A method to assess the effects of engineering change propagation

Koh, Edwin C. Y.; Caldwell, Nicholas; Clarkson, P. John

doi:10.1007/s00163-012-0131-3

Cited by 125 publications

(80 citation statements)

References 40 publications

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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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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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show abstract

“…Koh et al (2012) integrated the house of quality and CPM to model the effects of potential change propagation brought about by different change options. Hamraz et al (2012) and Ahmad et al (2013) applied procedures similar to CPM to different types of multi-domain or domain mapping matrices (Danilovic and Browning 2007) that capture the interdependences within and between multiple domains, such as components, functions, requirements, processes and organizations.…”

Section: Change Propagation Through Component Interactionsmentioning

confidence: 99%

“…component linkages, such as types (e.g., energy, information, material and spatial) (Pimmler and Eppinger 1994;Koh et al 2012), physical laws of change propagation (Ollinger and Stahovich 2004), likelihood of impact ) and sensitivity of impact (Yassine and Falkenburg 1999), are neutralized when we randomly draw fitness or performance values for component design choices. Thus, the impacts of additional factors in reality are neutralized in the statistical analysis of the association between product architecture and the simulated fitness landscapes, based on a large sample of simulation data.…”

Section: Product Evolvability and Design For Evolvabilitymentioning

confidence: 99%

A simulation-based method to evaluate the impact of product architecture on product evolvability

Luo

2015

Res Eng Design

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Products evolve over time via the continual redesigns of interdependent components. Product architecture, which is embodied in the structure of interactions among components, influences the ability for the product to be subsequently evolved. Despite extensive studies of change propagation via inter-component connections, little is known about the specific influences of product architecture on product evolvability. Related metrics and methods to assess the evolvability of products with given architectures are also under-developed. This paper proposes a simulation-based method to assess the isolated effect of product architecture on product evolvability by analyzing a design structure matrix. We define product evolvability as the ability of the product's design to subsequently generate heritable performance-improving variations, and propose a quantitative measure for it. We demonstrate the proposed method by using it to investigate a wide spectrum of model-generated DSMs representing products with varied architectures, and show that modularity and inter-component influence cycles promote product evolvability. Our primary contribution is a repeatable method to assess and compare alternative product architectures for architecture selection or redesign for evolvability. A second contribution is the simulation-based evidence about the impacts of two particular product architectural patterns on product evolvability. Both contributions aim to aid in designing for evolvability.

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“…However, the authors acknowledge that some dependencies may still be overlooked in the workshops and 'unexpected' change propagation may occur later. The use of change prediction techniques such as Koh et al (2012) to systematically examine direct and indirect change propagation is thus recommended to better support the mapping of change dependencies (note that change prediction techniques were not used in this case example but is part of an ongoing work at the industrial partner).…”

Section: Applying the Methods On A Truck Designmentioning

confidence: 99%

“…However, such endeavours can be tricky as changes can sometimes propagate, resulting in further changes to the design Koh and Clarkson 2009;Maier and Langer 2011;Langer et al 2012;Morkos et al 2012;Bauer et al 2015). Koh et al (2012) define the propagation of engineering changes (i.e. engineering change propagation) as 'the process by which an engineering change to parts of a product results in one or more additional engineering changes to other parts of the product, when those changes would not otherwise have been required', where engineering change itself is defined by Jarratt et al (2011) as 'an alteration made to parts, drawings or software that have already been released during the product design process.…”

Section: Introductionmentioning

confidence: 99%

Using engineering change forecast to prioritise component modularisation

Koh

Förg

Kreimeyer³

et al. 2015

Res Eng Design

Self Cite

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This paper presents a method that uses engineering change forecast to identify and prioritise product components for modularisation. The method uses a matrixbased technique to map change requirements to affected product components and later converts the said matrix into a component dependency matrix referred to in this work as the Engineering Change Forecast (ECF) matrix. The risk of change for each component is subsequently computed based on the ECF matrix to prioritise components for modularisation. The method was applied to support modularisation efforts pertaining to the design of a truck at a multinational engineering firm based in Germany. Six hundred and fortythree change requirements were considered in this work. As a comparison study, an analysis was made at the component level and repeated at the sub-component level. It was found that out of the top ten sub-components that were ranked with high modularisation priority, nine are sub-components of the top three components prioritised for modularisation when the analysis was done at the component level. This suggests that the method can produce consistent results over different levels of modelling granularity.

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A method to assess the effects of engineering change propagation

Cited by 125 publications

References 40 publications

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

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

A simulation-based method to evaluate the impact of product architecture on product evolvability

Using engineering change forecast to prioritise component modularisation

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