Design and Implementation of a Cloud-Based Manufacturing Execution System for SMEs

This study proposes a multi-tenant, modular, microservices-based, cloud-based MES system designed to meet the digital transformation needs of small and medium-sized manufacturing enterprises (SMEs). The platform is designed as a microservices-based Software-as-a-Service (SaaS) solution accessible via a standard web browser. The platform provides RESTful API support to facilitate easy integration with other applications. A key contribution of the proposed model is its ability to provide real-time data processing and advanced analytics capability. The system provides instantly monitoring of basic production data such as production tracking, downtime-quality analysis, and Overall Equipment Effectiveness (OEE) calculations. In addition to OEE components analysis, the platform supports resource planning and automation processes, document viewing on operator terminals, and event-based alarms for critical production events. Implementation results demonstrates that SME’s can obtain actionable production insights(e.g., OEE trends, downtime loss) with a low deployment effort and scable cloud architecture.

Authors

Publication Details

Journal
DergiPark (Istanbul University)
Published
2025-10-22
Primary Topic
Digital Transformation in Industry
Type
article
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article

Design and Implementation of a Cloud-Based Manufacturing Execution System for SMEs

Devrim Naz Akdas, Semih UTKU
DergiPark (Istanbul University)
Digital Transformation in Industry
article

Design and Implementation of a Cloud-Based Manufacturing Execution System for SMEs

Devrim Naz Akdas, Semih UTKU
article en

Abstract

This study proposes a multi-tenant, modular, microservices-based, cloud-based MES system designed to meet the digital transformation needs of small and medium-sized manufacturing enterprises (SMEs). The platform is designed as a microservices-based Software-as-a-Service (SaaS) solution accessible via a standard web browser. The platform provides RESTful API support to facilitate easy integration with other applications. A key contribution of the proposed model is its ability to provide real-time data processing and advanced analytics capability. The system provides instantly monitoring of basic production data such as production tracking, downtime-quality analysis, and Overall Equipment Effectiveness (OEE) calculations. In addition to OEE components analysis, the platform supports resource planning and automation processes, document viewing on operator terminals, and event-based alarms for critical production events. Implementation results demonstrates that SME’s can obtain actionable production insights(e.g., OEE trends, downtime loss) with a low deployment effort and scable cloud architecture.

DergiPark (Istanbul University)
Decent work and economic growth
Openalex Percentile: Top 25%
Digital Transformation in Industry
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Design and Implementation of a Cloud-Based Manufacturing Execution System for SMEs — Devrim Naz Akdas, Semih UTKU · DergiPark (Istanbul University) (2025) | TGRS Research Map | TGRS