Technical Brief

Correlation Between Architectural Complexity of Engineering Systems and Actual System Design Effort

[+] Author and Article Information
Gwang Kim

Department of Industrial Engineering,
Seoul National University,
1 Gwanak-ro, Gwanak-gu,
Seoul 08826, South Korea
e-mail: gwangkim91@snu.ac.kr

Yunjung Kwon

Department of Industrial Engineering,
Seoul National University,
1 Gwanak-ro, Gwanak-gu,
Seoul 08826, South Korea
e-mail: yunjungkwon@snu.ac.kr

Eun Suk Suh

Graduate School of Engineering Practice,
Seoul National University,
1 Gwanak-ro, Gwanak-gu,
Seoul 08826, South Korea
e-mail: essuh@snu.ac.kr

Jaemyung Ahn

Department of Aerospace Engineering,
Korea Advanced Institute of Science
and Technology (KAIST),
Daejeon 305-701, South Korea
e-mail: jaemyung.ahn@kaist.ac.kr

1Corresponding author.

Contributed by the Design Theory and Methodology Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received May 22, 2016; final manuscript received November 11, 2016; published online January 12, 2017. Assoc. Editor: Christopher Mattson.

J. Mech. Des 139(3), 034501 (Jan 12, 2017) (5 pages) Paper No: MD-16-1379; doi: 10.1115/1.4035319 History: Received May 22, 2016; Revised November 11, 2016

Architectural complexity management of engineering systems is becoming a major issue as systems built nowadays implement more complex technologies and innovations. In this paper, we present a preliminary research finding where quantitative values for an engineering system's architectural complexity are mapped with design effort for individual subsystems that are part of the system architecture. This was done to establish relationships between abstract architectural complexity of engineering systems and metrics that can directly be applied to system design and development. A railroad train driving bogie was used for the case study.

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Grahic Jump Location
Fig. 1

CAD drawing of the driving bogie (with permission from Korean Railroad Research Institute)

Grahic Jump Location
Fig. 2

Driving bogie DSM (component level with boundary drawn for major subsystems)

Grahic Jump Location
Fig. 3

Plot for subsystem design time (median) and perceived design difficulty

Grahic Jump Location
Fig. 4

Plot for subsystem architectural complexity (median) and perceived design difficulty




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