https://orcid.org/0000-0003-4909-4880
Figures & data
Table 1. Studies related to emerging technology from the automotive industry.
Figure 1. Research Flow.
Operational Flow of the Developed Model with Multiple Interconnected Sections and Functions.
Figure 2. Components involved in Industry Grade Commercial Truck.
Multiple Embedded Equipment inside Commercial Truck enabled with IoT and smart ecosystem.
Table 2. Project charter.
Figure 3. Rendered Schematic Viewpoint for the Heavy-Duty Commercial Vehicle.
Layout of IoT enabled smart vehicle during Structural Explorations with multiple viewpoints for detailed assembly procedures and verification.
Figure 4. Automobile Assembly Model (AAM) using TTL, FAI, and Smart Contract Blockchain.
Overall methodology of the developed AAM with key functions and technologies such as Smart contract and AI for smooth operations and process control.
Table 3. Raw materials implemented with FAI training percentage and valuation index.
Table 4. Insurance type and gross margin % of different components in AAM design.
Table 5. Companies market valuations for each critical component in AAM design.
Table 6. Transportation tracking with delivery rate of all dealers in AAM design.
Table 7. Dealers revenue and gross sale improvisation using FAI, TTL, and SC during AAM design.
Figure 5. Data visualisation and results comparison (before & after implementing TTL & FAI).
Overall Experimental Analysis and Test Results with Multiple Indices like Raw materials, Energy, Insurance and Dealer Margin cost.
Table 8. Energy evaluation during AAM design, testing, and evaluation.
Data availability statement
The data that support this study is available from the corresponding author, Professor Lenny Koh ([email protected]) on request.