Data-Mining Driven Reconfigurable Product Family Design Framework for Aerodynamic Particle Separators

2008 ◽  
Author(s):  
Conrad Tucker ◽  
Harrison Kim ◽  
Doug Barker ◽  
Yuanhui Zhang
Keyword(s):  
Data Mining ◽  
Product Family ◽  
Design Framework ◽  
Product Family Design ◽  
Reconfigurable Product

A Process Model and Data Mining to Support Designing Families of Services

2007 ◽  
Author(s):  
Seung Ki Moon ◽  
Timothy W. Simpson ◽  
Soundar R. T. Kumara
Keyword(s):  
Data Mining ◽  
Process Model ◽  
Process Analysis ◽  
Product Family ◽  
Cost Effective ◽  
Service Development ◽  
Product Family Design ◽  
New Service Development ◽  
Recent Trends

Product family design is a cost-effective way to achieve mass customization by allowing highly differentiated products to be developed from a common platform while targeting individual products to distinct market segments. Recent trends seek to apply and extend principles from product family design to new service development. In this paper, we extend concepts from platform-based product family design to create a novel methodology for module-based service family design. The new methodology helps identify a service platform along with variant and unique modules in a service family by integrating service-based process analysis, ontologies, and data mining. A function-process matrix and a service process model are investigated to define the relationships between the service functions and the service processes offered as part of a service. An ontology is used to represent the relationships between functional hierarchies in a service. Fuzzy clustering is employed to partition service processes into subsets for identifying modules in a given service family. The clustering result identifies the platform and its modules using a platform level membership function. We apply the proposed methodology to determine a new platform using a case study involving a family of banking services.

A Data Mining Approach to Forming Generic Bills of Materials in Support of Variant Design Activities

2004 ◽  
Vol 4 (4) ◽  
pp. 316-328 ◽  
Author(s):  
Carol J. Romanowski , ◽  
Rakesh Nagi
Keyword(s):  
Data Mining ◽  
Product Family ◽  
Research Direction ◽  
Design Constraints ◽  
Variant Design ◽  
Data Mining Approach ◽  
Design Activities ◽  
Using Data ◽  
New Research

In variant design, the proliferation of bills of materials makes it difficult for designers to find previous designs that would aid in completing a new design task. This research presents a novel, data mining approach to forming generic bills of materials (GBOMs), entities that represent the different variants in a product family and facilitate the search for similar designs and configuration of new variants. The technical difficulties include: (i) developing families or categories for products, assemblies, and component parts; (ii) generalizing purchased parts and quantifying their similarity; (iii) performing tree union; and (iv) establishing design constraints. These challenges are met through data mining methods such as text and tree mining, a new tree union procedure, and embodying the GBOM and design constraints in constrained XML. The paper concludes with a case study, using data from a manufacturer of nurse call devices, and identifies a new research direction for data mining motivated by the domains of engineering design and information.

A Market-Based Design Strategy for a Universal Product Family

2012 ◽  
Vol 134 (11) ◽  
Author(s):  
Seung Ki Moon ◽  
Daniel A. McAdams
Keyword(s):  
Mass Customization ◽  
Universal Design ◽  
Product Family ◽  
Cost Effective ◽  
Differentiated Products ◽  
Product Family Design ◽  
Design Strategies ◽  
Market Segments ◽  
Light Duty

Companies that generate a variety of products and services are creating, and increasing research on, mass-customized products in order to satisfy customers’ specific needs. Currently, the majority of effort is focused on consumers who are without disabilities. The research presented here is motivated by the need to provide a basis of product design methods for users with some disability—often called universal design (UD). Product family design is a way to achieve cost-effective mass customization by allowing highly differentiated products serving distinct market segments to be developed from a common platform. By extending concepts from product family design and mass customization to universal design, we propose a method for developing and evaluating a universal product family within uncertain market environments. We will model design strategies for a universal product family as a market economy where product family platform configurations are generated through market segments based on a product platform and customers’ preferences. A coalitional game is employed to evaluate which design strategies provide more benefit when included in the platform based on the marginal profit contribution of each strategy. To demonstrate an implementation of the proposed method, we use a case study involving a family of light-duty trucks.

A decision support system for product family design

2014 ◽  
Vol 281 ◽  
pp. 113-127 ◽  
Author(s):  
Elim Liu ◽  
Shih-Wen Hsiao ◽  
Shih-Wei Hsiao
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Product Family ◽  
Product Family Design

Sensitivity and Correlation Analysis and Implications in Scalable Product Family Design for Plug-In Hybrid Electric Vehicles

2015 ◽  
Author(s):  
Zhila Pirmoradi ◽  
G. Gary Wang
Keyword(s):  
Correlation Analysis ◽  
Electric Vehicles ◽  
Hybrid Electric Vehicles ◽  
Electric Energy ◽  
Product Family ◽  
Green Energy ◽  
Product Family Design ◽  
Hybrid Electric ◽  
Market Needs ◽  
And Control

Plug-in Hybrid Electric Vehicles (PHEVs) bear great promises for increasing fuel economy and decreasing greenhouse gas emissions by the use of advanced battery technologies and green energy resources. The design of a PHEV highly depends on several factors such as the selected powertrain configuration, control strategy, sizes of drivetrain components, expected range for propulsion purely by electric energy, known as AER, and the assumed driving conditions. Accordingly, design of PHEV powertrains for diverse customer segments requires thorough consideration of the market needs and the specific performance expectations of each segment. From the manufacturing perspective, these parameters provide the opportunity of mass customization because of the high degree of freedom, especially when the component sizes and control parameters are simultaneously assessed. Based on a nonconventional sensitivity and correlation analysis performed on a simulation model for power-split PHEVs in this study, the product family design (PFD) concept and its implications will be investigated, and limitations of PFD for such a complex product along with directions for efficient family design of PHEVs will be discussed.

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