Fundamental Concepts for Product Designs Based on Pareto Optimum Solutions

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.

Hierarchical Arrangement of Characteristics in Product Design Optimization

2005 ◽  
Vol 128 (4) ◽  
pp. 701-709 ◽  
Author(s):  
Masataka Yoshimura ◽  
Masahiko Taniguchi ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimization Problems ◽  
Optimization Method ◽  
Hierarchical Level ◽  
Specific Design ◽  
Design Problems ◽  
Hierarchical Arrangement ◽  
Optimum Solution ◽  
Insight Into

This paper proposes a machine product design optimization method based on the decomposition of performance characteristics, or alternatively, extraction of simpler characteristics, that is especially responsive to the detailed features or difficulties presented by specific design problems. The optimization problems examined here are expressed using hierarchical constructions of the decomposed and extracted characteristics and the optimizations are sequentially repeated, starting with groups of characteristics having conflicting characteristics at the lowest hierarchical level and proceeding to higher levels. The proposed method not only effectively provides optimum design solutions, but also facilitates deeper insight into the design optimization results, so that ideas for optimum solution breakthroughs are more easily obtained. An applied example is given to demonstrate the effectiveness of the proposed method.

Concurrent Product Design Based on Simultaneous Processing of Design and Manufacturing Information by Utility Analysis

1995 ◽  
Author(s):  
Masataka Yoshimura ◽  
Hideyuki Kondo
Keyword(s):  
Product Design ◽  
Design Procedure ◽  
Product Performance ◽  
Pareto Optimum ◽  
Manufacturing Cost ◽  
Utility Analysis ◽  
Satisfactory Level ◽  
Pareto Optimum Solution ◽  
Product Manufacturing ◽  
Optimum Solution

Abstract A methodology for concurrent decision making of factors concerning product design and product manufacturing is proposed for obtaining better product designs from a wider global viewpoint of the product performance and the product manufacturing cost according to the concept of concurrent engineering. In this method, first, a function expressing the satisfactory level of the manufacturing division and a function expressing the satisfactory level of the design division are formulated for the product design being regarded. Then, an integrated higher ranking decision making utility function is formulated using these two satisfactory level functions by the utility analysis. Next, Pareto optimum solution sets of the two multiobjective optimization problems of maximization of the product performance and minimization of the product manufacturing cost are obtained for alternative product designs. Finally, on the Pareto optimum solution curves, the values of the integrated satisfactory levels are obtained and the most preferable design solution is selected. An applied example of this concurrent design procedure is given to demonstrate it’s effectiveness in comparison to a conventional design procedure.

Design Optimization Considering Flexibility for Working Environment Based on Information of Pareto Optimum Solution Curvatures

1994 ◽  
Author(s):  
Masataka Yoshimura ◽  
Takatoshi Nishikawa
Keyword(s):  
Design Optimization ◽  
Optimization Problems ◽  
Working Environment ◽  
Product Performance ◽  
Design Solution ◽  
Pareto Optimum ◽  
Design Decision ◽  
Product Cost ◽  
Pareto Optimum Solution ◽  
Optimum Solution

Abstract This paper presents design decision making methods considering flexibility for change in the working environment. In order to make a clear evaluation of the changes in the optimum levels of the product cost and product performance due to changes in the working environment, three objective design optimization problems are constructed having the three objectives of minimization of the product cost, maximization of the product performance and maximization of flexibility for the working environment. The Pareto optimum solution set forming a curvature is obtained for the evaluation. Then, a method for determining the preferable design solution using information from the Pareto optimum solution curvature is presented. Finally, the proposed methods are applied to design examples for demonstrating effectiveness.

scholarly journals One Welfare State for Europe: A Costly Utopia?

2004 ◽  
Vol 4 (2) ◽  
pp. 1850020 ◽  
Author(s):  
Peter Hennessy ◽  
Thierry Warin
Keyword(s):  
Social Program ◽  
Pareto Optimum ◽  
Gdp Growth ◽  
The European Union ◽  
Social Expenditure ◽  
Asymmetric Shocks ◽  
Pareto Optimum Solution ◽  
Future Policy ◽  
Optimum Solution ◽  
Social Expenditures

This paper addresses the question of the social policy harmonization in the European Union. In adopting a common monetary policy, Europe is faced with structural and fiscal concerns, as national growth levels differ. Another possible factor in output shocks are the levels of various social expenditures in the member countries. OECD data on the level of social program expenditures in four EU countries will be compared to fluctuations in GDP growth to identify existing relationships. Significant relationships between independent social expenditure policy and GDP growth shocks suggest structural harmonization as an improvement if Europe is to take full advantage of the common market. However, the effects of expenditure levels may be easier to identify and predict than the dynamic effects of policy change. As the effects of future policy changes are more difficult to ascertain, harmonization may not consistently appear to be a Pareto-optimum solution to asymmetric shocks.

Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements

2020 ◽  
Author(s):  
Khalil Al Handawi ◽  
Petter Andersson ◽  
Massimo Panarotto ◽  
Ola Isaksson ◽  
Michael Kokkolaras
Keyword(s):  
Design Optimization ◽  
Optimal Designs ◽  
Design Problems ◽  
Direct Energy Deposition ◽  
Engineering Design Problems ◽  
Direct Energy ◽  
Transition Rules ◽  
Set Based Design ◽  
Manufacturing Technologies ◽  
Process Solutions

Abstract Engineering design problems often have open-ended requirements, especially in the early stages of development. Set-based design is a paradigm for exploring, and keeping under consideration, several alternatives so that commitment to a single design can be delayed until requirements are settled. In addition, requirements may change over the lifetime of a component or a system. Novel manufacturing technologies enable designs to be remanufactured to meet changed requirements. By considering this capability during the set-based design optimization process, solutions can be scaled to meet evolving requirements and customer specifications even after commitment. Such an ability can also support a circular economy paradigm based on the return of used or discarded components and systems to working condition. We propose a set-based design methodology to obtain scalable optimal solutions that can satisfy changing requirements through remanufacturing. We first use design optimization and surrogate modeling to obtain parametric optimal designs. This set of parametric optimal designs is then reduced to scalable optimal designs by observing a set of transition rules for the manufacturing process used (additive or subtractive). The methodology is demonstrated by means of a structural aeroengine component that is remanufactured by direct energy deposition of a stiffener to meet higher loading requirements.

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

2009 ◽  
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.

Robust Product Design Optimization Method Using Hierarchical Representations of Characteristics

2007 ◽  
Author(s):  
Masataka Yoshimura ◽  
Koichi Sasaki ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki
Keyword(s):  
Design Optimization ◽  
Product Design ◽  
Optimum Design ◽  
Process Variations ◽  
Optimization Method ◽  
Performance Characteristics ◽  
Design Solutions ◽  
Hierarchical Representations ◽  
Robust Product Design

Product design optimizations usually require the optimization of not only all performance characteristics, but also the robustness of certain performance characteristics. Obtaining optimum design solutions is far from easy, since this requires evaluations of numerous related characteristics that usually have complicated and conflicting interrelationships. Some of these characteristics can include variations of one type or another, such as manufacturing process variations, variations pertaining to the environments where the product is used, variations in how long-term use affects certain product characteristics, and so on. The difficulty of obtaining optimum design solutions is thus compounded by the need to carry out specific optimizations that provide sufficient robustness to safely accommodate anticipated ranges of variations. This paper expands the hierarchical multiobjective optimization method based on simplification and decomposition of characteristics so that optimizations can be concurrently conducted for both performance characteristics and maximization of robustness against characteristic variances. A principal cause of variations in performance characteristics is variations in the contact conditions of joints, and the utility of the proposed robust product design optimization method is demonstrated by applying it to machine-tool models that include joints.

Formulation of Multicriterion Design Optimization Problems for Solution With Scalar Numerical Optimization Methods

2004 ◽  
Vol 48 (01) ◽  
pp. 61-76 ◽  
Author(s):  
Michael G. Parsons ◽  
Randall L. Scott
Keyword(s):  
Design Optimization ◽  
Numerical Optimization ◽  
Optimization Problems ◽  
Optimization Methods ◽  
Pareto Optimum ◽  
Compromise Solution ◽  
Design Problems ◽  
Common Definition ◽  
Bulk Carriers ◽  
Definition Of

Most marine design problems involve multiple conflicting criteria, objectives, or goals. The most common definition of the multicriterion optimum is the Pareto optimum, which usually results in a set of solutions. Design teams, however, need to arrive at a single answer that provides an acceptable compromise solution within the Pareto set. Methods have been developed to solve multicriterion optimization problems using a number of related definitions of the compromise solution or "optimum" in the presence of multiple conflicting criteria. The most common of these definitions are reviewed and their solutions are formulated in a consistent form utilizing a preference function that will allow their solution using conventional scalar criterion numerical optimization methods. This approach permits the use and comparison of the various definitions of the multicriterion "optimum" with modest additional computation. The design team can use these results to guide its selection of the solution that best reflects their design intent in a particular case. A sixparameter, three-criterion, 14-to 16-constraint conceptual marine design optimization example adapted from the literature is presented to illustrate the use of this approach. The results for the various definitions of the multicriterion optimum for Panamax and post-Panamax bulk carriers are presented for comparison.

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