Using mixed-integer programming for the optimal design of water supply networks for slums
- The UN sets the goal to ensure access to water and sanitation for all people by 2030. To address this goal, we present a multidisciplinary approach for designing water supply networks for slums in large cities by applying mathematical optimization. The problem is modeled as a mixed-integer linear problem (MILP) aiming to find a network describing the optimal supply infrastructure. To illustrate the approach, we apply it on a small slum cluster in Dhaka, Bangladesh.
| Author: | Lea Rausch, John Friesen, Lena Altherr, Peter F. Pelz |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-319-89920-6_68 |
| ISBN: | 978-3-319-89919-0 (Print) |
| ISBN: | 978-3-319-89920-6 (Online) |
| Parent Title (English): | Operations Research Proceedings 2017 |
| Publisher: | Springer |
| Place of publication: | Cham |
| Editor: | Natalia Kliewer, Jan Fabian Ehmke, Ralf Borndörfer |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2018 |
| Date of the Publication (Server): | 2021/12/20 |
| First Page: | 509 |
| Last Page: | 516 |
| Note: | International Conference of the German Operations Research Society (GOR), Freie Universiät Berlin, Germany, September 6-8, 2017. |
| Link: | https://doi.org/10.1007/978-3-319-89920-6_68 |
| Zugriffsart: | campus |
| Institutes: | FH Aachen / Fachbereich Elektrotechnik und Informationstechnik |
| collections: | Verlag / Springer |
