scholarly journals Configuration Equilibrium Model of Product Variant Design Driven by Customer Requirements

Symmetry ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 508 ◽  
Author(s):  
Qin Yang ◽  
Xianjun Bian ◽  
Rainer Stark ◽  
Carina Fresemann ◽  
Fei Song
Keyword(s):  
Nash Equilibrium ◽  
Customer Satisfaction ◽  
Simulated Annealing Algorithm ◽  
Dynamic Change ◽  
Payoff Function ◽  
Product Configuration ◽  
Configuration Model ◽  
Customer Requirements ◽  
Variant Design ◽  
Product Variant

In view of the dynamic change of customer requirements (CRs) during the process of product use, in this paper we propose a Bayesian Nash equilibrium configuration model for product variant design driven by CRs. By analyzing CRs, the complete variant requirements of the products can be obtained. Combined with modularization and parameterization variant design methods, a parametric variant instance is proposed. Since cost and delivery time are affected by the product variant design, firms and customers are established as two decision-making bodies, and Bayesian Nash theory is introduced to the product configuration. The theory takes the product cost and customer satisfaction as the payoff function of the game, and based on the threshold value search of the customer satisfaction it determines the strategy set of the two parties. The Nash equilibrium solution equation is established and solved by a simulated annealing algorithm. The optimal product configuration scheme satisfying the interests of both sides of the game is obtained. Finally, the automatic guided vehicle (AGV) is taken as an example to illustrate the effectiveness and practicability of the method.

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.

scholarly journals Product Module Attribute Parameter Configuration Model considering Customer Requirements Preferences

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yang Qin ◽  
Ye Zhaofa ◽  
Li Xuzheng ◽  
Zhang Zufang ◽  
Chang Weijie ◽  
...  
Keyword(s):  
Quality Function Deployment ◽  
Programming Model ◽  
Weight Vector ◽  
Product Configuration ◽  
Configuration Model ◽  
Preference Weight ◽  
Customer Requirements ◽  
Parameter Configuration ◽  
Preference Graph ◽  
Configuration Scheme

In the process of modular product configuration, it is necessary to transform customer requirements into product module attributes (PMA) parameters. However, previous research lacks consideration about customer requirement preference in the process of this transformation. First, we use a preference graph (PG) to obtain the customer preference weight vector for the requirement node. Second, on the basis of traditional Quality Function Deployment (QFD), the method of fuzzy correlation evaluation is introduced to get the correlation value between module attributes, and the combination programming model of PMA is further obtained by synthesizing the preference weight vector. Finally, the final configuration scheme is obtained by solving the model with the genetic algorithm. By integrating the weights of the above-mentioned nodes, the similarity of the product case is obtained, and a more satisfied case of the customer is obtained. Taking the automated guided vehicle car product as an example, the effectiveness and practicability of the proposed method are verified.

A Product Configuration Approach for Maximum Customer Satisfaction

2011 ◽  
Vol 268-270 ◽  
pp. 2091-2096
Author(s):  
Chang Ming Lu ◽  
Shu Zheng ◽  
Wei Jin ◽  
Bin Hu ◽  
Yan Fa Sheng
Keyword(s):  
Customer Satisfaction ◽  
Product Design ◽  
Present Situation ◽  
Design Approach ◽  
Product Configuration ◽  
Customer Requirements ◽  
Agricultural Machinery ◽  
Typical Application

Given the customer requirements for personalized product increased, the contradiction between actual products and customer satisfaction was existed. Analyzing the present situation of design templates, the product configuration approach based on design templates was proposed. The importance of template objects was sorted in descending to enhance the customer satisfaction for configuring product. A typical application of a small agricultural machinery product design was given to demonstrate the feasibility and effectiveness of the design approach.

The Study of Product Configuration Information Model and Repository

2014 ◽  
Vol 681 ◽  
pp. 279-283
Author(s):  
Hua Long Xie ◽  
Ming Bin Shen
Keyword(s):  
Knowledge Representation ◽  
Product Design ◽  
Design Model ◽  
Product Configuration ◽  
Configuration Model ◽  
Design Knowledge ◽  
Configuration Design ◽  
Customer Requirements ◽  
Different Types ◽  
Configuration Information

Product configuration design model is established on the basis of the base type product of standardization, seriation. According to the needs of customers, This paper arranges the physical and functional structure of the product, and sets up configuration model of the whole model. Through the analysis and configuration design, provides the final product to meet customer requirements. In this article, introduces the mix of configuration design knowledge representation methods, so as to adapt to the requirements of different types of product design.

Integrated Quantitative Analysis of Customer Satisfaction Based on Kano's Model

2012 ◽  
Vol 224 ◽  
pp. 358-361
Author(s):  
Zhi Jun Fan ◽  
Zhao Liang Jiang
Keyword(s):  
Quantitative Analysis ◽  
Customer Satisfaction ◽  
Product Configuration ◽  
Customer Requirements ◽  
Kano’S Model ◽  
Group Satisfaction

The satisfaction of customer requirements (CRs) is the objective of product configuration. A methodology Based on the Kano's model was proposed to explore customers' stated needs and unstated desires and to resolve them into different categories which have different impacts on customer satisfactions (CSs). The customer satisfactions are classified into group satisfaction and individual satisfaction, and each of them has three types with Kano theory. Group requirements items were selected frequently by the same kind of customers. Individual requirements were specified by the customer himself. Based on a combination of group satisfactions and individual satisfactions, the integrated satisfaction was determined. A case study is provided to illustrate the effectiveness of the presented method.

A Product Family Genealogy Based Configuration Model

2010 ◽  
Vol 450 ◽  
pp. 91-94
Author(s):  
Wen Lei Zhang ◽  
Jia Peng Yu ◽  
Hong Yu
Keyword(s):  
Product Family ◽  
Product Configuration ◽  
Configuration Model ◽  
Product Platform ◽  
Customer Requirements ◽  
Manufacturing Environment ◽  
Key Technology ◽  
Customer Group ◽  
Product Variation ◽  
Basic Configuration

Product variation and customization is a trend in current market-oriented manufacturing environment. Product configuration is the key technology in this customization environment. But complex customer requirements are still hard to resolve. So the purpose of this study is to offering a new intelligent configuration algorithm to this problem, which is based on Product Family Genealogy Model (PFG). Characteristics of customer group, modules and product platform are discussed to build a PFG model - a hierarchy of reasonable configuration models. Based on it, both the customer requirements and constraints are classified and treated respectively. So the product configuration task can be easily accomplished by four sequenced stages i.e. “PFG position”, “key configuration”, “basic configuration”, and “form configuration”. Finally, an example of desktop configuration is presented to demonstrate this approach.

Customer satisfaction in purchasing mobile phones: An explorative study

Think India ◽  
2019 ◽  
Vol 22 (3) ◽  
pp. 1751-1757
Author(s):  
Rohith Raja M ◽  
Ida David
Keyword(s):  
Customer Satisfaction ◽  
Mobile Phones ◽  
Current Trend ◽  
Essential Element ◽  
Manufacturing Companies ◽  
Customer Requirements ◽  
Business World ◽  
Large Market ◽  
Explorative Study

Customers hold the key role in determining the market of any material. The demand and requirements of the customers are taken into account while the manufacturers produce any product. Mobile phones, being an essential element in today’s world, occupy a large market in today’s business world. Customer satisfaction is the prime motive of the manufacturing companies. Based on a survey conducted, we study the current trend of phone purchase in India and thus analyze the customer’s responses towards different brands and their products. The results depict which brands satisfy the customer requirements.

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.

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