Product Family Design Through Ontology-Based Faceted Component Analysis, Selection, and Optimization

2013 ◽  
Vol 135 (8) ◽  
Author(s):  
Ying Liu ◽  
Soon Chong Johnson Lim ◽  
Wing Bun Lee
Keyword(s):  
Information Search ◽  
Product Family ◽  
Component Analysis ◽  
Product Family Design ◽  
Product Analysis ◽  
Laptop Computer ◽  
Multi Objective ◽  
Design Structure ◽  
Product Service ◽  
Design Requirements

Product family design (PFD) is a widely adopted strategy for product realization, especially when design requirements are diversified and multi-faceted. Due to ever-changing customer needs and the increasingly complex and integrated product design structure, PFD and its optimization have been concerned more about a rapid and contextual product analysis and variant derivation based on a multi-objective optimization scheme subject to design concerns, which are often cross disciplinary, such as product service, carbon footprint, user experience, esthetics, etc. Existing PFD modeling approaches, which are primarily structured using component attributes and assembly relationships, possess notable limitations in representing complex component and design relationships. Hence, it has restricted comprehensive PFD analysis in an agile and contextual manner. Previously, we have studied and demonstrated the feasibility of using ontology for product family modeling and have suggested a framework of faceted information search and retrieval for product family design. In this paper, several new perspectives towards PFD based on ontology modeling are presented. Firstly, new metrics of ontology-based commonality that better reveal conceptual similarity under various design perspectives are formed. Secondly, faceted concept ranking is proposed as a new ranking approach for ontology-based component search under complex and heterogeneous design requirements. Thirdly, using these ranked results, a platform selection approach that considers a maximum aggregated ranking with a minimal platform modification among various platform choices is researched. From the selected platform and the newly proposed metrics, a modified multi-objective evolutionary algorithm with an embedded feature of configuration incompatibility check is studied and deployed for the optimal selection of components. A case study of PFD using four laptop computer families is reported as our first attempt to showcase how faceted component analysis, selection, and optimization can be accomplished based on the proposed family ontology.

Product Analysis and Variants Derivation Based on a Semantically Annotated Product Family Ontology

2009 ◽  
Author(s):  
Soon Chong Johnson Lim ◽  
Ying Liu ◽  
Wing Bun Lee
Keyword(s):  
Semantic Annotation ◽  
Product Family ◽  
Relevant Information ◽  
Product Analysis ◽  
Laptop Computer ◽  
Family Analysis ◽  
Design And Manufacturing ◽  
Commonality Analysis ◽  
Current Representation

In literature, there are a number of indexes suggested that serve as the indicator of commonality among product components, modules and variants. However, as these elements are increasingly interconnected with aspects other than the component view, the existing commonality metrics are unable to effectively model these aspects due to their limitation in capturing relevant information for analysis. Therefore, there exists a need to consider multiple design and manufacturing aspects in commonality metrics so that a comprehensive view of the commonality among product variants can be presented. In the current representation schemes proposed for product family modeling, ontology is one of the most promising ones to model the complex semantic relations among various elements in a product family. Nevertheless, the research and application of ontology in the analysis of a product family has so far received little attention. In this paper, we proposed a framework to generate a semantically annotated multi-facet product family ontology. Using a case study of a laptop computer family, we suggest and demonstrate a new commonality analysis approach based on the semantically annotated multi-facet laptop product family ontology. Together with a new method of deriving product variants based on the aforementioned ontology, our approach illustrates the merits of using semantic annotation in assisting ontology based product family analysis.

