CN111768099B - Task decomposition method based on model part in scientific research production mode - Google Patents

Task decomposition method based on model part in scientific research production mode Download PDF

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CN111768099B
CN111768099B CN202010602391.XA CN202010602391A CN111768099B CN 111768099 B CN111768099 B CN 111768099B CN 202010602391 A CN202010602391 A CN 202010602391A CN 111768099 B CN111768099 B CN 111768099B
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解其亮
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Abstract

The invention discloses a task decomposition method based on model parts in a scientific research production mode, and relates to the technical field of product production. In the prefabrication stage, aiming at a plurality of products in the same series, when the similarity of the disassembling structures and the process routes of the plurality of products exceeds 90%, model part information, model part types, task types, mapping relations of the model part types and the task types, task decomposition strategies and task period standards of the plurality of products are required to be configured in sequence. In the operation stage, the product to be ground needs to be disassembled based on the configuration information to complete the task decomposition strategy context, then the model part, the model part type and the task type of the structure contained in the product to be ground are determined, and further the task decomposition strategy and the task project standard to be executed are determined by iterating all task types of the product to be ground, so that the problems of missing, heavy and inconsistent tasks of manual decomposition can be avoided, and the efficiency and the automation degree of task decomposition in scientific research production are improved.

Description

Task decomposition method based on model part in scientific research production mode
Technical Field
The invention relates to the technical field of product production, in particular to a task decomposition method based on model parts in a scientific research production mode.
Background
In an enterprise resource planning system, there are multiple production modes, wherein there is a scientific research production mode, and the mode has the characteristics of designing and producing simultaneously, and because of no standardized bill of materials, material quota and process route, the scientific research production task of the product to be researched has to be decomposed in a manual mode; scientific research production generally relates to a plurality of fields and departments such as design, technology, materials, tools and the like, task decomposition is quite complex, workload is large, and problems such as missed decomposition, repeated decomposition, incoordination among tasks and the like are extremely easy to occur.
Disclosure of Invention
The invention provides a task decomposition method based on model parts in a scientific research production mode, aiming at the problems that task decomposition is complex, workload is large, decomposition omission, repeated decomposition, task incompatibility and the like are easy to occur in the existing scientific research production process.
The invention discloses a task decomposition method based on model parts in a scientific research production mode, which solves the technical problems and adopts the following technical scheme:
a task decomposition method based on model parts in scientific research production mode includes a prefabrication stage and an operation stage;
A) In the prefabrication phase, the operations thereof include:
a1 For a plurality of products of the same series, when the degree of similarity of the disassembling structure and the process route of the plurality of products exceeds 90 percent, configuring model part information of the plurality of products,
A2 Defining the model part type according to the structure contained after the product is disassembled,
A3 Defining a task type based on the model part type, the disassembled structure of the plurality of products and the process route,
A4 A mapping relationship of the configuration model part type and the task type,
A5 Based on the mapping relation between the model part type and the task type, configuring a task decomposition strategy and a task future standard;
b) In the run phase, the operations include:
b1 Obtaining a product to be ground, disassembling the product to be ground according to the model part type, completing task decomposition strategy context,
B2 A task scheduling engine is called, firstly, a model part to which a product to be ground belongs is determined, secondly, a task type which can be mapped is determined according to the model part type, finally, all task types of the product to be ground are determined according to a disassembly result of the product to be ground,
B3 Iterating all task types of the product to be researched, and determining a task decomposition strategy and a task future standard to be executed.
Further, in the prefabrication stage, the configured model part information comprises model part identification, model part coding, model part name, model part type identification and remarks, wherein,
The model part identifier is used for uniquely identifying one model part to finish the identification of the model part,
The model part code is used to describe the code of the model part,
The model part name is used to describe the name of the model part,
The model part type identifier is used for identifying the model part type to which the model part belongs,
The remarks are used to briefly describe all products belonging to one model part, and the purpose and applicable scene of each product.
Further, in the prefabrication stage, the defined model part type comprises a model part type identifier, a model part type name, a model part type code and remarks, wherein,
