CN112801293B - Method for extracting function points from targets and scenes of demand text - Google Patents
Method for extracting function points from targets and scenes of demand text Download PDFInfo
- Publication number
- CN112801293B CN112801293B CN202110149103.4A CN202110149103A CN112801293B CN 112801293 B CN112801293 B CN 112801293B CN 202110149103 A CN202110149103 A CN 202110149103A CN 112801293 B CN112801293 B CN 112801293B
- Authority
- CN
- China
- Prior art keywords
- management
- scene
- activity
- scenes
- mes system
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 45
- 230000000694 effects Effects 0.000 claims abstract description 70
- 238000004519 manufacturing process Methods 0.000 claims abstract description 47
- 230000008569 process Effects 0.000 claims abstract description 18
- 230000008093 supporting effect Effects 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 70
- 230000006870 function Effects 0.000 claims description 24
- 238000012423 maintenance Methods 0.000 claims description 19
- 239000000047 product Substances 0.000 claims description 17
- 238000007689 inspection Methods 0.000 claims description 13
- 239000002994 raw material Substances 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 230000008520 organization Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000004458 analytical method Methods 0.000 claims description 3
- 239000007795 chemical reaction product Substances 0.000 claims description 3
- 239000003795 chemical substances by application Substances 0.000 claims description 3
- 238000013461 design Methods 0.000 claims description 3
- 238000011214 deviation management Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 230000003319 supportive effect Effects 0.000 claims description 3
- 238000012360 testing method Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 238000010561 standard procedure Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000001175 cerebrospinal fluid Anatomy 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method for extracting function points from targets and scenes of a demand text. In the invention, a requirement acquisition method based on targets and scenes is applied to a URS definition process; the method firstly establishes a problem domain framework of an MES system from three dimensions of a Manufacturing Operation Management (MOM) universal activity model, a manufacturing operation management category and a supporting activity, and on the basis, proposes a series of standard application, scene writing and requirement arrangement application guidelines to guide a user to gradually find requirements from the problem domain of the MES system, and writes the requirements in a standard statement format.
Description
Technical Field
The invention belongs to the technical field of application guidelines, and particularly relates to a method for extracting functional points from targets and scenes of a demand text.
Background
Currently, in many MES system implementation projects, in two stages of a "stakeholder desire and demand definition process" and a "system demand definition process", a system integrator or a software provider cannot well understand the demands set by a user after obtaining the URS, and thus the MES system implementation project is often put aside or even fails because the user cannot accurately express own demands and output clear URS. Studies of the Standard Group show that there is either a lot of software and IT project cancellation, or that insufficient demand engineering is one of the main reasons for this outcome, as most of the cancelled projects are not clear enough for demand and do not have very good control changes. In a manufacturing enterprise, plant-level activities have many administrative functions, performing and controlling different kinds of manufacturing operations, such as transportation of received finished products from raw materials, maintenance from production itself to equipment, and movement from inventory and logistics to quality inspection, which, while assuming different responsibilities, must cooperate under the direction of a business management regime. Thus, defining its URS can be a difficult and arduous task for manufacturing enterprise users when implementing an item with respect to such a globally controlled MES system. MES systems implement features of two aspects that, if not emphasized and carefully treated, pose a risk of causing the item to be shelved or cancelled.
First, potential system users in the manufacturing enterprise have different insights into the MES system, and it is difficult to get a consistent insight. Some users focus on the enforcement of standard job programs (Standard Operation Procedure, SOP) and the collection of data from a manufacturing standpoint and consider this part of the functionality to be an obligation of the MES system to be implemented; while other users are more concerned about the management and execution of shop inventory from a business perspective. This divergence in opinion is mainly due to the following two aspects: (1) the manufacturing process involves both the utilization of resources, the execution of processes and the diversion of products, and the management and execution of services, which are actually two-sided; (2) the user group formed by taking IT and business management as representatives is difficult to understand the actual production control constraint, so that the requirements of the user group represented by the execution of the operation cannot be understood; and job execution user groups are also difficult to stand in the angle of IT and business management user groups to understand their ideas and landscape.
Disclosure of Invention
The invention aims at: in order to solve the above-mentioned problems, a method for extracting function points from objects and scenes of a demand text is provided.
