Target Cascading in Optimal System Design

By Panos Y. Papalambros, T. Jiang. Design Automation Conference, 2003

647 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Industrial and Manufacturing Engineering, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/2be2d120e85ebb30013a1596f586f434e126232b

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In Computational Theory and Mathematics

In Industrial and Manufacturing Engineering

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Citations in the corpus

Exponential penalty function formulation for multilevel optimization using the analytical target cascading framework (2013, methodology): “Analytical target cascading (ATC) (Michelena et al. 1999; Kim et al. 2003) is a model-based, multilevel optimization method that was originally developed for design of hierarchical systems and later extended to design of non-hierarchical systems (Tosserams et al.”
Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (2010, background): “The idea of decomposition penetrates in conceptual design (Kusiak and Szczerbicki 1992), optimal system design (Kim et al. 2003), concurrent design, complex problem modeling, etc. Decomposition often accompanies with parallel approaches to enhance the efficiency.”
Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading (2005, methodology): “It works by viewing a complex system as a decomposable hierarchy of interrelated subsystems, each of which can be analyzed and optimized separately and then coordinated (Kim, 2001).”
An augmented Lagrangian relaxation for analytical target cascading using the alternating direction method of multipliers (2006, background): “…t (i +1)k c i j ) = 0, ∀ j ∈ E i , i = 1, . . . , N , (2) where x i j is the vector of local variables of element j at level i; t i j is the vector of target variables shared by element j at level i with its parent at level i − 1; E i is the set of elements at level i (e.g., E 3 = {4, 5, 6} in Fig.”
Multidisciplinary design optimization: A survey of architectures (2013, background): “In the MDO literature, several terms are used to describe what we call “architecture”: “method” [17, 53, 54, 55, 56], “methodology” [57, 58, 59], “problem formulation” [60, 61, 62, 63], “strategy” [64, 65], “procedure” [66, 67], and “algorithm” [68, 69, 70, 71] have all been used.”
Key computational modeling issues in Integrated Computational Materials Engineering (2013, methodology): “ATC is an approach for cascading overall system design targets to sub-system specifications based on an hierarchical multi-level decomposition [192], similar to the concurrent material and product design problem shown in Fig.”
Design of virtual plant environment for future generation green production systems (2007, neutral): “Cascading requirements is the process of strategically dictating requirements to elements lower in the product architecture hierarchy [Kim et al., 2003].”
Enhancing Marketing with Engineering: Optimal Product Line Design for Heterogeneous Markets (2011, positive): “The modeler’s task is to organize the various subsystem models into a hierarchy, where each element in the hierarchy represents a (sub)system that is optimized to match targets passed from the parent (super)system while setting targets that are attainable by subsystem child elements (Kim et al. 2003”
Probabilistic Analytical Target Cascading: A Moment Matching Formulation for Multilevel Optimization Under Uncertainty (2006, positive): “Analytical target cascading (ATC) is a methodology developed for hierarchical multilevel system optimization (Kim et al., 2000; Kim, 2001; Kim et al., 2001 and 2002; Kokkolaras et al., 2002 and 2004b).”