Dimension Parameter Transfer Method Based on Constraint Satisfaction Priority in Variant Design

2009 ◽  
Vol 16-19 ◽  
pp. 203-207 ◽  
Author(s):  
Wei Ping Shao ◽  
Yong Ping Hao ◽  
Yang Wang ◽  
Yong Xian Liu
Keyword(s):  
Network Model ◽  
Constraint Satisfaction ◽  
Variant Design ◽  
Design Concepts ◽  
Product Variant ◽  
Constraint Relation ◽  
Design Systems ◽  
Transfer Method ◽  
Dimension Constraint ◽  
Dimension Parameter

In order to accommodate the increasing variety of costumers’ demands, manufacturers tend to produce different models of the same product by introducing variant design concepts that improve the flexibility of design systems. In this paper, an approach based on constraint satisfaction priority is proposed to solve the dimension parameter transferring problem. Firstly, product variant parameters and variant relations are analyzed. Secondly, dimension constraint relation network model is conceived and parameters constraint forms is discussed. Finally, a parameters transfer method based on constraint satisfaction priority is established.

A Variant Design Method of Assembly Based on Tree Structure

2011 ◽  
Vol 421 ◽  
pp. 263-266
Author(s):  
Hai Xin Zhao ◽  
Fu Yun Liu ◽  
Ying Sun ◽  
Kun Xu
Keyword(s):  
Design Method ◽  
Sorting Algorithm ◽  
Market Demand ◽  
Variant Design ◽  
Product Variant ◽  
Joint Coupling ◽  
Key Technologies ◽  
Transfer Method ◽  
Dimension Parameter ◽  
Product Dimension

In the current market demand of rapid response manufacturing, the product variant design technology is one of the key technologies. Product variant design principles and methods are first described. Then, product dimension parameter is analyzed and product dimension parameter transferring structure is studied. Applying tree theory to product variant design, a dimension relation driving-tree of components and parts is constructed and the significance of driving-tree statistics and a dimension parameters transfer method are presented. The methods and processes which are applied to variant design and the sorting algorithm of relations are described in detail. A parameterized variant design module integrated with SolidWorks was developed with VC + +. All the above mentioned methods and processes are verified by taking a joint coupling product as an example.

An approach to generating the sequence of part variant design based on information transfer utility

2019 ◽  
Vol 39 (1) ◽  
pp. 186-199
Author(s):  
Xinsheng Xu ◽  
Jing Lin ◽  
Ying Xiao ◽  
Jianzhe Yu ◽  
Qing Liu ◽  
...  
Keyword(s):  
Design Process ◽  
Information Transfer ◽  
Two Stage ◽  
Variant Design ◽  
Content Type ◽  
Factors Affecting ◽  
Transfer Path ◽  
Constraint Network ◽  
Product Variant ◽  
Dimension Constraint

PurposeProduct variant design can only be achieved after all its constituent parts have been implemented by variant design. It is necessary to plan the sequence of part variant design reasonably. The product variant design process involves a large amount of information transfer events at the dimensional level. A reasonable product variant design process needs to make full use of the information transfer characters of parts to decrease the uncertainty of product variant design process. The existing methods of researching the product variant design process mainly focus on resource constraint and activity logic. They are deficient, however, in information transfer resolution and uncertainty management. This paper aims to address these issues.Design/methodology/approachThis paper identifies the number of dimension transfer paths and the position of dimension locating within a transfer path as being the key factors affecting the information transfer role of dimension. Information transfer utility is proposed to measure the information transfer capability of dimensions and parts. Based on these, a two-stage approach of generating the sequence of part variant design based on information transfer utility is proposed.FindingsThe uncertainty of dimension constraint network is minimal during the product variant design process when parts are implemented by variant design under the sequence generated through a two-stage method based on the information transfer utilities of parts, as does the times of parameter transferring and iteration in dimension constraint network.Originality/valuePart variant design under the sequence of descending information transferring utilities can decrease the difficulty of implementing product variant design validly and also increase the efficiency. This suggests an innovative method to planning the product variant design process reasonably from the perspective of informatics.

Variant Design Method of Assembly Consisting of Different Types of Parts

2011 ◽  
Vol 201-203 ◽  
pp. 1460-1463 ◽  
Author(s):  
Xin Sheng Xu ◽  
Dan Li ◽  
Meng Li Sun
Keyword(s):  
Constraint Satisfaction ◽  
Mass Customization ◽  
Design Method ◽  
Similarity Analysis ◽  
Effective Measure ◽  
Variant Design ◽  
Constraint Network ◽  
Different Types ◽  
Dimension Constraint

Variant design has been recognized as an effective measure to implement mass customization. Assembly consists of different types of parts. Its variant design is a profound issue need to be explored. Three aspects were discussed in this paper, namely, 1) part classification and dimension constraint satisfaction priority, 2) part reuse, 3) dimension conflict and variant postponing. Firstly, dimension constraint network among parts was constructed based on graph. And variant dimension transferring was exploited. Secondly, reusable part can be found from existing parts through similarity analysis. Thirdly, aiming at dimension constraint conflicts, variant postponing was proposed to concentrate variant design to few parts so as to reduce the number of variant part.

