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

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

How to Cite?: S Suraj, Dr. K Badari Nath, "Optimal Inventory Allocation in Supply Chain Using Decision Optimization", Volume 10 Issue 7, July 2021, International Journal of Science and Research (IJSR), Pages: 662-665, https://www.ijsr.net/getabstract.php?paperid=SR21624203337, DOI: https://dx.doi.org/10.21275/SR21624203337

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.