Role of Digital Twins in SAP and Cloud based Manufacturing
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Abstract
The integration of Digital Twins in SAP and cloud-based manufacturing systems is reshaping the landscape of industrial operations by fostering real-time data synchronization and enhancing decision-making processes. A Digital Twin, a virtual representation of physical assets, systems, or processes, offers significant benefits in monitoring, simulation, and optimization within manufacturing environments. When combined with SAP's enterprise resource planning (ERP) systems and cloud-based platforms, it enables seamless data flow and provides businesses with the ability to predict performance, mitigate risks, and optimize resources. This paper explores the pivotal role of Digital Twins in improving operational efficiency, enabling predictive maintenance, and facilitating agile manufacturing strategies. By utilizing cloud computing, manufacturers can scale their digital twin solutions without the constraints of on-premise infrastructure, ensuring a flexible and cost-effective approach. SAP’s integration with Digital Twins enhances the visibility of supply chains, inventory management, and production processes, allowing manufacturers to make informed decisions quickly and accurately. Furthermore, cloud technology provides centralized access to real-time data, which is crucial for continuous improvement and innovation. This research highlights key applications of Digital Twins in manufacturing, including process optimization, product lifecycle management, and system integration. The convergence of these technologies offers unprecedented opportunities to transform traditional manufacturing models into intelligent, data-driven operations capable of responding to dynamic market demands and operational challenges.
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References
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• Siddagoni Bikshapathi, Mahaveer, Ashish Kumar, Murali Mohana Krishna Dandu, Punit Goel, Arpit Jain, and Aman Shrivastav. 2024. "Implementation of ACPI Protocols for Windows on ARM Systems Using I2C SMBus." International Journal of Research in Modern Engineering and Emerging Technology 12(5): 68-78. ISSN: 2320-6586. Retrieved from www.ijrmeet.org.
• Bikshapathi, M. S., Dave, A., Arulkumaran, R., Goel, O., Kumar, D. L., & Jain, P. A. 2024. "Optimizing Thermal Printer Performance with On-Time RTOS for Industrial Applications." Journal of Quantum Science and Technology (JQST), 1(3), Aug(70–85). Retrieved from https://jqst.org/index.php/j/article/view/91.
• Kyadasu, R., Dave, A., Arulkumaran, R., Goel, O., Kumar, D. L., & Jain, P. A. 2024. "Exploring Infrastructure as Code Using Terraform in Multi-Cloud Deployments." Journal of Quantum Science and Technology (JQST), 1(4), Nov(1–24). Retrieved from https://jqst.org/index.php/j/article/view/94.
• Kyadasu, Rajkumar, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, MSR Prasad, Sandeep Kumar, and Sangeet. 2024. "Optimizing Predictive Analytics with PySpark and Machine Learning Models on Databricks." International Journal of Research in Modern Engineering and Emerging Technology 12(5): 83. Retrieved from https://www.ijrmeet.org.
• Mane, Hrishikesh Rajesh, Shyamakrishna Siddharth Chamarthy, Vanitha Sivasankaran Balasubramaniam, T. Aswini Devi, Sandeep Kumar, and Sangeet. 2024. "Low-Code Platform Development: Reducing Man-Hours in Startup Environments." International Journal of Research in Modern Engineering and Emerging Technology 12(5): 107. Retrieved from www.ijrmeet.org.
• Mane, H. R., Kumar, A., Dandu, M. M. K., Goel, P. (Dr) P., Jain, P. A., & Shrivastav, E. A. 2024. "Micro Frontend Architecture With Webpack Module Federation: Enhancing Modularity Focusing On Results And Their Implications." Journal of Quantum Science and Technology (JQST), 1(4), Nov(25–57). Retrieved from https://jqst.org/index.php/j/article/view/95.
• Bisetty, S. S. S. S., Chamarthy, S. S., Balasubramaniam, V. S., Prasad, P. (Dr) M., Kumar, P. (Dr) S., & Vashishtha, P. (Dr) S. 2024. "Analyzing Vendor Evaluation Techniques for On-Time Delivery Optimization." Journal of Quantum Science and Technology (JQST), 1(4), Nov(58–87). Retrieved from https://jqst.org/index.php/j/article/view/96.
• Bisetty, Sanyasi Sarat Satya Sukumar, Aravind Ayyagari, Archit Joshi, Om Goel, Lalit Kumar, and Arpit Jain. 2024. "Automating Invoice Verification through ERP Solutions." International Journal of Research in Modern Engineering and Emerging Technology 12(5): 131. Retrieved from https://www.ijrmeet.org.
