Data-driven through-life costing to support product lifecycle management solutions in innovative product development

Cheung, Wai Ming; Mileham, A R; Newnes, Linda; Marsh, Robert; Lanham, John

doi:10.1504/ijplm.2011.043184

Cited by 4 publications

(4 citation statements)

References 24 publications

(16 reference statements)

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“…However, despite this early interest on DDD and some scattered contribution along the years (e.g. Rönher et al, 2010;Cheung et al, 2011), the research focus on DDD has radically increasing in the last four year as evident in Figure 2 (it has to be noted that the figure shows partial data for the year 2019). It is of particular interest to highlight the increased efforts in developing processes and framework for DDD in the last years (the green area in Figure 2), while the research focus on DDD for system-level design and detailed design shows to be quite stable in the last ten years.…”

Section: Results From the Reviewmentioning

confidence: 99%

Data-Driven Design in Concept Development: Systematic Review and Missed Opportunities

Bertoni

2020

Proc. Des. Soc.: Des. Conf.

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The paper presents a systematic literature review investigating definitions, uses, and application of data-driven design in the concept development process. The analysis shows a predominance of the use of text mining techniques on social media and online reviews to identify customers’ needs, not exploiting the opportunity granted by the increased accessibility of IoT in cyber-physical systems. The paper argues that such a gap limits the potential of capturing tacit customers’ needs and highlights the need to proactively plan and design for a transition toward data-driven design.

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Section: Results From the Reviewmentioning

confidence: 99%

Data-Driven Design in Concept Development: Systematic Review and Missed Opportunities

Bertoni

2020

Proc. Des. Soc.: Des. Conf.

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“…The closet studies available in the literature for comparison are Kabir et al (2012) and Ardente et al (2008), however, both studies used the LCA technique to measure existing wind farms with small scale wind turbines (100 kW and 660 kW) and are focused on energy requirement and environmental impact analyses. Furthermore, LCA requires detailed and historical data to measure existing wind farms' performances which is difficult at the early design stage when there is very little concrete information and data available (Cheung et al, 2011). Nevertheless, the advantages of the LCA approach do come with uncertainty analysis and ecological footprint evaluation (Tait and Cheung, 2016).…”

Section: Discussionmentioning

confidence: 99%

Development of a quantitative analysis system for greener and economically sustainable wind farms

Simons

Cheung

2016

Journal of Cleaner Production

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“…Based on the result of the literature, a novel method for early design analysis of carbon emissions, energy and costs of horizontalaxis wind turbines has been developed and is discussed in the next section. This method utilized an insufficient statistically significant data approach for the early stages of product development process (Cheung et al 2011). …”

Section: Related Literaturementioning

confidence: 99%

Towards greener horizontal-axis wind turbines: analysis of carbon emissions, energy and costs at the early design stage

Aso

Cheung

2015

Journal of Cleaner Production

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This paper describes the development of a quantitative analysis system as a platform for rapidly estimate energy, costs and carbon emission to facilitate the comparison of different wind turbine concept designs. This system aimed specifically at wind turbine manufacturing processes due to the fact that a large proportion of the environmental, costs and energy impacts would occur at this stage. The proposed method supports an initial assessment of multiple design concepts which allows the selection and development of a "greener" wind turbine. The developed system enables concept design of commercial wind turbine towers of hub heights between 44 to 135 m. The method supports an accurate estimation in regards to the dimension, energy consumed, maximum power output, costs and carbon emission in the early design phases of a wind turbine. As a result of the development, the proposed approach could potentially be used to minimise the carbon footprints of major engineering projects such as wind farms. Keywords

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Data-driven through-life costing to support product lifecycle management solutions in innovative product development

Cited by 4 publications

References 24 publications

Data-Driven Design in Concept Development: Systematic Review and Missed Opportunities

Data-Driven Design in Concept Development: Systematic Review and Missed Opportunities

Development of a quantitative analysis system for greener and economically sustainable wind farms

Towards greener horizontal-axis wind turbines: analysis of carbon emissions, energy and costs at the early design stage

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