Digital twin and digital shadow infrastructure as drivers for industrial resilience, optimization, and inclusiveness: the case of Ethiopia’s manufacturing industry
摘要
This paper aims to develop the digital twin and digital shadow infrastructure for resilient industrial stimulation, resource allocation, and manufacturability within the Ethiopian supply chain. A hybrid methodology combining qualitative and quantitative methods in SPSS, the Analytic Hierarchy Process (AHP), and mind mapping will be employed as the research approach. Findings revealed that digital twin and digital shadow strategies implementation enhanced the production visualization (75%), raw material utilization (50%), and process innovation (66.67%), but unfortunately, only on the last third of the supply chain optimization (33.33%) yielding industrial resilience which turned out to be 66.67%. especially in production processes, digital twin infrastructure has proven use cases for significant increases in flexibility and innovation, along with 0.0261 outcome execution and cumulative worker-level reliability. These results demonstrate the potential of digital technologies to promote sustainable and inclusive growth in manufacturing, offering relevant implications for both researchers and practitioners.