ÌÇÐÄVolg

Recherche et publications

• Publications
  30 publications

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  Match Communications in Mathematical and in Computer Chemistry (2025) | Article

  
  Narmina Baghirova, Clément Dallard, Bernard Ries, David Schindl, Discrete Applied Mathematics (2024) | Article

  
  Antoine Legrain, Vera Fischer, David Schindl (2024) | Chapitre de livre

  
  David Schindl, Narmina Baghirova, Carolina Lucía Gonzalez, Bernard Ries, (2022) | Article

  
  David Schindl, Narmina Baghirova, Carolina Lucía Gonzalez, Bernard Ries, (2022) | Article

  
  Baghirova, N. and Dallard, C. and Ries, B. and Schindl, D. , arXiv (2022) | Autre

  
  Deniz, Zakir; Nivelle, Simon; Ries, Bernard; Schindl, David (Cham : Springer, 2020: LATIN 2020: theoretical informatics, 2020) | Livre

  
  David Schindl, Annals of Operations Research (2019) | Article

  
  Deniz, Zakir, Schindl, David, Ries, Bernard, Nivelle, Simon, Lecture Notes in Computer Science (2018) | Article

  
  Varone, Sacha, Schindl, David, Milanic, Martin, Bertazzi, Luca, Archetti, Claudia, Discrete Applied Mathematics (2018) | Article

  
  Schindl, D., PATAT 2016 - Proceedings of the 11th International Conference on the Practice and Theory of Automated Timetabling: (2016) | °ä´Ç²Ô´Úé°ù±ð²Ô³¦±ð

  
  Schindl, David, Zufferey, Nicolas, Communications in Computer and Information Science (2015) | Article

  
  Zufferey, Nicolas, Schindl, David, Naval Research Logistics (NRL) (2015) | Article

  
  Hertz, A. and Marcotte, O. and Schindl, D., Yugoslav Journal of Operations Research (2014) | Article

  
  Zufferey, Nicolas, Schindl, David, INFOR: Information Systems and Operational Research (2013) | Article

  
  Varone, S. and Schindl, D., ICORES 2013 - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems: (2013) | °ä´Ç²Ô´Úé°ù±ð²Ô³¦±ð

  
  Schindl, David and Zufferey, Nicolas (Genève: HEC, 2013) | Livre

  
  Schindl, David, Labarthe, Olivier, Zufferey, Nicolas, Computational Optimization and Applications (2012) | Article

  
  Schindl, David and Zufferey, Nicolas (Genève: HEC, 2012) | Livre

  
  Schindl, D., Zufferey, N., Plumettaz, M., Journal of the Operational Research Society (2010) | Article

  
  Hertz, Alain, Zufferey, Nicolas, Schindl, David, Journal of Heuristics (2009) | Article

  
  Schindl, D., Labbe, M., Hansen, P., Discrete Optimization (2009) | Article

  
  Schindl, David, Marcotte, Odile, Kilani, Rim, Hertz, Alain, Hansen, Pierre, Journal of Graph Theory (2009) | Article

  
  Hertz, Alain; Schindl, David; Zufferey, Nicolas (Norwell, Mass. [u.a.] : Springer Science + Business Media, 1995: Journal of heuristics, 2009) | Livre

  
  de Werra, D, Schindl, D, Bornand-Jaccard, T, Discrete Applied Mathematics (2006) | Article

  
  Schindl, D, Picouleau, C, de Werra, D, Costa, MC, Discrete Applied Mathematics (2005) | Article

  
  Schindl, D, Discrete Mathematics (2005) | Article

  
  Hertz, A. and Schindl, D. and Zufferey, N., 4OR (2005) | Article

  
  Schindl, D, Hertz, A, Gerber, MU, Discrete Applied Mathematics (2003) | Article

  
  Schindl, D, Lozin, V, Hertz, A, Information Processing Letters (2003) | Article

• Projets de recherche

  Efficient and sustainable waste collection
  Statut: Terminé

  ¶Ùé²ú³Ü³Ù	01.09.2019
  Fin	31.08.2022
  Financement	Innovation
  In Swiss municipalities, a curbside system is often used to collect the non-recoverable solid waste. In principle, the trucks stop at every household for the collection. Due to the many stops of the heavy trucks, this classic strategy causes high fuel consumption, emissions and noise. The objective of this project is to improve the municipal solid waste collection process by designing efficient and sustainable waste collection strategies targeted to the needs of the municipalities. This objective is pursued through the following three components. First, new waste collection concepts are proposed using modern physical waste collection elements, such as electric vehicles and containers with compressors. For example, small, agile vehicles may bring the garbage bags to larger containers in intermediate depots and large vehicles may then regularly discharge these containers. Second, mathematical models and optimization algorithms are developed for deciding how to design a waste collection concept for a given municipality in the best possible way. Typical decisions are about the locations of the waste collection points, the types of vehicles used to collect the waste at all collection points and the routing of each vehicle. Third, an interactive decision support tool is developed. It enables to specify the inputs, such as the street network and the waste quantities, and to display the results of the optimization algorithms for all alternatives. This tool will help the decision-makers to choose the best waste collection concept for their municipality.

Enseignement et cours

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