A green product family design method considering the effect of production volume

Author(s):  
Suiran Yu ◽  
Qingyan Yang ◽  
Yunwei Lu
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):  
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.


2021 ◽  
Vol 1 ◽  
pp. 1557-1566
Author(s):  
David Rosen ◽  
Young Mi Choi

AbstractAlthough product family design methods are well established, little research has focused on Product-Service-System (PSS) family design. A PSS family design method is proposed in this paper that parallels methodology for designing product families. Separate platforms are proposed for products and for services. However, couplings between product and service platforms are identified and incorporated into the design method. Design problem formulations are proposed for PSS family platforms and for the PSS family itself, using a module-based approach, in contrast to a platform scaling approach. Alternative methods are investigated and compared for solving these problems. The application domain of Assistive Mobility (AM) is identified as a promising PSS family in this work. If smart technologies are integrated into AM devices, such as manual wheelchairs, powered wheelchairs, walkers, and rollators, then patient diagnosis and treatment, as well as device maintenance, services are enabled with these smart technologies, demonstrating that smart AM devices are a promising PSS family.


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

Product family design facilitates mass customization by allowing highly differentiated products to be developed around a platform while targeting products to distinct market segments. Therefore, effective platforming of products is a cost-effective way to achieve mass customization The objective in this research is to develop a Strategic Module-based Platform Design Method (SMPDM) to determine a platform design strategy to support product family design in a dynamic and uncertain environment. Ontologies are used to represent products and enable sharing and reuse of design information. Data mining techniques are used to identify a platform and modules by utilizing design information stored in a large database or repository. To determine a platform for family design in dynamic and uncertain market environments, the SMPDM uses agent-based decision-making, involving a market-based negotiation mechanism and a game theoretic approach based on module-based platform concepts and a mathematical model. To demonstrate and validate the usefulness of the proposed method, it is applied to a family of power tools and tested in multiple scenario-based experiments. The SMPDM provides an optimal platform design strategy that can be adapted to various dynamic and uncertain market environments. Therefore, the SMPDM can help develop design strategies to manage and create a cost-effective variety of products based on a platform in support of mass customization.


Author(s):  
Xiaoli Ye ◽  
John K. Gershenson ◽  
Kiran Khadke ◽  
Xiaoxia Lai ◽  
Fang Guo

With increasingly aggressive competition for market share, manufacturing companies are facing the challenge of providing nearly customized products at bulk prices. To achieve this, product families — a group of related products derived from a single product platform — have been used to provide strategic variety to satisfy customer requirements and simultaneously achieve economies of scale. Many methods for product family design have been developed. However, we still lack the ability to evaluate a product family based on quantitative tradeoffs between product family commonality and product family variety. In this paper, we introduce the Product Family Evaluation Graph (PFEG), which can assist product family designers choosing the “best” product family design among a set of product family design options. This method is complete in its formulation, but lacking in tools for implementation. It is our purpose to show the usefulness of such a method and discuss its foundation. We show how the tool can be used to compare candidate product family designs and used in the robust design of a single product family. In addition, we highlight the strategic factors and measures that are the basis for evaluating any product family. We offer ten example strategic factors — customization, market life, technological innovation, family size, complexity, development time, service and maintenance, environmental impacts, manufacturing cost, and production volume — that determine the ideal tradeoff strategy between commonality and variety. We also highlight the need for more research into the validity of these factors, the specific relationships between these factors, and a tradeoff strategy. The measures of commonality are shown to be well established. However, we show that there is still a glaring need for the quantitative evaluation of product family variety. In summary, this paper is intended as a starting place, an opening set of questions, and as a framework for the general solution to the problem of a quantitative evaluation of product family design.


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