Research on the information transfer characteristics of dimensions in the product variant design process

2017 ◽  
Vol 32 (1) ◽  
pp. 59-74
Author(s):  
Xinsheng Xu ◽  
Tianhong Yan ◽  
Yangke Ding
Keyword(s):  
Design Process ◽  
Information Transfer ◽  
Variant Design ◽  
Constraint Network ◽  
Product Variant ◽  
Transfer Characteristics ◽  
Transfer Capability ◽  
Variant Information ◽  
Key Enabling Technologies ◽  
Natural Dynamics

AbstractProduct variant design, as one of the key enabling technologies of mass customization, is the transfer of variant information among mating parts from the perspective of informatics. A dimension constraint network (DCN) among mating parts carries on the task of transferring variant information. What are the information transfer characteristics of dimensions in a constraint network is a fundamental issue to plan the product variant design process reasonably. We begin by showing the natural dynamics of the DCN from two aspects: structure and uncertainty. The information efficiency of the DCN was proposed based on its simple path to specify the information transfer capability of the network. Based on this, the information centrality of the dimension was developed by measuring the efficiency loss of the DCN after the removal of a dimension from the network, which describes the information transfer capability of this dimension. Further, the information centrality of a part was derived. Using a spherical valve subassembly, we calculated the information centrality of the dimensions in a constraint network. We determined that the information centrality of dimension is highly correlated to its out-degree. An approach to plan the sequence of the part variant design according to its information centrality was proposed. We calculated the uncertainties of the DCN and its cumulative uncertainties under different sequences of the part variant design. Results indicate that part variant design under the descending information centrality of the parts minimizes the uncertainty of the DCN. This suggests a new method of planning the sequence of part variant design.

An Object-Oriented Modular Design Model Supported by Integrated Multi-Domain Knowledge

2011 ◽  
Vol 697-698 ◽  
pp. 785-789 ◽  
Author(s):  
X. Li ◽  
Yan Qun Huang
Keyword(s):  
Machine Tool ◽  
Physical Process ◽  
Domain Knowledge ◽  
Modular Design ◽  
Object Oriented ◽  
Design Model ◽  
Design Knowledge ◽  
Product Class ◽  
Variant Design ◽  
Product Variant

To enhance the ability and reliability of product variant design, an object-oriented framework was constructed using an extensible module/product class for setting up a modular design model. A module/product in a class was identified as an object by encapsulating the involved information as properties and the transforming or interaction activities as operations. This extensible object was gradually optimized through communications with other objects and integrations of design knowledge in five domains. These include Customer, Functional, Physical, Process and Engineering, which is a new domain introduced in this paper. The programmatic framework was implemented and successfully demonstrated using some typical machine tool products.

A Simulation Based Estimation of Crowd Ability and its Influence on Crowdsourced Evaluation of Design Concepts

2013 ◽  
Author(s):  
Alex Burnap ◽  
Yi Ren ◽  
Panos Y. Papalambros ◽  
Richard Gonzalez ◽  
Richard Gerth
Keyword(s):  
Bayesian Network ◽  
Network Model ◽  
High Ability ◽  
Bayesian Network Model ◽  
Design Concepts ◽  
Simulation Based ◽  
Design Attribute ◽  
True Scores ◽  
True Values

Crowdsourced evaluation is a promising method for evaluating attributes of design concepts that require human input. One factor in obtaining good evaluations is the ratio of high-ability to low-ability participants within the crowd. In this paper we introduce a Bayesian network model capable of finding participants with high design evaluation ability, so that their evaluations may be weighted more than those of the rest of the crowd. The Bayesian network model also estimates a score of how well each design concept performs with respect to a design attribute without knowledge of the true scores. Monte Carlo simulation studies tested the quality of the estimations on a variety of crowds consisting of participants with different evaluation ability. Results suggest that the Bayesian network model estimates design attribute performance scores much closer to their true values than simply weighting the evaluations from all participants in the crowd equally. This finding holds true even when the group of high ability participants is a small percentage of the entire crowd.

Product Variant Design Based on Extensible Modular Method

2012 ◽  
Vol 174-177 ◽  
pp. 1788-1791
Author(s):  
Xue Mei Zong ◽  
Jing Wang ◽  
Li Ping Zhang ◽  
Hong Guang Ma ◽  
Yan Qun Huang
Keyword(s):  
Design Process ◽  
User Requirements ◽  
Engineering Analysis ◽  
Variant Design ◽  
Manufacturing Enterprises ◽  
Set Size ◽  
Product Variant ◽  
Requirements Change ◽  
Structural Variables ◽  
Modular Method

Variant design is the main form of most manufacturing enterprises. In this paper, an extensible modular method is proposed to enable better and faster design. The structure module is set size inner-related, and then when the user requirements change, the key structural variables can be adjusted followed by the alterations of the driven sizes, also these alterations can be verified by the engineering analysis. Therefore, the product variant design process can be preceded effectively with the extensible modules.

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