The model part type identifier is used for uniquely identifying one model part type and completing the identification of the scientific research production model part type,
The model part type name is used to describe the model part type, including both parts and components,
Model part type coding is used for coding of model part types,
Remarks are made for a simple description of the use and features of the model part type.
Further, in the prefabrication stage, the defined task type comprises four parts of information including a task type identifier, a task type code, a task type name and a remark, wherein,
The task type identifier is used for uniquely identifying one task type, identifying the scientific research production task type,
Task type codes are used for coding of task types, in order to distinguish between different task types,
The task type name is used for describing the name of the task type and comprises four types of design tasks, process tasks, tool tasks and assembly tasks,
Remarks are used to briefly describe the purpose and applicable scenario of the task type.
Further, in the prefabrication stage, the mapping relation between the configured model part type and the task type comprises a mapping identifier, a model part type identifier, a task type identifier and a sequence number, wherein,
The mapping identifier is used for uniquely identifying the mapping relation between one model part type and the task type, is used for identifying the mapping relation between the model part type and the task type,
The model part type identifier and the task type identifier are respectively used for identifying different model part types and task types, and one model part type is provided with a plurality of task types which are related to the model part type, the task types are in sequence, namely, after the task of the previous task type is completed, the task of the next task type can be carried out,
The sequence number is used to identify the order between different task types of the same model part type.
Preferably, based on different model part task types, the same task types can have the same sequence numbers;
Based on the same model part task type, different task types cannot have the same sequence number.
Further, in the prefabrication stage, the configured task decomposition strategy comprises strategy identification, task type identification and task decomposition strategy implementation class, wherein,
Policy identification is used to uniquely identify a task decomposition policy,
The task type identifier is used for uniquely identifying one task type, different task types have different task decomposition strategies,
The task decomposition policy implementation class is used for providing specific decomposition policies aiming at task types, and comprises four types of design class decomposition policy configuration, process class decomposition policy configuration, tool class decomposition policy configuration and final assembly class decomposition policy configuration.
Further, the task future standard is used to describe the time or amount that the model piece needs to use to perform a task of a particular task type,
In the prefabrication stage, the configured task schedule standards comprise schedule identification, model part identification, task type standards, schedule and remarks, wherein,
The deadline identifier is used for uniquely identifying a model part task deadline criterion,
The model part identification is used for identifying the model part,
The task type criteria is used to identify the task type,
The term is used to describe the consumption of time or quantity to perform a unit task, which may be time or quantity when the model component specifies the term of the task type,
Remarks are used to briefly describe the model part task future standard.
Further, in the operation stage, based on the disassembling structure of the product to be grinded, the product to be grinded is disassembled according to two types of parts and components, and the task decomposition policy context is completed and comprises five information of the product to be grinded, the model part identifier, the task type identifier, the production direction, the quantity and the date,
The product to be ground identification is used for uniquely identifying the parts and components contained in the product to be ground,
The model part identification is used for uniquely identifying a model part to be subjected to task decomposition,
The task type identification is used to identify a task type,
The production direction is used for identifying whether the task is positive or negative, i.e. from front to back or from back to front,
The number indicates the number of parts and components to be subjected to task decomposition,
The date indicates a reference date of the production, here a start date when the forward discharge is performed, and a completion date when the backward discharge is performed.
Further, in the operation stage, in the process of B1), firstly, a model part to which a product to be ground belongs is found, then the product to be ground is disassembled according to the model part type to obtain a plurality of parts and parts, and each part and part is marked with five information of a product identifier to be ground, a model part identifier, a task type identifier, a production direction, the quantity and the date;
B2 In the process, any part or part obtained by disassembling the B1) is required to be determined, the type of the task which can be mapped is determined according to the type of the model part, then the disassembling result of the product to be grinded is synthesized, the task types of all parts and parts of the product to be grinded are determined through the model part type identifier, and the sequence of all task types is determined according to the sequence number;
b3 In the process, the task decomposition strategy and the task option standard are required to be executed according to the sequence determined by the sequence number.
