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Automated Robotic Liquid Handling Assembly of Modular DNA Devices
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Prototypes for automating product system model assembly.

Brandon Kuczenski1, Chris Mutel2, Michael Srocka3

  • 1GDIT, Santa Barbara, CA, USA.

The International Journal of Life Cycle Assessment
|May 21, 2021
PubMed
Summary
This summary is machine-generated.

Automating the creation of product system models (PSM) from primary data and linking it to background life cycle inventory (LCI) data is now achievable. This study developed complementary software prototypes to advance automated PSM construction for LCA software.

Keywords:
BackgroundForegroundHackathonLinkingProduct system modelSoftware

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Area of Science:

  • Life Cycle Assessment (LCA) Software Development
  • Sustainable Manufacturing and Product Design
  • Environmental Systems Analysis

Background:

  • Increasing availability of Life Cycle Inventory (LCI) data presents challenges in integrating it with primary data.
  • Automating the creation of foreground LCI and linking it to background data is crucial for efficient Product System Model (PSM) construction.
  • Reducing practitioner burden and bias in PSM development is a key objective.

Purpose of the Study:

  • To automate the generation of foreground LCI from primary data (Bill of Materials - BOM).
  • To develop methods for linking foreground LCI data to background LCI datasets.
  • To construct operable Product System Models (PSM) for Life Cycle Assessment (LCA) software.

Main Methods:

  • Commissioned three experienced LCA software developers to independently create software prototypes.
  • Prototypes were designed to convert a confidential product specification (BOM) into a foreground model and link it to background datasets.
  • Comparative testing and evaluation of prototype functionalities with additional product specifications were performed.

Main Results:

  • Three distinct approaches were developed: semantic similarity for dataset matching, flexible model structure for aggregation, and interactive web application for component classification and linking.
  • Each prototype addressed different steps in automated PSM construction, demonstrating complementary functionalities.
  • The developed prototypes advanced the state-of-the-art in LCA software for automated PSM generation.

Conclusions:

  • Automated Product System Model (PSM) construction is a tractable problem, advancing LCA software capabilities.
  • Four key steps in automation were identified: foreground model creation, flow property determination, background data linking, and model output formatting.
  • While automation is advanced, manual input remains necessary, particularly for product flow descriptions sourced from background datasets.