Design of Change-Absorbing System Architecture for the Design of Robust Products and Services

Oh, Seongwoog; Park, Beomjin; Park, Shin-Ae; Hong, Yoo S.

doi:10.1007/978-3-540-73111-5_122

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…Edwin et al (2013) assess the changeability of engineering systems in order to identify suitable components to be made more changeable. Oh et al (2007) analyze the change propagation and solve mathematical problems in order to design change-absorbing system architecture. Li et al (2012) propose a process simulation–based method to select the most economic propagation path for each design change.…”

Section: Literature Reviewmentioning

confidence: 99%

Workload-based change propagation analysis in engineering design

Tang

Yin

Wang

et al. 2015

Concurrent Engineering

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As engineering change is a significant activity in industry and uses a lot of engineering design capacity, the management of engineering changes has become a crucial discipline. Some methods and tools to support dealing with changes have been provided. From the perspective of the workload, our work extends the method of change management through incorporation of requirement-driven change propagation. The primary result of this work is the provision of a design support to find the optimal solution of design change by examining the workload of each change propagation path. In this article, two types of change relationships are illustrated: relationships between change requirements and components and relationships between components. A matrix-based approach and two types of change propagation pattern (AND and OR) are implemented to generate change propagation paths. The concept of workload transformation is applied to calculate the workload of each change component, and then the total workload of each change propagation path is calculated to achieve the optimal solution of design change. Based on the analysis results, the schemes of design change with high workload can be avoided and those with low workload can be implemented efficiently. To demonstrate how the developed method can be applied, a blowing and suction machine is taken into consideration. Finally, the method is initially discussed and evaluated.

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Section: Literature Reviewmentioning

confidence: 99%

Workload-based change propagation analysis in engineering design

Tang

Yin

Wang

et al. 2015

Concurrent Engineering

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“…The tool uses a simple model of risk, where the likelihood of a change propagating is differentiated from the impact of such an occurrence. This technique has been used in many other works [18,33,21]. Grantham-Lough et al [12] applied prediction methods for change propagation and risk estimations based on the functional decomposition of the product in early design stages.…”

Section: Related Workmentioning

confidence: 99%

Towards a change-aware process environment for system and software process

Hajmoosaei

Tran

Percebois

et al. 2015

Proceedings of the 2015 International Conference on Software and System Process

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International audienceManaging changes for knowledge-intensive processes like System and Software Engineering is a critical issue but far from being mastered due to the lack of supporting methods and practical tools. To manage changes systematically, a process environment is needed to control processes and to handle changes at run-time. However, such an effective environment satisfying these requirements is still missing. The reason is two-folds: first, operational process environments for system and software engineering is scarce; second, there is a lack of efficient change management mechanism integrated in such process environments. In order to address these concerns, we aimed at developing a change-aware process environment for system and software engineering. To this aim, we proposed a change management mechanism based on (1) the Process Dependency Graph (PDG) representing the dependencies among running process instances managed by a process environment ; (2) a Change Observer process to catch change events and update the PDG with run-time information; (3) a Change Analyzer component to extract the impacts of change by reasoning the PDG. In terms of implementation, to gain the benefits from the Business Process Community, where many mature Business Process Management Systems have been developed, we chose jBPM to enact and monitor processes. The key strengths of this study are: first, the PDG makes hidden dependencies among process instances emerge at run-time; second, the process observer inside the BPMS allows to handle the change events in a timely manner. Finally, the Neo4j graph database, used to store the PDG, enables efficient traversal and queries

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“…It should, however, be highlighted that the assessment only focuses on component connectivity and does not consider the difference in change effort for each system component. The influence of indirect change dependencies and the impact of change can be examined in a modelling method presented by Oh et al (2007). According to their paper, the method seeks to improve the changeability of system modules by identifying and redesigning appropriate system components (sub-modules) to absorb changes.…”

Section: Previous Workmentioning

confidence: 99%

A technique to assess the changeability of complex engineering systems

Koh

Caldwell

Clarkson

2013

Journal of Engineering Design

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An approach to cope with changing market needs is to design engineering systems that can be changed easily. However, in order to identify suitable candidates to be made more changeable, one has to be able to analyse the changeability of engineering systems. Hence, this paper introduces a dependency modelling technique that seeks to support companies in assessing the changeability of complex engineering systems. The research was carried out based on the design research methodology with a focus on method development. The primary result of this work is the provision of a design support that can be used to provide an estimation of system changeability by examining (1) the initiating points of change, (2) the direct propagation of change, (3) the indirect propagation of change, (4) the likelihood of change, and (5) the impact or effort of change. The technique developed uses a matrix-based approach and draws on the change prediction method to generate change indices for individual system components. By referring to the change indices generated, the changeability of engineering systems can be examined systematically. A heavy-duty diesel engine is used in this work as an example to demonstrate how the technique can be applied.

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Design of Change-Absorbing System Architecture for the Design of Robust Products and Services

Cited by 5 publications

References 8 publications

Workload-based change propagation analysis in engineering design

Workload-based change propagation analysis in engineering design

Towards a change-aware process environment for system and software process

A technique to assess the changeability of complex engineering systems

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