A method for identification of automation potential through modelling of engineering processes and quantification of information waste

Verhagen, Wim J. C.; Vrught, Bastiaan de; Schut, Jan H.; Curran, Richard

doi:10.1016/j.aei.2015.03.003

Cited by 22 publications

(20 citation statements)

References 19 publications

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“…Although the approach presents a valid systematic for justification of design automation implementation, it lacks details on identification of opportunities and definition of appropriate metrics for potential estimation. Building upon this approach, Verhagen et al (2015) propose to analyse engineering processes with respect to information flows. Thereby, (design) automation potential is quantified based on assessment of information waste in product development.…”

Section: Methods For Estimation Of Design Automation Potentialmentioning

confidence: 99%

Estimating the Impact of Design Automation: The Influence of Knowledge on Potential Estimation

Rigger

Lutz

Shea

et al. 2019

Proc. Int. Conf. Eng. Des.

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Assessing the impact of design automation on design practice prior to its implementation is difficult and subject to uncertainties. One reason for this is the designers' lack of knowledge about design automation. In this work, an industrial case study focusing on conceptual design of hydraulic circuits is conducted to assess the impact of the designers' knowledge on design automation potential estimation. In particular, the impact of demonstrating a prototypical implementation of a design automation application is investigated as a means to enhance the designers' knowledge about design automation. In this respect, a given set of metrics is rated twice to enable a comparative study: prior to and after introducing the design automation prototype. The yielded results show that the knowledge impacts the rating and supports reliability of potential estimation. Further, it is shown that designers acknowledge design automation potential for the early stages of design given sufficient knowledge about design automation. Yet, the results also indicate that careful attention needs to be put on the aspects covered by the prototype in order to avoid biasing participants.

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Section: Methods For Estimation Of Design Automation Potentialmentioning

confidence: 99%

Estimating the Impact of Design Automation: The Influence of Knowledge on Potential Estimation

Rigger

Lutz

Shea

et al. 2019

Proc. Int. Conf. Eng. Des.

View full text Add to dashboard Cite

show abstract

“…Some guidelines on identification and justification are available (Stokes and Consortium, 2001;Emberey et al, 2007;van der Velden et al, 2012), but they are solely qualitative in nature, tend to focus on technological aspects, and are rarely and inconsistently applied (Verhagen et al, 2012), so not widely perceived to be useful. Verhagen et al (2015) introduce a method for the identification and justification of DA opportunities through quantification of information waste. The method is the first detailed approach to objectively quantify automation opportunities for life cycle engineering tasks.…”

Section: Identification Of Design Automation Potential and Industrialmentioning

confidence: 99%

Potential identification and industrial evaluation of an integrated design automation workflow

Entner¹,

Prante²,

Vosgien³

et al. 2019

JEDT

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Purpose The paper aims to raise awareness in the industry of design automation tools, especially in early design phases, by demonstrating along a case study the seamless integration of a prototypically implemented optimization, supporting design space exploration in the early design phase and an in operational use product configurator, supporting the drafting and detailing of the solution predominantly in the later design phase. Design/methodology/approach Based on the comparison of modeled as-is and to-be processes of ascent assembly designs with and without design automation tools, an automation roadmap is developed. Using qualitative and quantitative assessments, the potentials and benefits, as well as acceptance and usage aspects, are evaluated. Findings Engineers tend to consider design automation for routine tasks. Yet, prototypical implementations support the communication and identification of the potential for the early stages of the design process to explore solution spaces. In this context, choosing from and interactively working with automatically generated alternative solutions emerged as a particular focus. Translators, enabling automatic downstream propagation of changes and thus ensuring consistency as to change management were also evaluated to be of major value. Research limitations/implications A systematic validation of design automation in design practice is presented. For generalization, more case studies are needed. Further, the derivation of appropriate metrics needs to be investigated to normalize validation of design automation in future research. Practical implications Integration of design automation in early design phases has great potential for reducing costs in the market launch. Prototypical implementations are an important ingredient for potential evaluation of actual usage and acceptance before implementing a live system. Originality/value There is a lack of systematic validation of design automation tools supporting early design phases. In this context, this work contributes a systematically validated industrial case study. Early design-phases-support technology transfer is important because of high leverage potential.

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“…Product configuration systems (PCS) are expert systems that support product customisation by defining how predefined entities (physical or non-physical) and their properties (fixed or variable) can be combined [1]. Automation of engineering processes is increasingly prevalent in multiple lifecycle phases such as design, manufacturing and service support [2]. Widely used in various industries, PCS can bring substantial benefits, such as shorter lead times for generating quotations, fewer errors, increased ability to meet customers' requirements regarding product functionality, the use of fewer resources, optimised product designs, less routine work and improved on-time delivery [3,4,5,6,7].…”

Section: Introductionmentioning

confidence: 99%

The documentation of product configuration systems: A framework and an IT solution

Shafiee

Hvam

Haug

et al. 2017

Advanced Engineering Informatics

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A method for identification of automation potential through modelling of engineering processes and quantification of information waste

Cited by 22 publications

References 19 publications

Estimating the Impact of Design Automation: The Influence of Knowledge on Potential Estimation

Estimating the Impact of Design Automation: The Influence of Knowledge on Potential Estimation

Potential identification and industrial evaluation of an integrated design automation workflow

The documentation of product configuration systems: A framework and an IT solution

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