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Operators of cyber-physical production system (CPPS) will use handheld interactive control panels for supervising production processes. These interactive and handheld control panels will present numerous sensors data. Processing of such complex data for task fulfilment in critical scenario will cause cognitive workload on operators. The prevalent industry efficiency measures so far have focused on human physical workload measures; the human cognitive load has not been considered in industrial practices. Smart factories in the near future will begin to integrate intelligent machines with complex communication network systems between human and machines. In this paper, we argue that the changing industrial scenario requires developing new measures of production efficiency. As a result, we propose a theoretical framework for a smart factory efficiency measure as a function of the combined efficiencies of the human cognitive system, smart machines, and their shared communication systems.
Kumar et al. (Thu,) studied this question.
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