• Tirupathi, R., Ramachandran, R., Khan, I., Goel, O., Jain, P. A., & Kumar, D. L. (2024). Leveraging Machine Learning for Predictive Maintenance in SAP Plant Maintenance (PM). Journal of Quantum Science and Technology (JQST), 1(2), 18–55. Retrieved from https://jqst.org/index.php/j/article/view/7
• Abhishek Das, Sivaprasad Nadukuru, Saurabh Ashwini kumar Dave, Om Goel, Prof.(Dr.) Arpit Jain, & Dr. Lalit Kumar. (2024). N Optimizing Multi-Tenant DAG Execution Systems for High-Throughput Inference. Darpan International Research Analysis, 12(3), 1007–1036. https://doi.org/10.36676/dira.v12.i3.139
• Das, A., Gannamneni, N. K., Jena, R., Agarwal, R., Vashishtha, P. (Dr) S., & Jain, S. (2024). Implementing Low-Latency Machine Learning Pipelines Using Directed Acyclic Graphs. Journal of Quantum Science and Technology (JQST), 1(2), 56–95. Retrieved from https://jqst.org/index.php/j/article/view/8
• Prasad, Rohan Viswanatha, Aravind Ayyagari, Ravi Kiran Pagidi, S. P. Singh, Sandeep Kumar, and Shalu Jain. 2024. "AI-Powered Data Lake Implementations: Improving Analytics Efficiency." International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(5):1.
• Prasad, R. V., Ganipaneni, S., Nadukuru3, S., Goel, O., Singh, N., & Jain, P. A. 2024. "Event-Driven Systems: Reducing Latency in Distributed Architectures." Journal of Quantum Science and Technology (JQST), 1(3), Aug(1–19).
• Akisetty, Antony Satya Vivek Vardhan, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. 2024. "Leveraging NLP for Automated Customer Support with Conversational AI Agents." International Journal of Research in Modern Engineering and Emerging Technology 12(5).
• Akisetty, A. S. V. V., Ayyagari, A., Pagidi, R. K., Singh, D. S. P., Kumar, P. (Dr.) S., & Jain, S. 2024. "Optimizing Marketing Strategies with MMM (Marketing Mix Modeling) Techniques." Journal of Quantum Science and Technology (JQST), 1(3), Aug(20–36).
• Kar, Arnab, Ashvini Byri, Sivaprasad Nadukuru, Om Goel, Niharika Singh, and Arpit Jain. Climate-Aware Investing: Integrating ML with Financial and Environmental Data. International Journal of Research in Modern Engineering and Emerging Technology 12(5).
• Kar, A., Chamarthy, S. S., Tirupati, K. K., Kumar, P. (Dr) S., Prasad, P. (Dr) M., & Vashishtha, P. (Dr) S. Social Media Misinformation Detection NLP Approaches for Risk. Journal of Quantum Science and Technology (JQST), 1(4), Nov(88–124).
• Sayata, Shachi Ghanshyam, Rahul Arulkumaran, Ravi Kiran Pagidi, Dr. S. P. Singh, Prof. (Dr.) Sandeep Kumar, and Shalu Jain. Developing and Managing Risk Margins for CDS Index Options. International Journal of Research in Modern Engineering and Emerging Technology 12(5):189.
• Sayata, S. G., Byri, A., Nadukuru, S., Goel, O., Singh, N., & Jain, P. A. Impact of Change Management Systems in Enterprise IT Operations. Journal of Quantum Science and Technology (JQST), 1(4), Nov(125–149).
• Garudasu, S., Arulkumaran, R., Pagidi, R. K., Singh, D. S. P., Kumar, P. (Dr) S., & Jain, S. Integrating Power Apps and Azure SQL for Real-Time Data Management and Reporting. Journal of Quantum Science and Technology (JQST), 1(3), Aug(86–116).
• Dharmapuram, S., Ganipaneni, S., Kshirsagar, R. P., Goel, O., Jain, P. (Dr.) A., & Goel, P. (Dr.) P. Leveraging Generative AI in Search Infrastructure: Building Inference Pipelines for Enhanced Search Results. Journal of Quantum Science and Technology (JQST), 1(3), Aug(117–145).
• Banoth, D. N., Jena, R., Vadlamani, S., Kumar, D. L., Goel, P. (Dr.) P., & Singh, D. S. P. Performance Tuning in Power BI and SQL: Enhancing Query Efficiency and Data Load Times. Journal of Quantum Science and Technology (JQST), 1(3), Aug(165–183).
