A Value Scan Methodology to Improve Industrial Operations

Schut, E.J.; Kosman, S.; Curran, Richard

doi:10.1007/978-1-4471-4426-7_36

Cited by 2 publications

(1 citation statement)

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“…Further, in the work by Pal and Ghosh (2017) and Mulder et al (2015), focus is put on the isolated assessment of the design automation task and related time savings for ROI analysis, rather than its integration in the design process and respective impacts on design performance in general. Taking into account the design process perspective, Schut, Kosman, and Curran (2013) define highlevels objectives regarding cost, time and quality and related Key Performance Indicators (KPI) based on interviews with engineers. Following this, KPI measurements and process analysis with respect to value stream analysis are conducted to prioritize and refine the objectives.…”

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%