Exploring carbon emission reduction through additive manufacturing in EPQ models

Numerous facilities release CO2 in an ostensibly unpredictable way, which is undoubtedly a primary contributor to the anomalous temperatures seen worldwide. In their quest for profit maximization, industrialists often neglect societal and environmental considerations, resulting in severe consequences. This research presents an Economic Production Quantity (EPQ) model that incorporates carbon emissions and explores the potential of additive manufacturing (AM) for sustainable production. Additive manufacturing is often promoted as an environmentally friendly alternative to traditional manufacturing because to its efficient material usage, less waste generation, and lower energy requirements, hence positioning it as a potential method in the reduction of carbon footprints. The model evaluates carbon trading mechanisms, wherein manufacturing facilities benefit from emissions management while facing taxes on emissions that above allowable limits. Additionally, fees for physical damage are charged for any services rendered above the core allowed. The analysis of additive manufacturing within the context of EPQ aims to enhance production efficiency and minimize environmental contamination. Furthermore, forestry activities are seen as an alternative method to mitigate carbon emissions. Examples demonstrate the model's applicability and utility by comparing situations with and without additive manufacturing and tree planting. The findings clearly suggest that additive manufacturing (AM) may favorably contribute to both economic and environmental objectives. Additionally, a comprehensive sensitivity analysis of model parameters, including production rates, emission thresholds, and carbon permit pricing, is conducted to evaluate the model's resilience. The model assists industry practitioners in enhancing production planning procedures and mitigating carbon emissions via the use of contemporary technology.

Authors

Publication Details

Journal
International Journal of Advanced Academic Studies
Published
2025-04-01
DOI
https://doi.org/10.33545/27068919.2025.v7.i4a.1413
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring carbon emission reduction through additive manufacturing in EPQ models

Amit Kumar, Dharmendra Yadav, Ajay Singh Yadav
4 links
International Journal of Advanced Academic Studies
Sustainable Supply Chain Management
article

Exploring carbon emission reduction through additive manufacturing in EPQ models

Amit Kumar, Dharmendra Yadav, Ajay Singh Yadav
article en

Abstract

Numerous facilities release CO2 in an ostensibly unpredictable way, which is undoubtedly a primary contributor to the anomalous temperatures seen worldwide. In their quest for profit maximization, industrialists often neglect societal and environmental considerations, resulting in severe consequences. This research presents an Economic Production Quantity (EPQ) model that incorporates carbon emissions and explores the potential of additive manufacturing (AM) for sustainable production. Additive manufacturing is often promoted as an environmentally friendly alternative to traditional manufacturing because to its efficient material usage, less waste generation, and lower energy requirements, hence positioning it as a potential method in the reduction of carbon footprints. The model evaluates carbon trading mechanisms, wherein manufacturing facilities benefit from emissions management while facing taxes on emissions that above allowable limits. Additionally, fees for physical damage are charged for any services rendered above the core allowed. The analysis of additive manufacturing within the context of EPQ aims to enhance production efficiency and minimize environmental contamination. Furthermore, forestry activities are seen as an alternative method to mitigate carbon emissions. Examples demonstrate the model's applicability and utility by comparing situations with and without additive manufacturing and tree planting. The findings clearly suggest that additive manufacturing (AM) may favorably contribute to both economic and environmental objectives. Additionally, a comprehensive sensitivity analysis of model parameters, including production rates, emission thresholds, and carbon permit pricing, is conducted to evaluate the model's resilience. The model assists industry practitioners in enhancing production planning procedures and mitigating carbon emissions via the use of contemporary technology.

International Journal of Advanced Academic StudiesVol. 7(4)
Openalex Percentile: Top 91%
Sustainable Supply Chain Management
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.