The technical scheme adopted by the invention is as follows: a method for extracting functional points from objects and scenes of a demand text, characterized by: the method for extracting the function points from the targets and the scenes of the required text comprises the following steps:
s1: firstly, building a MOM universal activity model, and based on the MOM universal activity model, the ISA-95 standard further classifies the 'operation' into five different categories according to the difference of the 'operation' value added effects on products and services: production, maintenance, quality inspection, warehouse logistics and other supportive activities, four specific operational management categories are derived on the MOM universal activity model: production operation management, maintenance operation management, quality detection operation management and warehouse logistics operation management;
s2: the method comprises the steps of establishing a problem domain framework of an MES, and carrying out supporting management activities, namely information management, security management, document management, configuration management, compliance management and abnormal deviation management, besides four main operation management categories of production, maintenance, quality detection and warehouse logistics;
s3: modeling a target by adopting a structured scene, and expressing a use case in the scene by using a patterned statement, wherein a requirement block is uniquely defined by a target and a binary group of the scene; the adoption of the modeling statement to write the scene has the advantages that the ambiguity and the ambiguity of the natural language can be eliminated to a certain extent, and the characteristics of easy understanding and use of the natural language are maintained;
s4: starting from the current situation of business management and job execution, analyzing how business management and job execution will be performed in the future under the support of the MES system;
s5: the operations are divided into: production, maintenance, quality inspection, and inventory logistics;
s6: on the basis of job classification, organizing reference data of a factory by taking a resource object model and an operation definition object model defined by ISA-95 as frames;
s7: on the basis of job classification, dividing service plates according to an activity model of a class to which the job belongs, and describing service activities occurring in each service plate and information flows between the service activities in detail;
s8: starting from the current situation of management flow and operation execution, applying key success factors to conduct business-driven analysis to obtain an optimized flow; in the optimized flow, judging whether each activity needs the support of the MES system, if so, defining a functional requirement for the activity;
s9: aiming at the function requirement defined previously, acquiring the target, executor, triggering condition, operation step and other elements of the business activity, and describing a text scene according to a scene writing guide;
s10, writing all the text scenes according to the following statement formats: subject: agent+Verb+target: subject+direction (Source, destination) +way:;
s11, if the parameter part of the scene has multiple options and multiple options branches are independent and exclusive, describing the established condition of each option branch, and introducing a sub-object and scene description for each branch according to the object and scene introduction guide, wherein the sub-objects form an OR relationship;
s12, if the parameter part of the scene has multiple selection possibilities and the multiple selection branches are mutually complemented, introducing a sub-object and scene description according to the object and scene introduction guidance for each selection branch, wherein the sub-objects form an AND relationship;
s13, through combining and applying the ISA-95 application guide rules, the scene writing rules and the requirement arrangement guide rules, each acquired target and scene description about the requirement is in the context of a certain activity in a certain operation management category, so that the operation management category and the MOM universal activity model naturally provide an organization framework for the documented URS.
In a preferred embodiment, in step S1, the MES system of a general manufacturing enterprise is involved in all of these four categories of operation management activities, but the coverage ranges are not identical.
In a preferred embodiment, in the step S2, the MOM generic activity model, the four types of core execution management activities and the support management activities form three dimensions of the MES system to solve the problem, that is, they represent different aspects of the problem domain, and each functional requirement proposed by the MES system can be expressed from the three dimensions, so that a problem domain framework of the MES is obtained.
In a preferred embodiment, in said step S4, the added value of the production operation is to directly bring about a series of physical or chemical changes of the raw material and to convert it towards the desired end product; the increment function of the maintenance operation is to keep the equipment or physical asset in a normal working state all the time or restore the equipment or physical asset to the normal working state when the equipment or physical asset fails; the value-added function of the quality detection operation is to observe, measure and test a plurality of quality characteristics of raw materials, products and products, and compare the result with the specified quality requirement to judge whether the quality characteristics are qualified or not; the value-added function of stock logistics operation is to load, unload, transport, store and keep raw materials, products and products.
In a preferred embodiment, in the step S5, "resource" refers to personnel, materials, equipment, physical assets and process segments, and the resource has a corresponding type because of the different job types; the operation definition is the sum of production operation rule definition, maintenance operation rule definition, quality inspection operation rule definition and warehouse logistics operation rule definition, and in general enterprises and factories, the operation definition information exists in various technical data and guide files, such as technical regulations, inspection regulations and the like.
