Just-In-Time (JIT) Manufacturing: Benefits, Challenges, and Future Perspectives

Authors

  • Rajesh Tiwari M Tech Scholar, Department of Industrial and Production Engineering, Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Indore, India

Keywords:

Pharmaceuticals, Supply Chain Integration, Artificial Intelligence

Abstract

Just-In-Time (JIT) manufacturing is a lean production strategy designed to minimize waste, reduce inventory costs, and enhance operational efficiency by producing goods only when they are needed. Initially developed in Japan, particularly by Toyota, JIT has gained widespread adoption across various industries, including automotive, electronics, pharmaceuticals, and consumer goods. The approach emphasizes streamlined operations, resource optimization, and just-in-time delivery, allowing organizations to remain competitive in dynamic market environments.

This review explores the core principles of JIT, including waste elimination, continuous improvement (Kaizen), demand-driven production, and supply chain integration. The benefits of JIT, such as cost reduction, enhanced product quality, improved productivity, and greater flexibility, are examined alongside the challenges associated with its implementation, including supply chain vulnerabilities, demand fluctuations, and high transition costs.

Furthermore, the article discusses the role of emerging technologies in enhancing JIT manufacturing, with a focus on automation, artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and predictive analytics. These advancements are redefining supply chain management, enabling real-time tracking, demand forecasting, and data-driven decision-making, thereby making JIT more adaptive and resilient in an increasingly digitalized industrial landscape.

Finally, the review evaluates the future directions of JIT manufacturing, particularly in the context of sustainability, digital transformation, and supply chain resilience. As companies strive to achieve greener, smarter, and more responsive production systems, JIT is evolving to integrate environmentally sustainable practices, AI-powered predictive maintenance, and digital twin technology. Despite challenges, JIT remains a cornerstone of lean manufacturing, and its continued adaptation to modern technologies ensures its relevance and effectiveness in the future of global manufacturing.

Published

2025-05-03