scholarly journals Product Family Modeling Method for Rapid Response Design

2011 ◽  
Vol 1 ◽  
pp. 105-109
Author(s):  
Shou Ming Hou ◽  
Li Juan He ◽  
Hua Long Xie ◽  
Yong Xian Liu
Keyword(s):  
Configuration Management ◽  
Product Family ◽  
Rapid Response ◽  
Product Configuration ◽  
Design System ◽  
Variant Design ◽  
Design Resources ◽  
Master Model ◽  
Rolling Guide ◽  
Resource Library

Design resources reuse is very important to the rapid response design. In this paper, a design resources reusable model based on product family is established to meet the rapid response design. Firstly, parameters transmission structure of product family is constructed based on Generic Bill of Materials (GBOM) and product master model, and then the reused design resource library is established by the instantiation to master model. Finally product configuration management and variant design is realized on the basis of the reused design resource library. In the developing process of the rapid response design system of machine tool component, the Linear Motion (LM) rolling guide variant design subsystem is developed by the application of the above methods to realize the variant design and configuration management of LM rolling guide. The result shows that the method can provide a reliable guarantee for establishment and effective management of corporate design resource base.

A Knowledge Based Approach for Product Variant Design

2013 ◽  
Vol 300-301 ◽  
pp. 81-84
Author(s):  
Yang Dong Wu ◽  
Tai Hua Zhang
Keyword(s):  
Domain Knowledge ◽  
Process Model ◽  
Information Resource ◽  
Design System ◽  
Resource Base ◽  
Variant Design ◽  
Knowledge Based ◽  
Design Resources ◽  
Key Factor ◽  
Design Reasoning

In order to solve the problem that design resources can not be effectively reused, variant design is used in engineering field. Knowledge is the key factor implementing strategy of variant design. This paper puts forward the knowledge classification, process model, information resource base and reasoning model for variant design. Knowledge of variant design is classified into product domain knowledge, variant design methodology and basis theory knowledge, variant design process combines top-down mode to bottom-top mode, its corresponding information resource base includes case base, knowledge base and database. CBR is the core for design reasoning. The frame of knowledge-based variant design system includes resource base, resource management, variant design and evaluation subsystem. Using the system, designer could reuse design resource and reduce developing cost.

Rapid Locking Assembly Variant Design Based on Product Configuration Model and CBR

2011 ◽  
Vol 48-49 ◽  
pp. 868-872 ◽  
Author(s):  
Yong Nie ◽  
Guo Fu Yin ◽  
Xiu Fen Zhao ◽  
Hui Fang ◽  
Ying Yin
Keyword(s):  
Rapid Response ◽  
Product Configuration ◽  
Configuration Model ◽  
Mechanical Transmission ◽  
Case Based Reasoning ◽  
Software System ◽  
Variant Design ◽  
Bill Of Materials ◽  
Design Software ◽  
Product Configuration Model

Aiming at rapid response to requirements of mechanical transmission products customization, a system for rapid locking assembly variant design was proposed in terms of features of locking assembly. The bases of the system are Product Configuration Model (PCM) and Case-Based Reasoning (CBR). According to the system, PCM of locking assembly was built by extending traditional Generic Bill of Materials (GBOM). In addition, integration of PCM and CBR was completed by combining method of transforming PCM to a case with similarity assessment algorithm. Moreover, a rapid variant design software system based on PCM and CBR for locking assembly was developed. Finally, the software system was applied to design new locking assembly. Results demonstrate that it is effective for PCM-CBR to support rapid response to customization.

A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities

2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi
Keyword(s):  
Data Mining ◽  
Product Family ◽  
Research Direction ◽  
Design Constraints ◽  
Variant Design ◽  
Data Mining Approach ◽  
Design Activities ◽  
Using Data ◽  
New Research

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.

scholarly journals A graph-based computerized optimal conceptual design synthesis within the distributed multi-disciplinary resource environment

2021 ◽  
Vol 9 (4B) ◽  
Author(s):  
Bin Chen ◽  
◽  
Jie Hu ◽  
Weixing Chen ◽  
◽  
...  
Keyword(s):  
Conceptual Design ◽  
Computer Applications ◽  
Design System ◽  
Design Synthesis ◽  
Design Goal ◽  
Design Resources ◽  
Novel Design ◽  
Resource Environment ◽  
Software Prototype ◽  
Related Design