In a preferred embodiment, in the step S6, the current situation of the management flow and the job execution is consolidated based on the existing paper document and record, and the description may be illustrated in a form of a combination of a flowchart and a text description.
In a preferred embodiment, in the step S7, the decision of the association of a business activity with the MES system can be performed by answering the following questions: 1. whether the execution of the activity requires support by the MES system; 2. during the execution of the activity, whether the MES system is required to provide data processing or not; 3. whether the execution of the activity involves a data flow with an external system; business driving can be performed according to the types of manufacturing enterprises, such as single design, single production, stock production and the like, and by combining ideas of lean manufacturing, agile manufacturing and the like.
In a preferred embodiment, in the step S11, the "target and scene introduction rule" and the "selection structure refinement rule" together constitute an iterative reasoning process.
In a preferred embodiment, in step S12, the objective and scene introduction rule "and the" parallel structure refinement rule "together form an iterative reasoning process.
In a preferred embodiment, in step S13, the recommended URS document list is set up based on the maximum project scope, and after MES system boundaries are determined, requirements that are not within the project scope need to be removed from the actual URS.
In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:
1. in the invention, the purpose of the method is to provide a relatively complete demand acquisition process, help system users to conduct iterative Reasoning (reflection) by using targets and scenes, and induce the demand of the MES system; the application guide can provide help for users to find targets, describe scenes and refine targets; finally, the written scenes are arranged and organized according to a certain document structure, so that a documented URS is formed, and the result is an output result of the method system.
2. In the invention, the ISA-95 standard reconciles the divergence between service management and operation execution and brings a common prospect for the business management and the operation execution, and from the aspect of wider knowledge sharing, the whole ISA-95 standard is a course for understanding the functions and information flows of an MES system, in particular part 3, has a very reference value for defining the URS, and plays a key role in improving the integrity and transparency of the URS by combining with a proper requirement acquisition process.
Drawings
FIG. 1 is a diagram of a model of type V validation of GAMP of the present invention;
FIG. 2 is a diagram of a MOM universal activity model in accordance with the present invention;
FIG. 3 is a time view of a MOM generic activity model of the present invention;
FIG. 4 is a diagram of core activity and support activity in a MOM of the present invention;
FIG. 5 is a diagram of the structure of the MES problem domain framework scenario of the present invention;
fig. 6 is a block diagram of a scenario in the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1-6, a method for extracting functional points from objects and scenes of a demand text, characterized by: the method for extracting the function points from the targets and the scenes of the required text comprises the following steps:
s1: firstly, building a MOM universal activity model, and based on the MOM universal activity model, the ISA-95 standard further classifies the 'operation' into five different categories according to the difference of the 'operation' on the value-added effect of the product and the service: production, maintenance, quality inspection, warehouse logistics and other supportive activities, four specific operational management categories are derived on the MOM universal activity model: production operation management, maintenance operation management, quality detection operation management and warehouse logistics operation management; in the step S1, the MES system of the general manufacturing enterprise is involved in the four categories of operation management activities, but the coverage ranges are different; an example of boundaries between an MES system and an ERP system is given in the ISA-95 standard to explain how an activity model is used to determine the functional scope of the MES system, as shown in fig. 5, a thick dotted line indicates a possible service boundary between the MES system and the ERP system, and the lower half of the dotted line is a service scope covered by the MES system; the manufacturing enterprises can define the business boundaries among the systems according to the characteristics of self organization and personnel roles;
s2: the method comprises the steps of establishing a problem domain framework of an MES, and carrying out supporting management activities, namely information management, security management, document management, configuration management, compliance management and abnormal deviation management, besides four main operation management categories of production, maintenance, quality detection and warehouse logistics; in the step S2, the MOM universal activity model, the four types of core operation management activities and the support management activities form three dimensions of the MES system for solving the problem, that is, they represent different aspects of the problem domain, and each functional requirement proposed by the MES system can be expressed from the three dimensions, so that a problem domain framework of the MES is obtained;
