ABSTRACT
Smart manufacturing has gained prominence, thanks to recent industrial developments. Smart manufacturing makes production more efficient and sustainable and provides competitive advantages for manufacturers. We propose five constructs and 29 criteria for an evaluation model of smart manufacturing. The five constructs of smart manufacturing are smart design, smart production, smart factory, smart services, and Industrial Interment of Things (IIoT) management.
We use both Analytic Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL) in this study. First, we used the AHP to analyze weights between the constructs and between the criteria of smart manufacturing. Second, we used DEMATEL to analyze the causal relationships between the same. Then, we built up an evaluation model for smart manufacturing. Our results show that IIoT is the first priority for developing smart manufacturing in the five constructs. Regarding the criteria, (1) IIoT: sensors are prioritized for hardware development while software development focuses on user privilege management. Software and hardware are combined for device management and the establishment of a standard communication protocol. (2) Smart production: the development of advanced process control is prioritized and machine learning used to optimize the process and create smart machines. (3) Smart factory: the development of digital transformation is prioritized and the resulting content used for update or increase in IT infrastructure. Finally, we provide an evaluation model for building smart manufacturing in the future.
