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Maintenance optimization for a multi-unit system with digital twin simulation

Jyrki Savolainen () and Michele Urbani ()
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Jyrki Savolainen: Lappeenranta University of Technology, School of Business and Management
Michele Urbani: University of Trento

Journal of Intelligent Manufacturing, 2021, vol. 32, issue 7, No 12, 1953-1973

Abstract: Abstract Optimization of operations and maintenance (O&M) in the industry is a topic that has been largely studied in the literature. Many authors focused on reliability-based approaches to optimize O&M, but little attention has been given to study the influence of macroeconomic variables on the long-term maintenance policy. This work aims to optimize time-based maintenance (TBM) policy in the mining industry. The mine environment is reproduced employing a virtual model that resembles a digital twin (DT) of the system. The effect of maintenance decisions is replicated by a discrete event simulation (DES), whereas a model of the financial operability of the mine is realized through System Dynamics (SD). The simultaneous use of DES and the SD allows us to reproduce the environment with high-fidelity and to minimize the cost of O&M. The selected illustrative case example demonstrates that the proposed approach is feasible. The issues of using high dimensional simulation data from DT-models in managerial decision making is identified and discussed.

Keywords: Maintenance optimization; Digital twin; Simulation; Optimization (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10845-021-01740-z

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