Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011 |
| Pages | 1057-1066 |
| Number of pages | 10 |
| Edition | PARTS A AND B |
| DOIs | |
| State | Published - Dec 1 2011 |
| Event | ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011 - Washington, DC, United States Duration: Aug 28 2011 → Aug 31 2011 |
Publication series
| Name | Proceedings of the ASME Design Engineering Technical Conference |
|---|---|
| Number | PARTS A AND B |
| Volume | 5 |
Other
| Other | ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011 |
|---|---|
| Country | United States |
| City | Washington, DC |
| Period | 8/28/11 → 8/31/11 |
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All Science Journal Classification (ASJC) codes
- Modeling and Simulation
- Mechanical Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
Cite this
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Platform strategy for product family design using particle swarm optimization. / Moon, Seung Ki; Park, Kyoung Jong; Simpson, Timothy William.
ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011. PARTS A AND B. ed. 2011. p. 1057-1066 (Proceedings of the ASME Design Engineering Technical Conference; Vol. 5, No. PARTS A AND B).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Platform strategy for product family design using particle swarm optimization
AU - Moon, Seung Ki
AU - Park, Kyoung Jong
AU - Simpson, Timothy William
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=84863583958&partnerID=8YFLogxK
U2 - 10.1115/DETC2011-48060
DO - 10.1115/DETC2011-48060
M3 - Conference contribution
SN - 9780791854822
T3 - Proceedings of the ASME Design Engineering Technical Conference
SP - 1057
EP - 1066
BT - ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2011
ER -