Weights, Norms, and Notation in Analytical Target Cascading

2004 ◽  
Vol 127 (3) ◽  
pp. 499-501 ◽  
Author(s):  
Jeremy J. Michalek ◽  
Panos Y. Papalambros
Keyword(s):  
Systems Design ◽  
Technical Note ◽  
Hierarchical Optimization ◽  
Analytical Target Cascading ◽  
Model Based ◽  
Target Cascading ◽  
Optimization Methodology

This technical note provides clarification, modification, and generalization of the notation used to describe analytical target cascading, a model-based hierarchical optimization methodology for systems design.

Analytical Target Setting: An Enterprise Context in Optimal Product Design

2003 ◽  
Author(s):  
Adam B. Cooper ◽  
Panayotis Georgiopoulos ◽  
Hyung Min Kim ◽  
Panos Y. Papalambros
Keyword(s):  
Product Design ◽  
Engineering Design ◽  
Analytical Target Cascading ◽  
Design Decisions ◽  
Target Setting ◽  
Model Based ◽  
Target Cascading ◽  
Optimal Product Design ◽  
High Level ◽  
Made In

Engineering design decisions have more value and lasting impact if they are made in the context of the enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the enterprise, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating supersystem design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and allow top targets to be met as closely as possible. In this article the process of rigorously setting the supersystem targets in an enterprise context is explored as a model-based approach termed “analytical target setting.” The effectiveness of linking analytical target setting and cascading is demonstrated in an automotive truck vehicle example.

scholarly journals Multi-level Decomposed Systems Design: Converting a Requirement Specification into an Optimization Problem

2019 ◽  
Vol 1 (1) ◽  
pp. 3691-3700
Author(s):  
T. F. Beernaert ◽  
L. F. P. Etman
Keyword(s):  
Systems Engineering ◽  
Systems Design ◽  
Optimization Techniques ◽  
Analytical Target Cascading ◽  
Multiple Components ◽  
Engineering Design Process ◽  
Target Cascading ◽  
Automotive Powertrain ◽  
Multi Level ◽  
High Level

AbstractComplex technological artefacts are often decomposed into smaller components to keep their design manageable. The resulting challenge is to coordinate decisions that involve multiple components and to design components such that high-level targets are met. Analytical Target Cascading (ATC) is an analytical coordination method for the optimization of decomposed systems, which we aim to incorporate in systems engineering design process. To this extent, we relate the domain of engineering optimization to the domain of requirements engineering, and propose a method that constructs an ATC problem from functional specifications and requirements written in the newly developed Elephant Specification Language. The proposed method is demonstrated in the two-level design of an automotive powertrain. This contribution is a step towards design automation and is expected to increase the usability of decomposed optimization techniques.

Model-Based Aeration Systems Design - Case Study Nansemond WWTP

2012 ◽  
Vol 2012 (14) ◽  
pp. 2445-2471 ◽  
Author(s):  
Leiv Rieger ◽  
Charles B. Bott ◽  
William J. Balzer ◽  
Richard M. Jones
Keyword(s):  
Systems Design ◽  
Model Based ◽  
Design Case ◽  
Design Case Study

scholarly journals An Enhanced Analytical Target Cascading and Kriging Model Combined Approach for Multidisciplinary Design Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Ping Jiang ◽  
Jianzhuang Wang ◽  
Qi Zhou ◽  
Xiaolin Zhang
Keyword(s):  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Kriging Model ◽  
Multidisciplinary Design ◽  
High Approximation ◽  
Engineering Systems ◽  
Analytical Target Cascading ◽  
Combined Approach ◽  
Coordination Strategy ◽  
Target Cascading

Multidisciplinary design optimization (MDO) has been applied widely in the design of complex engineering systems. To ease MDO problems, analytical target cascading (ATC) organizes MDO process into multilevels according to the components of engineering systems, which provides a promising way to deal with MDO problems. ATC adopts a coordination strategy to coordinate the couplings between two adjacent levels in the design optimization process; however, existing coordination strategies in ATC face the obstacles of complicated coordination process and heavy computation cost. In order to conquer this problem, a quadratic exterior penalty function (QEPF) based ATC (QEPF-ATC) approach is proposed, where QEPF is adopted as the coordination strategy. Moreover, approximate models are adopted widely to replace the expensive simulation models in MDO; a QEPF-ATC and Kriging model combined approach is further proposed to deal with MDO problems, owing to the comprehensive performance, high approximation accuracy, and robustness of Kriging model. Finally, the geometric programming and reducer design cases are given to validate the applicability and efficiency of the proposed approach.

scholarly journals Analytical target cascading for optimal configuration of cloud manufacturing services

2017 ◽  
Vol 151 ◽  
pp. 330-343 ◽  
Author(s):  
Yingfeng Zhang ◽  
Geng Zhang ◽  
Ting Qu ◽  
Yang Liu ◽  
Ray Y. Zhong
Keyword(s):  
Cloud Manufacturing ◽  
Optimal Configuration ◽  
Analytical Target Cascading ◽  
Target Cascading
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