The Use of Vehicle Data in Adas Development, Verification and Follow-Up on the System

Orlovska, Julia; Wickman, Casper; Söderberg, Rikard

doi:10.1017/dsd.2020.322

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Taking another step forward, Khoshkangini et al (2020) introduce the conceptual view of two machine learning pipelines for predicting individual components' failure/claims. From a comprehensive point of view, Orlovska et al (2020) and Lukačević et al (2022) discuss the benefits and challenges of using operational data in the system evaluation through case study methodology.…”

Section: Assess Predict and Improve The System Performancementioning

confidence: 99%

Four Patterns of Data-Driven Design Activities in New Product Development

Lee

Ahmed‐Kristensen

2023

Proc. Des. Soc.

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In the midst of Industry 4.0 where digitalisation is stimulated through the Internet of Things (IoT), Big Data, and machine learning technologies, an increasing volume of valuable data has been acquired from sensors and interconnected devices. This data-driven paradigm can enable organisations to create new or improved products and services, build long-term customer relationships in a value co-creation manner, adapt to continuous business reconfiguration or address societal challenges such as sustainability. Scientific research addressing Data-driven design has increased steadily in the last few years. However, despite this, there is still a need for a comprehensive understanding of data-driven design processes. Thus, through a systematic literature review, we review the data-driven design activities observed in the new product and service development and types of data utilised in New Product Development (NPD) process. This paper contributes to design research and through reviewing the current landscape of Data-driven design identifies ten data-driven design activities and four-dimensional aspects in NPD process.

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Section: Assess Predict and Improve The System Performancementioning

confidence: 99%