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.

Product Configuration Design Based on Extensible Product Family for Mass Customization

2005 ◽  
Author(s):  
Shuyou Zhang ◽  
Harry H. Cheng
Keyword(s):  
Mass Customization ◽  
Machine Tools ◽  
Nearest Neighbor ◽  
Design Method ◽  
Product Family ◽  
New Product ◽  
Product Configuration ◽  
Basic Unit ◽  
Configuration Design ◽  
Nearest Neighbor Matching

A new product configuration design method based on extensible product family is presented in this paper. The extensible product family is a multi-layered model with extensible function, extensible principle, and extensible structure. Treating extensible element as a basic unit, the model can be used to associate extensible parts with reusable factors in the range from 0 to 1. The principle of configuration method has been implemented in software. Complicated rule editing and modification are handled by Ch, an embeddable C/C++ interpreter. Designers can establish and edit the configuration rules including formulas dynamically. According to the client requirements and nearest-neighbor matching, the results of the designed configuration can be obtained automatically. Furthermore, the multi-dimensional information about parameters and reusable factors can be displayed and analyzed graphically. If the client requirements or configuration rules are changed, the system can be easily re-configured to obtain designed results based on the new configuration quickly. The system has been successfully deployed and used to design complicated products with a large number of configurations and different specifications such as elevators, machine tools and smut-collectors.

RESEARCH ON DESIGN METHOD OF DEMAND-DRIVEN PRODUCT CONFIGURATION FOR MASS CUSTOMIZATION

2011 ◽  
Vol 10 (01) ◽  
pp. 117-125 ◽  
Author(s):  
YAPING WANG ◽  
GUIHUA HAN ◽  
JIANGHUA GE ◽  
JINGRUI QI ◽  
JIANYUAN XU
Keyword(s):  
Mass Customization ◽  
Design Method ◽  
Product Family ◽  
Product Configuration ◽  
Configuration Design ◽  
Customer Demand ◽  
Dynamic Demand ◽  
Ontology Model ◽  
Family Model ◽  
Relationship Of

This paper proposed demand-driven personalized product configuration design method. A variety of customer orders were clustered and fuzzy transformed; using ontology's feature to establish customer demand ontology model; in order to enable the product family to meet the dynamic demand of customers, established mapping relationship of customer demands and product family; using ontology to express product family model, achieved mapping of customer needs ontology and product family ontology, and improved efficiency of product configuration. Finally, we take planetary reducer as an example to demonstrate the feasibility of the method.

Study on Module Encoding Method Oriented Product Configuration Design

2009 ◽  
Vol 69-70 ◽  
pp. 535-539
Author(s):  
Cong Da Lu ◽  
X.H. Chen ◽  
Shao Fei Jiang ◽  
Guo Zhong Chai
Keyword(s):  
Mass Customization ◽  
Product Information ◽  
Product Structure ◽  
Product Configuration ◽  
Configuration Design ◽  
Geometric Features ◽  
Structure Model ◽  
Related Information ◽  
Computer Aided ◽  
Encoding Method

For the successful realization of product configuration design (PCD) in the condition of mass customization mode, the module encoding methods are studied. By analyzing the product structure model and the process of computer-aided PCD, all related information which is required for the module is decided. This paper proposes a scientific module encoding method suitable for PCD. It describes the geometric features of the modules, the interface relationships and the affiliations between modules. Further more, it introduces additional attribute codes used to evaluate product configuration. By this way the product information can be fully expressed in order to improve the efficiency of PCD.

Study on Three-Level Matching Model of Product Configuration Oriented to Mass Customization

2009 ◽  
Vol 407-408 ◽  
pp. 257-263
Author(s):  
Jiang Hua Ge ◽  
Yong Lin Xu ◽  
Yong Tao Huang ◽  
Guo An Gao
Keyword(s):  
Mathematical Model ◽  
Mass Customization ◽  
Product Structure ◽  
Product Configuration ◽  
Retrieval Algorithm ◽  
Configuration Design ◽  
Similarity Matching ◽  
Matching Model ◽  
Correlation Matching ◽  
Complete Matching

This paper proposed configuration three-level matching model based on modular product structure in order to solve the product configuration design problem in mass customization (MC). According to the product structure and the features of configuration design, the model divided the configuration course into three parts as first-level complete matching, second-level similarity matching and third-level correlation matching. Firstly obtained standard module that meets clients’ demands by retrieval algorithm of first-level complete matching and similar module of the customized by mathematical model of second-level similarity matching. Then based on them, analyzed the correlation matrix among modules and associated attributes of modules interface, and established the mathematical model of third-level correlation matching and realized the optimum combination of modules. Finally, verified the model by examples. The results indicate that this model could effectively solve the low-efficiency problem of deformation module recombination design in traditional product configuration so to rapidly respond to clients’ customization demands.

Green Design Methods Based on Product Configuration

2014 ◽  
Vol 543-547 ◽  
pp. 320-322
Author(s):  
Zhi Yong Dai ◽  
Ming Hai Yuan ◽  
Shuo Cheng ◽  
Ai Min Ji
Keyword(s):  
Mass Customization ◽  
Design Method ◽  
Strong Support ◽  
Green Manufacturing ◽  
New Product ◽  
Design Methods ◽  
Green Design ◽  
Product Configuration ◽  
Configuration Design ◽  
Green Product

According to the overseas and domestic researches on green design and mass customization, this paper does research on green product configuration design method based on the three configuration algorithms, and proposes a new product configuration method aiming at realizing the goal of green design under mass customization (MC). By studying on green design method based on product configuration, strong support is provided for enterprises with green manufacturing both in theory and method.