s3: modeling a target (gold) by adopting a structured scene (Scenario), and expressing a Use Case (Use Case) in the scene by using a patterned sentence (questions), wherein a requirement block (Requirement Chunk) is uniquely defined by a target and a binary group (tuple) of the scene; the adoption of the modeling statement to write the scene has the advantages that the ambiguity and the ambiguity of the natural language can be eliminated to a certain extent, and the characteristics of easy understanding and use of the natural language are maintained;
s4: starting from the current situation of business management and job execution, analyzing how business management and job execution will be performed in the future under the support of the MES system; in said step S4, the added value of the production operation is to directly bring about a series of physical or chemical changes of the raw material and to convert it towards the desired end product; the increment function of the maintenance operation is to keep the equipment or physical asset in a normal working state all the time or restore the equipment or physical asset to the normal working state when the equipment or physical asset fails; the value-added function of the quality detection operation is to observe, measure and test a plurality of quality characteristics of raw materials, products and products, and compare the result with the specified quality requirement to judge whether the quality characteristics are qualified or not; the value-added function of stock logistics operation is to load, unload, transport, store and keep raw materials, products and products;
s5: the operations are divided into: production, maintenance, quality inspection, and inventory logistics; in the step S5, the "resource" refers to personnel, materials, equipment, physical assets and process sections, and the resource has corresponding types because of different job types; the operation definition is the sum of production operation rule definition, maintenance operation rule definition, quality inspection operation rule definition and warehouse logistics operation rule definition, and in general enterprises and factories, the operation definition information exists in various technical data and guide files, such as technical regulations, inspection regulations and the like;
s6: on the basis of job classification, organizing reference data of a factory by taking a resource object model and an operation definition object model defined by ISA-95 as frames; in the step S6, on the basis of the existing paper bill and record, the current situation of management flow and operation execution is arranged, and the method can be illustrated in a form of combining a flow chart and textual description;
s7: based on the job classification, dividing the service blocks (see figure 3) according to an activity model (see figure 5) of the class to which the job belongs, and describing the service activity occurring in each service block and the information flow between the service activities in detail; in step S7, determining the association of a business activity with the MES system may be performed by answering the following questions:
1. whether the execution of the activity requires support by the MES system; 2. during the execution of the activity, whether the MES system is required to provide data processing or not; 3. whether the execution of the activity involves a data flow with an external system; business driving can be performed according to the type of manufacturing enterprises, such as single design (manager-to-order), single production (make-to-order), inventory production (make-to-stock) and the like, and by combining ideas of lean manufacturing, agile manufacturing and the like;
s8: from the current situation of management flow and job execution, a key success factor (Critical SuccessFactors, CSFs) is applied to perform business-driven analysis to obtain an optimized flow; in the optimized flow, judging whether each activity needs the support of the MES system, if so, defining a functional requirement for the activity;
s9: aiming at the function requirement defined previously, acquiring the target, executor, triggering condition, operation step and other elements of the business activity, and describing a text scene according to a scene writing guide;
s10, writing all the text scenes according to the following statement formats: subject: agent+Verb+target: subject+direction (Source, destination) +way:;
s11, if the parameter part of the scene has multiple options and multiple options branches are independent and exclusive, describing the established condition of each option branch, and introducing a sub-object and scene description for each branch according to the object and scene introduction guide, wherein the sub-objects form an OR relationship; in the step S11, the "target and scene introduction rule" and the "selection structure refinement rule" together constitute an iterative reasoning process.
