Abstract
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.
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Acknowledgements
The authors thank the German Research Foundation (DFG) for funding this research within the Collaborative Research Center SFB 805 “Control of Uncertainties in Load-Carrying Structures in Mechanical Engineering” as well as the KSB Foundation.
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Rausch, L., Friesen, J., Altherr, L.C., Pelz, P.F. (2018). Using Mixed-Integer Programming for the Optimal Design of Water Supply Networks for Slums. In: Kliewer, N., Ehmke, J., Borndörfer, R. (eds) Operations Research Proceedings 2017. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-89920-6_68
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DOI: https://doi.org/10.1007/978-3-319-89920-6_68
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