This summary presents results from the paper "Characterizing Value Chain Patterns of Urban Factories using Principal Component Methods and Hierarchical Clustering on Principal Components: A Case Study in the Grenoble Urban Area" which has been submitted to Journal of Cleaner Production and is still in the review process. In this paper, a characterization methodology has been proposed and applied on a case study in the Grenoble urban area in which 46 different value chains of urban factories have participated. This has been conducted using a multiple factor analysis (MFA), a principal component analysis (PCA) and a hierarchical clustering on principal components (HCPC). Clustering has resulted in the definition of 16 different patterns. The proposed methodology can be used on other urban areas to support designers in characterizing patterns for urban factories based on value chain models of successful urban factories.