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

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.

Author(s):  
Shuyou Zhang ◽  
Harry H. Cheng

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.


2012 ◽  
Vol 532-533 ◽  
pp. 1196-1200
Author(s):  
Jun Hua Che ◽  
Bin Ma ◽  
Qian Zeng

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.


2014 ◽  
Vol 543-547 ◽  
pp. 320-322
Author(s):  
Zhi Yong Dai ◽  
Ming Hai Yuan ◽  
Shuo Cheng ◽  
Ai Min Ji

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.


2013 ◽  
Vol 483 ◽  
pp. 542-549 ◽  
Author(s):  
Dian Ting Liu ◽  
Fei Fei Jia

Taking the configuration design of the lifting device in a bridge crane as an example, this paper discusses the green optimal design method of enterprise's modular products with uncertain factors. The multi-layer generalized operators and comprehensive mathematical model under uncertainty are established based on the mapping relationship between product function and its structure. The model is transformed to an ascertaining combinatorial optimization model by de-fuzzy operator, and then it is solved by GA (Genetic Algorithm, GA). The method of chromosome encoding in binary that the chromosome is segmented by components and the genes in each segment are ranged as corresponding structures of each component, and the methods of selection and crossover and mutation operator are presented in this paper. The result of the green configuration design on the lifting device verifies the effectiveness and practical value of the method proposed in this paper.


2011 ◽  
Vol 338 ◽  
pp. 319-324
Author(s):  
Tie Qiang Ma ◽  
Cheng Yin Xu

To solve the problem on the indeterminacy of customers’ demands, a new fuzzy configuration design based on decision table is presented. Generalized product configuration model is proposed and taken as the basic of configuration design. Generalized product configuration model is composed of generalized product structure BOM,structure-function units and configuration rules. Configuration rule is expressed with decision table, and it constrains the process of the configuration design. Fuzzy theory is applied in configuration design. Configuration engine accesses decision table and carries out the configuration reasoning with fuzzy theory in configuration design. Finally, the application on the transmission system of wind turbine verifies the feasibility and validity of this method.


2009 ◽  
Vol 69-70 ◽  
pp. 535-539
Author(s):  
Cong Da Lu ◽  
X.H. Chen ◽  
Shao Fei Jiang ◽  
Guo Zhong Chai

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.


2009 ◽  
Vol 407-408 ◽  
pp. 257-263
Author(s):  
Jiang Hua Ge ◽  
Yong Lin Xu ◽  
Yong Tao Huang ◽  
Guo An Gao

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.


2021 ◽  
Author(s):  
Jinju Kim ◽  
Seyoung Park ◽  
Harrison M. Kim

Abstract Since remanufacturing requires additional processes compared to the production process of new products, various factors need to be considered. First, it is necessary to decide which end-of-life (EoL) product parts/modules to use among the EoL products available for the remanufactured product. At this stage, it is crucial to understand the future customer demand and requirements for each part. Next, it is also necessary to figure out whether selective disassembly is possible to disassemble a specific target component without completely disassembling the product. With the increasing number of product designs that are difficult to disassemble, the disassembly sequence and level should be considered for the efficiency of the overall remanufacturing process. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on current EoL products, and (ii) establish a harvest plan that determines the optimal operations and levels. This proposed model can be used as a tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.


Author(s):  
Seung Ki Moon ◽  
Jun Shu ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara

Products are often paired with additional services to satisfy customers’ needs, differentiate product offerings, and remain competitive in today’s market. This research is motivated by the need to provide guidelines and methods to support the design of such services, addressing the lack of knowledge on customized service design as well as methods for designing and evaluating services for mass customization. We extend concepts from module-based product family design to create a method for designing families of services. In particular, we introduce a strategic platform design method for developing customized families of services using game theory to model situations involving dynamic market environments. A module-based service model is proposed to facilitate customized service design and represent the relationships between functions and processes that constitute a service offering. A module selection problem for platform design is considered as a strategic module sharing problem under collaboration, and we use a coalitional game to model module sharing and decide which modules provide more benefit when in the platform based on marginal contribution of each module. To demonstrate implementation of the proposed method, we use a case study involving a family of banking services.


Author(s):  
Seung Ki Moon ◽  
Daniel A. McAdams

Innovative companies that generate a variety of products and services for satisfying customers’ specific needs are invoking and increasing research on mass-customized products, but the majority of their efforts are still focused on general consumers who are without disabilities. This research is motivated by the need to provide a basis of universal design guidelines and methods, primarily because of a lack of knowledge on disabilities in product design as well as methods for designing and evaluating products for everyone. Product family design is a way to achieve cost-effective mass customization by allowing highly differentiated products to be developed from a common platform while targeting products to distinct market segments. By extending concepts from product family design and mass customization to universal design, we propose a method for developing a universal product family to generate economical feasible design concepts and evaluating design feasibility with respect to disabilities within dynamic market environments. We will model design strategies for a universal product family as a market economy where functional module configurations are generated through market segments based on a product platform. A coalitional game is employed to model module sharing situations regarding dynamic market environments and decides which functional modules provide more benefit when in the platform based on the marginal contribution of each module. To demonstrate implementation of the proposed method, we use a case study involving a family of mobile phones.


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