The combination of artificial intelligence (AI) with microwave heating technology is offering a unique and specialized potential, leading to significant transformations across numerous sectors. This novel device integrates artificial intelligence technology with environmentally sustainable microwave heating, offering the potential to decrease human labour, improve precision, minimize expenses, and promote efficiency. Furthermore, it makes a substantial contribution towards achieving environmental objectives via the reduction of carbon emissions and the conservation of energy. This research investigates the economic viability of an innovative microwave heating system that utilizes artificial intelligence technology. Additionally, it evaluates the system's competitive strengths when compared to established industrial heating systems. Key insights are identified via the use of qualitative research methods, namely through the implementation of semi-structured interviews with a sample size of six industry specialists. Thematic analysis is employed to analyse the collected data. The VRIO framework is used to identify the competitive advantages of the decentralized AI microwave heating system. The results of the study demonstrate that this technological innovation not only effectively mitigates carbon emissions but also resonates with environmentally aware individuals, hence fostering the principles of sustainability. Furthermore, the use of artificial intelligence (AI) not only improves the overall user experience but also provides autonomous monitoring capabilities, hence significantly increasing energy efficiency. From an economic standpoint, the implementation of decentralized AI microwave entities results in a reduction of transportation costs, hence enhancing their economic viability. Nevertheless, the achievement of effective commercialization requires meticulous examination of market dynamics, consumer trends, operational capabilities, supply chain optimization, and maintenance preparedness.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-514024 |
| Date | January 2023 |
| Creators | Madagashira Satish, Harshith Rao |
| Publisher | Uppsala universitet, Institutionen för samhällsbyggnad och industriell teknik |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | SAMINT-MILI ; 23040 |
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