Multilevel Optimization for Decision-Based Design

In the previous chapters, decision-based design (DBD) has been used to model the interaction between enterprise product planning and engineering product development in a single optimization problem and solved using an all-in-one (AIO) approach. Such an approach may not be practical in a typical industry design environment, due to the organizational and computational complexities involved. In this chapter, we present a hierarchical multilevel optimization approach, based on the principles of DBD and the concept of analytical target cascading (ATC), to integrate enterprise-level product planning with engineering-level product development. A search algorithm that coordinates the multilevel optimization solution process is presented. Such an algorithm systematically explores the engineering attribute space that may consist of a number of disconnected feasible domains due to engineering constraints. A case study that involves the design of an automotive suspension system is used to illustrate the effectiveness of the approach.

[1]  Jeremy J. Michalek,et al.  Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading , 2005 .

[2]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[3]  Xiaoyu Gu,et al.  Decision-Based Collaborative Optimization , 2002 .

[4]  Jeremy S. Agte,et al.  Bi-Level Integrated System Synthesis , 1998 .

[5]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[6]  John E. Renaud,et al.  Concurrent Subspace Optimization Using Design Variable Sharing in a Distributed Computing Environment , 1996 .

[7]  Deepak Kumar,et al.  Target Exploration for Disconnected Feasible Regions in Enterprise-Driven Multilevel Product Design , 2006 .

[8]  Panos Y. Papalambros,et al.  Analytical Target Cascading in Automotive Vehicle Design , 2001 .

[9]  Tao Jiang,et al.  Target Cascading in Optimal System Design , 2003, DAC 2000.

[10]  Asme,et al.  A collection of technical papers : 38th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit and AIAA/ASME/AHS Adaptive Structures Forum, April 7-10, 1997, Kissimmee, FL , 1997 .

[11]  Zoran Filipi,et al.  Target cascading in vehicle redesign: a class VI truck study , 2002 .

[12]  J. Sobieszczanski-Sobieski,et al.  Bilevel Integrated System Synthesis for Concurrent and Distributed Processing , 2002 .

[13]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[14]  Tx Station.  Stata Statistical Software: Release 7. , 2001 .

[15]  Robert D. Braun,et al.  Collaborative optimization: an architecture for large-scale distributed design , 1996 .

[16]  Ilan Kroo,et al.  Multidisciplinary optimization applications in preliminary design - Status and directions , 1997 .

[17]  Leyuan Shi,et al.  An Optimization Framework for Product Design , 2001, Manag. Sci..

[18]  C. W. Mousseau,et al.  A Parametric Model to Generate Subsystem Constitutive Laws for a Vehicle Ride Model , 2001 .

[19]  K. Train.  Discrete Choice Methods with Simulation , 2003 .