TY - JOUR
T1 - Life Cycle Assessment of a Jet Printing and Dispensing Machine
AU - Kokare, Samruddha
AU - Shoaib-Ul-Hasan, Sayyed
AU - Asif, Farazee M.A.
AU - Mårtensson, Gustaf
AU - Svanteson, Kristina
N1 - info:eu-repo/grantAgreement/EC/H2020/101016411/EU#
Funding Information:
This research work was funded by Mycronic AB and was carried out as a collaboration between Mycronic AB and the Department of Production Engineering and Management, KTH Royal Institute of Technology. The authors wish to thank Ms. Lena Båvegård, Mr. Henrik Karlsson, Mr. Peter Björnängen, and the staff of Mycronic AB for their constant support and encouragement in conducting this study. This project has received partial funding from the SOMIRO project within the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101016411. This research was also partially supported by XPRES Centre of Excellence in Production Research at the Department of Production Engineering, KTH Royal Institute of Technology.
Publisher Copyright:
© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2024/3/20
Y1 - 2024/3/20
N2 - Life Cycle Assessment (LCA) is a well-known methodology used to calculate the environmental impacts of a product across its life cycle. The industrial machines used to manufacture consumer products are generally heavy, bulky, and have a complex product structure which makes their environmental assessment using LCA difficult as well as time and resource-intensive. Few studies have conducted LCA of complex industrial machines. The paper presents an LCA of a jet printing and dispensing machine (MY700), an industrial machine used in the production of printed circuit boards (PCBs) carried out using ReCiPe 2016 (Hierarchist) impact assessment methodology. In this study, the use phase of the machine accounted for 91% of the total environmental impacts. The compressed air and electricity consumed in the use phase of the machine were the major environmental hotspots. Additionally, some measures to minimize energy and compressed air use are also discussed. The methodology proposed in this article can be adopted by practitioners to conduct LCA of other industrial machines. The results of this study can help the machine manufacturers to undertake relevant eco-design activities as well as a comparison of different versions/machines in the product family for their environmental impact.
AB - Life Cycle Assessment (LCA) is a well-known methodology used to calculate the environmental impacts of a product across its life cycle. The industrial machines used to manufacture consumer products are generally heavy, bulky, and have a complex product structure which makes their environmental assessment using LCA difficult as well as time and resource-intensive. Few studies have conducted LCA of complex industrial machines. The paper presents an LCA of a jet printing and dispensing machine (MY700), an industrial machine used in the production of printed circuit boards (PCBs) carried out using ReCiPe 2016 (Hierarchist) impact assessment methodology. In this study, the use phase of the machine accounted for 91% of the total environmental impacts. The compressed air and electricity consumed in the use phase of the machine were the major environmental hotspots. Additionally, some measures to minimize energy and compressed air use are also discussed. The methodology proposed in this article can be adopted by practitioners to conduct LCA of other industrial machines. The results of this study can help the machine manufacturers to undertake relevant eco-design activities as well as a comparison of different versions/machines in the product family for their environmental impact.
KW - Industrial machines
KW - Jet Printing and Dispensing
KW - Life Cycle Assessment
KW - Surface Mount Technology
UR - http://www.scopus.com/inward/record.url?scp=85189834408&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2024.01.070
DO - 10.1016/j.procs.2024.01.070
M3 - Conference article
AN - SCOPUS:85189834408
SN - 1877-0509
VL - 232
SP - 708
EP - 718
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023
Y2 - 22 November 2023 through 24 November 2023
ER -