Compared with the prior art, the task decomposition method based on the model part in the scientific research production mode has the beneficial effects that:
According to the invention, the model part is taken as a core, the model part type, the task type corresponding to the model part type and the task decomposition strategy corresponding to the task type are defined, the task decomposition of the product to be researched is realized through the matching of the product to be researched and the model part, the workload of manually decomposing the product to be researched is reduced, the problems of leakage, heavy task, inconsistent front and rear tasks and the like of manually decomposing the production task of the product to be researched are avoided, and the efficiency and the degree of automation of the task decomposition of scientific research production can be improved.
Detailed Description
In order to make the technical scheme, the technical problems to be solved and the technical effects of the invention more clear, the technical scheme of the invention is clearly and completely described below by combining specific embodiments.
Embodiment one:
the embodiment provides a task decomposition method based on model parts in a scientific research production mode, and implementation contents of the task decomposition method comprise a prefabrication stage and an operation stage.
A) In the prefabrication phase, the operations thereof include:
a1 For a plurality of products of the same series, configuring model part information of the plurality of products when the degree of similarity of the disassembling structure and the process route of the plurality of products exceeds 90%.
The configured model part information comprises model part identification, model part coding, model part name, model part type identification and remarks, wherein,
The model part identifier is used for uniquely identifying one model part to finish the identification of the model part,
The model part code is used to describe the code of the model part,
The model part name is used to describe the name of the model part,
The model part type identifier is used for identifying the model part type to which the model part belongs,
The remarks are used to briefly describe all products belonging to one model part, and the purpose and applicable scene of each product.
A2 Defining the model part type according to the structure contained after the product is disassembled. As in table 1:
TABLE 1 model part types
The defined model part type comprises a model part type identifier, a model part type name, a model part type code and remarks, wherein,
The model part type identifier is used for uniquely identifying one model part type and completing the identification of the scientific research production model part type,
The model part type name is used to describe the model part type, including both parts and components,
Model part type coding is used for coding of model part types,
Remarks are made for a simple description of the use and features of the model part type.
A3 Defining a task type based on the model part type, the disassembled structure of the plurality of products, and the process route. As in table 2:
TABLE 2 task types
The defined task type comprises four parts of information including task type identification, task type coding, task type name and remark, wherein,
The task type identifier is used for uniquely identifying one task type, identifying the scientific research production task type,
Task type codes are used for coding of task types, in order to distinguish between different task types,
The task type name is used for describing the name of the task type and comprises four types of design tasks, process tasks, tool tasks and assembly tasks,
Remarks are used to briefly describe the purpose and applicable scenario of the task type.
A4 Configuration model part type and task type mapping relationship as in table 3:
TABLE 3 mapping of model part types and task types
Mapping identity Model part type identification Task type identification Sequence number
1001 Product Design 1
1002 Product Routing 2
1003 Product Frock 3
1004 Product Assembly 4
2001 Part Design 1
2002 Part Routing 2
2003 Part Frock 3
The mapping relation comprises mapping identification, model part type identification, task type identification and sequence number, wherein,
The mapping identifier is used for uniquely identifying the mapping relation between one model part type and the task type, is used for identifying the mapping relation between the model part type and the task type,
The model part type identifier and the task type identifier are respectively used for identifying different model part types and task types, and one model part type is provided with a plurality of task types which are related to the model part type, the task types are in sequence, namely, after the task of the previous task type is completed, the task of the next task type can be carried out,
The sequence number is used to identify the order between different task types of the same model part type.
Based on different model part task types, the same task types may have the same sequence numbers.
Based on the same model part task type, different task types cannot have the same sequence number.
A5 Based on the mapping relation between the model part type and the task type, configuring a task decomposition strategy and a task future standard.
The configured task decomposition policy includes a policy identification, a task type identification, a task decomposition policy implementation class, wherein,
Policy identification is used to uniquely identify a task decomposition policy,
The task type identifier is used for uniquely identifying one task type, different task types have different task decomposition strategies,
The task decomposition policy implementation class is used for providing specific decomposition policies for task types, and comprises four types of design class decomposition policy configuration, process class decomposition policy configuration, tool class decomposition policy configuration and assembly class decomposition policy configuration, as shown in table 4:
