Optimization of Machine Product Designs From Deeper Level Characteristics Using Collaboration Theory Concepts

Volume 5: 35th Design Automation Conference, Parts A and B ◽

10.1115/detc2009-86928 ◽

2009 ◽

Cited By ~ 1

Author(s):

Masataka Yoshimura ◽

Shin Kikuchi

Keyword(s):

Product Design ◽

Optimized Design ◽

Design Problems ◽

Continuous Evolution ◽

Collaborative Product Design ◽

Design Solutions ◽

Design Characteristics

Successfully optimization of product designs calls for the continuous evolution of optimized design solutions, which is best achieved by collaboration among a group of experts who understand the intricacies of the product’s characteristics. The achievement of successful collaborations depends on optimization methodologies that focus on design characteristics located at deeper levels of hierarchically decomposed design problems, and the construction of optimization scenarios that have an explicit goal of maximizing the expected profits that result from the collaboration. This paper proposes methodologies and procedures based on hierarchical optimizations that aim to effectively conduct collaborative product design optimizations. The proposed methodologies are applied to a machine product design, and their effectiveness is demonstrated.

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Fundamental Concepts for Product Designs Based on Pareto Optimum Solutions

Volume 5: 37th Design Automation Conference, Parts A and B ◽

10.1115/detc2011-47247 ◽

2011 ◽

Author(s):

Masataka Yoshimura

Keyword(s):

Design Optimization ◽

Product Design ◽

Optimal Designs ◽

Pareto Optimum ◽

Design Problems ◽

Solution Sets ◽

Pareto Optimum Solution ◽

Design Solutions ◽

Articulated Robots ◽

Optimum Solution

This paper proposes fundamental concepts for goal-defined product designs, and practical methodologies for achieving optimal designs based these concepts. Also emphasized are the functions and significance of Pareto optimum solution sets in multi-objective optimizations during the execution of the proposed methodologies. Three main concepts for product design optimization are presented. First, the goal of the product design optimization is specified to obtain the best harmony of related (and often conflicting) characteristics, where Pareto optimum solution sets represent this harmony and more preferable degrees of harmony cause an increase in social profit. Second, to obtain design solutions that maximize the desired harmony, deeper level characteristics in the design optimization problem are derived based on simplification or decomposition of the usual surface level characteristics, and optimizations are initiated from these deeper levels where the most important and influential aspects of the design problems are easiest to recognize. The third concept entails the use of collaboration with specialist experts concerning the product characteristics, focusing on Pareto optimum solution sets obtained in deeper level optimizations, so that these experts can facilitate the development of more preferable results based on their own ideas and knowledge. The interrelationships between the second and third concepts are described and used to obtain globally optimal design solutions that have the highest degree of harmony for the required product design objectives. The proposed concepts and methodologies for product design optimizations are demonstrated using certain designs for articulated robots.

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