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Showing posts from April, 2019

End to End Supply Chain Management Analytics – Integration of People, Process, Technology and Location

Introduction Supply chain analytics is the streamlining of the entire supply chain of the organization or business to create value to the customers and to gain a competitive advantage in the marketplace. Supply chain management refers to the management of the entire chain of supplies hence making them efficient and economical. Why supply chain analytics is required? In a highly competitive environment, organizations are striving to optimize the operational expenses to achieve high efficiency and manageability throughout the chain. Efficient supply chain analytics and tools help companies to achieve accurate and efficient forecasting, improved supplier network and improved warehouse management, increased visibility throughout the entire supply chain which can cater the dynamic end user demands. The Challenges The various challenges faced by supply chain executives are as follows: Supply Chain Visibility : Supply chain visibility is inhibited by a lack o

Demand Profiling – A small but pragmatic approach in Data Analytics

Introduction Demand Profiling is an important strategic tool used in predictive analytics domain of supply chain management. Demand profiling at an item level (using volume and variability classifiers) is the primary driver of supply chain strategy. It is the basis helps in inventory and logistics profiling. At the component level, demand profiling serves as an important tool in supply planning, demand planning and forecasting. The complexity of the supply chain is dependent on customer demand profile, geographic locations and lead time and with the help of demand profiling, we can turn data into valuable and executable information. It addresses the problems related to complex supply chain, large inbound component, high finished goods volume, dual and parallel sourcing, longer lead time and high inventory levels. It is a modular and tactical tool often considered as the watchdog of traditional planning engines (supply inventory, demand manufacturing etc.), thus identifies the m