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Heuristic Approach for Cognitive Digital Twin Technology – A Technical Report


Publication Type:



Essential for the next generation of production are intricate systems that integrate virtualization and simulation platforms with real-time data from industrial processes. Among these systems, digital twins stand out as they offer numerous advantages, particularly in the realm of manufacturing where they can enhance productivity across the entire production life cycle. By leveraging cognitive digital twins, enterprises gain the ability to extract valuable implicit insights from ongoing production operations in a creative, efficient, and effective manner. Over time, the advancement of various technologies has greatly enhanced the capabilities and sophistication of the digital twin concept. In this study, we propose a heuristic approach for advancing cognitive digital twin technology, representing the next stride in digital twin development crucial for realizing the objectives of Industry 4.0. To infuse cognitive functionalities, we advocate for the adoption of a heuristic approach in the creation of cognitive digital twins. Specifically, we introduce heuristic optimization as a feature selection tool, aimed at augmenting the cognitive capabilities of a digital twin throughout the product design phase of production. The efficacy of this proposed approach is demonstrated through a practical application in Power Transfer Unit (PTU) production. This validation resulted in a noteworthy 8.83% enhancement in classification accuracy for identifying faulty PTUs on the assembly line. This translates to a considerable improvement in throughput for the PTU assembly line, while also conserving resources that would have otherwise been expended on faulty units.


author = {Atiq Ur Rehman and Mobyen Uddin Ahmed and Shahina Begum},
title = {Heuristic Approach for Cognitive Digital Twin Technology – A Technical Report},
month = {November},
year = {2023},
url = {}