• Dinesh Nayak Banoth, Shyamakrishna Siddharth Chamarthy, Krishna Kishor Tirupati, Prof. (Dr) Sandeep Kumar, Prof. (Dr) MSR Prasad, Prof. (Dr) Sangeet Vashishtha. Error Handling and Logging in SSIS: Ensuring Robust Data Processing in BI Workflows. Iconic Research And Engineering Journals Volume 5 Issue 3 2021 Page 237-255.
• Mali, A. B., Khan, I., Dandu, M. M. K., Goel, P. (Dr.) P., Jain, P. A., & Shrivastav, E. A. Designing Real-Time Job Search Platforms with Redis Pub/Sub and Machine Learning Integration. Journal of Quantum Science and Technology (JQST), 1(3), Aug(184–206).
• Shaik, A., Khan, I., Dandu, M. M. K., Goel, P. (Dr.) P., Jain, P. A., & Shrivastav, E. A. The Role of Power BI in Transforming Business Decision-Making: A Case Study on Healthcare Reporting. Journal of Quantum Science and Technology (JQST), 1(3), Aug(207–228).
• Subramani, P., Balasubramaniam, V. S., Kumar, P., Singh, N., Goel, P. (Dr) P., & Goel, O. The Role of SAP Advanced Variant Configuration (AVC) in Modernizing Core Systems. Journal of Quantum Science and Technology (JQST), 1(3), Aug(146–164).
• Bhat, Smita Raghavendra, Rakesh Jena, Rajas Paresh Kshirsagar, Om Goel, Arpit Jain, and Punit Goel. 2024. "Developing Fraud Detection Models with Ensemble Techniques in Finance." International Journal of Research in Modern Engineering and Emerging Technology 12(5):35.
• Bhat, S. R., Ayyagari, A., & Pagidi, R. K. 2024. "Time Series Forecasting Models for Energy Load Prediction." Journal of Quantum Science and Technology (JQST), 1(3), Aug(37–52).
• Abdul, Rafa, Arth Dave, Rahul Arulkumaran, Om Goel, Lalit Kumar, and Arpit Jain. 2024. "Impact of Cloud-Based PLM Systems on Modern Manufacturing Engineering." International Journal of Research in Modern Engineering and Emerging Technology 12(5):53.
• Abdul, R., Khan, I., Vadlamani, S., Kumar, D. L., Goel, P. (Dr.) P., & Khair, M. A. 2024. "Integrated Solutions for Power and Cooling Asset Management through Oracle PLM." Journal of Quantum Science and Technology (JQST), 1(3), Aug(53–69).
• Satish Krishnamurthy, Krishna Kishor Tirupati, Sandhyarani Ganipaneni, Er. Aman Shrivastav, Prof. (Dr) Sangeet Vashishtha, & Shalu Jain. “Leveraging AI and Machine Learning to Optimize Retail Operations and Enhance.” Darpan International Research Analysis, 12(3), 1037–1069. https://doi.org/10.36676/dira.v12.i3.140
• Krishnamurthy, S., Nadukuru, S., Dave, S. A. kumar, Goel, O., Jain, P. A., & Kumar, D. L. “Predictive Analytics in Retail: Strategies for Inventory Management and Demand Forecasting.” Journal of Quantum Science and Technology (JQST), 1(2), 96–134. Retrieved from https://jqst.org/index.php/j/article/view/9
• Gaikwad, Akshay, Shreyas Mahimkar, Bipin Gajbhiye, Om Goel, Prof. (Dr.) Arpit Jain, and Prof. (Dr.) Punit Goel. “Optimizing Reliability Testing Protocols for Electromechanical Components in Medical Devices.” International Journal of Applied Mathematics & Statistical Sciences (IJAMSS) 13(2):13–52. IASET. ISSN (P): 2319–3972; ISSN (E): 2319–3980.
• Gaikwad, Akshay, Pattabi Rama Rao Thumati, Sumit Shekhar, Aman Shrivastav, Shalu Jain, and Sangeet Vashishtha. “Impact of Environmental Stress Testing (HALT/ALT) on the Longevity of High-Risk Components.” International Journal of Research in Modern Engineering and Emerging Technology 12(10): 85. Online International, Refereed, Peer-Reviewed & Indexed Monthly Journal. ISSN: 2320-6586. Retrieved from www.ijrmeet.org.
