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

Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

29
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
29
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

77
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
77
Typical Model Studies01:30

Typical Model Studies

340
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
340

You might also read

Related Articles

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

Sort by
Same author

A Data-Driven Framework for Team Formation for Maintenance Tasks.

International journal of prognostics and health management·2026
Same author

Technical Language Processing: Unlocking Maintenance Knowledge.

Manufacturing letters·2026
Same author

Prognostics and Health Management to Improve Resilient Manufacturing.

Smart and sustainable manufacturing systems·2026
Same author

Rethinking Maintenance Terminology for an Industry 4.0 Future.

International journal of prognostics and health management·2025
Same author

Understanding sustainability data through unit manufacturing process representations: a case study on stone production.

Procedia CIRP·2024
Same author

Drilling down on Smart Manufacturing -- Enabling Composable Apps.

Manufacturing letters·2024
Same journal

Design and Fabrication of In-House Nozzle System to Extrude Multi-Hydrogels for 3D Bioprinting Process.

Journal of manufacturing science and engineering·2025
Same journal

An Experimental Study of Incremental Buckling-Resistant Inchworm-Type Insertion of Microwire Neural Electrodes.

Journal of manufacturing science and engineering·2025
Same journal

Deposition Volume Compensation for Enhanced Shape Fidelity in Nested Printing.

Journal of manufacturing science and engineering·2025
Same journal

Integrating Decision Trees and Clustering for Efficient Optimization of Bioink Rheology and 3D Bioprinted Construct Microenvironments.

Journal of manufacturing science and engineering·2025
Same journal

Data-Driven Optimization of Bioink Formulations for Extrusion-Based Bioprinting: A Predictive Modeling Approach.

Journal of manufacturing science and engineering·2025
Same journal

Where do we start? Guidance for technology implementation in maintenance management for manufacturing.

Journal of manufacturing science and engineering·2024
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.4K

Towards Standards-Based Generation of Reusable Life Cycle Inventory Data Models for Manufacturing Processes.

Michael P Brundage1, David Lechevalier2, K C Morris1

  • 1National Institute of Standards and Technology Systems Integration Division Gaithersburg, MD 20814.

Journal of Manufacturing Science and Engineering
|October 25, 2024
PubMed
Summary
This summary is machine-generated.

This study explores using ASTM standards to create better Life Cycle Inventory (LCI) data for environmental impact assessments. It maps ASTM data to the ecoSpold2 format, improving Life Cycle Assessment (LCA) accuracy.

More Related Videos

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.5K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

709

Related Experiment Videos

Last Updated: Jun 9, 2025

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion
08:29

An Open Source Technology Platform to Manufacture Hydrogel-Based 3D Culture Models in an Automated and Standardized Fashion

Published on: March 31, 2022

4.4K
A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

7.5K
Surrogate Model Development for Digital Experiments in Welding
09:17

Surrogate Model Development for Digital Experiments in Welding

Published on: March 28, 2025

709

Area of Science:

  • Environmental Science
  • Industrial Ecology
  • Sustainable Manufacturing

Background:

  • Product life cycle assessment (LCA) relies on accurate Life Cycle Inventory (LCI) data.
  • Current LCI data often lacks detail and accuracy for manufacturing processes.
  • Manufacturing research aims to improve environmental impact modeling and reduction.

Purpose of the Study:

  • To investigate the usability of ASTM E3012-16 for generating LCI datasets.
  • To map ASTM standard data to the ecoSpold2 format for LCA.
  • To identify overlaps and gaps between ASTM and ecoSpold2 standards.

Main Methods:

  • Developing a process to generate LCI datasets from ASTM models.
  • Mapping data from the ASTM E3012-16 format to the ecoSpold2 format.
  • Comparative analysis of the two data standards.

Main Results:

  • A methodology for converting ASTM data to ecoSpold2 was established.
  • Key overlaps and discrepancies between the ASTM and ecoSpold2 formats were identified.
  • The potential for enhanced LCI data generation was demonstrated.

Conclusions:

  • The ASTM E3012-16 standard can be utilized to generate LCI datasets for LCA.
  • Mapping to ecoSpold2 enhances the reusability and accuracy of manufacturing impact data.
  • Further work is needed to fully reconcile the two standards for comprehensive LCA.