Evidence map›Paper›PMID 40646116›Full record

ArticleScientific reports2025

Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability.

Jayant M Raut, Prashant B Pande, Kamlesh V Madurwar, Rajesh M Bhagat, Satyajit S Uparkar, Nilesh Shelke, Haytham F Isleem, Arpita, Vikrant S Vairagade

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jayant M RautDepartment of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, 441110, India.
Prashant B PandeDepartment of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, 441110, India.
Kamlesh V MadurwarDepartment of Civil Engineering, Priyadarshini Bhagwati College of Engineering, Nagpur, Maharashtra, 440024, India.
Rajesh M BhagatDepartment of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, Maharashtra, 441110, India.
Satyajit S UparkarDepartment of Computer Science and Applications, Ramdeobaba University, Nagpur, Maharashtra, 440013, India.
Nilesh ShelkeSymbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed) University, Pune, Maharashtra, 440008, India.
Haytham F IsleemDepartment of Computer Science, University of York, York, YO10 5DD, UK.
ArpitaDepartment of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India.
Vikrant S VairagadeDepartment of Civil Engineering, Priyadarshini College of Engineering, Nagpur, Maharashtra, 440019, India. vikrant.vairagade@pcenagpur.edu.in.ORCID http://orcid.org/0000-0001-8357-5253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pressing need for sustainable construction materials and processes has been driving research into the optimum environmental and economic efficiency of Additive Manufacturing (AM). Most models available for Life Cycle Assessment (LCA), however, do not capture the dynamism of real-time data and the existing levels of uncertainty, and decision-making frameworks are not adaptive to evolving sets of criteria. In this paper, these described limitations are addressed through the introduction of an integrated approach that couples predictive Life Cycle Assessment (LCA) with Gaussian Process Regression (GPR), dynamic decision criteria weighting via Stochastic Forest for Multi-Criteria Decision Analysis (MCDA), and multi-objective optimization using Particle Swarm Optimization (PSO). In this study, GPR-based predictive LCA is conducted using historical and real-time environmental data for modeling impact categories of CO

Indexed as

Additive manufacturingGaussian process regressionLife cycle assessmentMulti-criteria decision analysisParticle swarm optimizationSustainable construction

Identifiers

PMID40646116
PMCPMC12254387

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.