Queuing Models for Optimizing Manufacturing and Supply Chain Operations

Abstract

The objective of this article is to investigate how queuing models can be used to improve supply chain and manufacturing processes. By utilizing queuing theory, production and distribution systems can become more efficient overall, reduce bottlenecks, and minimize waiting periods. In order to model and analyses different phases of manufacturing and supply chain processes, this study uses queuing theory. The suggested models are validated using a commercial optimization software. The results show that using queuing models strategically lowers waiting times and optimizes resource allocation, which boosts operational effectiveness and lowers expenses. By establishing a thorough framework for using queuing models in manufacturing and supply chain operations, this study adds to the body of material already in existence while also giving managers useful advice on how to maximize efficiency and gain a competitive edge.