Optimizing Supply Chains in Manufacturing with Autonomous Robotic Systems

Authors: Shashank Pasupuleti

DOI: https://doi.org/10.5281/zenodo.14259767

Short DOI: https://doi.org/g8s4hr

Country: USA

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Abstract: The integration of Autonomous Robotic Systems (ARS) into manufacturing supply chains is rapidly transforming traditional production and logistics operations. By leveraging advanced robotics, artificial intelligence (AI), and Internet of Things (IoT) technologies, ARS streamlines key supply chain functions, enhancing operational efficiency, reducing costs, and improving product quality. This paper explores the impact of ARS on manufacturing supply chain optimization, with a focus on material handling, inventory management, quality control, and logistics. Additionally, case studies across various sectors—including automotive, electronics, pharmaceuticals, and food production—demonstrate the effectiveness of ARS. The paper also examines the challenges and future trends related to the adoption of autonomous robotics in manufacturing, providing insights into the ongoing evolution of supply chain technologies.

Keywords: Autonomous Robotic Systems, Supply Chain Optimization, Manufacturing, Robotics, Industrial Automation, Inventory Management, Logistics

Paper Id: 231709

Published On: 2019-10-02

Published In: Volume 7, Issue 5, September-October 2019

Cite This: Optimizing Supply Chains in Manufacturing with Autonomous Robotic Systems - Shashank Pasupuleti - IJIRMPS Volume 7, Issue 5, September-October 2019. DOI 10.5281/zenodo.14259767

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