Shirish Mohan Dubey
Hitesh Kumar
Harshit Agnihotri
- Assistant Professor CS Department Poornima College of Engineering, Jaipur Rajasthan India
- Student Computer Engineering Department Poornima College of Engineering, Jaipur Rajasthan India
- student Computer Engineering Department Poornima College of Engineering, Jaipur Rajasthan India
Abstract
In the references to add productivity and short the appendences, and increase customer value, supply chain optimization is a very crucial part of contemporary business operations. Supply chain management has been transformed by the emergence of big data, which can provide analysis and insight from many different sources of information. This content explores the importance of using big data analytics to improve the delivery process. Thanks to the evolution of big data analytics with supply chain optimization, businesses can now leverage data from many sources, including sensors, Io T devices, data text exchange, ads, and more. These sources produce large and unstructured data, providing insights into various aspects of the supply chain such as demand forecasting, inventory management, transportation, social status of consumers, and consumer behaviour. Business customers can use big data analytics techniques, including real-time analytics, machine learning, predictive analysis, and data mining to make informed decisions. Forecasting models facilitate demand forecasting, allowing companies to accurately predict customer demand. Delivery times and costs are decreased by using machine learning algorithms to optimize routes for logistics and transportation. With real-time analytics, supply chain visibility is instantaneous, allowing for prompt reactions to demand fluctuations or disruptions.
Keywords: Productivity, customer demand, transportation, data analytics, manufacturing
[This article belongs to Journal of Production Research & Management(joprm)]
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Journal of Production Research & Management
| Volume | 14 |
| Issue | 02 |
| Received | May 9, 2024 |
| Accepted | May 17, 2024 |
| Published | July 17, 2024 |
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