TABLE 4 task decomposition strategy
The task future standard is used to describe the time or amount of time that a model piece needs to use to perform a task of a particular task type. The configured task future standard comprises a period identifier, a model part identifier, a task type standard, a period and remarks, wherein,
The deadline identifier is used for uniquely identifying a model part task deadline criterion,
The model part identification is used for identifying the model part,
The task type criteria is used to identify the task type,
The term is used to describe the consumption of time or quantity to perform a unit task, which may be time or quantity when the model component specifies the term of the task type,
Remarks are used to briefly describe the model part task future standard.
B) In the run phase, the operations include:
B1 Obtaining a product to be ground, disassembling the product to be ground according to the model part type, and completing task decomposition strategy context. The method specifically comprises the following steps:
Based on the disassembling structure of the product to be grinded, firstly finding out the model part to which the product to be grinded belongs, then disassembling the product to be grinded according to the model part type to obtain a plurality of parts and parts, completing the task decomposition strategy context, wherein each part and part is marked with five information of the product to be grinded, the model part identifier, the task type identifier, the production direction, the quantity and the date,
The product to be ground identification is used for uniquely identifying the parts and components contained in the product to be ground,
The model part identification is used for uniquely identifying a model part to be subjected to task decomposition,
The task type identification is used to identify a task type,
The production direction is used for identifying whether the task is positive or negative, i.e. from front to back or from back to front,
The number indicates the number of parts and components to be subjected to task decomposition,
The date indicates a reference date of the production, here a start date when the forward discharge is performed, and a completion date when the backward discharge is performed.
B2 And (3) invoking a task scheduling engine, wherein any part or part obtained by disassembling the B1) is required to be firstly determined to be a model part, secondly, a task type which can be mapped is determined according to the model part type, then, the disassembling result of the product to be grinded is synthesized, the task types of all parts and parts of the product to be grinded are determined through model part type identification, and the sequence of all task types is determined according to sequence numbers.
B3 Iterating all task types of the product to be researched, and executing a task decomposition strategy and a task option standard according to the sequence determined by the sequence number.
When the task decomposition method of the present embodiment is specifically applied to a suction pump,
B1 In the process), firstly, a model part to which the water pump belongs is found, then the water pump is disassembled according to two modes of parts and components to obtain N parts and M components, N, M are natural numbers, and the product identification to be ground, the model part identification, the task type identification, the production direction, the quantity and the date information of the multiple parts and components obtained through disassembly are marked. It should be added that, the specific value N, M is related to the information of the model part of the same series of products, that is, when the similarity of the disassembling structure and the process route of the products exceeds 90%, the developer must appropriately adjust the disassembling structure and the process route of the products on the basis of not changing the overall structure of the products so as to increase the similarity of the products on the disassembling structure and the process route.
B2 In the process), a task scheduling engine is called, the task types of N components and M parts respectively contained after the water pump is disassembled are determined based on the model component to which the water pump belongs, the mapping relation between the model component type to which any component and part belong and the task type is determined, and the sequence number of the task type to which any component or part belongs.
B3 In the process of determining the task types of the N components and the M parts, it is required to know that four task types are available, the number of each task type is counted in a classified manner, and the task decomposition strategy and the task option standard are sequentially executed according to the sequence number of the task type to which the component or the part belongs.
Based on the process of B1) -B3), the disassembly of the water pump can be completed, so that corresponding task decomposition strategies are executed on the components and parts obtained after the disassembly of the water pump, the problems of leakage, heavy task, inconsistent front and rear tasks and the like of manually decomposing production tasks of products to be researched are avoided, and the efficiency and the degree of automation of decomposing scientific research production tasks are improved.
The foregoing has outlined rather broadly the principles and embodiments of the present invention in order that the detailed description of the invention may be better understood. Based on the above-mentioned embodiments of the present invention, any improvements and modifications made by those skilled in the art without departing from the principles of the present invention should fall within the scope of the present invention.

