The developments in Information and Communication Technology (ICT) and fierce global competition have persuaded all kinds of manufacturers to integrate supply chain management practices to achieve superior organizational performance. However, most of the supply chain management planning and strategies could not achieve the desired outcomes due to the lack of knowledge of the existing level of supply chain concerns prevailing in their organizations. With the help of a survey conducted among the executives of manufacturing industries in the Union Territory of Puducherry, this paper examines the current supply chain concerns in manufacturing industries using principal component analysis, K-mean cluster and discriminant analysis. Supply chain concerns have been categorized into supply chain coherence, geographical proximity and competitionoriented concerns, and manufacturing units have been segmented into low, medium and high supply chain concern industries.

The concept of survival by isolation no longer works between suppliers and the other entities of the supply chain (Stock and Boyer, 2009). Hence organizations nowadays tend to move away from the isolation paradigm and look at developing partnerships and effective information sharing between the various trade partners, thereby making their process become interconnected and overcoming the traditional limitations set by the firm (Cousins et al., 2006). Various viewpoints and definitions have been provided about Supply Chain Management (SCM). For example, “SCM is defined as a set of approaches utilized to efficiently integrate suppliers, manufacturers, warehouses and stores, so that merchandise is produced and distributed at the right quantities to the right locations and at the right time in order to minimize system wide costs while satisfying service level requirements” (Simichi-Levi et al., 2008). Based on the empirical analysis of the data collected from the executives of manufacturing industries, this paper examines the supply chain concerns of manufacturing industries. The statistical results are reported in the following sections.

Supply Chain Management Journal, Supply Chain Management, Manufacturing Industries, Information and Communication Technology (ICT), Principal Component Analysis, K-mean Cluster and Discriminant Analysis, Supply Chain Management (SCM), suppliers, manufacturers, warehouses and stores.