A1 Journal article (refereed), original research

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

Open Access hybrid publication

Publication Details
Authors: Savolainen Jyrki, Urbani Michele
Publisher: Springer Verlag (Germany)
Publication year: 2021
Language: English
Related Journal or Series Information: Journal of Intelligent Manufacturing
ISSN: 0956-5515
JUFO-Level of this publication: 2
Open Access: Open Access hybrid publication
Location of the parallel saved publication: http://urn.fi/URN:NBN:fi-fe202102235685


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.

Last updated on 2021-18-03 at 08:48