The trend of inter-disciplinary conceptual design synthesis requires designers to involve more and more distributed multi-disciplinary design resources. Therefore, this paper proposes a graph-based computerized optimal conceptual design synthesis to help designers explore novel design schemes within the distributed multi-disciplinary resource environment. The design resources tightly related to the design goal can be extracted from the huge resource environment by a proposed searching engine. The optimal design scheme can be generated from these related design resources by a proposed graph-based algorithm. A set of computer applications called Automatic Conceptual Design System (ACDS) is established to verify the feasibility of this proposed conceptual design synthesis, and a garbage power system’s conceptual design is completed by this software prototype.

A computer-assisted automatic conceptual design system for the distributed multi-disciplinary resource environment

2016 ◽  
Vol 231 (6) ◽  
pp. 1094-1112 ◽  
Author(s):  
Bin Chen ◽  
You-Bai Xie
Keyword(s):  
Conceptual Design ◽  
Large Scale ◽  
Design System ◽  
Computer Assisted ◽  
Illustrative Case ◽  
Detail Design ◽  
Starting Point ◽  
Design Resources ◽  
The Rich ◽  
Resource Environment

The trend of large-scale development of design industry requires efficient and full use of the rich design resources in the distributed multi-disciplinary resource environment. However, the designers are susceptible to many subjective and objective impacts, like knowledge structure, computing capability, geographic position, and administrative division. These impacts make the usage of design resources unstable and inefficient. Therefore, this paper proposed a computer-assisted automatic conceptual design system (CACDS). This system assumes that the design resources in the distributed multi-disciplinary resource environment exist in the form of functional elements with the same format, so that, the geographic, administrative, and disciplinary barriers in the design process can be broken, and the design resources can be fully used. CACDS is based on a group of basic concepts and their representations, its core is a functional solution generating algorithm, which is used to automatically generate functional solutions. As the result of the conceptual design, these functional solutions are also the starting point of the following detail design phase. Finally, a lighting system for underground greenhouse is designed as an illustrative case to validate the feasibility of the proposed CACDS.

Identification of the Optimal Product Configuration and Parameters for Improving Manufacturability

1996 ◽  
Author(s):  
Deyi Xue
Keyword(s):  
Global Optimization ◽  
Optimization Methods ◽  
Product Configuration ◽  
Design System ◽  
Optimization Approach ◽  
Continuous Variables ◽  
Integer Variables ◽  
System A ◽  
Global Optimization Methods

Abstract A global optimization approach for identifying the optimal product configuration and parameters is proposed to improve manufacturability measures including feasibility, cost, and time of production. Different product configurations, including alternative design candidates and production processes, are represented by an AND/OR graph. Product parameters are described by variables including continuous variables, integer variables, Boolean variables, and discrete variables. Two global optimization methods, genetic algorithm and simulated annealing, are employed for identifying the optimal product configuration and parameters. The introduced approach serves as a key component in an integrated concurrent design system. A case study example is given to show how the proposed method is used for solving the engineering problems.

Parallel Processing of Product Configuration for Cloud-Based Mass Customization Service Platform

2012 ◽  
Vol 532-533 ◽  
pp. 1196-1200
Author(s):  
Jun Hua Che ◽  
Bin Ma ◽  
Qian Zeng
Keyword(s):  
Parallel Processing ◽  
Mass Customization ◽  
Product Family ◽  
Product Configuration ◽  
Configuration Design ◽  
Service Platform ◽  
Abc Analysis ◽  
Massive Parallel Processing

The greatest feature of cloud-based mass customization service platform is massive parallel processing of information. So the good or bad of the parallel processing determines the precision and efficiency of cloud-based mass customization service platform. This paper brings up the method of parallel processing of configuration design for the cloud-based mass customization service platform. The parallel processing of product configuration is performed by ABC analysis, parallel BOM and product family. Finally this research has been applied for customization product: Gearbox, and has improved the efficiency of parallel processing for the cloud-based mass customization service platform.

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