Auto Replenishment

About

One aspect of operations research is resource management. Companies should use their resources wisely and, in a way, that enhances their resiliency. We aim to identify quantum computing advantages and leverage them to remove the barriers and enhance resource allocation. We focus on how quantum computing could build a bridge to convert business operations into resilient, sustainable, and intelligent activities. For this purpose, we started looking at inventory management as a backbone of any supply chain network and identifying Np-hard problems that can be solved by the latest development in quantum computing. Our innovative way is able to automate replenishment and order scheduling and also to manage a multi-echelon inventory system in a complex supply chain network to improve the level of resiliency. Every year companies around the world are spending billions of dollars due to the lack of accuracy in their replenishment and scheduling decision-making and also due to the increasing number of disruptions throughout the year. We believe the era of silo-base optimization has come to an end and thanks to quantum computing, we can fill this gap. Our method will seek the best possible solution from a finite set of possibilities using a hybrid quantum system. Results show that our method, not only can improve efficiency, but it increases the level of resiliency and sustainability across the inventories. This unique finding has several applications in the industries, and it paves the way to fully utilize quantum computing in industries in the future.