We present in this paper an automated framework for linking supply chain events to production management. While events in the supply chain are detected using statistical process control, the control loop to production is closed using ideas inspired from run-to-run control. The proposed framework is expected to offer a higher level of flexibility with respect to demand changes. This results in increased on-time delivery for customers.However, most of the existing M2M protocols that can be also used in the Industrial IoT domain provide security mechanisms based on asymmetric cryptography resulting in high computational cost. As a consequence, the resource-constrained IoT devices are not able to support them appropriately and thus, many security issues arise for the Industrial IoT environment. Therefore, lightweight security mechanisms are required for M2M communications in Industrial IoT in order to reach its full potential.
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