One of the basic principles of any organization is to assure about obtained figures of its products measurement. If the measured data is not trusted, the possibility of wrong decisions regarding the approval or rejection of products and obviously the cost would be great. First cases in measurement systems analyses which cross minds are criteria for approval or rejection for any measurement system use its obtained results. It seems that comparing and ranking different measurement systems have an important role in future of any organization, when every system is evaluated by common criteria in measurement systems analysis. MCDM methods can greatly influence decision quality. Although, some limitations has been seen in the description of criteria or sub-criteria information in classical Vikor under linguistic environment, which result in the loss and low rate of accuracy of information. Therefore, to solve that problem Vikor method has been developed by many researchers. In this paper, the rank of different measurement systems as an alternative, average attribute and calculated index is considered as a benchmark in measurement systems analysis. For this purpose, a multiple criteria decision-making model of Vikor method has been presented. In order to determine the Attribute weight, an AHP method has also been used before Vikor. In order to fully consider the relative importance of the criteria, and create a balance between total and individual satisfaction the Vikor method is applied to aggregate the whole criteria. The extended Vikor can rank and select the best one from a set of alternatives.

The sensitivity analysis for multi-attribute decision making (MADM) problems is important for two reasons: First, the decision matrix as the source of the results of a decision problem is inaccurate because it sorts the alternatives in each criterion inaccurately. Second, the decision maker may change his opinions in a time period because of changes in the importance of the criteria and in the policy of the organization over time. This in turn makes problem solving really time-consuming. Therefore, the best solution is to do sensitivity analysis.In this regard, this paper considers a sensitivity analysis in the QUALIFLEX method which is a compromise ranking method used for multi-criteria decision making (MCDM).

Naysian Porphyry Cu District (NPCD) is situated northeast of Isfahan, in the center of Iran along the Urumia-Dokhtar Magmatic Assemblage (UDMA) belt. Mineral Potential Mapping (MPM) is an important issue in mining to reduce the exploration costs by proposing a layout of drilling over the most favorable regions in association with an ore-bearing target. MPM can be defined as a multi-criterion decisionmaking (MCDM) problem. Out of many MCDM methods, the Vikor is based on a compromise solution which evaluates issues with inappropriate and incompatible criteria. In this study, seven geospatial indicators related to the NPCD were extracted from geological, geochemical, and geophysical criteria. According to the conceptual model of a porphyry copper mineralization system, the highest weight was allocated to the geochemical criterion with a value of 0. 499 and the sublayer of the copper concentration map (0. 425). In addition, the lowest weight was allocated to the geophysical criterion (0. 113). Two variants of the Vikor method that are the conventional (C-Vikor) and the adjusted (A-Vikor) ones were examined in this study, and their outputs were compared with the index overlay (IO) method as a popular approach in MPM. Taking a threshold value of 0. 6 into account for final synthesized indicators, the mineral favorability areas highlighted by the IO, A-Vikor, and C-Vikor methods have occupied 49. 5, 15. 8, and 18. 7 hectares, respectively. It is worth pointing out that the MPM derived from the AVikor method has superiority over the outputs of the IO and C-Vikor methods by introducing the lowest favorable area and 92% matching of high-grade boreholes with the proposed areas. Comparing the mean grade of copper obtained from boreholes drilled in the area and the values of MPM, a significant correlation between boreholes and prospectivity map was also obtained.

Regarding the diversified needs of the customers and various products of competitors, the importance of agility in supply chain management becomes more significant. Suppliers should provide materials and essential resources of manufacturers without any lead time. In this research, we used a two-stage method for supplier selection. In the first stage, we used a new Data Envelopment Analysis (DEA) method based on network framework to determine the efficiency of the suppliers. This model considered 4 layers for supply chain of each supplier. At the end of this stage, the better suppliers have been selected for the second stage. In the second stage, after determining the efficient suppliers, we identified several criteria for agility in sanitation supply chain. Due to the uncertainty on the supplier’s data, we used a fuzzy Delphi method and ideas of experts about those criteria have been finalized in 8 criteria. Next step was devoted to prioritization of 5 selected suppliers in sanitation industry based on the final criteria with fuzzy Vikor.