Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality and Sustainability in 3D Printing Processes

Abstract : As a researcher specializing in additive manufacturing (AM), I have authored this study titled “Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality, and Sustainability in 3D Printing Processes.” The work explores AM’s explosive growth, with the global market at 21.9 billion in 2025, projected to hit USD 647.7 billion by 2035 at a 22-23% CAGR, driven by innovations in materials, AI integration, and applications in aerospace, automotive, and biomedicine. AM transforms traditional manufacturing through on-demand production, waste reduction, and supply chain optimization, supporting circular economy principles via localized fabrication and emission cuts. Utilizing the SALSA methodology, conducted a systematic review of 158 articles (narrowed to 10 key studies from 2015-2025), identifying AM-specific KPIs: efficiency (adapted OEE, varying with build variety); quality (tensile strength up to 55.2 MPa, dimensional deviation 0.048 mm); sustainability (energy consumption, recyclability challenges in PLA/ABS); costs; and delivery times. Limitations include adapting traditional metrics to AM’s anisotropy and variability, plus unstandardized sustainability data. A pilot test on 10 parts across five hypothetical Hidalgo companies yielded averages like 74.4% OEE and 83.9% material efficiency, underscoring AI’s role in optimization. Ultimately, robust KPIs foster informed AM adoption, aligning with a SDGs 9 and 12 for resilient, sustainable industries.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-25
DOI
https://doi.org/10.5281/zenodo.18051523
Primary Topic
Additive Manufacturing and 3D Printing Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality and Sustainability in 3D Printing Processes

Noe Marrón Hernández Uriel, Torres Enrique de Jesús Mohedano, Ramos Domingo Noé Marrón, Escalante Santos Guadalupe León et al.
Zenodo (CERN European Organization for Nuclear Research)
Additive Manufacturing and 3D Printing Technologies
article

Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality and Sustainability in 3D Printing Processes

Noe Marrón Hernández Uriel, Torres Enrique de Jesús Mohedano, Ramos Domingo Noé Marrón, Escalante Santos Guadalupe León, Víctor Olvera Camarillo
article en

Abstract

Abstract : As a researcher specializing in additive manufacturing (AM), I have authored this study titled “Key Performance Indicators (KPIs) in Additive Manufacturing: Evaluation of Efficiency, Quality, and Sustainability in 3D Printing Processes.” The work explores AM’s explosive growth, with the global market at 21.9 billion in 2025, projected to hit USD 647.7 billion by 2035 at a 22-23% CAGR, driven by innovations in materials, AI integration, and applications in aerospace, automotive, and biomedicine. AM transforms traditional manufacturing through on-demand production, waste reduction, and supply chain optimization, supporting circular economy principles via localized fabrication and emission cuts. Utilizing the SALSA methodology, conducted a systematic review of 158 articles (narrowed to 10 key studies from 2015-2025), identifying AM-specific KPIs: efficiency (adapted OEE, varying with build variety); quality (tensile strength up to 55.2 MPa, dimensional deviation 0.048 mm); sustainability (energy consumption, recyclability challenges in PLA/ABS); costs; and delivery times. Limitations include adapting traditional metrics to AM’s anisotropy and variability, plus unstandardized sustainability data. A pilot test on 10 parts across five hypothetical Hidalgo companies yielded averages like 74.4% OEE and 83.9% material efficiency, underscoring AI’s role in optimization. Ultimately, robust KPIs foster informed AM adoption, aligning with a SDGs 9 and 12 for resilient, sustainable industries.

Zenodo (CERN European Organization for Nuclear Research)
Tecnológico Nacional de México (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Additive Manufacturing and 3D Printing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.