Abstract

Profitability, customer satisfaction, and innovation in the cutthroat automobile industry depend on well-managed operations and supply networks. Managing operations and supply chains in the automotive industry is complex, and this paper lays forth a comprehensive framework for doing so. An integral part of effective operations management in the automotive industry is demand forecasting and planning. Using collaborative forecasting methodologies, market trend analysis, and advanced analytics, automotive manufacturers can improve production schedules, minimize inventory costs, and foresee changes in demand. Reducing waste, enhancing process efficiency, and managing low inventory levels are all achieved through the use of lean manufacturing techniques like Just-in-Time (JIT) production and Total Productive Maintenance (TPM). Collaboration with suppliers, uninterrupted material flow, and supply chain innovation can all be achieved through supplier relationship management (SRM). Automakers may enhance product quality, cut costs, and lessen supply chain risks by communicating openly, working together to improve processes, and forming agreements that benefit all parties involved. Automobile companies can't afford to have any product flaws that damage their reputation or the loyalty of their customers, which is why quality management is so important in this industry. Statistical Process Control (SPC), Failure Mode and Effects Analysis (FMEA), and Six Sigma are a few of the rigorous quality control methods that manufacturers use to find and rectify flaws early

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