evaluation, process optimization, security management, and the like.
The conventional process change adopts a consultation mode, and generally comprises the following steps: (1) Consultants know the business processes of the original enterprises through manual investigation and interviews; (2) Performing L3-level flow modeling by using a flow design method based on the current business situation of the enterprise; (3) The enterprise flow is changed step by means of artificial interview study design according to the flow model created in the second step. However, the conventional method has the disadvantages of completely relying on manpower, long period and high cost. In the process of process transformation and landing, the transformation effect is completely related to the self landing capability of consultants, and the success rate is difficult to ensure due to lack of process monitoring and effect analysis.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method and a system for changing the flow of an enterprise, which adopt digital, informationized and intelligent means, can ensure the whole direction and landing effect of the flow change, increase the flexibility and success rate of the flow change and improve the efficiency of the flow change.
In order to achieve the technical scheme, the invention provides a method for changing the enterprise flow, which comprises the following steps:
s1, importing an L5-level flow best practice through a flow modeling digital format tool;
s2, giving tools to import own original processes by self process management personnel of the enterprise;
s3, comparing, analyzing and diagnosing the best practice and the original flow through a tool;
s4, judging the advantages and disadvantages of the specific steps of the best practice and the steps of the original flow according to the diagnosis result, and defining a flow transformation target base line;
s5, in the changing process, the flow Cheng Guanjian KPI is digitally monitored, and the flow changing effect is rapidly identified.
Preferably, the best practice importing in step S1 refers to importing the best practice of the L5 level of a certain process in the industry into the process management platform through BPMN, EVC, EPC or Flowchart format process modeling, where the best practice sources include, but are not limited to, industry association or a best practice library of a third party research institution as a target of process management.
Preferably, in the step S2, the existing process in the enterprise is imported into the process management platform, and is used as the state of the current enterprise process, and compared with the best practice uploaded in the step S1.
Preferably, the original process is obtained by the following steps: and excavating a business flow system of the enterprise by using a flow excavating function of the flow management platform, so as to generate an actual model of the existing business flow of the enterprise.
Preferably, the specific process of the comparative analysis and diagnosis in the step S3 is as follows: comparing best practices of the flow with an actual execution model, finding out difference points by utilizing a consistency check function of a flow management platform, analyzing influence caused by the whole flow of the difference points, helping a user find out points which can be optimized in the current flow through the comparison diagnosis, generating a flow change draft, and simultaneously estimating the whole influence of the flow change on the flow by using a flow simulation function carried in the flow management platform, wherein the flow change draft becomes a formal flow change scheme after a flow responsible person reviews and approves the flow.
Preferably, in step S4, the process responsible person in the enterprise performs corresponding modification of the business process according to the requirements of the reform scheme, and performs corresponding personnel training and system modification on the business process executing personnel and related systems.
Preferably, in the process of the business flow transformation in step S5, all flow execution data are collected by the flow mining function of the flow management platform, the whole flow is monitored and analyzed in real time by using the actual business data, the whole performance of the current flow transformation is evaluated, the flow transformation effect after a period of time is evaluated, the flow monitoring and analysis also generate a model of the current flow and are fed back to the current flow import link, so that an enterprise can continuously see the change condition of the actual flow and the change trend of the difference between the actual flow and the best practice, and the enterprise can finely adjust the whole flow transformation scheme according to the actual condition, thereby ensuring the successful completion of the flow transformation.
The invention also provides an enterprise flow transformation system, which comprises: flow best practice knowledge base: the best practice flow chart of the industry required by user uploading flow change is supported; the flow design module: the creation, modification, storage and version management of a BPMN, EVC, EPC, flowchart format flow chart which is universal in the industry are supported, and a user can design the current flow of an enterprise by using a flow design module or fine-tune the best practice of the flow; and an automatic comparison module: comparing the best practice with the current flow through a flow mining consistency algorithm, helping a user find out difference points in the flow and indicating the influence of the difference points on the current flow; the intelligent scheme generation module: analyzing the difference points in the process by a process simulation means, and generating different process reform schemes according to user-definable configuration, wherein the schemes comprise specific changes in the process, required resource changes and estimated reform effects; the flow mining analysis module: the core KPI of the flow change is analyzed through a preset flow analysis template or a user-defined flow analysis board so as to timely feed back the flow change effect and the flow change trend, and meanwhile, a BPMN flow chart of the current flow can be automatically excavated for comparison analysis with best practice.
