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Review Article Open Access December 18, 2020

Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations

Srinivas Kalisetty 1,*
1
Architect – Technology, USA
Publihed in: Current Research in Public Health (Volume 1, Issue 1, 2020)
Page(s): 1-19
DOI: 10.31586/ojer.2020.1343
Received
October 30, 2020
Revised
November 29, 2020
Accepted
December 16, 2020
Published
December 18, 2020
Keywords
Smart Supply Chain Ecosystems; Cloud-Native Architectures; Big Data Integration; Customer-Driven Experiences; Climate Change Goals; Digital Economy; Intelligent Technology Partnerships; Operational Responsiveness; Supply Chain Collaboration; Direct-To-Consumer Models; Ecosystem Investment; Manufacturing Technology; Advanced Supply Chains; Carbon Footprint Reduction; Supply Chain Resilience; Economies of Integration; Cloud Delivery Capabilities; Technology Growth Strategies; Real-Time Connectivity; Sustainable Supply Chains
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright: Copyright © The Author(s), 2020. Published by Scientific Publications
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Cite This Article

APA Style
*, S. K. (2020). Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations. Current Research in Public Health, 1(1), 1-19. https://doi.org/10.31586/ojer.2020.1343
ACS Style
*, S. K. Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations. Current Research in Public Health 2020 1(1), 1-19. https://doi.org/10.31586/ojer.2020.1343
Chicago/Turabian Style
*, Srinivas Kalisetty. 2020. "Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations". Current Research in Public Health 1, no. 1: 1-19. https://doi.org/10.31586/ojer.2020.1343
AMA Style
* SK. Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations. Current Research in Public Health. 2020; 1(1):1-19. https://doi.org/10.31586/ojer.2020.1343 
@Article{crph1343,
AUTHOR = {*, Srinivas Kalisetty},
TITLE = {Intelligent Supply Chain Ecosystems: Cloud-Native Architectures and Big Data Integration in Retail and Manufacturing Operations},
JOURNAL = {Current Research in Public Health},
VOLUME = {1},
YEAR = {2020},
NUMBER = {1},
PAGES = {1-19},
URL = {https://www.scipublications.com/journal/index.php/OJER/article/view/1343},
ISSN = {2831-5162},
DOI = {10.31586/ojer.2020.1343},
ABSTRACT = {The supply chain ecosystem plays a very important role in the success or failure of organizations, markets, and economies. Supply chain ecosystems are broadly defined as supply chain organizations and their collaborators. Today's combined challenges of pandemic shutdowns, rising internet usage, and skyrocketing climate change concerns demand that the supply chain ecosystem better connect with customers, when and how they want, to provide products and services with high levels of availability and zero defects, yet collaboratively do this to reduce transportation and production risks, often at the same time reducing operational costs and carbon footprints. Addressing these challenges, this work explores the cloud delivery capabilities of cloud-native architectures to enable the big data integrations and analytics that are needed to grow smarter supply chain ecosystems. This work describes what smart supply chain ecosystems are and how they are planning to grow their technology and integration capabilities. Discussing the industry-leading advanced and manufacturing technology producer ecosystems, it is explained how their technology collaboration and investment plans are driven by climate change and job creation goals. With these background models, the work examines the new digital reality of customer-driven experiences and economies that are demanding cloud-native and intelligent technology partnerships to deliver climate objectives, operational responsiveness, and compatibility to avoid trading economies of scale for economies of integration. The final objectives of this paper are to share key ideas about the need to balance the growing customer service direct-to-consumer business models with those for collaborative investment by market and industry. In doing this, it hopes to promote an intelligent supply chain ecosystem foundation for helping its different participating countries survive and thrive in the digital economy.},
}
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AB  - The supply chain ecosystem plays a very important role in the success or failure of organizations, markets, and economies. Supply chain ecosystems are broadly defined as supply chain organizations and their collaborators. Today's combined challenges of pandemic shutdowns, rising internet usage, and skyrocketing climate change concerns demand that the supply chain ecosystem better connect with customers, when and how they want, to provide products and services with high levels of availability and zero defects, yet collaboratively do this to reduce transportation and production risks, often at the same time reducing operational costs and carbon footprints. Addressing these challenges, this work explores the cloud delivery capabilities of cloud-native architectures to enable the big data integrations and analytics that are needed to grow smarter supply chain ecosystems. This work describes what smart supply chain ecosystems are and how they are planning to grow their technology and integration capabilities. Discussing the industry-leading advanced and manufacturing technology producer ecosystems, it is explained how their technology collaboration and investment plans are driven by climate change and job creation goals. With these background models, the work examines the new digital reality of customer-driven experiences and economies that are demanding cloud-native and intelligent technology partnerships to deliver climate objectives, operational responsiveness, and compatibility to avoid trading economies of scale for economies of integration. The final objectives of this paper are to share key ideas about the need to balance the growing customer service direct-to-consumer business models with those for collaborative investment by market and industry. In doing this, it hopes to promote an intelligent supply chain ecosystem foundation for helping its different participating countries survive and thrive in the digital economy.
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