Optimisation of opportunistic maintenance of a multi-component system considering the effect of failures on quality and production schedule: A case study

2013 ◽  
Vol 69 (5-8) ◽  
pp. 1743-1756 ◽  
Author(s):  
Pravin P. Tambe ◽  
Satish Mohite ◽  
Makarand S. Kulkarni
Keyword(s):  
Production Schedule ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Multi Component System

A condition-based opportunistic maintenance strategy for multi-component system

2018 ◽  
Vol 18 (1) ◽  
pp. 270-283 ◽  
Author(s):  
Hongshan Zhao ◽  
Fanhao Xu ◽  
Botong Liang ◽  
Jianping Zhang ◽  
Peng Song
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Condition Based Maintenance ◽  
Threshold Function ◽  
Maintenance Cost ◽  
Maintenance Strategy ◽  
Opportunistic Maintenance ◽  
Component System ◽  
Condition Indicator ◽  
Multi Component System

As a new dynamic maintenance strategy, the condition-based opportunistic maintenance strategy for multi-component system is presented in this work. In the strategy, the degeneration of each component is described by Weibull proportional hazards model or Weibull proportional intensity model, and the condition indicator is defined to characterize the operating state of each component. Then, when and how to maintain a component can be confirmed by comparing the value of the condition indicator with that of the maintenance threshold function. Condition-based maintenance will be implemented on a component if the value of its condition indicator exceeds that of its condition-based maintenance threshold function. Meanwhile, opportunistic maintenance will also be implemented on a component if the value of its condition indicator exceeds that of its opportunistic maintenance threshold function. The two maintenance threshold functions can be determined by minimizing maintenance cost. Finally, taking the wind turbine as an example of a multi-component system, simulation analyses are described to validate the feasibility and effectiveness of the condition-based opportunistic maintenance strategy.

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 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.

scholarly journals Lifetime Benefit Analysis of Intelligent Maintenance: Simulation Modeling Approach and Industrial Case Study

2021 ◽  
Vol 11 (8) ◽  
pp. 3487
Author(s):  
Helge Nordal ◽  
Idriss El-Thalji
Keyword(s):  
Simulation Model ◽  
Simulation Modeling ◽  
Study Data ◽  
Opportunistic Maintenance ◽  
Maintenance Strategies ◽  
Modeling Approach ◽  
Intelligent Maintenance ◽  
Diagnosis And Prognosis ◽  
Case Study Data

The introduction of Industry 4.0 is expected to revolutionize current maintenance practices by reaching new levels of predictive (detection, diagnosis, and prognosis processes) and prescriptive maintenance analytics. In general, the new maintenance paradigms (predictive and prescriptive) are often difficult to justify because of their multiple inherent trade-offs and hidden systems causalities. The prediction models, in the literature, can be considered as a “black box” that is missing the links between input data, analysis, and final predictions, which makes the industrial adaptability to such models almost impossible. It is also missing enable modeling deterioration based on loading, or considering technical specifications related to detection, diagnosis, and prognosis, which are all decisive for intelligent maintenance purposes. The purpose and scientific contribution of this paper is to present a novel simulation model that enables estimating the lifetime benefits of an industrial asset when an intelligent maintenance management system is utilized as mixed maintenance strategies and the predictive maintenance (PdM) is leveraged into opportunistic intervals. The multi-method simulation modeling approach combining agent-based modeling with system dynamics is applied with a purposefully selected case study to conceptualize and validate the simulation model. Three maintenance strategies (preventive, corrective, and intelligent) and five different scenarios (case study data, manipulated case study data, offshore and onshore reliability data handbook (OREDA) database, physics-based data, and hybrid) are modeled and simulated for a time period of 20 years (175,200 h). Intelligent maintenance is defined as PdM leveraged in opportunistic maintenance intervals. The results clearly demonstrate the possible lifetime benefits of implementing an intelligent maintenance system into the case study as it enhanced the operational availability by 0.268% and reduced corrective maintenance workload by 459 h or 11%. The multi-method simulation model leverages and shows the effect of the physics-based data (deterioration curves), loading profiles, and detection and prediction levels. It is concluded that implementing intelligent maintenance without an effective predictive horizon of the associated PdM and effective frequency of opportunistic maintenance intervals, does not guarantee the gain of its lifetime benefits. Moreover, the case study maintenance data shall be collected in a complete (no missing data) and more accurate manner (use hours instead of date only) and used to continuously upgrade the failure rates and maintenance times.

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.

Sign in / Sign up

Export Citation Format

Share Document