A Data-Driven Framework for Cloud MES Implementation in Smart Manufacturing Environments
Keywords:
Intelligent manufacturing workshop, Cloud MES system, Job managementAbstract
Modern manufacturing production has increasingly embraced intelligent and automated development, driven by advancements in technologies such as artificial intelligence, robotics, and the Internet of Things. However, many small and medium-sized manufacturing enterprises (SMEs) face significant challenges in achieving full-scale intelligent manufacturing due to constraints in technological capabilities and financial resources. These limitations hinder their ability to compete effectively in the evolving market landscape, where efficiency, flexibility, and innovation are critical for survival. The rapid proliferation of intelligent technologies, including Industry 4.0 and smart factory solutions, underscores the urgency for SMEs to adapt and integrate these tools into their operations. Failure to do so may result in a loss of market share and reduced competitiveness. To address this issue, this paper proposes a cloud-based Manufacturing Execution System (MES) design scheme tailored for intelligent manufacturing workshops. By leveraging cloud computing services, SMEs can overcome their own infrastructure limitations by renting cloud servers from providers, thereby enabling cost-effective access to advanced MES functionalities. This approach facilitates the gradual intelligent transformation of manufacturing workshops, ensuring that SMEs can enhance productivity, reduce operational costs, and improve decision-making without substantial upfront investment. The cloud MES system not only fills the technological gaps but also empowers SMEs to achieve sustainable growth in the competitive manufacturing sector.
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