Analysis of quantitative metrics for assessing resilience of human-centered CPPS workstations

Abstract

Manufacturing companies’ preparedness level against external and internal disruptions is complex to assess due to a lack of widely recognized or standardized models. Resilience as the measure to characterize preparedness against disruptions is a concept with various numerical approaches, but still lacking in the industry standard. Therefore, the main contribution of the research is the comparison of existing resilience metrics and the selection of the practically usable quantitative metric that allows manufacturers to start assessing the resilience in digitally supported human-centered workstations more easily. An additional contribution is the detection and highlighting of disruptions that potentially influence manufacturing workstations the most. Using five weighted comparison criteria, the resilience metrics were pairwise compared based on multi-criteria decision-making Analytic Hierarchy Process analysis on a linear scale. The general probabilistic resilience assessment method Penalty of Change that received the highest score considers the probability of disruptions and related cost of potential changes as inputs for resilience calculation. Additionally, manufacturing-related disruptions were extracted from the literature and categorized for a better overview. The Frequency Effect Sizes of the extracted disruptions were calculated to point out the most influencing disruptions. Overall, resilience quantification in manufacturing requires further research to improve its accuracy while maintaining practical usability.

Research trends in industry 5.0 and its application in the construction industry

“…Resilience is the ability of a system to recover quickly from a mishap or a continued significant difficulty (Touriki et al ., 2021). Resilience could also mean the level of preparedness against disruptions, or the ability to absorb the impact of a disruption, adaptation to a disruption and recovery to its normal regime (Aruväli et al. , 2023).…”

“…Resilience is the ability of a system to recover quickly from a mishap or a continued significant difficulty (Touriki et al, 2021). Resilience could also mean the level of preparedness against disruptions, or the ability to absorb the impact of a disruption, adaptation to a disruption and recovery to its normal regime (Aruv€ ali et al, 2023). Disruption and mishap may be induced by natural occurrence such as flooding, financial challenges such as the global melt down or health-related circumstances such as the COVID -19 Pandemic.…”