S12, if the parameter part of the scene has multiple selection possibilities and the multiple selection branches are mutually complemented, introducing a sub-object and scene description according to the object and scene introduction guidance for each selection branch, wherein the sub-objects form an AND relationship; in the step S12, the target and scene introduction rule and the parallel structure refinement rule together form an iterative reasoning process;
s13, by combining and applying ISA-95 application guidelines, scene writing rules and requirement arrangement guidelines, each acquired target and scene description about requirements is in the context of a certain activity in a certain operation management category, so that the operation management category and MOM universal activity model naturally provides an organization framework for the documented URS; in step S13, recommended URS document catalogs are presented based on the maximum project scope, and after MES system boundaries are determined, requirements that are not within the scope of the project to be implemented need to be removed from the actual URS.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (5)
1. A method for extracting functional points from objects and scenes of a demand text, characterized by: the method for extracting the function points from the targets and the scenes of the required text comprises the following steps:
s1: firstly, building a MOM universal activity model, and based on the MOM universal activity model, the ISA-95 standard further classifies the 'operation' into five different categories according to the difference of the 'operation' value added effects on products and services: production, maintenance, quality inspection, warehouse logistics and other supportive activities, four specific operational management categories are derived on the MOM universal activity model: production operation management, maintenance operation management, quality detection operation management and warehouse logistics operation management;
s2: the method comprises the steps of establishing a problem domain framework of an MES, and carrying out supporting management activities, namely information management, security management, document management, configuration management, compliance management and abnormal deviation management, besides four main operation management categories of production, maintenance, quality detection and warehouse logistics;
s3: modeling a target by adopting a structured scene, and expressing a use case in the scene by using a patterned statement, wherein a requirement block is uniquely defined by a target and a binary group of the scene; the advantage of adopting the modeling statement to write the scene is that the ambiguity and the ambiguity of the natural language are eliminated to a certain extent, and the characteristics of easy understanding and use of the natural language are maintained;
s4: starting from the current situation of business management and job execution, analyzing how business management and job execution will be performed in the future under the support of the MES system;
s5: the operations are divided into: production, maintenance, quality inspection, and inventory logistics;
s6: on the basis of job classification, organizing reference data of a factory by taking a resource object model and an operation definition object model defined by ISA-95 as frames;
s7: on the basis of job classification, dividing service plates according to an activity model of a class to which the job belongs, and describing service activities occurring in each service plate and information flows between the service activities in detail;
s8: starting from the current situation of management flow and operation execution, applying key success factors to conduct business-driven analysis to obtain an optimized flow; in the optimized flow, judging whether each activity needs the support of the MES system, if so, defining a functional requirement for the activity;
s9: aiming at the function requirement defined previously, acquiring a target, an executor, a triggering condition and an operation step of the business activity, and describing a text scene according to a scene writing guide rule;
s10: all the textual scenes should be written in the following sentence format: the Subject: agent+verb+target: object+direction: (Source, destination) +way: the method comprises the steps of carrying out a first treatment on the surface of the
S11: if the parameter part of the scene has multiple selection possibilities and multiple selection branches are mutually independent and exclusive, the condition for each selection branch needs to be described, and a sub-object and scene description are introduced for each branch according to the object and scene introduction guideline, and an OR relationship is formed between the sub-objects;
s12: if the parameter part of the scene has multiple selection possibilities and multiple selection branches are mutually complemented, each selection branch needs to be introduced with a sub-object and scene description according to an object and scene introduction guide, and the sub-objects form an AND relationship;
s13: by combining and applying ISA-95 application guidelines, scene writing rules and requirement arrangement guidelines, each acquired target and scene description about the requirement is in the context of a certain activity in a certain operation management category, so that the operation management category and MOM universal activity model naturally provide an organization framework for the documented URS;
in step S7, the association of a business activity with the MES system is determined by answering the following questions: 1. whether the execution of the activity requires support by the MES system; 2. during the execution of the activity, whether the MES system is required to provide data processing or not; 3. whether the execution of the activity involves a data flow with an external system; business driving is carried out according to the type of manufacturing enterprises, including single design, single production and stock production, and the idea of lean manufacturing and agile manufacturing is combined;
in the step S11, the "target and scene introduction rule" and the "selection structure refinement rule" together form an iterative reasoning process;
in the step S12, the "target and scene introduction rule" and the "parallel structure refinement rule" together form an iterative reasoning process;
in the step S13, the recommended URS document directory is proposed based on the maximum project scope, and after the MES system boundary is determined, the requirements that are not within the implementation project scope need to be removed from the actual URS;
in said step S4, the added value of the production operation is to directly bring about a series of physical or chemical changes of the raw material and to convert it towards the desired end product; the increment function of the maintenance operation is to keep the equipment or physical asset in a normal working state all the time or restore the equipment or physical asset to the normal working state when the equipment or physical asset fails; the value-added function of the quality detection operation is to observe, measure and test a plurality of quality characteristics of raw materials, products and products, and compare the result with the specified quality requirement to judge whether the quality characteristics are qualified or not; the value-added function of stock logistics operation is to load, unload, transport, store and keep raw materials, products and products.
2. A method of extracting function points from objects and scenes of a demand text according to claim 1, wherein: in step S1, the MES system of a general manufacturing enterprise is involved in all of these four categories of operation management activities, but the coverage ranges are not the same.
