International Science Community Association Research Journal of Engineering Sciences 15 1 2026 01 26 From Smart Home to Smart warehouse: A Comprehensive DIY case study on IoT-Enabled Digital Twins 30 36 EN Quipo June C. 1 College of Engineering, Nueva Vizcaya State University, Bayombong, Nueva Vizcaya, 3700, Philippines Jagtap Viplove Kumar 1 Department of Civil Engineering, Sushila Devi Bansal College of Engineering, Indore, MP, India Golghate Kavita 2 Department of Civil Engineering, Sushila Devi Bansal College of Engineering, Indore, MP, India Gupta Vikesh 3 Department of Applied Science & Humanities, Sushila Devi Bansal College of Engineering, Indore, MP, India Awasthi Naveen 1 Department of Chemistry, Janta College Bakewar (206124), Etawah, India Kumar Sheo 1 Basic Education PS-Agauna Dist-Basti, Uttar Pradesh -272301 India Jagani Ashish 1 Department of Mechanical Engineering, Marwadi University, Rajkot, India and Department of Production Engineering, Shantilal Shah Engineering College, Bhavnagar, India Rachchh Nikunj 2 Department of Mechanical Engineering, Marwadi University, Rajkot, India > Case Study 2025 12 11 2026 01 26 The rapid growth of the Internet of Things (IoT) and digital twin (DT) technologies has transformed domestic and industrial environments. Although proprietary smart home solutions and traditional warehouse management systems (WMS) exist, they are often expensive and locked within vendor ecosystems. This study presents a mechanical engineering-oriented study of IoT-enabled automation, treating the home as a micro-digital twin laboratory and extending the same principles to warehouse automation. By leveraging advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), the smart home concept has been extended to the warehousing sector. Conventional appliances and systems were retrofitted with actuators, sensors, and IoT modules to enable automation using Alexa, Google Home, Siri, and Bixby. The key implementations include(1) a cleaning robot with SLAM-based mapping, (2) an automated plant-watering system using soil moisture sensing and fluid actuation, and (3) HVAC load control with PID regulation. Mathematical models (kinematics, fluid flow, and thermal loads), block diagrams, and simulations were used to validate the behavior of the system. Cost–benefit analysis shows that DIY retrofits achieve ~85% functionality at ~30–40% of the cost of commercial systems. Finally, analogies to warehouse digital twins are drawn, demonstrating how cleaning robots parallel AGVs, how watering systems are scaled to cold storage climate control, and how smart locks align with industrial access systems. An analogy between home and warehouse automation was then established: cleaning robots were scaled to Automated Guided Vehicles (AGVs), watering loops were mapped to warehouse climate control, and smart locks were extended to industrial access management. This demonstrates that smart homes can serve as micro digital twin laboratories for mechanical engineers, enabling the prototyping of control systems before scaling them to industrial cyber–physical systems. The findings underline the contributions of mechanical engineering in kinematics, fluid dynamics, thermodynamics, control, and system integration, which drive the transformation of Industry 4.0. Copyright@ International Science Community Association