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dc.contributor.author Setiawan, Ricky
dc.date.accessioned 2025-12-15T08:55:37Z
dc.date.available 2025-12-15T08:55:37Z
dc.date.issued 2025
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/13272
dc.description.abstract In the context of Manufacturing, Industry 4.0 played a crucial role in transforming operations, especially under Lean Manufacturing practices, where real-time system visibility and flexible configuration are important to eliminate waste and streamline operations. This thesis presents the development of a lean web-based dashboard to monitor and configure hardware in an OCR based automated sorting system for a manufacturing warehouse. This thesis focuses on the implementation of a real-time monitoring interface and the configuration of hardware components to support remote operations. The dashboard was developed using ASP.NET MVC, JavaScript, MQTT, and supports modular interaction with IoT connected device. The system delivers real time sorting data, error notifications, and toy number tracking, promoting lean practices through faster feedback, better traceability, and minimized human input. Findings indicate better operational oversight and consistency with Industry 4.0 and lean manufacturing principles. en_US
dc.language.iso en en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technologies;001202200068
dc.subject Lean en_US
dc.subject Monitoring en_US
dc.subject OCR en_US
dc.subject Hardware en_US
dc.subject Industry 4.0 en_US
dc.subject Warehouse en_US
dc.title LEANFORGE VISION en_US
dc.type Thesis en_US


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