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.

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.

Green Design Methods for Mass Customization

2014 ◽  
Vol 488-489 ◽  
pp. 1387-1390
Author(s):  
Zhi Yong Dai ◽  
Ming Hai Yuan ◽  
Shuo Cheng ◽  
Ai Min Ji
Keyword(s):  
Product Development ◽  
Mass Customization ◽  
Design Method ◽  
Rapid Development ◽  
Strong Support ◽  
Green Design ◽  
Product Configuration ◽  
Product Cycle ◽  
Lot Size ◽  
Development Cycle

With the wide application of MC (mass customization) in manufacturing which can deal with the customer diversification and their individual requirements, the traditional green design method could not meet the demand of product development any more. This paper summarized native and external achievements related to green design and MC, and proposed two correlation methods of product green design: product green design based on product configuration and variant design of product configuration, according to the research of green design method and theory for MC. The two methods provide strong support to enterprises both in theory and method to make green design efficiently. Whats more, it can help develop quick respond ability of enterprises, shorten the development cycle and product cycle, and realize rapid development and lot-size product.

scholarly journals Modeling an Innovative Green Design Method for Sustainable Products

2020 ◽  
Vol 12 (8) ◽  
pp. 3351 ◽  
Author(s):  
Yao-Tsung Ko
Keyword(s):  
Product Design ◽  
Design Method ◽  
Value Added ◽  
Green Manufacturing ◽  
Green Technology ◽  
Green Design ◽  
Green Product ◽  
Environment Impact ◽  
Sustainable Products ◽  
Green Product Design

Global warming and climate change are currently the world’s most pressing issues. The causes are the results of people pursuing a better quality of life and a material civilization. Thus, if the concept of green design can be applied when designing and manufacturing products, it will greatly reduce the environment impact of such production. This paper addresses a novel green design method based on the extension theory and concept of Green DNAs, which embraces the concepts of green technology, green material, and green manufacturing. The proposed method can provide designers with a decomposing–recomposing approach with rigorous logic and deduction processes for transforming general products into green products. It can also facilitate the use of green modular approaches in product design and improve product disassembly to raise the value added by product recycling. It offers companies concrete guidance and detailed steps to apply in green product design. Finally, a practical green product design of a medical air purifier is demonstrated to validate the feasibility and effectiveness of the proposed method.

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.

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.

A Method of the Green Product Configuration Design Based on Multi-Layer Generalized Operator and Genetic Algorithm

2013 ◽  
Vol 483 ◽  
pp. 542-549 ◽  
Author(s):  
Dian Ting Liu ◽  
Fei Fei Jia
Keyword(s):  
Genetic Algorithm ◽  
Design Method ◽  
Product Configuration ◽  
Configuration Design ◽  
Fuzzy Operator ◽  
Modular Products ◽  
Product Function ◽  
Generalized Operator ◽  
Optimal Design Method ◽  
Crossover And Mutation

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.

A Fuzzy Product Configuration Design Method Based on Decision Table

2011 ◽  
Vol 338 ◽  
pp. 319-324
Author(s):  
Tie Qiang Ma ◽  
Cheng Yin Xu
Keyword(s):  
Structure Function ◽  
Wind Turbine ◽  
Design Method ◽  
Fuzzy Theory ◽  
Transmission System ◽  
Decision Table ◽  
Product Configuration ◽  
Configuration Model ◽  
Configuration Design ◽  
Product Configuration Model

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.

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.

A Method of Optimal Module Partition in Green Product Configuration Design under Uncertainty

2013 ◽  
Vol 483 ◽  
pp. 438-445
Author(s):  
Dian Ting Liu ◽  
Hao Ping Hu
Keyword(s):  
Mathematic Model ◽  
Product Configuration ◽  
Configuration Design ◽  
Green Product ◽  
Design Under Uncertainty ◽  
Mutation Operator ◽  
Fuzzy Operator ◽  
Set Up ◽  
Crossover And Mutation ◽  
Module Partition

The principle and main steps of module partition in green product configuration design under uncertainty, and how to determine the correlation between the basic elements of a product, and how to calculate the green degree of module are discussed in this paper. Let the maximum degree of cluster inner a module and the minimum coupling degree among modules and the maximum green degree of modules as the objective function, the mathematic model of uncertainly optimizing for green module partition is set up. And then It is transformed to an ascertainable combinatorial optimization model by de-fuzzy operator, and it is solved by GA (Genetic Algorithm,). The methods of chromosome encoding and the methods of selection and crossover and mutation operator are presented in this paper. A computational example is studied; its result verifies the effectiveness and practical value of the method proposed in this paper.

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