Preferably, the process best practices knowledge base supports combinations including, but not limited to, BPMN, EVC, EPC, flowchart format, and unstructured text.
Preferably, the flow design module includes a flow architecture design and a multi-level flow design, including but not limited to supporting L1 to L5 level flows.
The method and the system for enterprise flow transformation provided by the invention have the beneficial effects that:
(1) The enterprise flow transformation method avoids a large number of manual interviews, investigation and customized flow carding and flow modeling, and greatly improves the flow transformation efficiency; meanwhile, the execution of the process variation scheme can be completely monitored and the effect analysis can be timely carried out by a digital means, so that the process variation floor effect is ensured.
(2) The method uses the best practices of L5 level of the flow which are verified in a large quantity in the industry and can fall to the ground, and ensures the whole direction of flow transformation and the falling effect.
(3) The method uses a real-time process mining technology, ensures that enterprises can completely master the current situation of enterprise processes, changes the trend of the whole process, can finely adjust the process according to the effect, and increases the flexibility and success rate of the process change.
(4) The actual flow model 100% of the method starts from objective data, so that the influence of subjective factors of people can be avoided, the practice of flow model backing and modeling can be greatly shortened, and the flow transformation efficiency is improved.
(5) The enterprise process transformation system can realize automatic comparison of process nodes through the automatic comparison module, gives a process comparison result through the intelligent scheme generation module, generates an intelligent transformation scheme, models data of a transformation process through the process mining analysis module, analyzes a core KPI of the transformation process by using a mainstream process mining index analysis algorithm, so as to timely feed back a process transformation effect, and ensures the overall direction and landing effect of process transformation.
Drawings
FIG. 1 is a flow chart of an enterprise flow transformation method according to the present invention.
FIG. 2 is a block diagram of an enterprise flow transformation system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art without making any inventive effort are within the scope of the present invention.
Example 1: a method for changing enterprise flow.
Referring to fig. 1, a method for transforming an enterprise flow includes the following steps:
(1) Best practice introduction: the best practice of the L5 level of a certain process (generally referring to all different business processes in enterprises, such as a direct material purchasing process in a purchasing link or an billing and accounting process in a financial management link) in the industry is imported into a process management platform in a process modeling mode such as BPMN, EVC, EPC or Flowchart to serve as a process management target (a desired state). Sources of such best practices include, but are not limited to, industry associations or third party research institutions' best practices libraries, such as APQC best practices library (APQCBest practice processas frame work) and the like, or industry center consultation company business accumulation, such as ABPR (AccentureBusinessProcessRepository) of Etson philosophy, industrial ryprint of De-service and the like.
(2) Current flow importation: the existing part of the process in the enterprise is imported into the process management platform in the same way, and is used as the state of the current enterprise process to be compared with the best practice uploaded before. The original process is obtained by mining the business process system (such as ERP, SRM, OA) of the enterprise by using the process mining function of the process management platform, so as to generate the actual model of the existing business process of the enterprise (using the same recording mode mentioned before, such as BPMN, EVC, EPC or Flowchart format).
(3) Intelligent contrast diagnosis: the best practice and the actual execution model of the process are compared, the consistency check function of the process management platform is utilized to find out the difference points, the influence of the difference points on the whole process is automatically analyzed, the comparison diagnosis can help a user to find out the points which can be optimized in the current process, a process change draft is generated, and meanwhile, the process simulation function of the process management platform is utilized to estimate out the whole influence of the process change on the process. The process change draft becomes a formal process change scheme after the process person in charge reviews approval.
(4) The transformation scheme is implemented as follows: the process responsible person in the enterprise carries out corresponding business process modification according to the requirements of the innovation scheme, and simultaneously carries out corresponding personnel training and system modification on business process execution personnel and related systems.