3. A method of extracting function points from objects and scenes of a demand text according to claim 1, wherein: in the step S2, the MOM generic activity model, the four types of core operation management activities and the support management activities form three dimensions of the MES system to solve the problem, that is, they represent different aspects of the problem domain, and each function requirement proposed by the MES system is expressed from the three dimensions, so that a problem domain framework of the MES is obtained.
4. A method of extracting function points from objects and scenes of a demand text according to claim 1, wherein: in the step S5, the "resource" refers to personnel, materials, equipment, physical assets and process sections, and the resource has corresponding types because of different job types; the operation definition is the sum of production operation rule definition, maintenance operation rule definition, quality inspection operation rule definition and warehouse logistics operation rule definition, and in general enterprises and factories, the operation definition information exists in various technical data and guide files, including technical regulations and inspection regulations.
5. A method of extracting function points from objects and scenes of a demand text according to claim 1, wherein: in the step S6, on the basis of the existing paper bill and record, the current situation of the management flow and the operation execution is arranged, and the description is made in a form of combining the flow chart and the text description.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110149103.4A CN112801293B (en) | 2021-02-03 | 2021-02-03 | Method for extracting function points from targets and scenes of demand text |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110149103.4A CN112801293B (en) | 2021-02-03 | 2021-02-03 | Method for extracting function points from targets and scenes of demand text |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112801293A CN112801293A (en) | 2021-05-14 |
| CN112801293B true CN112801293B (en) | 2024-02-20 |
Family
ID=75813879
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110149103.4A Active CN112801293B (en) | 2021-02-03 | 2021-02-03 | Method for extracting function points from targets and scenes of demand text |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112801293B (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7236844B1 (en) * | 2006-02-27 | 2007-06-26 | Simple Technology, Inc | Web accessible real time system and software for agile and lean manufacturing |
| KR20090123050A (en) * | 2008-05-27 | 2009-12-02 | 재단법인서울대학교산학협력재단 | Method for consulting of manufacturing execution system based simulation and apparatus thereof |
| CN101777169A (en) * | 2009-01-08 | 2010-07-14 | 凌琳 | Technological analysis-based ERP production planning management software |
| CN103246926A (en) * | 2013-05-23 | 2013-08-14 | 西安电子科技大学 | Goal and scene-based use case-driven requirement elicitation method |
| CN103679329A (en) * | 2012-09-06 | 2014-03-26 | 西门子公司 | Method and system for handling batch production within ANSI/ISA/95 production scheduling extended with batch production parameter historian |
| CN104700214A (en) * | 2015-03-12 | 2015-06-10 | 国家电网公司 | Method of managing intelligent distribution and utilization case |
| US9244976B1 (en) * | 2010-12-16 | 2016-01-26 | The George Washington University and Board of Regents | Just-in-time analytics on large file systems and hidden databases |
| EP3343420A1 (en) * | 2016-12-30 | 2018-07-04 | Wipro Limited | Validating compliance of an information technology asset of an organization to a regulatory guideline |
| CN109144007A (en) * | 2018-09-12 | 2019-01-04 | 机械工业仪器仪表综合技术经济研究所 | A kind of automatic construction system for integrating and interconnecting towards digitlization workshop manufacturing equipment |
| CN110264115A (en) * | 2019-07-30 | 2019-09-20 | 武汉湖江科技有限公司 | A kind of intelligence manufacture MES platform |
| CN112038005A (en) * | 2019-09-24 | 2020-12-04 | 上海李尔实业交通汽车部件有限公司 | Production system and method for wiring harness workshop |
-
2021
- 2021-02-03 CN CN202110149103.4A patent/CN112801293B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7236844B1 (en) * | 2006-02-27 | 2007-06-26 | Simple Technology, Inc | Web accessible real time system and software for agile and lean manufacturing |
| KR20090123050A (en) * | 2008-05-27 | 2009-12-02 | 재단법인서울대학교산학협력재단 | Method for consulting of manufacturing execution system based simulation and apparatus thereof |
