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Smart factory is an exemplification of the Industrial Internet of Things (IIoT), connecting devices to expedite the production process and delivery of customized products. Today’s intelligent manufacturing systems strive to develop low cost product with robust manufacturing process to compete the global market challenges. Though the quest to provide robust, reliable, adaptive, proactive, and real-time services to smart factory production processes has got little attention. To this aim, establishment of a robust solution for efficient resource utilization, load balancing and task scheduling has become a de-facto necessity. This paper presents an enhanced learning assisted task scheduling mechanism based on task Criticality and Collapse Aware Scheduling (CCAS) algorithm. The proposed mechanism is developed using two modules; namely task scheduling mechanism based on task criticality and collapse aware …