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Computational modeling of material flow networks

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Standard

Computational modeling of material flow networks. / Moeller, Andreas.
ICT Innovations for Sustainability. ed. / Lorenz M. Hilty; Bernard Aebischer. Vol. 310 Springer International Publishing AG, 2015. p. 301-311 (Advances in Intelligent Systems and Computing; Vol. 310).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Harvard

Moeller, A 2015, Computational modeling of material flow networks. in LM Hilty & B Aebischer (eds), ICT Innovations for Sustainability. vol. 310, Advances in Intelligent Systems and Computing, vol. 310, Springer International Publishing AG, pp. 301-311. https://doi.org/10.1007/978-3-319-09228-7_18

APA

Moeller, A. (2015). Computational modeling of material flow networks. In L. M. Hilty, & B. Aebischer (Eds.), ICT Innovations for Sustainability (Vol. 310, pp. 301-311). (Advances in Intelligent Systems and Computing; Vol. 310). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-09228-7_18

Vancouver

Moeller A. Computational modeling of material flow networks. In Hilty LM, Aebischer B, editors, ICT Innovations for Sustainability. Vol. 310. Springer International Publishing AG. 2015. p. 301-311. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-09228-7_18

Bibtex

@inbook{3ed17f701e494661a1ed7b60c8bea07c,
title = "Computational modeling of material flow networks",
abstract = "Material Flow Networks (MFN) are a modeling instrument in the field of material flow analysis (MFA) that helps to characterize current or future material and energy flows and stocks. Often, efficiency analyses such as life cycle assessments and cost accounting use such models to calculate the relationship between positive outcomes and negative impacts. The systematic integration of stocks makes it possible to analyze infrastructures that provide services, which is necessary in order to assess the effects of replacing material goods by services. The first part of this paper outlines Material Flow Networks as a period-oriented accounting system that systematically integrates stock and flow accounting. The second part is concerned with the question of how to construct the models and calculate data. From this perspective, the instrument becomes a modeling framework.",
keywords = "Accounting, Dynamic material flow analysis, M Steady-state modeling, Material flow network, Process flowsheeting, Sustainability sciences, Communication",
author = "Andreas Moeller",
year = "2015",
doi = "10.1007/978-3-319-09228-7_18",
language = "English",
isbn = "978-3-319-09227-0",
volume = "310",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer International Publishing AG",
pages = "301--311",
editor = "Hilty, {Lorenz M.} and Bernard Aebischer",
booktitle = "ICT Innovations for Sustainability",
address = "Switzerland",

}

RIS

TY - CHAP

T1 - Computational modeling of material flow networks

AU - Moeller, Andreas

PY - 2015

Y1 - 2015

N2 - Material Flow Networks (MFN) are a modeling instrument in the field of material flow analysis (MFA) that helps to characterize current or future material and energy flows and stocks. Often, efficiency analyses such as life cycle assessments and cost accounting use such models to calculate the relationship between positive outcomes and negative impacts. The systematic integration of stocks makes it possible to analyze infrastructures that provide services, which is necessary in order to assess the effects of replacing material goods by services. The first part of this paper outlines Material Flow Networks as a period-oriented accounting system that systematically integrates stock and flow accounting. The second part is concerned with the question of how to construct the models and calculate data. From this perspective, the instrument becomes a modeling framework.

AB - Material Flow Networks (MFN) are a modeling instrument in the field of material flow analysis (MFA) that helps to characterize current or future material and energy flows and stocks. Often, efficiency analyses such as life cycle assessments and cost accounting use such models to calculate the relationship between positive outcomes and negative impacts. The systematic integration of stocks makes it possible to analyze infrastructures that provide services, which is necessary in order to assess the effects of replacing material goods by services. The first part of this paper outlines Material Flow Networks as a period-oriented accounting system that systematically integrates stock and flow accounting. The second part is concerned with the question of how to construct the models and calculate data. From this perspective, the instrument becomes a modeling framework.

KW - Accounting

KW - Dynamic material flow analysis

KW - M Steady-state modeling

KW - Material flow network

KW - Process flowsheeting

KW - Sustainability sciences, Communication

UR - http://www.scopus.com/inward/record.url?scp=84927621774&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-09228-7_18

DO - 10.1007/978-3-319-09228-7_18

M3 - Article in conference proceedings

AN - SCOPUS:84927621774

SN - 978-3-319-09227-0

VL - 310

T3 - Advances in Intelligent Systems and Computing

SP - 301

EP - 311

BT - ICT Innovations for Sustainability

A2 - Hilty, Lorenz M.

A2 - Aebischer, Bernard

PB - Springer International Publishing AG

ER -

Other publications by the same author(s)

Enabling the identification of industrial symbiosis (IS) through information communication technology (ICT)

Lütje, A., Willenbacher, M., Möller, A. & Wohlgemuth, V., 08.01.2019, Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. Bui, T. X. (ed.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 709-719 11 p. (Proceedings of the Annual Hawaii International Conference on System Sciences; vol. 2019-January).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Sustainable Development and Material Flows

John, B., Möller, A. & Weiser, A., 01.2016, Sustainability Science: An Introduction. Heinrichs, H., Martens, P., Michelsen, G. & Wiek, A. (eds.). Dordrecht: Springer Netherlands, p. 219-230 12 p.

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Research › peer-review

Zwecke von betrieblichen Umweltinformationssystemen im Rahmen einer nachhaltigen Entwicklung

Moeller, A., 2015, 45. Jahrestagung der Gesellschaft f�r Informatik - INFORMATIK 2015: Informatik, Energie und Umwelt, Proceedings. Cunningham, D. W., Hofstedt, P., Schmitt, I. & Meer, K. (eds.). Bonn: Gesellschaft für Informatik e.V., p. 281-290 10 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. 246).

Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

Dialektik der Umweltinformatik

Möller, A. & Hedemann, J., 2014, Umweltinformatik: Einblick in drei Jahrzehnte der Entwicklung einer Wissenschaftsdisziplin, Festschrift zur Pensionierung von Prof. Dr.-Ing. Bernd Page. Wohlgemuth, V., Voigt, K. & Pillmann, W. (eds.). 1 ed. Aachen: Shaker Verlag, p. 31-40 10 p. 4

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Transfer

Kommunikation, Partizipation und digitale Medien: Digitale Medien

Bollow, E., Faasch, H. & Möller, A., 2014, Nachhaltigkeitswissenschaften. Heinrichs, H. & Michelsen, G. (eds.). Berlin Heidelberg: Springer Spektrum, p. 397-419 23 p.

Research output: Contributions to collected editions/works › Contributions to collected editions/anthologies › Education › peer-review

DOI