Determining Flood Protection Strategy with Uncertain Parameter Using Adjustable Robust Counterpart Methodology
Author(s) -
Diah Chaerani,
Muttaqien Rodhiya Robbi,
Elis Hertini,
Endang Rusyaman,
Erick Paulus
Publication year - 2020
Publication title -
jurnal ilmu dasar
Language(s) - English
Resource type - Journals
ISSN - 2442-5613
DOI - 10.19184/jid.v21i1.10780
Subject(s) - flood myth , flooding (psychology) , risk analysis (engineering) , computer science , flood control , software , natural disaster , robust optimization , reliability engineering , emergency management , control (management) , mathematical optimization , operations research , engineering , business , mathematics , geography , economics , psychology , archaeology , psychotherapist , programming language , economic growth , artificial intelligence , meteorology
Flooding is a natural disaster that often occurs, it is not surprising that floods are one of the problems that must be resolved in various countries, one of which is Indonesia. Flood is very detrimental to the public because the impact could be the loss of material and non-material. A flood protection system is needed and must be managed properly. This aims in management of flood protection systems often requires efficient cost control strategies that are the lowest possible long-term costs, but still meets the flood protection standards imposed by regulators in all plans. In this paper a flood protection strategy is modeled using Adjustable Robust Optimization. In this approach, there are two kinds of variables that must be decided, i.e., adjustable and non-adjustable variables. A numerical simulation is presented using Scilab Software.
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