Variant design process programming of assembly based on dimension constraint complexity

2010 ◽  
Author(s):  
Xinsheng Xu ◽  
Dan Li
Keyword(s):  
Design Process ◽  
Variant Design ◽  
Dimension Constraint

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.

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.

Product Pedigree Based Conceptual Structure Evolutionary Design

2012 ◽  
Vol 215-216 ◽  
pp. 612-615
Author(s):  
Xing Zu Wang ◽  
Bo Yang ◽  
Kong Yao ◽  
Chang Qing Gao
Keyword(s):  
Conceptual Design ◽  
Design Process ◽  
Design Method ◽  
Conceptual Structure ◽  
Structure Design ◽  
Classification Model ◽  
Evolutionary Design ◽  
Variant Design ◽  
Interaction Field ◽  
The Relationship

By applying biological pedigree concept into product conceptual structure design, an conceptual structural design approach is set forth to make full use of creative and innovative intelligence of living systems for design automation. According to the relationship between different product structures with same function, the classification model of product pedigree is established, which can be used as unified functional isomorphic model during the intelligent conceptual design process. On the other hand, according to the evolutional logic from quality change to quantities change, pedigree based product evolutionary design strategy is given. Product pedigrees which are homology dependent are used as basic evolutionary models, based on which, the parameter based, interaction field based and interaction mater based evolutional conceptual design method are proposed, respectively. Based on the relation network of the pedigree units, multiple variant design schemes can be obtained, which is a strong backbone to the innovative design process. Finally, design examples are used to demonstrate the successful application of the proposed pedigree based evolutionary method in the product variant design.

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.

Modeling the Design Process of Product Variants With Timed Colored Petri Nets

2009 ◽  
Vol 131 (6) ◽  
Author(s):  
Qianli Xu ◽  
Jianxin (Roger) Jiao
Keyword(s):  
Petri Nets ◽  
Design Process ◽  
Process Model ◽  
Colored Petri Nets ◽  
Task Planning ◽  
Variant Design ◽  
Product Variant ◽  
Design Activities ◽  
Design Process Model ◽  
Timed Colored Petri Nets

The design process of product variants involves complicated task planning that needs to leverage a number of design activities and resources. A comprehensive product variant design process model is imperative for capturing the semantics underlying product variants and subsequently supporting design process planning decisions. This paper applies timed colored Petri nets (TCPN) to model various elements of the product variant design process. The TCPN model performs as a generic design process platform from which alternative configurations of process plans can be derived and further converted to discrete-event simulation models for evaluation. A case study of car dashboard family design demonstrates that the TCPN design process model can effectively represent the elements of multiple design processes and support design task planning while leveraging design activities and resource allocation at the entire product family level.

The Application of CBR in Stone Equipment Variant Design

2011 ◽  
Vol 230-232 ◽  
pp. 144-148
Author(s):  
Jing Kun Wang ◽  
Jian Jun Li ◽  
Jin Sheng Zhang ◽  
Xing Ai
Keyword(s):  
Design Process ◽  
Design Principle ◽  
Case Based Reasoning ◽  
Variant Design ◽  
Design Time ◽  
Resolution Model ◽  
Actual Design ◽  
Case Based

This paper studies the application of CBR (case-based reasoning) in stone equipments variant design. As the actual design process and CBR process have collateral corresponding relation, CBR accords with the actual design process of deviser. The basic resolution model of variant design is established, and the instance of products variant design is presented. With the application of variant design principle, the design intensity will be lightened, and the design time will be shortened. Therefore the variant design accommodates the requirement of products diversification and client orientation.

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.

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.

The Applicability of the Axiomatic and Decision-Based Design Equations in Variant Design

1997 ◽  
Author(s):  
Matthew Marston ◽  
Bert Bras ◽  
Farrokh Mistree
Keyword(s):  
Design Process ◽  
Design Science ◽  
Axiomatic Design ◽  
Algebraic Model ◽  
Axiomatic Approach ◽  
Variant Design ◽  
New Model ◽  
Decision Based Design

Abstract For sometime Nam Suh’s axiomatic design has been a view of design science; a view in which design science is seen as a process subject to a set of rules or governing, rational axioms. The two principal limitations of axiomatic design as espoused by Suh are 1) its inability to be used at every stage in a design process, and 2) the lack of supporting tools for designing with the axioms. It is our contention that in order to improve the existing axiomatic approach to design, a new model for designing is needed. In this paper we offer a fundamental algebraic model for design, the Decision-Based Design equations, that encompasses Suh’s axiomatic design and is applicable at any stage in a design process.

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