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.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 375–385.
Article DOI: 10.30574/ijsra.2024.12.1.0820
Publication history: 
Received on 31 March 2024; revised on 06 May 2024; accepted on 09 May 2024
 
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
 
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Copyright information: 

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