Exploring Effective Change Propagation in a Product Family Design

2017 ◽  
Vol 139 (12) ◽  
Author(s):  
Inayat Ullah ◽  
Dunbing Tang ◽  
Qi Wang ◽  
Leilei Yin
Keyword(s):  
Product Family ◽  
Design Structure Matrix ◽  
Change Propagation ◽  
Effective Change ◽  
Design Structure ◽  
Design Changes ◽  
Requirements Change ◽  
Change Impact ◽  
Design Requirements

Product family (PF) design is a widely used strategy in the industry, as it allows meeting diverse design requirements. Change propagation in any PF is difficult to predict. Consequently, while numerous design change management methodologies presently exist, their application is restricted to a single artifact. This issue is overcome in the present study. The proposed framework explores effective change propagation paths (CPPs) by considering the risks associated with design changes in the PF with the aim of minimizing the overall redesign cost. The propagated risk, which would result in rework, is quantified in terms of change impact and propagation likelihood. Moreover, a design structure matrix (DSM) based mathematical model and an algorithm for its implementation are proposed to investigate the change propagation across the PF. Finally, to demonstrate their effectiveness, a PF of electric kettles is examined in a case study. The study findings confirm that the proposed technique is appropriate for evaluating different CPPs in PF.

A Platform Selection Approach Based on Product Family Ontology Modeling

2011 ◽  
Author(s):  
Soon Chong Johnson Lim ◽  
Ying Liu ◽  
Wing Bun Lee
Keyword(s):  
Product Family ◽  
Product Family Design ◽  
Laptop Computer ◽  
Product Representation ◽  
Faceted Search ◽  
Design Concepts ◽  
Selection Approach ◽  
Current Product ◽  
Representation Scheme ◽  
Future Work

Product family design is probably the most widely adopted strategy for product realization in mass customization paradigm. With the ever-increasing product offerings in consumer market, current product representation schemes are restricted by their limited capability in handling multiple conceptual relationships amongst product components and rich semantic annotations associated with different design concepts. Previously, we have studied and proposed an ontology-based information representation scheme for product family design, which offers a promising solution to address the aforementioned challenges. In this study, we suggest a new commonality metric and a faceted platform selection approach, which are both created for ontology-based product family representation models. Utilizing this metric and faceted search, we discuss the advantages of our approach compared to existing modeling possibilities. We also exemplify the applications of our proposal towards an optimal configuration of product variants using a case study of four laptop computer families. Finally, we conclude this paper with some indications for future work.

Platform Strategy for Product Family Design Using Particle Swarm Optimization

2011 ◽  
Author(s):  
Seung Ki Moon ◽  
KyoungJong Park ◽  
Timothy W. Simpson
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Product Family ◽  
Design Strategy ◽  
General Aviation ◽  
Multidisciplinary Optimization ◽  
Product Family Design ◽  
Swarm Optimization ◽  
Platform Design ◽  
Multi Objective

Product family design allows innovative companies to create customized product roadmaps, to manage designers and component partners, and to develop the next generation of products based on platform strategies. In product family design, problems for determining a design strategy or the degree of commonality for a platform can be considered as a multidisciplinary optimization problem with respect to design variables, production cost, company’s revenue, and customers’ satisfaction. In this paper, we investigate strategic module-based platform design to identify an optimal platform strategy in a product family. The objective of this paper is to introduce a multi-objective particle swarm optimization (MOPSO) approach to select the best platform design strategy from a set of Pareto-optimal solutions based on commonality and design variation within the product family. We describe modifications to apply the proposed MOPSO to the multi-objective problem of product family design and allow designers to evaluate varying levels of platform strategies. To demonstrate the effectiveness of the proposed approach, we use a case study involving a family of General Aviation Aircraft. The limitations of the approach and future work are also discussed.

scholarly journals EXTENDING PRODUCT FAMILY DESIGN METHODS TO PRODUCT-SERVICE-SYSTEM FAMILY DESIGN

2021 ◽  
Vol 1 ◽  
pp. 1557-1566
Author(s):  
David Rosen ◽  
Young Mi Choi
Keyword(s):  
Service System ◽  
Design Method ◽  
Product Family ◽  
Design Methods ◽  
Alternative Methods ◽  
Product Family Design ◽  
Product Service System ◽  
Product Families ◽  
Product Service ◽  
Smart Technologies

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.

