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Four different case studies were used to test this maintenance system model customized for maintaining the RVS machine.
In view of this, this paper aims to develop a maintenance system model that could be used to effectively maintain the RVS machine when used in surface and underground mines.
The maintenance system model unfolds the predictive (i.e. diagnosis and prognosis) algorithms, the e-maintenance strategic tools as well as the dynamic maintenance strategic algorithms required to effectively maintain the RVS machine.
This means, there is a need to design and develop a maintenance system model that could be used to effectively maintain the RVS machine when utilized in surface and underground mines.
However, the experimentation of this maintenance system model (embedded with algorithms, e-maintenance tools) needs to be explored when the RVS machine is utilized in both surface and underground mines.
Four different case studies were presented in this paper to illustrate the applicability of this maintenance system model in maintaining and managing the RVS machine when utilized in the mining industries.
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The last section presents a suitable maintenance management system model that could be adopted to effectively maintain the RVS machine.
In view of this, the current paper proposes a maintenance management system model that could be adopted to maintain the RVS machine when utilized in the mining industries.
From an engineering point of view, it also highlights the need to integrate the partial and heterogeneous models of maintenance processes in a global model of maintenance system to be considered as an Enterprise domain.
As to the garbage trucks operation management issues the researches are carried out on the enhancement of designs, maintenance and repair system, models and methods of work route schedules development.
This paper presents an expert system model for the maintenance and management of existing facilities.
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CEO of Professional Science Editing for Scientists @ prosciediting.com