Procedia Computer Science · 2019 · 13 citations · 4 references
EngineeringManufacturing EngineeringSupply Chain ManagementAutomationComputer-integrated ManufacturingManufacturing SystemsFactory AutomationIndustrial AutomationManufacturing AutomationManufacturing Execution SystemsManufacturing Information SystemsManufacturing System IntegrationConceptual Model DevelopmentEnterprise Resource Planning IntegrationIndustrial Automation SystemsIntelligent Manufacturing SystemsIs ModelManufacturing Execution Systems IntegrationShop Floor Data CollectionShop Floor Information Systems
In the era of Industrial 4.0, today many manufacturing companies in Korea are transitioning to automation. As per automation, more and more companies have successfully adopted a manufacturing execution system (MES) and Enterprise Resource Planning (ERP), however, current MES cannot fully support integration into overall processes across the supply chain. As rolling stock manufacturers in Korea are faced with fierce competition, it becomes increasingly important to cope with various demands from clients for real-time shop floor situation. There has been much previous research on data collection, data analysis based on shop floor situation mostly in the semiconductor industry, however, little research dealt with rolling stock manufacturing setting. Thus, in this paper, we will introduce a new design of state of the art smart MES (or S-MES) for rolling stock manufacturer by collaborating various functions and To-Be model is provided for comparison with As-Is model.
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