A Design Method of Product Family for Unpredictable Customer Requirements Using Fuzzy Sets

Author(s):  
Kazuhiro Aoyama ◽  
Nobuyuki Matsuda ◽  
Tsuyoshi Koga
2010 ◽  
Vol 29-32 ◽  
pp. 1235-1240 ◽  
Author(s):  
Jiang Hua Ge ◽  
Jian Yuan Xu ◽  
Ya Ping Wang ◽  
Fen Wei

To accurately understand the current customer requirements, mine and predict those of potential market, requirement expansion method based on TRIZ was proposed to realize horizontal expansion of customer requirements and grey theory was applied to vertical expansion to maximize the diversity of customer requirement. Meanwhile, ontology model of customer requirements was built to represent in detail complete information of customer requirement, it provided the basis for determining product family reasonably and comprehensively.


2013 ◽  
Vol 475-476 ◽  
pp. 1402-1405
Author(s):  
Xian Fu Cheng ◽  
Qi Hang Zhu

A new design method for product family was presented based on adaptable product platform. Firstly, customer demands were analyzed for bridge crane. Secondly, axiomatic design was utilized as framework to zigzaging mapping between functional requirements and design parameters, and design matrix was established. Then the sensitivity analysis among design parameters and between design parameters and functional requirements was done. The design relation matrix was established and relation degree among design parameters was calculated. Based on above analysis, the platform parameters were identified.


Author(s):  
Timothy W. Simpson ◽  
Jonathan R. A. Maier ◽  
Farrokh Mistree

Abstract Today’s highly competitive, global marketplace is redefining the way companies do business. Many companies are being faced with the challenge of providing as much variety as possible for the market with as little variety as possible between products in order to maintain economies of scale while satisfying a wide range of customer requirements. Developing a family of products — a group of related products derived from a common product platform — provides an efficient and effective means to realize sufficient product variety to satisfy a range of customer demands. In this paper the Product Platform Concept Exploration Method (PPCEM) is presented, providing a Method that facilitates the synthesis and Exploration of a common Product Platform Concept that can be scaled into an appropriate family of products. As an example, the PPCEM is employed to design a family of universal electric motors that are also compared against a benchmark group of individually designed motors. The focus in this paper, however, is on the PPCEM and not on the results, per se.


Author(s):  
Mitchell M. Tseng ◽  
Jianxin Jiao

Abstract Mass customization is becoming an important agenda in industry and academia alike. This paper deals with mass customization from a product development perspective. A framework of design for mass customization (DFMC) by developing product family architecture (PFA) is presented. To deal with tradeoffs between diversity of customer requirements and reusability of design and process capabilities, DFMC advocates shifting product development from designing individual products to designing product families. As the core of DFMC, the concept of PFA is developed to assist different functional departments within a manufacturing enterprise to work together cohesively. A PFA describes variety and product families and performs as a generic product platform for product differentiation in which individual customer requirements can be satisfied through systematic decisions of developing product variants. Based on such a PFA, the DFMC framework provides a unifying integration platform for synchronizing market positioning, soliciting customer requirements, increasing reusability, and enhancing manufacturing scale of economy across the entire product realization 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.


2018 ◽  
Vol 23 (20) ◽  
pp. 10509-10520 ◽  
Author(s):  
Wei Wei ◽  
Zhenyu Tian ◽  
Chong Peng ◽  
Ang Liu ◽  
Zhinan Zhang

2008 ◽  
Vol 44-46 ◽  
pp. 607-617
Author(s):  
G. Hong ◽  
P. Dean ◽  
W. Yang ◽  
Y.L. Tu ◽  
D. Xue

One-of-a-kind production (OKP) is a new manufacturing paradigm to produce customized products based on requirements of individual customers while maintaining the quality and efficiency of mass production. In this research, a computer-aided optimal product design and process planning approach is developed to support OKP product design and manufacture to satisfy individual customer requirements with near to mass production efficiency. In this work, a hybrid AND-OR graph is developed to model the variations of design configurations/parameters and manufacturing processes/parameters in generic product family. Since different design configurations and parameters can be created from the same customer requirements, and each design can be further achieved through alternative manufacturing processes and parameters, co-evolutionary genetic programming and numerical optimization are employed to identify the optimal product design configuration/parameters and manufacturing process/parameters. A case study to identify the optimal design configuration/parameters and manufacturing process/parameters of custom window products in an industrial company is introduced to demonstrate the effectiveness of the developed method.


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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