Integrated Annual Report 2024-25 | 14 MANUFACTURING CAPABILITIES Efficient and effective operations are indispensable to manufacturing in the present global scenario. As a leading OEM, we are continuously invested in embedding Industry 4.0 principles and techniques deeper into our processes, to build more resilient, adaptive and efficient operations. We are steadfast in our pursuit of digital transformation and technologically agile manufacturing. AUTO SECTOR With the launch of our first set of EVs in FY25, Mahindra is now set to scale up its manufacturing operations, preparing for a stacked launch pipeline till 2030. We have implemented what we envisaged regarding our eUV facilities’ capabilities and built a state-of-the-art factory to propel our electric-origin UVs. A state-of-the-art battery manufacturing facility is also ready, comprising the latest technology in the manufacturing domain for battery manufacturing with 98% automation. Our eUV facility uses the Vision AI process, which reinforces our process robustness. We have also made significant additions to production capacity during the year which puts us in good stead to hit our FY26 capacity targets. DIGITAL MANUFACTURING Smart Sequencing Digital Twin • Enables productivity improvement, faster risk assessment, real-time monitoring • eGEMBA - The ‘Vision Solution’ implemented enables remote viewing of shop floor Digital Manufacturing & Sustainable Tech Implementation • Creation of ergonomics postures library for ~15 critical BEVs processes • Warehouse simulation models for space optimisation • VR – AR model creation for Nashik. New TCF for process optimisation • VR – AR model creation for LMM TCF MATRIX (Mfg.AI) • 112 potential AI use cases identified • Key AI initiatives ongoing: ◦ Energy.AI – Leveraging AI to improve energy efficiency of Chakan plant by 8-10% ◦ AI-enabled weld spot integrity ◦ Maintenance GPT Advanced AI Techniques Leveraged RAG (Retrieval-Augmented Generation), vector search, dynamic prompt engineering, Vision AI and Edge analytics on IIOT data to drive productivity across assembly lines and deliver impact.
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