The purpose of this thesis was to test the methodology on real values that I got from BVK, Inc.. For the most part, I got input data on request, some data arranged alone in the beat interest of the site.
I separated the interest site (the choosen part) of situation. I created entities by criteria (material, age in the span of 10 years, diameter and optimal length 100- 400 meters).
I calculated the criteria of the input data for every entity. The outputs from the calculation criteria were the basis for multicriteria analysis CDA (concordance and discordance analysis). For every entity index was calculated.
The first result of the work was to identify specific groups of entities to recovery. The optimal length of pipe to recovery is 3% (or 807,5 m of 26917,8 meters). This length corresponds to the sum of the lengths of the first three entities. They are entities E 58, E 97 and E 101.
The second objective was to recommend to the selected entities the appropriate recovery technology. I used a table of technologies (insert num. 2) and a flowchart (insert num. 1). I could choose the open trench or trenchless technology. With regard to the criterion of traffic, I chosed the trenchless technology.
The ultimate decision is in most cases the cost of the recovery.