Combination VIKOR Modeland Measurement Systems Analysis (MSA)

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