International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Student Project | Computer Science & Engineering | India | Volume 10 Issue 7, July 2021


Optimal Inventory Allocation in Supply Chain Using Decision Optimization

S Suraj | Dr. K Badari Nath


Abstract: The success of a business primarily depends on the efficiency of its supply chain. An enterprise with a well-organized supply chain may significantly reduce majority of the expenses connected to that chain, which contributes to a greater profit and customer satisfaction. Existing systems mainly stress on delivery time and order management systems to ensure smooth running of a supply chain. However, when optimization starts at the inventory level, based on forecasted or available demand and customer data, the functioning of the supply chain can be made more efficient. The utilization of Machine Learning and Decision Optimization has helped in further improvement in the field of inventory optimization.


Keywords: Decision Optimizer, Inventory Allocation, Inventory Allocation, CPLEX, Supply Chain


Edition: Volume 10 Issue 7, July 2021,


Pages: 662 - 665


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How to Cite this Article?

S Suraj, Dr. K Badari Nath, "Optimal Inventory Allocation in Supply Chain Using Decision Optimization", International Journal of Science and Research (IJSR), Volume 10 Issue 7, July 2021, pp. 662-665, https://www.ijsr.net/get_abstract.php?paper_id=SR21624203337

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