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Analyzes of multi-criteria decision support are applied to solve complex logistics problems, including supply problems from the industry sector. Organizations struggle with various decision problems that arise during the activities of organizations such as production logistics, supply logistics, transport logistics. Therefore, sometimes is necessary to make multi-criteria analysis, in which except the quality criteria, the costs are included. The problem with making the best decision in terms of quality and cost occurred in a production and service enterprise localized in south-eastern Poland. The problem was the selection and purchase of the most favorable in terms of quality and cost of fluorescent penetrant for non-destructive testing characterized by the so-called medium level of sensitivity. The aim was to integrate the AHP method and quality-cost analyze to select the most favorable for the enterprise the fluorescent penetrant to non-destructive test. The fluorescent penetrants, which were selected to analysis were: ZL-61, ZL19, ZL60C, ZL-61 from Magnaflux; FP-22B from Sherwin and Ardrox 9812 from Chemetall. Penetrants were analyzed in terms of criteria, i.e. the environment, flammability, reactivity, available packaging capacities and the cost of purchasing penetrant. The analysis carried out using the integrated methods (AHP and cost-quality analysis) which has not been practiced until now, has allowed indicating the most favorable fluorescent penetrant in terms of quality and costs It has been shown that the implementation of cost-quality analysis in the AHP method is effective in analyzing logistic problems regarding the selection of the most advantageous solution, taking into account quality and costs. The analysis proved that not always the highest quality and the lowest price guarantee the best choice. Therefore, it becomes effective to practice the proposed methodology (AHP and cost-quality analysis) in organizations for analyzing various logistic problems, in which it is important to make the most-favorable decision taking into account qualitative criteria and costs. [ABSTRACT FROM AUTHOR]