Integrating Jenkins and AWS in Siemens Opcenter MES: Bridging the digital divide through modern development and deployment pipelines

Nalluri, Satish Kumar and Bathini, Varun Teja (2025) Integrating Jenkins and AWS in Siemens Opcenter MES: Bridging the digital divide through modern development and deployment pipelines. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2064-2074. ISSN 2582-8266

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Abstract

The integration of Jenkins and Amazon Web Services (AWS) into Siemens Opcenter MES (Manufacturing Execution System) represents a transformative approach to modernizing industrial software deployment. As manufacturing systems evolve toward Industry 4.0, the need for agile, scalable, and automated deployment pipelines becomes critical. This paper explores how Continuous Integration and Continuous Deployment (CI/CD) methodologies, facilitated by Jenkins automation and AWS cloud infrastructure, can bridge the digital divide in traditional MES environments. We present a structured framework for automating build, test, and deployment processes in Siemens Opcenter, leveraging AWS services (EC2, ECS, Lambda, CloudFormation) for scalable and secure execution. Key benefits include reduced deployment times, enhanced reliability, and cost-efficient scalability, while addressing challenges such as security, compliance, and system dependencies. A real-world case study demonstrates measurable improvements in deployment speed and operational efficiency, validating the proposed approach. Finally, we discuss emerging trends, including AI-driven deployment optimization, serverless architectures, and edge computing, highlighting future directions for MES DevOps. This research provides actionable insights for manufacturing IT teams seeking to adopt modern CI/CD pipelines while maintaining robustness in industrial environments.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0767
Uncontrolled Keywords: Siemens Opcenter MES; Jenkins CI/CD; AWS Cloud Integration; Manufacturing Execution System (MES); Industry 4.0; DevOps Automation; Continuous Deployment Pipelines; Infrastructure as Code (IaC); Cloud-Based Manufacturing; Scalable Industrial DevOps
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:41
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3997