scholarly journals Research on Optimal Design Problem Throughout Commonalization, Customization and Lineup Arrangement for Product Family Deployment(Machine Elements, Design and Manufacturing)

2010 ◽  
Vol 76 (769) ◽  
pp. 2316-2324 ◽  
Author(s):  
Ryota AKAI ◽  
Kikuo FUJITA
Author(s):  
Ryan Fellini ◽  
Michael Kokkolaras ◽  
Panos Y. Papalambros ◽  
Alexis Perez-Duarte

Designing a family of product variants that share some components usually entails a performance loss relative to the individually optimized variants due to the commonality constraints. Choosing components for sharing may depend on what performance losses can be tolerated. This article presents a methodology for making commonality decisions while controlling individual performance losses. Previous work focused on evaluating individual performance losses due to pre-specified sharing. Trade-offs were identified for different platforms (i.e., the sets of components shared among products) by means of Pareto sets. In the present work an optimal design problem is formulated to choose product components to be shared without exceeding a user-specified performance loss tolerance. This enables the designer to control trade-offs and obtain optimal product family designs for different levels of performance losses in an attempt to maximize commonality. A family of automotive side frames is used to demonstrate the approach.


2014 ◽  
Vol 20 (2) ◽  
pp. 460-487 ◽  
Author(s):  
Menita Carozza ◽  
Irene Fonseca ◽  
Antonia Passarelli di Napoli

Author(s):  
Emilio Acerbi ◽  
Irene Fonseca ◽  
Giuseppe Mingione

A new model for the energy of a mixture of micromagnetic materials is introduced within the context of functions with special bounded variation. Existence and regularity for the solution of an optimal design problem in micromagnetics are obtained.


2014 ◽  
Vol 709 ◽  
pp. 530-533 ◽  
Author(s):  
Aleksandr Vasilyevich Pitukhin ◽  
Igor Skobtsov

The purpose of this paper is to present the catastrophe theory method for the optimal design of machine components. A brief description of the cusp catastrophe is presented in the introduction. The statement of optimal design problem is given in the second part of the paper. A single criterion design is presented; the reliability function is used as the objective function. The last part is devoted to probability approach. Manage variables are viewed as stochastic quantities, analytical and statistical linearization methods are used for the reliability function evaluation.


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