Global Product Family Design: Multi-Objective Optimization and Design Concept Exploration

2012 ◽  
Author(s):  
Kikuo Fujita ◽  
Ken Nasu ◽  
Yuma Ito ◽  
Yutaka Nomaguchi
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Product Family ◽  
Design Concept ◽  
Mixed Integer ◽  
Product Family Design ◽  
Multi Objective ◽  
Concept Exploration ◽  
Supply Chain Configuration ◽  
Chain Configuration

Global product family design is the problem in which product variants and supply chain configuration are simultaneously designed. It has become a significant concern of manufacturing industries under globalization. Its context is not only complicated under various factors and their interactions but also vague under strategic decision making. In this paper, first, a multi-objective mixed-integer formulation of simultaneous design of module commonalization and supply chain configuration is developed under the criteria on quality, cost and delivery, and an optimization algorithm for obtaining Pareto optimal solutions is configured by using a neighborhood cultivation genetic algorithm and simplex method. Then, this paper investigates into design concept exploration on the optimality and compromise in global product family design with data-mining techniques, a principal component analysis technique and a self-organizing map technique. This paper demonstrates some numerical case studies for ascertaining the validity and promise of the proposed mathematical model and computational techniques for supporting the designer’s decision making toward the excellence in global product family design.

Multi-Objective Design Optimization for Product Platform and Product Family Design Using Genetic Algorithms

2005 ◽  
Author(s):  
Satish V. K. Akundi ◽  
Timothy W. Simpson ◽  
Patrick M. Reed
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Genetic Algorithms ◽  
Product Family ◽  
Optimization Techniques ◽  
Product Platform ◽  
Product Family Design ◽  
Nsga Ii ◽  
Pareto Solution ◽  
Multi Objective

Many companies are using product families and platform-based product development to reduce costs and time-to-market while increasing product variety and customization. Multi-objective optimization is increasingly becoming a powerful tool to support product platform and product family design. In this paper, a genetic algorithm-based optimization method for product family design is suggested, and its application is demonstrated using a family of universal electric motors. Using an appropriate representation for the design variables and by adopting a suitable formulation for the genetic algorithm, a one-stage approach for product family design can be realized that requires no a priori platform decision-making, eliminating the need for higher-level problem-specific domain knowledge. Optimizing product platforms using multi-objective algorithms gives the designer a Pareto solution set, which can be used to make better decisions based on the trade-offs present across different objectives. Two Non-Dominated Sorting Genetic Algorithms, namely, NSGA-II and ε-NSGA-II, are described, and their performance is compared. Implementation challenges associated with the use of these algorithms are also discussed. Comparison of the results with existing benchmark designs suggests that the proposed multi-objective genetic algorithms perform better than conventional single-objective optimization techniques, while providing designers with more information to support decision making during product family design.

Modular Product Family Design for Pumping Unit Based on Design Structure Matrix

2012 ◽  
Vol 479-481 ◽  
pp. 2420-2423 ◽  
Author(s):  
Yong Zhang ◽  
Guo Ning Qi ◽  
Yang Jian Ji ◽  
Li Wei Song ◽  
Peng Jiang
Keyword(s):  
Quantitative Method ◽  
Modular Design ◽  
Product Family ◽  
Design Structure Matrix ◽  
Product Family Design ◽  
Structure Matrix ◽  
Modular Product ◽  
Design Structure ◽  
Unit Design ◽  
Pumping Unit

A new method was introduced in this paper, which would help to build the modular product family for pumping unit. Design Structure Matrix (DSM) was used in the process of the pumping unit’s module planning avoiding from the disadvantages of inconsistent rules and improper scale. Taking the case of the beam-pumping unit, some specific techniques were discussed in this paper such as DSM’s building, tearing and clustering as well as the analysis of their results. And the product family of this kind of beam-pumping unit was designed under the result of the modules and the principle of tabular layouts of article characteristics. This study could be widely used as a kind of quantitative method for modular design of other products.

Sign in / Sign up

Export Citation Format

Share Document