Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis

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Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis. / Miklautsch, Philipp; Hoffelner, Mario; Woschank, Manuel.
Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France. 2022. S. 1485–1492.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Konferenzband

Harvard

Miklautsch, P, Hoffelner, M & Woschank, M 2022, Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis. in Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France. S. 1485–1492. https://doi.org/10.1016/j.ifacol.2022.09.600

APA

Miklautsch, P., Hoffelner, M., & Woschank, M. (2022). Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis. In Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France (S. 1485–1492) https://doi.org/10.1016/j.ifacol.2022.09.600

Vancouver

Miklautsch P, Hoffelner M, Woschank M. Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis. in Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France. 2022. S. 1485–1492 doi: 10.1016/j.ifacol.2022.09.600

Author

Miklautsch, Philipp ; Hoffelner, Mario ; Woschank, Manuel. / Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis. Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France. 2022. S. 1485–1492

Bibtex - Download

@inproceedings{8f52f58141c0427b874b5d888986628a,
title = "Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis",
abstract = "One of the major challenges for manufacturing companies is finding opportunities to implement green and transparent operational processes to meet a set of macro-economic targets which are defined in strategic initiatives such as the 2030 Agenda for Sustainable Development, the European Green Deal, and the Paris Agreement. Although, in this context, Life Cycle Assessment (LCA) has become established as a common method for assessing the environmental impact of products or processes, in practice problems often arise due to a large amount of data and information to be processed and the resources required. In this regard, recent Industry 4.0 technologies can be seen as a potential enabler of an automated “smart” life cycle assessment in manufacturing companies. Therefore, this paper systematically reviews the current literature on “smart” LCA implementations and presents a comprised overview of the generic properties of “smart” LCA implementations using a general morphological analysis. The research results of this paper can be used for the further development of a “smart” LCA for science and practical applications, as well.",
author = "Philipp Miklautsch and Mario Hoffelner and Manuel Woschank",
year = "2022",
month = jun,
day = "22",
doi = "10.1016/j.ifacol.2022.09.600",
language = "English",
pages = "1485–1492",
booktitle = "Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Harmonizing “Smart” Life Cycle Assessment in Manufacturing Companies: Literature Review and Preliminary Morphological Analysis

AU - Miklautsch, Philipp

AU - Hoffelner, Mario

AU - Woschank, Manuel

PY - 2022/6/22

Y1 - 2022/6/22

N2 - One of the major challenges for manufacturing companies is finding opportunities to implement green and transparent operational processes to meet a set of macro-economic targets which are defined in strategic initiatives such as the 2030 Agenda for Sustainable Development, the European Green Deal, and the Paris Agreement. Although, in this context, Life Cycle Assessment (LCA) has become established as a common method for assessing the environmental impact of products or processes, in practice problems often arise due to a large amount of data and information to be processed and the resources required. In this regard, recent Industry 4.0 technologies can be seen as a potential enabler of an automated “smart” life cycle assessment in manufacturing companies. Therefore, this paper systematically reviews the current literature on “smart” LCA implementations and presents a comprised overview of the generic properties of “smart” LCA implementations using a general morphological analysis. The research results of this paper can be used for the further development of a “smart” LCA for science and practical applications, as well.

AB - One of the major challenges for manufacturing companies is finding opportunities to implement green and transparent operational processes to meet a set of macro-economic targets which are defined in strategic initiatives such as the 2030 Agenda for Sustainable Development, the European Green Deal, and the Paris Agreement. Although, in this context, Life Cycle Assessment (LCA) has become established as a common method for assessing the environmental impact of products or processes, in practice problems often arise due to a large amount of data and information to be processed and the resources required. In this regard, recent Industry 4.0 technologies can be seen as a potential enabler of an automated “smart” life cycle assessment in manufacturing companies. Therefore, this paper systematically reviews the current literature on “smart” LCA implementations and presents a comprised overview of the generic properties of “smart” LCA implementations using a general morphological analysis. The research results of this paper can be used for the further development of a “smart” LCA for science and practical applications, as well.

U2 - 10.1016/j.ifacol.2022.09.600

DO - 10.1016/j.ifacol.2022.09.600

M3 - Conference contribution

SP - 1485

EP - 1492

BT - Proceedings of the 10th IFAC Conference on Manufacturing Modelling, Management and Control, June 22-24, 2022, Nantes, France

ER -