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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Application Of Big Data To Predict Future Demand Forecasting In Supply Chain Management |
| Authors Name: | Divyani Nagesh Jadhav |
| Unique Id: | IJSDR2401004 |
| Published In: | Volume 9 Issue 1, January-2024 |
| Abstract: | This review examines the paper "Application of big data to predict future demand forecasting in supply chain management.” In Supply Chain Management (SCM), when we talk about "application," we're referring to using different tools, software, ways of doing things, and smart strategies to make the whole supply chain work better. For example, technologies like RFID and GPS help us keep track of things in real time, so we can see where our stuff is and avoid delays. Special software, such as ERP, WMS, and TMS, helps organize our business processes and handle things like inventory and transportation more efficiently. Approaches like Lean and Six Sigma are methods we use to reduce waste and make things run smoother. Big plans, like making our supply chain respond to what customers want, are part of our strategies. Good planning, using tools and smart calculations, helps us forecast, schedule, and manage our stock better. Doing things, like buying, making, and delivering products, is the execution part, where we might use robots and automation to be faster and more accurate. Checking on everything as it happens (monitoring) helps us catch and fix problems quickly. Always trying to do better (optimization) is like fine-tuning our processes using data and smart technology. By using all these tools and methods, companies aim to have a supply chain that's flexible, quick, and cost-effective, making customers happy and staying competitive. |
| Keywords: | Supply chain management, Applications, Tools , Software , Technologies , RFID , GPS, ERP, WMS, TMS, Lean, Six Sigma ,Planning, Execution ,Monitoring, Optimization, Customer satisfaction , Competative. |
| Cite Article: | "Application Of Big Data To Predict Future Demand Forecasting In Supply Chain Management", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 1, page no.31 - 35, January-2024, Available :http://www.ijsdr.org/papers/IJSDR2401004.pdf |
| Downloads: | 000340271 |
| Publication Details: | Published Paper ID: IJSDR2401004 Registration ID:209736 Published In: Volume 9 Issue 1, January-2024 DOI (Digital Object Identifier): Page No: 31 - 35 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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