Summary

Water supply to population is based on an enormous and complex infrastructure that has expanded and developed during the last century, while the water distribution networks age, the infrastructure of distribution systems is exposed to the process of deterioration and consecutive failures. Pipes are broken are expensive to replace, and replace is not economically viable after the first failure, the usual approach is to repair the pipes until repair costs clearly outweigh the costs of replacement, or until other underground projects are economically attractive replacement
Therefore, there are different factors involved in making decisions in a program to renovate pipes, and for that reason must be considered as far as possible all the variables involved in the failures of the pipes. Of which you can obtain data for analysis and evaluation as well as gamma methods for structuring a program to renovate pipes. Among the methods used, we can mention the methods of optimization, statistics, etc. Whereas for the application of these methods, the availability and type of data.
The aim of this work focuses on developing a comprehensive model, which aids in optimal scheduling of work on the prioritization of the renewal of pipes in the water companies. Considering the great diversity of data, available of a water company to another, and that can have a wide range in terms of quality and quantity of data, an aspect that was considered when framing the scope.
This paper addresses the problem of making decisions for prioritizing the rehabilitation of pipes, through several approaches, which arise in three aspects with the same number of models, and in turn are integrated in one application through a comprehensive model. This comprehensive model consists of three models (vulnerability, efficiency, evaluation index of the physical conditions (EIPC)). 
In order that decisions consider the three fundamental aspects in the rehabilitation of pipelines as are the vulnerability and efficiency network and its structural behavior. Both data availability and financial resources are considered important elements. The result is a list of priority based on the number of failures expected, given the role parametric Weibull model. 
For the structure and conformation of the models that are part of the comprehensive model is developed the methodology for prioritization of pipeline renewal system, using support decision making of the weighted sums, and the tools necessary for this, detailing the weighting matrices of alternatives and impact assessment. 
Once the methodology is discussed above, we make the implementation of the system supports the decision of the weighted sums for the prioritization of renewal in eight groups of the network pipes Celaya, Gto. Mexico, where he has to make the grouping of partial scores of each pipe for each of the criteria considered, resulting in the prioritization of the group of pipes. The results will have a simple sensitivity analysis of variations in the consideration of values in the weights of the criteria.
It then applies the method to rank each of the groups of pipes for each influence factor considered by applying genetic algorithms to do so. To assess the economic and determine the order of priority, based on electricity savings and volume flow recovered runaways, to rehabilitate pipelines and the savings that would result to avoid the consequence of a possible failure at the time making the decision to rehabilitate the pipes.
To determine the above is used Epanet program in conjunction with fuzzy logic, specifically the triangular fuzzy numbers. To determine the priority based on the economic side, again using the tool of genetic algorithms, and in this case, the result obtained is the optimal length of each group of pipes, which maximize the benefits.
Structural deterioration in the evaluation model of the physical condition of the pipes, everything related raises survival analysis and specific to their application in distribution networks, as well as proportional hazard models both semiparametric (Cox's models) and parametric (Weibull models). With a case of application for the city of Celaya, México
Structural deterioration in the evaluation model of the physical condition of the pipes, there is everything related to survival analysis and specific to their application in the water distribution networks, as well as proportional hazard models both semiparametric (Cox's models) and parametric (Weibull models).
In order to apply them in analyzing the failures in the supply network and thus determine to what degree a number of covariates influencing the failure of the pipes, all with a handling and processing of information for statistical analysis . It is also carried out the evaluation of the contrasts of the model assumptions of Cox's, via the Weibull model assessment determines the number of failures and consequent future prioritization order, finally with the parametric Cox's model determines the assessment rate the physical condition of the pipes (IECF). It also develops a comprehensive model for implementing the decisions, in prioritizing the rehabilitation of pipelines. This process uses the language R, the statistical program S-Plus and SPSS.
The result is an application developed in Visual Basic, the integrated model is structured in this application, and this model consists of three models (vulnerability, efficiency, evaluation index of the physical conditions (IECF). Where as a result is a list of priority based on the number of failures expected, prioritization is determined through parametric function of the Weibull model.
Significantly, this comprehensive model can describe the state "technical" they are in the pipes, so that may be an important tool for planning the rehabilitation of pipelines and optimization of resources.