Challenges and opportunities of automated data pipelines for environmental sustainability applications in industrial manufacturing

Thomas Schmitt*, Ronal Bejarano Rodriguez, Carla Assuad

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

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Abstract

Energy efficiency analyses and life cycle assessments are two examples of data-driven applications focused on environmental sustainability in the industrial manufacturing context. Both use methodologies based on aggregating operational data, extracted from multiple data sources along a value chain. However, the possibility to source, utilize, and share data is often obstructed by heterogeneous or non-transparent data operations across organizations, as well as poor availability of digital interfaces for data collection. In practice, the underlying application processes lack fidelity and granularity, as a trade-of to simplify the modeling and data collection tasks. Therefore, new opportunities arise for automated workflows on data collection (data pipelines) as a relevant component of every digital transformation strategy. This study reflects on the challenges experienced by two industrial actors collecting operational data for an energy efficiency analysis and a Life-cycle Assessment (LCA), each with a different manufacturing context and architectural approach. Finally, it presents the opportunities for new technologies at affordable costs that potentially ease the development and operation of data pipelines to solve such challenges.

Original languageEnglish
Pages (from-to)623-628
Number of pages6
JournalProcedia CIRP
Volume122
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Conference publication
EventCIRP Conference on Life Cycle Engineering - Turin, Italy
Duration: 19 Jun 202421 Jun 2024

Keywords

  • data pipelines
  • digitalization
  • energy efficiency
  • environmental sustanibility
  • life cycle analysis

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