Evaluating Automation Using Supply Chain Cloud Solutions |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-7 |
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| Year of Publication : 2024 | ||
| Authors : Utkarsh Mathur, Abhiram Reddy Peddireddy, Rahul Chaudhary | ||
| DOI : 10.14445/22312803/IJCTT-V72I7P106 | ||
How to Cite?
Utkarsh Mathur, Abhiram Reddy Peddireddy, Rahul Chaudhary, "Evaluating Automation Using Supply Chain Cloud Solutions," International Journal of Computer Trends and Technology, vol. 72, no. 7, pp. 53-62, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I7P106
Abstract
The supply chain landscape is transforming significantly due to the increasing adoption of cloud-based solutions and advancements in automation. This paper evaluates the impact of these solutions on automating various supply chain processes. Literature review shows that cloud computing enhances supply chain integration, enabling better visibility, collaboration, and real-time decision-making. Cloud-based solutions offer access to the latest technologies and functionalities while being cost-effective and scalable. Organizations prioritize creating “smarter” supply chains by leveraging digital technologies to optimize operations, enhance responsiveness, and improve customer service. This paper systematically reviews cloud-based supply chain solutions from Google, Microsoft, AWS, and SAP, evaluating their impact on automation initiatives based on key features, popularity, and integration capabilities. SAP S/4HANA is the most widely adopted ERP system, especially among large enterprises with complex needs. It offers deep integration within the SAP ecosystem, comprehensive APIs, and strong support for non-SAP systems. Google Supply Chain and Logistics Cloud are ideal for organizations using Google services. It leverages seamless integration with Google Cloud and a growing partner ecosystem. Dynamics 365 Supply Chain Management excels in integrating with Microsoft products, making it attractive for companies heavily reliant on Microsoft technologies. AWS Supply Chain Management is compelling for enterprises using AWS infrastructure, offering tight integration with AWS services and robust data integration capabilities. Each solution shows robust integration capabilities tailored to its ecosystem. The choice depends on an organization’s existing technology landscape, required integration level, and specific needs. While SAP S/4HANA is popular among large enterprises, Google, Microsoft, and AWS are gaining traction, offering viable alternatives for diverse technology preferences and integration requirements.
Keywords
Microsoft Dynamic 365 Supply Chain Management, Google Supply Chain and Logistics Cloud, AWS Supply Chain Management, SAP S/4 Hana, Supply Chain Logistics.
Reference
[1] Supply Chain Management: The Definitive Guide, SolutionDots, 2023. [Online]. Available: https://solutiondots.com/blog/supply-chain-management/
[2] Zohreh Molamohamadi et al., Logistics and Supply Chain Management, Springer Cham, 2020.
[Google Scholar] [Publisher Link]
[3] A. Jabeena et al., “Smart Supply Chain Mana gement Using Wireless Communication Systems,” 2017 International Conference on Inventive Computing and Informatics (ICICI), Coimbatore, India, pp. 553-557, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Luis Antonio De Santa-Eulalia et al., Advanced Supply Chain Planning Systems (APS) Today and Tomorrow, Supply Chain Management: Pathways for Research and Practice, InTech, pp. 171-189, 2011.
[Google Scholar] [Publisher Link]
[5] Mohsen Attaran, “Digital Technology Enablers and their Implications for Supply Chain Management,” Supply Chain Forum: An International Journal, vol. 21, no. 3, pp. 158-172, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Akanksha Mishra, Roadmap for Digital Transformation in Supply Chain Management, Valuebound, 2022. [Online]. Available: https://www.valuebound.com/resources/blog/roadmap-digital-transformation-supply-chain-management
[7] Vivek Vadi et al., “Low-Cost Asset Tracking and Inventory Management System (ATIM),” Journal of Physics: Conference Series: 3rd International Conference on Computational & Experimental Methods in Mechanical Engineering, Uttar Pradesh, India, pp. 1-7, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Irina Neaga et al., “Cloud Enabled Big Data Business Platform for Logistics Services: A Research and Development Agenda,” Decision Support Systems V – Big Data Analytics for Decision Making: First International Conference, Belgrade, Serbia, pp. 22-33, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Amazon Web Services, “Serverless Streaming Architectures and Best Practices,” pp. 1-42, 2018.
[Publisher Link]
[10] Nikos Armenatzoglou et al., Amazon Redshift Re-Invented, Amazon Science, 2022. [Online]. Available: https://www.amazon.science/publications/amazon-redshift-re-invented
[11] Vipin Bihari et al., “Fortifying the Cloud: Unveiling the Next-Generation Security Model of AWS,” International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences, vol. 11, no. 3, pp. 1-12, 2023.
[CrossRef] [Publisher Link]
[12] AWS Well-Architected Framework, Amazon AWS Documentation, 2024. [Online]. Available: https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html
[13] Sourav Mukherjee, “Benefits of AWS in Modern Cloud,” ArXiv Preprint, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Jingjing Hao et al., “Adoption of Automatic Warehousing Systems in Logistics Firms: A Technology–Organization–Environment Framework,” Sustainability, vol. 12, no. 12, pp. 1-14, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Overview of Amazon Web Services, Amazon AWS Documentation, 2014. [Online]. Available: https://docs.aws.amazon.com/whitepapers/latest/aws-overview/introduction.html
[16] Er. Krishan Kumar, and Shipra, “Detailed Study of Cloud Storage Services on AWS Cloud (Amazon Web Services),” International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 7, no. 6, pp. 291-293, 2021.
[Publisher Link]
[17] Digital Commerce Solutions on AWS, Amazon Web Services. [Online]. Available: https://aws.amazon.com/retail/digital-commerce/
[18] Karen Butner, “The Smarter Supply Chain of the Future,” Strategy & Leadership, vol. 38, no. 1, pp. 22-31, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Dhanesh Thatikonda, “AI-Supply chain Risk Management during Pandemic,” European Journal of Electrical Engineering & Computer Science, vol. 4, no. 6, pp. 1-3, 2020.
[CrossRef] [Google Scholar] [Publisher Link]