(5) Monitoring and analyzing the change result: in the process of the transformation of the business flow, all flow execution data are collected by the flow mining function of the flow management platform, the whole flow is monitored and analyzed in real time by using actual business data, and the whole performance of the current flow transformation and the flow transformation effect after a period of time (for example, two weeks, one month and the like) are evaluated. The process monitoring and analysis also generate a current process model which is fed back to a current process import link, so that enterprises can continuously see the change condition of the actual process and the change trend of the difference between the actual process and the best practice. Enterprises can fine tune the whole flow change scheme according to actual conditions, and successful completion of the flow change is ensured.
The enterprise flow transformation method avoids a large number of manual interviews, investigation and customized flow carding and flow modeling, and greatly improves the flow transformation efficiency; meanwhile, the execution of the process variation scheme can be completely monitored and the effect analysis can be timely carried out by a digital means, so that the process variation floor effect is ensured. The method uses the best practices of L5 level of the flow which are verified in a large quantity in the industry and can fall to the ground, and ensures the whole direction and the falling effect of the flow transformation. In addition, the method uses a real-time process mining technology, so that enterprises can fully master the current situation of the enterprise process, the trend of the whole process change can be ensured, and meanwhile, the process can be finely adjusted according to the effect, so that the flexibility and the success rate of the process change are increased. The actual flow model 100% of the method starts from objective data, so that the influence of subjective factors of people can be avoided, the practice of flow model backing and modeling can be greatly shortened, and the flow transformation efficiency is improved.
Example 2: an enterprise flow transformation system.
Referring to fig. 2, an enterprise flow transformation system includes:
flow best practice knowledge base: industry best practice flow diagrams required to support user upload flow changes, support formats including, but not limited to BPMN, EVC, EPC, flowchart, etc., and combinations of unstructured text.
The flow design module: the system comprises a flow architecture design, a multi-stage flow design, and a system management module, wherein the multi-stage flow design comprises and is not limited to supporting L1-L5 level flows, supporting creation, modification, storage and version management of format flow charts such as BPMN, EVC, EPC, flowchart common to industries, and the like, and a user can use a flow design module to finely adjust the current flow design or the best flow practice of an enterprise so as to ensure that the specific requirements of the enterprise/industry are met.
And an automatic comparison module: comparing the best practice with the current flow through a mainstream flow mining consistency algorithm, automatically helping a user to find out difference points in the flow and indicating the influence of the user on the current flow; the automatic comparison module can realize flow node comparison, flow node sequence comparison, flow node performance comparison, flow rule comparison and the like, and can automatically output comparison conclusion.
The intelligent scheme generation module: the method comprises the steps of automatically analyzing difference points in a process by means of process simulation and the like, and generating different process transformation schemes according to user-definable configuration (such as the number of operators, cost and the like of the process), wherein the schemes comprise specific changes in the process, changes of required resources (such as personnel, systems and the like), predicted transformation effects and the like. The intelligent scheme generation module aims at giving the result of flow comparison, and intelligent innovation scheme generation can be performed by using a rule-based mode or an AIGC mode.
The flow mining analysis module: the core KPI of the reform process can be analyzed through a preset process analysis template or a user-defined process analysis billboard so as to timely feed back the process reform effect and the change trend of the process, and meanwhile, the BPMN flow chart of the current process can be automatically excavated for comparison analysis with best practice.
The flow digging monitoring module: through modeling the data of the process of the transformation, a mainstream process mining consistency analysis algorithm is used for consistency analysis so as to monitor the execution condition of the process transformation in real time or near real time.
The enterprise process transformation system can realize automatic comparison of process nodes through the automatic comparison module, gives a process comparison result through the intelligent scheme generation module, generates an intelligent transformation scheme, models data of a transformation process through the process mining analysis module, analyzes a core KPI of the transformation process by using a mainstream process mining index analysis algorithm, so as to timely feed back a process transformation effect, and ensures the overall direction and landing effect of process transformation.
The foregoing is a preferred embodiment of the present invention, but the present invention should not be limited to the embodiment and the disclosure of the drawings, so that the equivalents and modifications can be made without departing from the spirit of the disclosure.

