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@article{159224,
        author = {Sreejith B J and Kavilal E G},
        title = {ANALYSIS OF SUPPLY CHAIN RISKDRIVERS IN AUTOMOTIVE INDUSTRIES USING ISM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {700-706},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159224},
        abstract = {The risk drivers in present day supply chain is numerous and constantly evolving due to globalization, customization, innovation, flexibility, sustainability and uncertainties. The growing supply chain risk drivers results in negative consequences on cost, customer service and reputation. Supply chain risk management is significant to gain competitive advantage. Managing the supply chain risk involves identifying, prioritizing, measuring, analyzing, controlling/eliminating the drivers of complexity. A supply chain risk driver includes number and variety of suppliers, customers, products, processes and uncertainties. The risk drivers are highly interdependent and the interdependence of the drivers needs to be studied before prioritizing the drivers. In this project, an Interpretive Structural Modelling (ISM) and Impact matrix cross-reference multiplication (MICMAC) are used to establish the interdependence of supply chain risk drivers. A case study of a mining equipment manufacturer located in India is presented to illustrate the proposed approach. From the results the significant supply chain risk drives are identified with their interdependence.},
        keywords = {TermsSupply Chain, Automotive Industry, ISM.},
        month = {},
        }