Decision makers use SWOT analysis as the most important tool in strategic management process. It enables managers with the discovery and collection of facts resulting from both internal and external analysis. This analysis then becomes the foundation for strategy formulation. The process is not without flaws. It does not include any means of analytically determining the importance of factors or assessing the fit between SWOTS factors and decision alternatives. It is based mainly on qualitative analysis. This research's aim is to prioritize strategies by the integration of the SWOT and the factors analysis. The first phase consists of determining the SWOT matrix. The second phase consists of weighing and prioritizing the SWOT strategies. A two steps process is proposed; step 1, using factor analysis (Rotated Component Matrix) and step 2, creating a statistical method. The proposed is simple to use and applicable for organization. This method is applied to Avid Food Industry (a Persian food manufacturer) starting with 34 strategies that are consequently reduced to 13 applicable ones.

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In order to study tuber yield stability of potato genotypes, this research was carried out using randomized complete block design with three replications in three different research stations in Iran during two growing seasons. The combined analysis of variance indicated that the main effects of genotype (G), environment (E) and their interactions genotype and environmen (G×E) were highly significant (p < .). The principal component analysis (PCA) based on rank correlation matrix indicated that the first two PCAs explained. of the variance of original variables. Based on bi-plot analysis, the stability parameters were classified into four groups. Clustering of the genotypes according to the mean yield and nonparametric stability statistics showed that there were two main clusters. Overall, according to mean rank of nonparametric stability parameters, G , G , G , G , G and G had the lowest variations and were recognized as the most stable genotypes. Genotypes G , G , G , G and G had the highest values of mean rank of parameters and therefore, would be considered to be the most unstable. According to the present study, the stability measures Ys i , R, TOP and LOW were associated with mean yield (MY) and the dynamic concept of stability. Therefore, these procedures were suitable for selecting stable and high yielding genotypes. Based on these parameters, genotypes G (. t/ha) and G (. t/ha) were identified as high yield stable genotypes.