Claims (10)

1. A method for enterprise process transformation, characterized by comprising the following steps:
s1, importing an L5-level flow best practice through a flow modeling digital format tool;
s2, giving tools to import own original processes by self process management personnel of the enterprise;
s3, comparing, analyzing and diagnosing the best practice and the original flow through a tool;
s4, judging the advantages and disadvantages of the specific steps of the best practice and the steps of the original flow according to the diagnosis result, and defining a flow transformation target base line;
s5, in the changing process, the flow Cheng Guanjian KPI is digitally monitored, and the flow changing effect is rapidly identified.
2. The method for transforming enterprise flow according to claim 1, wherein the best practice importing in step S1 is to import the L5 level best practice of a certain flow in the industry into the flow management platform through BPMN, EVC, EPC or Flowchart format flow modeling, where the best practice sources include, but are not limited to, industry association or third party research institutions' best practice library as a goal of flow management.
3. The method for transforming enterprise flow as claimed in claim 1, wherein in step S2, the existing flow inside the enterprise is imported into the flow management platform as the state of the current enterprise flow, and compared with the best practices uploaded in step S1.
4. The method for transforming an enterprise flow as claimed in claim 3, wherein the original flow is obtained by: and excavating a business flow system of the enterprise by using a flow excavating function of the flow management platform, so as to generate an actual model of the existing business flow of the enterprise.
5. The method for enterprise flow transformation according to claim 1, wherein the specific process of comparative analysis and diagnosis in step S3 is as follows: comparing best practices of the flow with an actual execution model, finding out difference points by utilizing a consistency check function of a flow management platform, analyzing influence caused by the whole flow of the difference points, helping a user find out points which can be optimized in the current flow through the comparison diagnosis, generating a flow change draft, and simultaneously estimating the whole influence of the flow change on the flow by using a flow simulation function carried in the flow management platform, wherein the flow change draft becomes a formal flow change scheme after a flow responsible person reviews and approves the flow.
6. The method for enterprise flow transformation according to claim 5, wherein in step S4, the flow responsible person in the enterprise performs corresponding business process modification according to the requirements of the transformation scheme, and performs corresponding personnel training and system modification on the business process executive personnel and the related system.
7. The method for transforming the enterprise process of claim 1, wherein in the step S5, in the process of transforming the business process, all process execution data are collected by the process mining function of the process management platform, the whole process is monitored and analyzed in real time by using the actual business data, the whole performance of the current process transformation and the process transformation effect after a period of time are evaluated, the process monitoring and analysis also generate a model of the current process, and the model is fed back to the current process import link, so that the enterprise can continuously see the change condition of the actual process and the change trend of the difference between the actual process and the best practice, and the enterprise can finely adjust the whole process transformation scheme according to the actual condition to ensure successful completion of the process transformation.
8. An enterprise process variation system, comprising:
flow best practice knowledge base: the best practice flow chart of the industry required by user uploading flow change is supported;
the flow design module: the creation, modification, storage and version management of a BPMN, EVC, EPC, flowchart format flow chart which is universal in the industry are supported, and a user can design the current flow of an enterprise by using a flow design module or fine-tune the best practice of the flow;
and an automatic comparison module: comparing the best practice with the current flow through a flow mining consistency algorithm, helping a user find out difference points in the flow and indicating the influence of the difference points on the current flow;
the intelligent scheme generation module: analyzing the difference points in the process by a process simulation means, and generating different process reform schemes according to user-definable configuration, wherein the schemes comprise specific changes in the process, required resource changes and estimated reform effects;
the flow mining analysis module: the core KPI of the flow change is analyzed through a preset flow analysis template or a user-defined flow analysis board so as to timely feed back the flow change effect and the flow change trend, and meanwhile, a BPMN flow chart of the current flow can be automatically excavated for comparison analysis with best practice.
9. The enterprise flow transformation system of claim 8, wherein the flow best practices knowledge base supports combinations including, but not limited to, BPMN, EVC, EPC, flowchart format, and unstructured text.
10. The method and system for enterprise flow transformation of claim 8, wherein the flow design module comprises a flow architecture design and a multi-level flow design, including without limitation supporting L1-L5 level flows.
CN202310888539.4A 2023-07-19 2023-07-19 Enterprise flow transformation method and system Pending CN116882852A (en)

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