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Open Access Journal Article

Optimizing Supply Chain Performance Using Big Data

by Emily Smith 1,*
1
Emily Smith
*
Author to whom correspondence should be addressed.
MAD  2021 3(1):19; https://doi.org/10.69610/j.mad.20210522
Received: 26 March 2021 / Accepted: 16 April 2020 / Published Online: 22 May 2021
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Abstract

The increasing complexity of global supply chains necessitates innovative approaches to enhance their performance. This paper explores the potential of big data as a transformative tool for optimizing supply chain management. By analyzing vast amounts of data, businesses can gain unprecedented insights into demand forecasting, inventory control, and logistics operations. The study delves into how big data analytics can be utilized to identify inefficiencies, reduce costs, and improve overall supply chain agility. Furthermore, it examines the challenges associated with big data implementation, including data quality, integration, and privacy concerns. The paper concludes by proposing a framework for integrating big data strategies into supply chain operations, emphasizing the importance of cross-functional collaboration and continuous improvement.

Keywords: Supply Chain Management; Big Data Analytics; Performance Optimization; Demand Forecasting; Logistics Operations.;
Copyright: © 2021 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Smith, E. (2021). Optimizing Supply Chain Performance Using Big Data. Management Analytics and Decision, 3(1), 19. doi:10.69610/j.mad.20210522
ACS Style
Smith, E. Optimizing Supply Chain Performance Using Big Data. Management Analytics and Decision, 2021, 3, 19. doi:10.69610/j.mad.20210522
AMA Style
Smith E. Optimizing Supply Chain Performance Using Big Data. Management Analytics and Decision; 2021, 3(1):19. doi:10.69610/j.mad.20210522
Chicago/Turabian Style
Smith, Emily 2021. "Optimizing Supply Chain Performance Using Big Data" Management Analytics and Decision 3, no.1:19. doi:10.69610/j.mad.20210522

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ACS Style
Smith, E. Optimizing Supply Chain Performance Using Big Data. Management Analytics and Decision, 2021, 3, 19. doi:10.69610/j.mad.20210522
AMA Style
Smith E. Optimizing Supply Chain Performance Using Big Data. Management Analytics and Decision; 2021, 3(1):19. doi:10.69610/j.mad.20210522
Chicago/Turabian Style
Smith, Emily 2021. "Optimizing Supply Chain Performance Using Big Data" Management Analytics and Decision 3, no.1:19. doi:10.69610/j.mad.20210522
APA style
Smith, E. (2021). Optimizing Supply Chain Performance Using Big Data. Management Analytics and Decision, 3(1), 19. doi:10.69610/j.mad.20210522

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