* Corresponding author: Tomal Das Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0. Productivity optimization techniques using industrial engineering tools: A review Tomal Das * Department of Industrial, Manufacturing, and Systems Engineering. The University of Texas at Arlington, TX, USA. International Journal of Science and Research Archive, 2024, 12(01), 375–385 Publication history: Received on 31 March 2024; revised on 06 May 2024; accepted on 09 May 2024 Article DOI: https://doi.org/10.30574/ijsra.2024.12.1.0820 Abstract This review explores productivity optimization techniques through the lens of industrial engineering tools. Industrial engineering serves as a critical discipline in enhancing efficiency and effectiveness across various industries. The abstract delves into methodologies, such as time and motion studies, Six Sigma, Lean principles, and operations research, which are instrumental in streamlining processes and improving productivity. These tools aid in identifying inefficiencies, eliminating waste, and enhancing overall performance. Through a comprehensive analysis of existing literature and case studies, this review highlights the diverse applications and benefits of industrial engineering techniques in optimizing productivity. Additionally, it discusses the integration of advanced technologies, such as automation, data analytics, and artificial intelligence, in modern productivity enhancement strategies. The review concludes with insights into future directions and potential challenges in leveraging industrial engineering tools for sustained productivity improvements in dynamic organizational environments. Keywords: DMAIC; Inventory management; Defect; Scheduling; Sigma rating; Quality; Simulation 1. Introduction Enhancing productivity is a perpetual goal for organizations seeking to remain competitive and profitable in today's dynamic business landscape. Industrial engineering, with its diverse toolkit of methodologies and principles, plays a pivotal role in achieving this objective. This introduction provides an overview of productivity optimization techniques using industrial engineering tools, highlighting their significance, applications, and implications. Industrial engineering encompasses a range of techniques aimed at improving processes, systems, and workflows to maximize efficiency and effectiveness. From time and motion studies pioneered by Frederick Taylor to contemporary approaches like Six Sigma and Lean principles, industrial engineering offers a structured framework for identifying inefficiencies, reducing waste, and enhancing overall productivity. These methodologies enable organizations to streamline operations, minimize costs, and deliver higher quality products and services to customers. This review explores the key industrial engineering tools and techniques employed in productivity optimization. It examines how these tools are applied across various industries, from manufacturing and logistics to healthcare and services, to achieve tangible results. Additionally, the integration of advanced technologies such as automation, data analytics, and artificial intelligence is discussed, showcasing how industrial engineering continues to evolve in response to technological advancements. Through an analysis of existing literature, case studies, and real-world examples, this review aims to provide insights into the effectiveness and impact of industrial engineering tools on productivity enhancement. Furthermore, it discusses the challenges and opportunities associated with implementing these techniques in diverse organizational contexts. By understanding and leveraging industrial engineering tools for productivity optimization, organizations can position themselves for sustained growth and success in an increasingly competitive global marketplace. This introduction sets