Volume 35, Issue 4 (IJIEPR 2024)                   IJIEPR 2024, 35(4): 12-28 | Back to browse issues page

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Islahudin N, Nugroho D S, Arifin Z, Rahadian H, Suprijono H. Real-Time Scheduling Approach in Internet of Things-Enabled Production Monitoring Systems. IJIEPR 2024; 35 (4) :12-28
URL: http://ijiepr.iust.ac.ir/article-1-1931-en.html
Real-Time Scheduling Approach in Internet of Things-Enabled Production Monitoring Systems
Nur Islahudin 1, Dony Satriyo Nugroho2 , Zaenal Arifin2 , Helmy Rahadian3 , Herwin Suprijono2
1- Universitas Dian Nuswantoro , nur.islahudin@dsn.dinus.ac.id
2- Universitas Dian Nuswantoro
3- Faculty of Engineering, Universitas Dian Nuswantoro, Semarang
Abstract:   (885 Views)
The Internet of Things (IoT) emerged as a pivotal catalyst in shaping the landscape of Industrial Revolution 4.0. Its integration within the manufacturing sector holds transformative potential for enhancing productivity on the production shop floor. Real-time monitoring of production processes becomes feasible through the implementation of IoT. Allows companies to promptly assess whether production outcomes align with predetermined plans, facilitating agile adjustments for swift improvements. In the face of volatile consumer demand, the company can efficiently strategize planned production approaches in response to significant shifts in consumer needs. This study endeavours to design a robust real-time production monitoring system employing the Internet of Things paradigm. The system's architecture emphasizes embedding sensors within the production floor processes to discern product types. Subsequently, a web platform enables seamless dissemination of production data to all relevant components. By leveraging real-time monitoring capabilities through IoT, the company gains the agility to swiftly decide and adapt production strategies, especially amid dynamic shifts in consumer demand.
 
Keywords: Production Scheduling, Internet of things, production monitoring system
Full-Text [PDF 843 kb]   (198 Downloads)    
Type of Study: Research | Subject: Manufacturing Process & Systems
Received: 2023/12/4 | Accepted: 2024/09/11 | Published: 2024/12/10
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