Designing systems for adaptability by means of architecture options

Engel, Avner; Browning, Tyson R.

doi:10.1002/sys.20090

Cited by 92 publications

(71 citation statements)

References 35 publications

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“…Modular system has several advantages such as ease of assembly (Holtta-Otto and de Weck 2007), ease of maintenance (Suh and Kott 2010) and ease of architecture adaptability (Engel and Browning 2008;Engel et al 2016). Due to such advantages, modular design strategy is widely used in engineering community to design complex system architectures using manageable and independently upgradable modules, such as fiber placement system and truck powertrain (Engel and Reich 2015).…”

Section: System Modularitymentioning

confidence: 99%

Pareto-optimization of complex system architecture for structural complexity and modularity

Sinha

Suh

2017

Res Eng Design

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Due to ever-increasing complexity of cuttingedge engineering systems, the need for managing structural complexity and modularity of such systems is becoming important. The complexity of the overall system architecture is mostly decided during the initial concept generation stage, when configurations of major modules within the system are determined. In this paper, we present a multiobjective optimization framework for (1) minimizing the variation in complexity allocation to individual modules, while (2) maximizing for the degree of modularity. The optimization framework was applied to a case study, where a trailing bogie system for railroad train was optimized for structural complexity allocation among individual modules and overall system modularity. The modularity maximizing decomposition is shown to induce a large variation in module-level complexity distribution with a small fraction of modules sharing a disproportionately large chunk of overall system complexity, while equitable distribution of module-level complexity leads to erosion in the degree of modularity achieved for the resulting system decomposition.

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Section: System Modularitymentioning

confidence: 99%

Pareto-optimization of complex system architecture for structural complexity and modularity

Sinha

Suh

2017

Res Eng Design

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“…A further external factor is component obsolescence, i.e., the redesign required as replacement components become obsolete. To account for such obsolescence, systems undergo major upgrades (Engel and Browning 2006).…”

Section: System Obsolescence and Decay Of Use Value Require Changementioning

confidence: 99%

“…Different technological approaches have been developed for this purpose. A quantitative method to model adaptability cost and value fluctuations of given system architectures has been proposed by Engel and Browning (2006).…”

Section: Adapting To Change In Markets and Environmentmentioning

confidence: 99%

The Use-it-Wisely (UIW) Approach

Granholm

Grösser

2017

Dynamics of Long-Life Assets

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Industrial products and services must be continually upgraded to meet changing demands of enhanced functionality and performance. The digital transformation of industry, together with new emerging technologies, enables improved solutions but at the same time cause increasing complexity and interdependence between system components. New forms of collaboration across the value chain are necessary to deliver sustainable solutions to satisfy current and future needs. The UIW-approach builds on the idea of a continuous incremental upgrade process carried out in collaborative effort between actors and stakeholders with the common objective to achieve a sustainable project life-cycle. Based on this approach a conceptual framework is defined. The UIW-framework includes an adaptation mechanism designed to account for the diverse influence factors affecting the upgrade design, a multi-disciplinary system model definition integrating actor, product and service data, and a virtual collaboration environment to facilitate the interaction between actors and a collection of tools and methods to support the collective efforts. The UIW-framework is used as a template for system implementations in installations in various actor networks.

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“…(Baldwin and Clark, 2000) (Sullivan et al, 2001, Sharman and Yassine, 2007, Engel and Browning, 2008) (Shapiro et al, 2016) (Fang et al, 2012) Koh (Koh et al, 2012) QFD (Quality Function Deployment) DSM (Design Structure Matrix)…”

Section: ( 2012)mentioning

confidence: 99%

Optimal planning method of design project based on risk assessment model with task option

Nomaguchi

Dong

Horinouchi

et al. 2017

Transactions of the JSME (In Japanese)

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The product design project includes many uncertainties. It causes risk that a project target cannot be accompolished within lead time. In order to flexibly handle the uncertainty and avoid the risk, adaptive planning that can switch easily to another plan by preparing options for a task is needed. When a challenging design alternative is difficult to be accompolished, a project manager should decide either to continue the design taking a risk or to switch to a conservative alternative disliking a risk. This paper proposes a new optimization-based project planning method that aims at a Pareto-optimal of the potential technical performane of designed product and a project failure risk. A task option model is employed for risk assesment of option-based project management. As its planning includes a number of various design variables and various evaluation indices, in order to solve such a complicated problem with a reasonable computation cost, this research separates the optimization problem into two phases, i.e., (i) defining of process architecture and organization structure and (ii) scheduling of resource allocation into activities. This paper demonstrates its application to a student formula design project. A proposed optimization method facilitates a project manager to explore various process plans with assessing their risks.

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Designing systems for adaptability by means of architecture options

Cited by 92 publications

References 35 publications

Pareto-optimization of complex system architecture for structural complexity and modularity

Pareto-optimization of complex system architecture for structural complexity and modularity

The Use-it-Wisely (UIW) Approach

Optimal planning method of design project based on risk assessment model with task option

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