• Dharuman, N. P., Mahimkar, S., Gajbhiye, B. G., Goel, O., Jain, P. A., & Goel, P. (Dr) P. “SystemC in Semiconductor Modeling: Advancing SoC Designs.” Journal of Quantum Science and Technology (JQST), 1(2), 135–152. Retrieved from https://jqst.org/index.php/j/article/view/10
• Ramachandran, R., Kshirsagar, R. P., Sengar, H. S., Kumar, D. L., Singh, D. S. P., & Goel, P. P. (2024). Optimizing Oracle ERP Implementations for Large Scale Organizations. Journal of Quantum Science and Technology (JQST), 1(1), 43–61. Retrieved from https://jqst.org/index.php/j/article/view/5.
• Kendyala, Srinivasulu Harshavardhan, Nishit Agarwal, Shyamakrishna Siddharth Chamarthy, Om Goel, Prof. (Dr.) Punit Goel, and Prof. (Dr.) Arpit Jain. (2024). Leveraging OAuth and OpenID Connect for Enhanced Security in Financial Services. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 12(6): 16. ISSN 2320-6586. Available at: www.ijrmeet.org.
• Kendyala, Srinivasulu Harshavardhan, Krishna Kishor Tirupati, Sandhyarani Ganipaneni, Aman Shrivastav, Sangeet Vashishtha, and Shalu Jain. (2024). Optimizing PingFederate Deployment with Kubernetes and Containerization. International Journal of Worldwide Engineering Research, 2(6): 34–50. doi: [N/A]. (Impact Factor: 5.212, e-ISSN: 2584-1645). Retrieved from: www.ijwer.com.
• Ramachandran, Ramya, Ashvini Byri, Ashish Kumar, Dr. Satendra Pal Singh, Om Goel, and Prof. (Dr.) Punit Goel. (2024). Leveraging AI for Automated Business Process Reengineering in Oracle ERP. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 12(6): 31. Retrieved October 20, 2024 (https://www.ijrmeet.org).
• Ramachandran, Ramya, Archit Joshi, Indra Reddy Mallela, Satendra Pal Singh, Shalu Jain, and Om Goel. (2024). Maximizing Supply Chain Efficiency Through ERP Customizations. International Journal of Worldwide Engineering Research, 2(7): 67–82. https://www.ijwer.com.
• Ramalingam, B., Kshirsagar, R. P., Sengar, H. S., Kumar, D. L., Singh, D. S. P., & Goel, P. P. (2024). Leveraging AI and Machine Learning for Advanced Product Configuration and Optimization. Journal of Quantum Science and Technology (JQST), 1(2), 1–17. Retrieved from https://jqst.org/index.php/j/article/view/6.
• Ramalingam, Balachandar, Ashvini Byri, Ashish Kumar, Satendra Pal Singh, Om Goel, and Punit Goel. (2024). Achieving Operational Excellence through PLM Driven Smart Manufacturing. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET), 12(6): 47.
• Ramalingam, Balachandar, Archit Joshi, Indra Reddy Mallela, Satendra Pal Singh, Shalu Jain, and Om Goel. (2024). Implementing AR/VR Technologies in Product Configurations for Improved Customer Experience. International Journal of Worldwide Engineering Research, 2(7): 35–50.
• Abhijeet Bajaj, Dr Satendra Pal Singh, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Om Goel, & Prof.(Dr) Punit Goel. 2024. Advanced Algorithms for Surge Pricing Optimization in Multi-City Ride-Sharing Networks. Darpan International Research Analysis 12(3):948–977. https://doi.org/10.36676/dira.v12.i3.137.
• Bajaj, Abhijeet, Aman Shrivastav, Krishna Kishor Tirupati, Pronoy Chopra, Prof. (Dr.) Sangeet Vashishtha, and Shalu Jain. 2024. Dynamic Route Optimization Using A Search and Haversine Distance in Large-Scale Maps. International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) 12(7):61. https://www.ijrmeet.org.
• Bajaj, Abhijeet, Om Goel, Sivaprasad Nadukuru, Swetha Singiri, Arpit Jain, and Lalit Kumar. 2024. AI-Based Multi-Modal Chatbot Interactions for Enhanced User Engagement. International Journal of Current Science (IJCSPUB) 14(3):90. https://www.ijcspub.org.
• Bajaj, Abhijeet, Raghav Agarwal, Nanda Kishore Gannamneni, Bipin Gajbhiye, Sangeet Vashishtha, and Shalu Jain. 2024. Depth-Based Annotation Techniques for RGB-Depth Images in Computer Vision. International Journal of Worldwide Engineering Research 2(6):1–16.