Abstract:

Rapid evolution in tool-based analytics has transformed operations administration by enhancing capability, maximizing decision-making, and reducing costs for businesses. This composition survey examines the historic development, theoretical foundations, and practical applications of analytics in operations administration. It discusses the ways in which graphic, symptomatic, predictive, and prescriptive analytics advance supply chain management, predictive maintenance, mechanization of handling, and real-time decision-making. In addition, the paper discusses major challenges, including information quality problems, integration issues, and social opposition, while emphasizing best practices for successful application, including developing a data culture and ensuring robust information management. Emerging trends such as Industry 4.0, real-time analytics, and AI-based decision-making are further explored, as well as their ethical recommendations regarding information security and algorithmic bias. The reflection concludes by separating next-generation inquire about opportunities that can help sharpen the incorporation of analytics into operations management, paving the way for more robust and flexible commerce practices.

Description:

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