A quantitative approach to resilience in manufacturing systems

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

“… Authors of the article Year No. of findings Intensity effect size of all findings Intensity effect size > 20% Peng et al 48 2021 1 0.01 0.14 Zhang et al 49 2021 12 0.14 0.57 Alexopoulos et al 50 2021 3 0.03 0.43 Latsou et al 36 2021 3 0.03 0.14 Song et al 19 2020 1 0.01 0 Okorie et al 51 2020 3 0.03 0.43 Diaz-Elsayed et al 52 2020 2 0.02 0.14 Caputo et al 53 2019 1 0.01 0.14 Li et al 54 2019 5 0.06 0.29 Yoon et al 12 2017 1 0.01 ...…”

“… Article Methods Strengths Limitations Zhang et al 49 Based on max-plus algebra Uses a digital twin based automatic resilience evaluation system It focuses on system internal disruptions only. Needs historical datasets regarding fault modes to evaluate resilience Alexopoulos et al 50 Generic algorithm (probabilistic) It combines both technological and economical terms and requires no large and complex amounts of data for calculations. Disruptions are observed as an ignition for system changes.…”

“…The other HRGO attributes are cost, time, and reliability. Based on HRGO, service composition and optimal selection is tested in a company Chery Automobile Co, where two scenarios are considered and compared Caputo et al 50 Resilience (Caputo et al) where C(t) is nominal capacity, t 0 is time of disruption and (t r –t 0 ) is recovery interval Resilience is a performance measure representing the system ability to survive disruptive events, and the rapidity in restoring system capacity after the disruptive event has occurred N/A Li et al 54 -Estimation of expected system resilience where n is the number of the deterministic resilience, R A is the expectation of system resilience and reflects the average resilience of the system, is an estimate of R A and is calculated by taking the average of the deterministic resilience under different disturbances Technical resilience refers to the ability of the system to perform at an acceptable level when the disturbance occurs. Economic resilience refers to the capacity of the system to reduce both direct and indirect economic losses resulting from the disturbance In automatic tire tread handling system subjected to random disturbances, the resilience was evaluated based on 1000 Monte Carlo-based simulation runs and proposed disturbance mode and effects analysis Yoon et al 12 Ψ FA —resilience measure that considers false alarms where Pr(ĤH) is probabilities of “system normal” operation and Pr(E mr ḞF) is system restoration rate Engineering resilience is the ability of a component or a system to maintain its required functionality by resisting and recovering from adverse events Two case studies were employed and resilience calculated.…”

Digital Transformation of Production Planning and Control in Manufacturing SMEs-The Mold Shop Case

“…Recently, the COVID-19 pandemic has influenced dramatically the daily operations of manufacturing firms [13] mandating them to drastically increase their efforts in their digital transformation. Five industrial case studies showcasing the use of advanced information and operational technologies in manufacturing are presented in [14], demonstrating the increased automated support because of increased automation levels.…”

Towards Digital Twin-Driven Performance Evaluation Methodology of FMS

“…The multi-criteria nature of production-planning problems, the complexity of these problems, and the need to make decisions online spur the development of techniques and methods for building dedicated DSSs (Banaszak, 1992;Bujari et al, 2012;Jensen, 1987;Laemmle & Gust, 2019). Hence, the relevant computer-aided tools should be designed to allow an integrated online analysis of alternative scenarios for completing production orders and early detection of errors in the order execution method used (Alexopoulos et al, 2022). Similar expectations apply to solutions focused on computer-aided modelling, exploring feasible alternatives, and evaluating the functioning of operational control algorithms implemented in real-time industrial controllers (Heiner et al, 1992).…”