Published Paper Details:

Abstract: The age old adage of delivering the right product in the right quantity with right cost to the right place at the right time of supply chain management perspectives is being increasingly challenged in today�s world with the variability, com-plexity, market turbulence & the dynamic turmoil and chaos induced by un-predictable events like Covid -19 pandemic. There is no doubt that the traditional supply chain is changing from a rigid, linear flow to a rather flexible, agile value net-work designed to deliver instant choice, along with hyper�personalization across a variety of fulfillment channels and an expanding range of digital enablers. The strategic choices made of fast, scalable, intelligent and cross knitted strategic threads enabling sustainable growth and value perspectives are required to solve current challenges and prepare for rapid and responsive consumer-driven supply chains in future. Shifting from a traditional supply chain to a new supply network matrix creates room for growth, optimizes operations and improves service while reducing costs and working capital for businesses. This new paradigm shift in the supply chain introduces greater levels of complexity as organizations has to manage the flow of materials, products, and data between and amongst a growing number of ecosystem partners, all of which must be coordinated to maintain stability in the network. Supply chain capabilities are demanded by business needs arising from unprecedented situations, and they should be able to meet shorter planning cycles and have an inbuilt ability to respond more quickly to changing demand and supply dy-namics. For this to happen, a successful supply network has to leverage data-driven intelligent automation sciences & ap-plications like Artificial Intelligence (AI) and Machine Learning (ML) to enable ongoing planning capabilities and auto-mated responses to meet unchartered undetermined scenarios. This requires system training to be embedded in supply chains networks to distinguish between inconsequential shifts and situations that require pre-planning. The challenges and perspectives in the chaos induced by unpredictable business changes by the pandemic and plausible supply chain man-agement solutions constitute the preamble of this paper and a P5R5 Risk Management Model is postulated.