Decision model to control water losses in distribution networks

Fontana, Marcele Elisa; Morais, Danielle Costa

doi:10.1590/0103-6513.201815

Cited by 15 publications

(8 citation statements)

References 38 publications

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“…The methods form a restricted number of decision alternatives in which the DMs have to assess and rank or prioritise the alternatives basing on the weights of the limited set of evaluation criteria [9,10]. Reference [11,12] discussed two major categories of the MCDM weighting methods. The first category is concerned with compensatory weighting methods such as MAVT, AHP, SMARTER, SAW, Simple Multi-Attribute Rating Technique Swings (SMARTS), Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), Multi-Attribute Utility Theory (MAUT), Complex Proportional Assessment (COPRAS) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which are used in Multi-Attribute Utility (MAU).…”

Section: Mcdm Methodsmentioning

confidence: 99%

Optimisation of Water Loss Management Strategies: Multi-Criteria Decision Analysis Approaches

Kadenge¹,

Masanja²,

Mkandawile³

2020

J. Math. Inf.

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Water loss in the water distribution systems (WDS) is a challenge to many water authorities in the world but the problem is crucial in the less developed countries. The effect of water losses in the WDS includes the reduction in the revenue and availability of water, interruption in the quality of water, and inflation of the operation and maintenance cost of the water authorities. Using data from the Moshi Urban Water Supply and Sanitation Authority (MUWSA) Tanzania, an assessment of strategies used for water loss management (WLM) was carried out through an integrated model of Multi-Criteria Decision Making (MCDM) and Integer Linear Programming (ILP) which is an optimisation technique. The family of MCDM methods, Multi-Attribute Value Theory (MAVT), Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER), and Simple Additive Weighting (SAW) were employed to assess and prioritise the strategies while the ILP was used to formulate a decision model. The model was used to select a portfolio of the best strategies. Sixteen strategies were identified. The results show that the comparison between the bulk meter and customers' meter on detecting the physical or apparent losses was ranked as the best strategy in managing the loss while the network zoning was ranked as the worst strategy. The model selected thirteen out of sixteen strategies to form the portfolio of the best strategies to be employed by the MUWSA for water loss management. Furthermore, the model was found to be robust as the selected portfolio of strategies remained the same even when the weights of the criteria were changed. The developed model in this study will assist the decision-makers to assess, prioritise and choose the best strategies for reducing or controlling water loss in the distribution system.

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Section: Mcdm Methodsmentioning

confidence: 99%

Optimisation of Water Loss Management Strategies: Multi-Criteria Decision Analysis Approaches

Kadenge¹,

Masanja²,

Mkandawile³

2020

J. Math. Inf.

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“…is the score of i-th alternative concerning j-th criterion before normalization, and is the normalized value. The normalization process converts the values of alternatives to a range between 0 and 1, where 0 is the worst alternative value and 1 the best alternative value in each attribute if its goal is to maximize or minimize [13]. Tables 2 shows the normalized values for the score data obtained through equation (1).…”

Section: Wherementioning

confidence: 99%

Multi-Criteria Decision Making and Numerical Optimization Approaches for Optimizing Water Loss Management Strategies in Water Distribution System - A case of Urban Water Supply and Sanitation Authorities in Tanzania

Kadenge¹,

Mkandawile²,

Masanja³

2020

IJMSC

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Water loss in water distribution systems (WDS) is a serious problem in Tanzania and the third world countries at large. A lot of water is lost on its way before reaching the consumers. This causes a shortage of water supply which leads to loss of revenues of the concerned water authorities. The control or reduction of water loss in the WDS is closely dependent on the commitment of the decision-makers and on the strategies and budget, they set for that purpose. This paper presents a combined model of Multi-Criteria Decision Making (MCDM) and Numerical optimization techniques which may help decision-makers to prioritize and select the best strategies to be used in the management of water loss in the WDS at Moshi Urban Water Supply and Sanitation Authority (MUWSA), Tanzania. The Multi-Criteria Decision Making family methods namely the Multi-Attribute Value Theory (MAVT), Simple Multi-Attribute Rating Technique Exploiting Ranks (SMARTER), and Complex Proportional Assessment (COPRAS) were used to evaluate and prioritize the strategies, whereas the Integer Linear Programming (ILP) technique a numerical optimization technique was used to select the best strategies or alternatives to be employed in water loss management. The results show that the most preferable alternative is replacement of dilapidated pipes while the least preferable alternative is network zoning. The model selects thirteen out of sixteen alternatives, which cost 97% (TZS 235.71 million) of the total budgets set by the water authority to form a portfolio of the best alternatives for water loss management. Furthermore, the model showed robustness as the selected portfolio of alternatives remained the same even when the weights of the evaluation criteria changed.

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“…In these cases the complexity of decision-making is enlarged. According to Fontana & Morais (2016) the "decision makers are prone to commit errors when the problem under analysis becomes more complex". Therefore, this increases the need for a study of group decision methods to aid in this process.…”

Section: Water Distribution Network Segmentation Based On Group Multimentioning

confidence: 99%

Water distribution network segmentation based on group multi-criteria decision approach

Fontana

Morais

2017

Prod.

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A correct Network Segmentation (NS) is necessary to perform proper maintenance activities in water distribution networks (WDN). For this, usually, isolation valves are allocating near the ends of pipes, blocking the flow of water. However, the allocation of valves increases costs substantially for the water supply companies. Additionally, other criteria should be taking account to analyze the benefits of the valves allocation. Thus, the problem is to define an alternative of NS which shows a good compromise in these different criteria. Moreover, usually, in this type of decision, there is more than one decision-maker involved, who can have different viewpoints. Therefore, this paper presents a model to support group decision-making, based on a multi-criteria method, in order to support the decision making procedure in the NS problem. As result, the model is able to find a solution that shows the best compromise regarding the benefits, costs, and the decision makers' preferences.

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Decision model to control water losses in distribution networks

Cited by 15 publications

References 38 publications

Optimisation of Water Loss Management Strategies: Multi-Criteria Decision Analysis Approaches

Optimisation of Water Loss Management Strategies: Multi-Criteria Decision Analysis Approaches

Multi-Criteria Decision Making and Numerical Optimization Approaches for Optimizing Water Loss Management Strategies in Water Distribution System - A case of Urban Water Supply and Sanitation Authorities in Tanzania

Water distribution network segmentation based on group multi-criteria decision approach

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