Claims (7)

1. The task decomposition method based on the model part in the scientific research production mode is characterized in that the implementation content comprises a prefabrication stage and an operation stage;
A) In the prefabrication phase, the operations thereof include:
A1 For a plurality of products in the same series, when the disassembling structure and the process route similarity of the plurality of products exceed 90 percent, configuring model part information of the plurality of products, wherein the configured model part information comprises a model part identifier, a model part code, a model part name, a model part type identifier and remarks, the model part identifier is used for uniquely identifying one model part to finish the identification of the model part, the model part code is used for describing the code of the model part, the model part name is used for describing the name of the model part, the model part type identifier is used for identifying the model part type to which the model part belongs, the remarks are used for simply describing all products belonging to one model part and the application and applicable scene of each product,
A2 Defining model part types according to the structure contained after the disassembly of the product, wherein the model part type identification is used for uniquely identifying one model part type and completing the identification of the model part type in scientific research production, the model part type name is used for describing the model part type and comprises two parts and a part, the model part type code is used for coding the model part type, the remark is used for simply describing the purpose and the characteristic of the model part type,
A3 Defining task types based on the model part types, the disassembling structures and the process routes of the products, including task type identification, task type codes, task type names and remarks, wherein the task type identification is used for uniquely identifying one task type and identifying scientific research production task types, the task type codes are used for the task type codes so as to distinguish different task types, the task type names are used for describing the names of the task types, including four types of design type tasks, process type tasks, tool type tasks and assembly type tasks, the remarks are used for simply describing the purposes and applicable scenes of the task types,
A4 A mapping relationship of the configuration model part type and the task type,
A5 Based on the mapping relation between the model part type and the task type, configuring a task decomposition strategy and a task future standard;
b) In the run phase, the operations include:
B1 Obtaining a product to be ground, disassembling the product to be ground according to the model part type, completing task decomposition strategy context,
B2 A task scheduling engine is called, firstly, a model part to which a product to be ground belongs is determined, secondly, a task type which can be mapped is determined according to the model part type, finally, all task types of the product to be ground are determined according to a disassembly result of the product to be ground,
B3 Iterating all task types of the product to be researched, and determining a task decomposition strategy and a task future standard to be executed.
2. The method of claim 1, wherein the mapping relationship between the model part type and the task type in the prefabrication stage comprises mapping identification, model part type identification, task type identification, and sequence number, wherein,
The mapping identification is used for uniquely identifying the mapping relation between one model part type and the task type, is used for identifying the mapping relation between the model part type and the task type,
The model part type identifier and the task type identifier are respectively used for identifying different model part types and task types, and one model part type is provided with a plurality of task types which are related to the model part type, the task types are in sequence, namely, after the task of the previous task type is completed, the task of the next task type can be carried out,
The sequence number is used to identify the order between different task types of the same model part type.
3. The model-based task decomposition method in a scientific research production mode according to claim 2, wherein the same task type has the same sequence number based on different model task types;
Based on the same model part task type, different task types cannot have the same sequence number.
4. The method for model-based task decomposition in a scientific research production mode according to claim 2, wherein in the prefabrication stage, the configured task decomposition strategy includes strategy identification, task type identification, task decomposition strategy implementation class, wherein,
Policy identification is used to uniquely identify a task decomposition policy,
The task type identifier is used for uniquely identifying one task type, different task types have different task decomposition strategies,
The task decomposition policy implementation class is used for providing specific decomposition policies aiming at task types, and comprises four types of design class decomposition policy configuration, process class decomposition policy configuration, tool class decomposition policy configuration and final assembly class decomposition policy configuration.
5. The method of claim 4, wherein the task performance criteria is used to describe a time or amount of time required for the model to perform a task of a specific task type,
In the prefabrication stage, the configured task schedule standards comprise schedule identification, model part identification, task type standards, schedule and remarks, wherein,
The deadline identifier is used for uniquely identifying a model part task deadline criterion,
The model part identification is used for identifying the model part,
The task type criteria is used to identify the task type,
The term is used to describe the consumption of time or quantity to perform a unit task, which may be time or quantity when the model component specifies the term of the task type,
Remarks are used to briefly describe the model part task future standard.
6. The method for decomposing tasks based on model parts in a scientific research production mode according to claim 5, wherein in the operation stage, the product to be researched is disassembled according to two types of components and parts based on the disassembly structure of the product to be researched, and a task decomposition policy context is completed, wherein the task decomposition policy context comprises five information of the identification of the product to be researched, the identification of the model part, the identification of the task type, the production direction, the quantity and the date,
The product to be ground identification is used for uniquely identifying the parts and components contained in the product to be ground,
The model part identification is used for uniquely identifying a model part to be subjected to task decomposition,
The task type identification is used to identify a task type,
The production direction is used for identifying whether the task is positive or negative, i.e. from front to back or from back to front,
The number indicates the number of parts and components to be subjected to task decomposition,
The date indicates a reference date of the production, here a start date when the forward discharge is performed, and a completion date when the backward discharge is performed.
7. The task decomposition method based on model parts in scientific research production mode according to claim 6, wherein in the operation stage, in the process of B1), firstly, a model part to which a product to be researched belongs is found, and then the product to be researched is disassembled according to the model part type to obtain a plurality of parts and parts, wherein each part and part is marked with five information of a product identifier to be researched, a model part identifier, a task type identifier, a production direction, the number and the date;
B2 In the process, any part or part obtained by disassembling the B1) is required to be determined, the type of the task which can be mapped is determined according to the type of the model part, then the disassembling result of the product to be grinded is synthesized, the task types of all parts and parts of the product to be grinded are determined through the model part type identifier, and the sequence of all task types is determined according to the sequence number;
b3 In the process, the task decomposition strategy and the task option standard are required to be executed according to the sequence determined by the sequence number.
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CN112102104B (en) * 2020-11-19 2021-02-26 杭州优海信息系统有限公司 Manufacturing method of industrial products in discrete manufacturing industry based on network plan