| CN101777169A (en) * | 2009-01-08 | 2010-07-14 | 凌琳 | Technological analysis-based ERP production planning management software |
| US9244976B1 (en) * | 2010-12-16 | 2016-01-26 | The George Washington University and Board of Regents | Just-in-time analytics on large file systems and hidden databases |
| CN103679329A (en) * | 2012-09-06 | 2014-03-26 | 西门子公司 | Method and system for handling batch production within ANSI/ISA/95 production scheduling extended with batch production parameter historian |
| CN103246926A (en) * | 2013-05-23 | 2013-08-14 | 西安电子科技大学 | Goal and scene-based use case-driven requirement elicitation method |
| CN104700214A (en) * | 2015-03-12 | 2015-06-10 | 国家电网公司 | Method of managing intelligent distribution and utilization case |
| EP3343420A1 (en) * | 2016-12-30 | 2018-07-04 | Wipro Limited | Validating compliance of an information technology asset of an organization to a regulatory guideline |
| CN109144007A (en) * | 2018-09-12 | 2019-01-04 | 机械工业仪器仪表综合技术经济研究所 | A kind of automatic construction system for integrating and interconnecting towards digitlization workshop manufacturing equipment |
| CN110264115A (en) * | 2019-07-30 | 2019-09-20 | 武汉湖江科技有限公司 | A kind of intelligence manufacture MES platform |
| CN112038005A (en) * | 2019-09-24 | 2020-12-04 | 上海李尔实业交通汽车部件有限公司 | Production system and method for wiring harness workshop |
Non-Patent Citations (3)
| Title |
|---|
| 基于ISA-95标准的MES系统问题域构建方法;牛鹏飞等;标准科学(第6期);53-56+85 * |
| 基于目标和场景的MES用户需求规格定义方法;牛鹏飞等;中国仪器仪表(第8期);29-34 * |
| 智能搜索技术发展态势分析;王冲;;现代电信科技(第03期);75-78 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112801293A (en) | 2021-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Agrawal et al. | Analysis of enablers for the digitalization of supply chain using an interpretive structural modelling approach | |
| Raval et al. | Study on Lean Six Sigma frameworks: a critical literature review | |
| Jenab et al. | Company performance improvement by quality based intelligent-ERP | |
| Ali et al. | Industry 4.0 technologies and sustainable warehousing: A systematic literature review and future research agenda | |
| Jain et al. | Using data mining synergies for evaluating criteria at pre-qualification stage of supplier selection | |
| Al-Sabri et al. | A comparative study and evaluation of ERP reference models in the context of ERP IT-driven implementation: SAP ERP as a case study | |
| Li et al. | Barriers of embedding big data solutions in smart factories: insights from SAP consultants | |
| Pham et al. | Supply chain risk management research in construction: a systematic review | |
| Darma et al. | Data Warehouse Analysis to Support UMKM Decisions using the Nine-step Kimball Method | |
| Barrenechea et al. | Data Governance Reference Model to streamline the supply chain process in SMEs | |
| Elhajjar et al. | Automation in business research: systematic literature review | |
| Ohlson et al. | Identification of tasks to be supported by machine learning to reduce sales & operations planning challenges in an engineer-to-order context | |
| Bajec et al. | Identification of environmental criteria for selecting a logistics service provider: a step forward towards green supply chain management | |
| CN112801293B (en) | Method for extracting function points from targets and scenes of demand text | |
| Martijn et al. | Determining the effects of data governance on the performance and compliance of enterprises in the logistics and retail sector | |
| Förster et al. | Cross-industry methods for strategic planning of the digital transformation of small and medium sized enterprises | |
| Rakyta et al. | Advanced Logistics Strategy of a Company to Create Sustainable Development in the Industrial Area | |
| Hankin et al. | An ISM analysis of the critical success factors in ERP implementation | |
| Spanaki et al. | Digital architectures: frameworks for supply chain data and information governance | |
| Janzen et al. | Smart Resilience Services for Industrial Production | |
| Antonazzo et al. | Smart manufacturing and tasks automation in the steel industry: Reflecting on routine work and skills in Industry 4.0 | |
| Emmerich | The System Innovation Scout and the Supplier Onboarding Manager: implementing digital systems in purchasing | |
| Onyshchenko et al. | Industry 4.0 and Accounting: a theoretical approach | |
| Haan | The integration of Big Data in purchasing, as designed in a new Big Data Purchasing Maturity model | |
| Boström et al. | Effectivization of white-collarwork through AI applications: A roadmap for future development in production |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |