Impact of Artificial Intelligence on Supply Chain Optimization at Mahindra and Mahindra Company, Nagpur
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This study explores the impact of Artificial Intelligence (AI) on supply chain optimization at Mahindra and Mahindra, a prominent player in the Indian automotive industry, with a particular focus on its operations in Nagpur. This research examines the specific AI applications employed by the company and evaluates their effectiveness in improving supply chain performance. Key outcomes discussed include faster decision-making, improved resource allocation, and enhanced visibility across the supply chain. Moreover, the study assesses challenges faced during the AI adoption process, such as data quality, infrastructure requirements, and employee training, as well as the future potential of AI to further transform the supply chain.
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Books on Artificial Intelligence and Supply Chain Optimization: "AI in Supply Chain Management" by D. S. Prakash, R. R. Mehta
This work focuses on practical use cases for AI in optimizing supply chain operations, including demand forecasting, logistics, and production planning.
"Artificial Intelligence in Business: The Impact of AI on Business Strategy" by Rajendra Akerkar A broader view of how AI is impacting business strategies, including its specific role in supply chain optimization.
"Supply Chain Management: A Global Perspective" by Sunil Chopra and Peter Meindl This book delves into the different aspects of supply chain management, including AI tools that are currently reshaping global supply chains.
"Advanced Analytics and AI in Supply Chain: The Power of Data in Optimizing Supply Chain" by S. M. Ranjan A detailed book that covers both AI and advanced analytics in improving supply chain performance.
"AI in the Supply Chain: How Artificial Intelligence is Transforming Global Supply Chains" by David J. O'Brien A specialized look at AI's role in optimizing various aspects of the supply chain, including case studies.
Research Papers and Journals on AI in Supply Chain Optimization: "Artificial Intelligence Applications in Supply Chain Management" by A. T. Papalambros
Available in journals like Journal of Supply Chain Management, this paper provides insights on AI-driven optimizations in various industries.
"Impact of AI in Supply Chain: Case Study Approach" by Arun Prakash S. and Vikas Verma
This research paper includes case studies of how AI impacts supply chains, including automotive sectors like Mahindra.
"Machine Learning and AI in Supply Chain Management" by L. S. M. Abdullah
Focuses on how machine learning algorithms help predict demand, optimize inventory, and enhance supply chain operations.
"AI and Machine Learning for Supply Chain Optimization: Insights from Real- world Case Studies" – International Journal of Supply Chain Management Contains a series of case studies on companies implementing AI solutions in their supply chains.
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