Digital operations scheduling, workflow management, and performance measures of factors responsible for disruption in Industry 4.0 supply chain

Abstract

With evermore digitization cyber security threats and risks are on the rise on which systems for businesses and automated services rely upon. The demand of optimal management and allocation of resources on time outpaces the traditional methods of IT security management. Therefore, an essential component of defense against cyber security disruptions in industry 4.0 is the identification and assessment of types of features of IT and cloud infrastructure directly or indirectly exploited in the intervention process. The usability of the enrolled employee may help analyze early detection of such malicious attempts into the system by tools and techniques available in applied statistics and mathematics. Therefore, optimization of all essential features, most importantly skilled manpower, time and cost of maintenance in order to arrange for best mitigation strategy for pre and post attack situation is covered in this work using introduction of models and performance metrics based on scheduling using heuristics.