Using Mixed-Integer Programming for the Optimal Design of Water Supply Networks for Slums

Lea Rausch (), John Friesen (), Lena C. Altherr () and Peter F. Pelz ()
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Lea Rausch: Technische Universität Darmstadt
John Friesen: Technische Universität Darmstadt
Lena C. Altherr: Technische Universität Darmstadt
Peter F. Pelz: Technische Universität Darmstadt

A chapter in Operations Research Proceedings 2017, 2018, pp 509-516 from Springer

Abstract: 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.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-89920-6_68

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DOI: 10.1007/978-3-319-89920-6_68

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