Bergische Universität Wuppertal
Fachbereich Mathematik und Naturwissenschaften
Applied and Computational Mathematics

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Mathematische Modellierung und Optimierung einer Kreislaufwirtschaft


Bachelorarbeit Mathematik



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Beschreibung

Ausgehend von einem wohldefinierten Materialfluss- und Wertesystem führen wir eine Metrik in der Kreislaufwirtschaft ein, die sich aus der Maximierung des gesellschaftlichen Werts von Materialien ableitet, die bei der Produktion von Gütern aus dem Dienstleistungsbereich verwendet werden. Diese Metrik kann das Recycling, aber auch alternative Strategien wie die Verlängerung der Lebensdauer und neue Geschäftsmodelle, die die Produktivität von Rohstoffen erhöhen, beschreiben.

Fragestellung

Schlüsselwörter

Recycling, Kreislaufwirtschaft, lineare Wirtschaft, Kreislaufwirtschaftswachstum, Metrik der Kreislaufwirtschaft

Literatur:

  1. C. Anderson, The production process: Inputs and wastes, Journal of Environmental Economics and Managment 14(1) (1987), 1-12.
  2. C. Busu, M. Busu, Modeling the Circular Economy Processes at the EU Level Using an Evaluation Algorithm Based on Shannon Entropy, Processes 6(11) (2018), 225. https://doi.org/10.3390/pr6110225
  3. A.M.A. El Saadany, M.Y. Jaber, A production/remanufacture model with returns’ subassemblies managed differently, International Journal of Production Economics 133(1) (2011), 119-126.
  4. EMF, Circularity indicators: An approach to measuring circularity, Methodology, 2015.
  5. J.F. García-Barragán, J. Eyckmans, S. Rousseau, Defining and Measuring the Circular Economy: A Mathematical Approach, Ecological Economics 157 (2019), 369-372.
  6. M. Haupt, C. Vadenbo, S. Hellweg, Do we have the right performance indicators for the circular economy?: Insight into the swiss waste management system, Journal of Industrial Ecology 21(3) (2016), 615-627.
  7. V. Jayaraman, Production planning for closed-loop supply chains with product recovery and reuse: an analytical approach, International Journal of Production Research 44(5) (2006), 981-998.
  8. J. Jayakumar, K. Jayakrishna, K.E.K. Vimal, S. Hasibuan, Modelling of sharing networks in the circular economy, Journal of Modelling in Management 15(2) (2020), 407-440. https://doi.org/10.1108/JM2-05-2019-0101.
  9. J. Kirchherr, D. Reike, M. Hekkert, Conceptualizing the circular economy: An analysis of 114 definitions, Resources, Conservation and Recycling 127 (2017), 221-232.
  10. F. Krysiak, D. Krysiak, Production, consumption, and general equilibrium with physical constraints, Journal of Environmental Economics and Management 46(3) (2003), 513-538.
  11. M. Linder, S. Sarasini, P. van Loon, A metric for quantifying product-level circularity, Journal of Industrial Ecology 21(3) (2017), 545-558.
  12. V. Moreau, M. Sahakian, P. Griethuysen, V. Francois, Coming full circle: Why social and institutional dimensions matter for the circular economy, Journal of Industrial Ecology 21(3) (2017), 497-506.
  13. Z. Pan, J. Tang, O. Liu, Capacitated dynamic lot sizing problems in closed-loop supply chain European Journal of Operational Research 198(3) (2009), 810-821.
  14. R. Pethig, Non-linear production, abatement, pollution and materials balance reconsidered, Journal of Environmental Economics and Management 51(2) (2006), 185-204.
  15. P. Pineyro, O. Viera, The economic lot-sizing problem with remanufacturing: analysis and an improved algorithm, Journal of Remanufacturing 5 (2015), 1-13.
  16. M. Ramezani, A.M. Kimiagari, B. Karimi, Closed-loop supply chain network design: A financial approach, Applied Mathematical Modelling 38(15-16) (2014), 4099-4119.
  17. A. Tisserant, S. Pauliuk, M. Stefano, et al., Solid waste and the circular economy: A global analysis of waste treatment and waste footprints, Journal of Industrial Ecology 21(3) (2017), 628-640.


University of Wuppertal
Faculty of Mathematics and Natural Sciences
Department of Mathematics
Applied Mathematics & Numerical Analysis Group

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