The incumbent trend in process industry is to deploy Information and communication technology (ICT)
enabled wired process control systems. Distributed control system, Supervisory control and data
acquisition systems with wireless open loop control systems are commonly used to facilitate the same.
However, wireless closed loop control systems have not yet been introduced in the process industry. The
major theme of this work is to model the enablers of implementing ICT enabled control system in the
process industry based on their interrelationships. Interpretive structural modeling (ISM) methodology
is applied for the development of structural relationship among the enablers from a strategic
perspective. Fuzzy MICMAC analysis is then carried out to categorize these factors based on their
driving and dependence value. The paper is concluded with an action plan for enhancing high driving
power elements and managerial implications.
Modeling of Enablers for Implementing ICT Enabled Wireless Control in Industry: an Integrated ISM and Fuzzy MICMAC Approach
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