Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Environmental impacts from conventional and digital dental crown fabrication workflows: A comparative life cycle assessment.

Dental materials : official publication of the Academy of Dental Materials·2026
Same author

Transforming US agriculture for carbon removal with enhanced weathering.

Nature·2025
Same author

Multi-layer laser cutting of electrical steel sheets applied to electric machine laminations.

PloS one·2023
Same author

A comparative life cycle assessment of dental restorative materials.

Dental materials : official publication of the Academy of Dental Materials·2022
Same author

Modelled optimisation approaches for laser cutting sheets simultaneously applied to EV component production.

PloS one·2022
Same author

Photocatalytic Reduction of CO<sub>2</sub> to CO in Aqueous Solution under Red-Light Irradiation by a Zn-Porphyrin-Sensitized Mn(I) Catalyst.

Inorganic chemistry·2022

Related Experiment Video

Updated: Jun 23, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Deriving proxy life cycle assessment datasets for manufacturing machines through data clustering.

Nathan Dodd1, Lenny Koh2, Rachael Rothman1

  • 1The University of Sheffield School of Chemical, Materials & Biological Engineering, Mappin Street, Sheffield, S1 3JD UK.

The International Journal, Advanced Manufacturing Technology
|June 22, 2026
PubMed
Summary

This study introduces generalized proxy datasets for manufacturing machines to simplify Life Cycle Assessments (LCAs). These clusters offer practical tools for early-stage sustainability decisions when detailed data is unavailable.

Keywords:
CategorisationLife cycle assessmentMachinesSimplified methodologyTools

Related Experiment Videos

Last Updated: Jun 23, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
05:47

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Area of Science:

  • Industrial Ecology
  • Manufacturing Sustainability
  • Environmental Management

Background:

  • Life Cycle Assessments (LCAs) for manufacturing machines are crucial but data-intensive.
  • Existing LCA methods face challenges with data accessibility and time constraints.
  • Identifying environmental hotspots in machine lifecycles is vital for improvement strategies.

Purpose of the Study:

  • To investigate clustering heterogeneous LCA data for manufacturing machines.
  • To develop generalized proxy datasets from clustered LCA information.
  • To evaluate the utility of these proxy datasets for screening-level LCAs and decision-making.

Main Methods:

  • Clustering of heterogeneous life cycle assessment (LCA) inventory and impact data for manufacturing machines.
  • Development of three generalized proxy LCA categories based on machine similarities.
  • Validation of proxy datasets against individual ecoinvent datasets.

Main Results:

  • Meaningful clusters were identified, enabling the creation of generalized proxy LCA datasets.
  • The proxy datasets provide a practical tool for estimating life cycle impacts, especially with limited data.
  • Validation confirmed reasonable accuracy for exploratory and screening applications.

Conclusions:

  • Generalized proxy LCA datasets streamline sustainability decision-making in manufacturing.
  • These datasets support early-stage assessments but do not replace detailed LCAs.
  • Future enhancements include real-time data integration and machine learning for dynamic impact estimation.