Platform Selection under Performance Loss Constraints in Optimal Design of Product Families

نویسندگان

  • Ryan Fellini
  • Michael Kokkolaras
  • Panos Y. Papalambros
  • Alexis Perez-Duarte
چکیده

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. NOMENCLATURE P Set of products. m Number of products in set P . p,q Superscripts denoting products. C p Set of components in product p. c i Component i in product p. ∗Corresponding author, Phone/Fax: (734) 647-8401/8403 1 n Number of design variables. d Number of model responses. x Vector of design variables. η Sharing decision variable. R Vector of responses. f Objective function representing product performance. f ◦ Optimal objective function value for null platform f ∗ Optimal objective function value for a platform-based product. g Vector of inequality constraints. h Vector of equality constraints. Ŝ pq Set of pairs of indices describing candidate platform between two products. Ŝ Set of all sets Ŝ pq with p, q ∈ P . S pq Set of pairs of indices describing platform between two products. S Set of all sets S pq with p, q ∈ P . L Performance loss tolerance. D Distance function. ω Preference on sharing component. b Width of rectangular cross section. h Height of rectangular cross section. t Thickness of rectangular cross section. Copyright  2002 by ASME

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Platform Selection Under Performance Bounds in Optimal Design of Product Families

Designing a family of product variants that share some components usually requires a compromise in performance relative to the individually optimized variants due to the commonality constraints. Choosing components for sharing may depend on what performance losses can be tolerated. In this article an optimal design problem is formulated to choose product components to be shared without exceedin...

متن کامل

An efficient decomposed multiobjective genetic algorithm for solving the joint product platform selection and product family design problem with generalized commonality

Product family optimization involves not only specifying the platform from which the individual product variants will be derived, but also optimizing the platform design and the individual variants. Typically these steps are performed separately, but we propose an efficient decomposed multiobjective genetic algorithm to jointly determine optimal (1) platform selection, (2) platform design, and ...

متن کامل

Quantitative platform selection in optimal design of product families, with application to automotive engine design

Product variants with similar architecture but different functional requirements may have common parts. We define a product family to be a set of such products, and refer to the set of common parts as the product platform. Product platforms enable rapid adjustment to changing market needs while keeping development costs and time-cycles low. In many cases, however, the individual product require...

متن کامل

An Optimal Selection of Induction Heating Capacitance by Genetic Algorithm Considering Dissipation Loss Caused by ESR (TECHNICAL NOTE)

In design of a parallel resonant induction heating system, choosing a proper capacitancefor the resonant circuit is quite important. The capacitance affects the resonant frequency, outputpower, Q-factor, heating efficiency and power factor. In this paper, the role of equivalent seriesresistance (ESR) in the choice of capacitance is significantly recognized. Optimal value of resonancecapacitor i...

متن کامل

PERFORMANCE BASED OPTIMAL SEISMIC DESIGN OF RC SHEAR WALLS INCORPORATING SOIL–STRUCTURE INTERACTION USING CSS ALGORITHM

In this article optimal design of shear walls is performed under seismic loading. For practical aims, a database of special shear walls is created. Special shear walls are used for seismic design optimization employing the charged system search algorithm as an optimizer. Constraints consist of design and performance limitations. Nonlinear behavior of the shear wall is taken into account and per...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2002