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002117079A (en) * 2000-10-06 2002-04-19 Ricoh Co Ltd Process design assisting device
JP2002263970A (en) * 2001-03-07 2002-09-17 Ricoh Co Ltd Assembly and disassembly process design assisting device
CN103235556A (en) * 2013-03-27 2013-08-07 南京航空航天大学 Feature-based numerical-control method for processing and manufacturing complicated parts
CN103268390A (en) * 2013-06-14 2013-08-28 北京理工大学 Computer-aided process planning method with graphic function
CN103995858A (en) * 2014-05-15 2014-08-20 北京航空航天大学 Individualized knowledge active pushing method based on task decomposition
CN104036092A (en) * 2014-06-27 2014-09-10 东南大学 Three-dimensional process model modeling method oriented to assembly process
CN104732346A (en) * 2015-03-23 2015-06-24 浪潮通用软件有限公司 Unified limited capacity scheduling method based on metadata
CN105447605A (en) * 2014-08-12 2016-03-30 中国科学院沈阳自动化研究所 APS production model-oriented dynamic modeling method
DE102016007072A1 (en) * 2015-06-15 2016-12-15 Uptime Holding Gmbh Process for the development of a product
JP2018005651A (en) * 2016-07-05 2018-01-11 日立Geニュークリア・エナジー株式会社 Disassembly carry-out plan generation device and disassembly carry-out plan generation method
CN107570430A (en) * 2017-10-26 2018-01-12 中国人民解放军国防科技大学 Intelligent robot-based part sorting method in mechanical equipment maintenance process
CN108388977A (en) * 2018-01-18 2018-08-10 同济大学 A kind of co-development system and method towards intelligence manufacture

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11087184B2 (en) * 2018-09-25 2021-08-10 Nec Corporation Network reparameterization for new class categorization

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002117079A (en) * 2000-10-06 2002-04-19 Ricoh Co Ltd Process design assisting device
JP2002263970A (en) * 2001-03-07 2002-09-17 Ricoh Co Ltd Assembly and disassembly process design assisting device
CN103235556A (en) * 2013-03-27 2013-08-07 南京航空航天大学 Feature-based numerical-control method for processing and manufacturing complicated parts
CN103268390A (en) * 2013-06-14 2013-08-28 北京理工大学 Computer-aided process planning method with graphic function
CN103995858A (en) * 2014-05-15 2014-08-20 北京航空航天大学 Individualized knowledge active pushing method based on task decomposition
CN104036092A (en) * 2014-06-27 2014-09-10 东南大学 Three-dimensional process model modeling method oriented to assembly process
CN105447605A (en) * 2014-08-12 2016-03-30 中国科学院沈阳自动化研究所 APS production model-oriented dynamic modeling method
CN104732346A (en) * 2015-03-23 2015-06-24 浪潮通用软件有限公司 Unified limited capacity scheduling method based on metadata
DE102016007072A1 (en) * 2015-06-15 2016-12-15 Uptime Holding Gmbh Process for the development of a product
JP2018005651A (en) * 2016-07-05 2018-01-11 日立Geニュークリア・エナジー株式会社 Disassembly carry-out plan generation device and disassembly carry-out plan generation method
CN107570430A (en) * 2017-10-26 2018-01-12 中国人民解放军国防科技大学 Intelligent robot-based part sorting method in mechanical equipment maintenance process
CN108388977A (en) * 2018-01-18 2018-08-10 同济大学 A kind of co-development system and method towards intelligence manufacture

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
产品协同创新设计任务分解及资源分配;杨育;重庆大学学报;20140131;第37卷(第1期);第31-38页 *
基于任务结构的产品设计知识模型研究;王珂;廖文和;郭宇;俞烽;;中国机械工程;20080210(03);第308-312页 *

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