A configuration design based method for platform commonization for product families

2004 ◽  
Vol 18 (1) ◽  
pp. 21-39 ◽  
Author(s):  
BRIAN CORBETT ◽  
DAVID W. ROSEN
Keyword(s):  
Design Space ◽  
Product Family ◽  
Combinatorial Design ◽  
Product Configuration ◽  
Configuration Design ◽  
Design Problems ◽  
Product Families ◽  
Assembly Design ◽  
Assembly Sequences ◽  
Design Requirements

Product families help companies reach customers in several different markets, lessen the time needed to develop new products, and reduce costs by sharing common components among many products. The product platform can be considered as a set of technologies, components, or functions, and their arrangements, that are utilized for more than one product. Configuration design focuses on the components in a product and their connections and relationships. Discrete, combinatorial design spaces are used to model design requirements regarding physical connections, module partitions, and assembly sequences for the product family. To ensure that products satisfy all design requirements, it is necessary to combine these design spaces into a common configuration space into which all requirements can be mapped. This paper presents computational methods for modeling and combining design spaces so those configurations can be identified that satisfy all constraints. A new representation of assembly sequences facilitates the development of an assembly design space, elements of which can be enumerated readily. Because the size of the combinatorial design spaces can become quite large, computational efficiency is an important consideration. A new designer guided method, called the partitioning method, is presented for decomposing configuration design problems in a hierarchical manner that enables significant reductions in design space sizes. An example of a family of automotive underbodies illustrates the application of the discrete design space approach to develop a common platform.

Research on Structure Rationalization Method of Product Family and its Application

2010 ◽  
Vol 97-101 ◽  
pp. 3443-3446 ◽  
Author(s):  
Fu Yun Liu ◽  
Su Jing Song ◽  
Bing Kuang
Keyword(s):  
Steam Turbine ◽  
Complex Network ◽  
Mass Customization ◽  
Network Theory ◽  
Product Family ◽  
Product Configuration ◽  
Key Factors ◽  
Complex Network Theory

In product configuration of mass customization, the structure of product family is one of the key factors which affecting the efficiency of configuration. Applying complex network theory and algorithm to mass customization field, a structure network of product family is constructed. The evolving rule of used number of class module variation with the number of product is obtained. The instantiation module number contained by a class module variation with the number of product is obtained. The evolving rule of used number of instantiation module variation with the number of product is obtained. A structural rationalization method of product family is presented. As an example, all methods are applied to a steam turbine product family, and the methods are verified.

The Configuration Recommendation Strategy Based on Similarity in Product Configuration for Manufacturing

2014 ◽  
Author(s):  
Niya Li ◽  
Yucheng Liu ◽  
Jian Zhang
Keyword(s):  
Mass Customization ◽  
Product Family ◽  
Optimal Configuration ◽  
Product Configuration ◽  
User Requirements ◽  
Short Period ◽  
Original Production ◽  
Recommendation Strategy ◽  
Degree Of Similarity ◽  
Production Resources

Product configuration technology is an important method for implementing Mass Customization paradigm. It used to configure personalized products within a short period of time by maximal utilization of original production resources. In the configuration process for meeting user requirements, it is very possible to get several configuration results from a product family. So, how to select the optimal configuration result is an inevitable issue for manufacture. In the light of the problem, this study provides a recommendation strategy so as to improve the productivity and the resource utilization of manufactory. The strategy is represented by Algorithm Recommend. It is given to select the optimal result by analyzing and comparing the degree of similarity between the configuration results and the historical data in manufacture. The degree of similarity integrates the configuration logic and the tree structure characteristics by using the weighted method. The final example is a symbolic application which proves that this recommendation strategy can help efficiently to find the optimal configuration result for manufacture.

A Market-Based Design Strategy for a Universal Product Family

2012 ◽  
Vol 134 (11) ◽  
Author(s):  
Seung Ki Moon ◽  
Daniel A. McAdams
Keyword(s):  
Mass Customization ◽  
Universal Design ◽  
Product Family ◽  
Cost Effective ◽  
Differentiated Products ◽  
Product Family Design ◽  
Design Strategies ◽  
Market Segments ◽  
Light Duty

Companies that generate a variety of products and services are creating, and increasing research on, mass-customized products in order to satisfy customers’ specific needs. Currently, the majority of effort is focused on consumers who are without disabilities. The research presented here is motivated by the need to provide a basis of product design methods for users with some disability—often called universal design (UD). Product family design is a way to achieve cost-effective mass customization by allowing highly differentiated products serving distinct market segments to be developed from a common platform. By extending concepts from product family design and mass customization to universal design, we propose a method for developing and evaluating a universal product family within uncertain market environments. We will model design strategies for a universal product family as a market economy where product family platform configurations are generated through market segments based on a product platform and customers’ preferences. A coalitional game is employed to evaluate which design strategies provide more benefit when included in the platform based on the marginal profit contribution of each strategy. To demonstrate an implementation of the proposed method, we use a case study involving a family of light-duty trucks.

Sign in / Sign up

Export Citation Format

Share Document