Optimum periodic maintenance policy of repairable multi-component system with component reallocation and system overhaul

2021 ◽  
pp. 108224
Author(s):  
Yuqiang Fu ◽  
Jun Wang
Keyword(s):  
Maintenance Policy ◽  
Component System ◽  
Periodic Maintenance ◽  
Multi Component System

scholarly journals Opportunistic Maintenance Policy for a Multi-Component System Subject to Random Failures

2017 ◽  
Vol 4 (2) ◽  
pp. 80-91
Author(s):  
H. Eldhadaf ◽  
R. Benmansour ◽  
H. Allaoui ◽  
M. Tkiouat ◽  
A. Artiba
Keyword(s):  
Optimization Procedure ◽  
Spare Part ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Two Parameters ◽  
Scheduled Time ◽  
Random Failures ◽  
Multi Component System

In this paper, an opportunistic maintenance policy (OMP) for a multi-component system is studied. The objective is to minimize the maintenance cost while guaranteeing a minimum level of reliability for the system and for each of its components. Each component is subject to random failures and at most one spare part of it should be kept in stock or ordering at any time. The lifetime of this system will be divided into several periods. At the beginning of each period, the set of actions (among many others) must be determined in order to achieve the objective mentioned above. The policy OMP is characterized by two parameters; the first one is the scheduled time for spare ordering and the second one is the period of realization of the maintenance action (if any). These parameters will be derived from the joint optimization of maintenance cost and the inventory cost for each component. Finally, a numerical example to explain the proposed maintenance policy and the optimization procedure is provided.

scholarly journals A MULTI-OBJECTIVE APPROACH TO OPTIMIZE A PERIODIC MAINTENANCE POLICY

2012 ◽  
Vol 19 (06) ◽  
pp. 1240002 ◽  
Author(s):  
ANTONELLA CERTA ◽  
MARIO ENEA ◽  
GIACOMO GALANTE ◽  
TONI LUPO
Keyword(s):  
Programming Model ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Multi Objective ◽  
System A ◽  
Periodic Maintenance ◽  
Finite Time Horizon ◽  
Multi Component System

The present paper proposes a multi-objective approach to find out an optimal periodic maintenance policy for a repairable and stochastically deteriorating multi-component system over a finite time horizon. The tackled problem concerns the determination of the system elements to replace at each scheduled and periodical system inspection by ensuring the simultaneous minimization of both the expected total maintenance cost and the expected global system unavailability time. It is assumed that in the case of system elements failure they are instantaneously detected and repaired by means of minimal repair actions in order to rapidly restore the system. A nonlinear integer mathematical programming model is developed to solve the treated multi-objective problem, whereas the Pareto optimal frontier is described by the Lexicographic Goal Programming and the ε-constraint methods. To explain the whole procedure, a case study is solved and the related considerations are given.

scholarly journals Opportunistic Maintenance Policy for A Multi-Component System Subject To Random Failures

2021 ◽  
Vol 4 (1) ◽  
pp. 15-27
Author(s):  
H. Elhadaf ◽  
R. Benmansour ◽  
H. Allaoui ◽  
M. Tkiouat ◽  
A. Artiba
Keyword(s):  
Optimization Procedure ◽  
Spare Part ◽  
Maintenance Cost ◽  
Maintenance Policy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Two Parameters ◽  
Scheduled Time ◽  
Random Failures ◽  
Multi Component System

In this paper we study an opportunistic maintenance policy (OMP) for a multi-component system. The objective is to minimize the maintenance cost while guaranteeing a minimum level of reliability for the system and for each of its components. We suppose that each component is subject to random failures and at most one spare part of it should be kept in stock or ordering at any time. The lifetime of this system will be divided into several periods. At the beginning of each period we must determine the set of actions (among many others) that will achieve the objective mentioned above. The policy OMP is characterized by two parameters; the first one is the scheduled time for spare ordering and the second one is the period of realization of the maintenance action (if any). These parameters will be derived from the joint optimization of maintenance cost and the inventory cost for each component. Finally, we will give a numerical example to explain the proposed maintenance policy and the optimization procedure.

Multiponental Model Of Education According To The New Paradigm

2021 ◽  
Vol 03 (03) ◽  
pp. 365-370
Author(s):  
Ashurova Dilfuza Nabiyevna ◽  
◽  
Abjalilov Sanakul Xujamovich ◽  
Toshtemirova Kamola Ergashevna ◽  
◽  
...  
Keyword(s):  
Educational System ◽  
Modern Society ◽  
Educational Process ◽  
New Paradigm ◽  
Component System ◽  
Educational Processes ◽  
Multi Component System

In this work on the example of educational system of Uzbekistan the new paradigm of education is substantiated in the following edition: education through all life. It is demonstrated that the proposed in correspondence to this paradigm the formalized model reflects multi-component system, multi-variant approaches and cyclist of educational process in a modern society. The examples of educational processes which are modeled within the framework of proposed formalized model of education are presented.

scholarly journals Statistical physics of fracture and earthquakes

2018 ◽  
Vol 377 (2136) ◽  
pp. 20180202
Author(s):  
Soumyajyoti Biswas ◽  
Lucas Goehring ◽  
Bikas K. Chakrabarti
Keyword(s):  
Complex System ◽  
Stress Field ◽  
Statistical Physics ◽  
Disordered Materials ◽  
Emergent Properties ◽  
Theme Issue ◽  
Component System ◽  
Playing Field ◽  
Collective Response ◽  
Multi Component System

Manifestations of emergent properties in stressed disordered materials are often the result of an interplay between strong perturbations in the stress field around defects. The collective response of a long-ranged correlated multi-component system is an ideal playing field for statistical physics. Hence, many aspects of such collective responses in widely spread length and energy scales can be addressed by the tools of statistical physics. In this theme issue, some of these aspects are treated from various angles of experiments, simulations and analytical methods, and connected together by their common base of complex-system dynamics. This article is part of the theme issue ‘Statistical physics of fracture and earthquakes’ .

Thermal Investigation of a Honing Process Utilizing Polyborosiloxane Impregnated with Abrasive Particles

1996 ◽  
Vol 210 (1) ◽  
pp. 43-50
Author(s):  
A Fioravanti ◽  
A J Fletcher
Keyword(s):  
Thermal Effects ◽  
Complex Geometry ◽  
Target Surface ◽  
Polishing Process ◽  
Complete Coverage ◽  
Component System ◽  
Abrasive Particles ◽  
Temperature Distributions ◽  
Particulate Form ◽  
Multi Component System

A novel honing and polishing process utilizes polyborosiloxane impregnated with a range of abrasives in particulate form, to polish mould cavities of complex geometry. The polymer, which deforms in such a way as to allow complete coverage of the target surface, is used to carry the abrasive. This compound is agitated using an ultrasonic source and is made to flow relative to the target surface. The process causes heating of the various components in the system. This is the second paper concerned with the prediction of the resultant temperature distributions. The work reported here is an extension of the previous work to take into account the complex geometry of the multi-component system used in the operation. Furthermore, the development of the honing process required the introduction of flow of polishing compound relative to the workpiece. As a result the previous work has been extended to take into account the thermal effects of this flow. The modelling work has been complemented by measurement of temperatures in a geometry that is representative of the processing requirements. The calculated and measured results have been compared and the model validated accordingly.

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