Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Maiolo, Mario; Mendicino, Giuseppe; Pantusa, Daniela; Senatore, Alfonso

doi:10.3390/w9100803

Cited by 37 publications

(19 citation statements)

References 37 publications

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“…Peneliti lain melakukan penelitian mengenai distribusi air minum dengan tujuan memperhitungkan kerugian sumber daya air karena skenario perubahan iklim. Adanya perubahan iklim menyebabkan kebutuhan air minum menjadi meningkat sehingga ketersediaan dan proses distribusinya harus dilakukan secara optimal [4].…”

Section: Pendahuluanunclassified

Optimasi Pendistribusian Barang Farmasi Menggunakan Algoritma Genetika

Ramadhani

Fathurrachman

Fitriawanti

et al. 2018

klik

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Distribution is an activity of distributing goods from factory to agents. Distribution process is considered efficient if the process of distribution of goods done with a minimal distance, so that the time and cost required for the distribution process will also be smaller. Genetic algorithm is used to optimize the pharmaceutical goods distribution process by finding the order of agents that each vehicle must visit during the distribution process. The data used is the cost and distance data between factory and each agent. One-cut point method is used for crossover process, reciprocal exchange method is used for mutation process, and elitism method for selection process. Based on the test result that has been done, the optimal parameters which are used to produce the best solution, such as the population size is 45, the generation number is 70, and the combination of cr and mr is 0.8 and 0.3. By using the best parameters, the resulting fitness value is in the range 0.014909 up to 0.017642. Keywords: Genetic Algorithm, Distribution, Pharmaceutical, Optimization Distribusi merupakan kegiatan menyalurkan barang dari pabrik ke agen. Proses distribusi dianggap efisien jika proses penyaluran barang dilakukan dengan jarak yang minimal, sehingga waktu dan biaya yang dibutuhkan untuk proses distribusi juga akan semakin kecil. Algoritma genetika digunakan untuk melakukan optimasi pada proses distribusi barang farmasi dengan mencari solusi berupa urutan agen yang harus dikunjungi oleh setiap kendaraan saat proses distribusi. Data yang digunakan adalah data biaya dan jarak antara pabrik dengan masing-masing agen. Metode one-cut point digunakan untuk proses crossover, metode reciprocal exchange digunakan untuk proses mutasi, dan metode elitism untuk proses seleksi. Berdasarkan hasil pengujian yang telah dilakukan, parameter optimal yang digunakan untuk menghasilkan solusi terbaik, antara lain ukuran populasi sebanyak 45, generasi sebanyak 70, serta kombinasi cr dan mr yaitu 0.8 dan 0.3. Dengan menggunakan parameter terbaik tersebut, nilai fitness yang dihasilkan berada pada rentang 0.014909 sampai dengan 0.017642. Kata kunci: Algoritma Genetika, Distribusi, Farmasi, Optimasi

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Section: Pendahuluanunclassified

Optimasi Pendistribusian Barang Farmasi Menggunakan Algoritma Genetika

Ramadhani

Fathurrachman

Fitriawanti

et al. 2018

klik

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“…Actually, the management and design of WDN is a recurring problem in hydraulic engineering and there are several aspects of research connected with this issue. Current research topics are those related to optimization models for design and management but also those concerning the aspects of pipe failures and maintenance of the efficiency of the plant parts, the adequate response to natural and made-man damages and emergencies, and the assessment of the impacts of climate change [4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A New Vulnerability Measure for Water Distribution Network

Maiolo

Pantusa

Carini

et al. 2018

Water

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The main objective of a water distribution network is to provide water to users in compliance with quality and service standards under different conditions. The ability to meet the water demand at the nodes, under the required pressures head, depends on many characteristic factors of the water network, such as various infrastructural components. A water distribution network is a complex system consisting of numerous structural elements and dependent by several factors. Resilience, robustness and vulnerability are of great interest, for these systems, in relation to the possible failure conditions which may compromise the network’s ability to fulfill the project conditions. Vulnerability measures how much the network is fragile: a higher value of vulnerability means that the network is prone to fail in achieving the project conditions. In the present work, a new vulnerability measure based on a topological approach is proposed. A first application of the proposed vulnerability measure on two water networks known in the literature is described, and the obtained results are compared with other performance indices showing a significant correlation.

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“…There is not much research on optimal reservoir design and management under uncertainty. In the world, complex water management planning and optimization of extensive water resources systems in the context of climatic uncertainties are mostly solved [40,[55][56][57][58][59][60][61]. Given that case studies of water management systems are solved complexly and on a large scale on the other hand, we focus on the individual study in small scale but in more detail.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Resilient Design of the Multipurpose Reservoir in Conditions of Uncertain Climate Change

Paseka

Kapelan

Marton

2018

Water

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This paper presents and assesses a new approach to decision-making methods for the design of new reservoirs due in times of decreasing water resources. The methods used in this case are decision theory, Resilience and Robustness method. The methods have been selected primarily to analyze different design parameters of a new dam, mainly dam heights leading to different reservoir volumes. The study presents a novel approach to the optimal design of a multipurpose reservoir that would provide enough water for downstream environmental flow, residential and industrial water supply, agricultural water supply, and hydropower generation in the current conditions of climate uncertainty. Uncertainties are interpreted as possible future changes in the climate system using outputs from regional climatic models. In the case study, a simulation model was developed which is able to quantify long-term water balance and use this data to quantify resilience and robustness of its water supply. The simulation model was correlated to the GANetXL software in order to perform Genetic Algorithms based optimization of the reservoir’s operation. The simulation–optimization model was then applied to a real-life case study in the Czech Republic, in the Morava River Basin where a new dam with the multipurpose reservoir is planned to be built in the future. The results obtained in this way were analyzed in detail to identify the overall best solution consist of dam height and the total reservoir monthly outflow and new operational rules for the analyzed multipurpose reservoir.

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Optimization of Drinking Water Distribution Systems in Relation to the Effects of Climate Change

Cited by 37 publications

References 37 publications

Optimasi Pendistribusian Barang Farmasi Menggunakan Algoritma Genetika

Optimasi Pendistribusian Barang Farmasi Menggunakan Algoritma Genetika

A New Vulnerability Measure for Water Distribution Network

Multi-Objective Optimization of Resilient Design of the Multipurpose Reservoir in Conditions of Uncertain Climate Change

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