V2I6P17

The Impact of AI on Product Lifecycle Management – A Step Towards Smart Manufacturing

Dr. Kanchan G Rajput^1*, Banashree B. S.²

Abstract

PLM is a holistic approach to managing a product throughout its entire lifecycle, from its inception to its eventual disposal. It aims to improve product quality, reduce costs, shorten time-to-market, and enhance overall efficiency. AI in Product Lifecycle Management (PLM) uses artificial intelligence to improve how products are designed, made, distributed, maintained, and recycled. It helps businesses automate tasks, reduce costs, work more efficiently, and create sustainable products. AI also supports better decision-making and predicts maintenance needs, making product management smarter and smoother. This study is a descriptive and conceptual paper that examines AI’s impact on PLM and its adoption challenges. The study highlights AI’s potential to revolutionize PLM and drive smart manufacturing. Addressing existing challenges will be key to unlocking AI’s full benefits in creating a more efficient, resilient, and data-driven product lifecycle. This study explores the integration of Artificial Intelligence (AI) in Product Lifecycle Management (PLM) to enhance efficiency, sustainability, and decision-making. AI-driven solutions are transforming product design, manufacturing, supply chain management, and maintenance, leading to optimized processes and reduced waste. As industries shift toward smart manufacturing, AI-driven PLM is transforming traditional processes through automation, data analytics, and predictive technologies. Objectives: 1) To evaluate the impact of AI on Product Lifecycle Management (PLM). 2) To identify the challenges associated with AI adoption in Product Lifecycle Management (PLM).

Keywords:

AI in PLM, Smart Manufacturing, Predictive Maintenance, Sustainable Product Development.