Virtual Maintenance Process Modeling and Simulation

2010 ◽  
Vol 44-47 ◽  
pp. 527-531 ◽  
Author(s):  
Dong Zhou ◽  
Mei Hui Wang ◽  
Lin Huo ◽  
Chuan Lv
Keyword(s):  
Modeling And Simulation ◽  
Control Method ◽  
Model And Simulation ◽  
Scheduling Method ◽  
A New Technique ◽  
Conflict Strategies ◽  
Virtual Maintenance ◽  
Maintenance Model ◽  
Maintenance Process

Virtual maintenance technique brings new mode for system maintainability design and analysis, however, the theory of virtual maintenance is not fully studied and researches are deficiency in the key field of virtual maintenance modeling and simulation. So virtual maintenance model and simulation control method are studied in the paper. Virtual maintenance model is based on Petri Net and can describe the relations of maintenance resources, and the model structure, formal definition, maintenance object, resource state and model operation are given. In addition, virtual maintenance simulation rules and simulation scheduling method are built in the paper. Simulation scheduling objective, flow and conflict features of maintenance process simulation are analyzed, and conflict strategies are addressed subsequently. Finally, a case study of the LRU repair of an aircraft is conducted, and the result confirms the validation and feasibility of all the studies, which can become a new technique means for maintainability engineering.

Maintenance Simulation and Maintainability Design Based on Virtual Reality

2011 ◽  
Vol 467-469 ◽  
pp. 457-461 ◽  
Author(s):  
Dong Zhou ◽  
Mei Hui Wang ◽  
Zhi Qi Guo ◽  
Chuan Lv
Keyword(s):  
Control Mechanism ◽  
Control Method ◽  
State Action ◽  
Model And Simulation ◽  
A New Technique ◽  
Design Defects ◽  
Virtual Maintenance ◽  
Maintenance Model ◽  
Task Simulation

Virtual maintenance technology based on the concept of concurrent engineering can change the traditional maintainability "serial" design approach which cause the cycle is long, costly and difficult to change the design defects and shortcomings, and also meet the timing and economics of product development needs. However, the theory of virtual maintenance is not fully studied and researches are deficiency in the field of virtual maintenance modeling and simulation. So this article discusses the concept and connotation of virtual maintenance, and virtual maintenance model and simulation control method are studied in the paper. The model of maintenance task simulation called MTN (Maintenance Task Net) is present, and the factors including State, Action and Condition that are defined in MTN are demonstrated. In addition, the paper constructs the fire rules and the control mechanism of virtual maintenance simulation which is driven by MTN. Finally, a case study of the LRU repair of an aircraft is conducted, and the result confirms the validation and feasibility of all the studies, which can become a new technique means for maintainability design and analysis.

Virtual Maintenance Concepts and Methods

2010 ◽  
Vol 26-28 ◽  
pp. 714-719 ◽  
Author(s):  
Dong Zhou ◽  
Jian Ming Shi ◽  
Jie Geng ◽  
Chuan Lv
Keyword(s):  
Petri Net ◽  
Simulation Method ◽  
New Technique ◽  
Model And Simulation ◽  
A New Technique ◽  
Key Techniques ◽  
Virtual Maintenance ◽  
Maintenance Model

The paper first demonstrates some relevant concepts with virtual maintenance, and further discusses the concepts and connotations of virtual maintenance. As the key techniques, virtual maintenance model and simulation method are studied in the paper. Virtual maintenance model (VMM) is present, and the model is based on Petri Net and can describe the relations of maintenance resources. In addition, virtual maintenance simulation rules are built in the paper. Finally, a case study of the LRU repair of an aircraft is conducted, and the result confirms the validation and feasibility of all the studies, which can become a new technique means for maintainability engineering.

Study on Information System with Condition-Based Maintenance Models for a Continuously Degrading System

2013 ◽  
Vol 703 ◽  
pp. 227-230 ◽  
Author(s):  
Ao Lin Huang ◽  
Qing Min Li ◽  
Tie Bing Li
Keyword(s):  
Information System ◽  
Preventive Maintenance ◽  
Process Models ◽  
Condition Based Maintenance ◽  
Optimal Solutions ◽  
Model And Simulation ◽  
Maintenance Time ◽  
Degrading System ◽  
Maintenance Model

This paper considers on-condition maintenance of a continuously degrading information system, in which the inter-maintenance time and the maintenance time depend on the condition of the system at which maintenance is carried out. The durations of preventive maintenance activities are supposed to be exponentially distributed. Assuming deterioration of the system follows a gamma process, models are established to maximize the system average availability when the effectiveness of the preventive maintenance activity becomes weaker and weaker. Optimal solutions on the condition of the system at which maintenance should be performed and the number of times of maintenance action to be carried out are obtained based on Monte-Carlo simulation. A case study is given to show the procedure of the maintenance model and simulation.

The Research of Multi-Car Elevator Control Method Based on PSO-GA

2014 ◽  
Vol 556-562 ◽  
pp. 2418-2421 ◽  
Author(s):  
Jian Liu ◽  
Zi Long Bai ◽  
Meng Hua Gu ◽  
Xu Zhang ◽  
Rui Zhang
Keyword(s):  
Control Method ◽  
Simulation Analysis ◽  
Scheduling Algorithm ◽  
Utilization Rate ◽  
Particle Swarm Algorithm ◽  
Algorithm Optimization ◽  
High Rise ◽  
Scheduling Method ◽  
A New Technique ◽  
Elevator Group Control

Multi-car elevator system is a new technique which can reduce the occupied area and improve the transport efficiency in the high-rise and super high-rise buildings. It is remain to be studied in both the control strategy and scheduling method compared with the traditional single elevator group control system, In order to improve the utilization rate and shorten the waiting time, the particle swarm algorithm PSO and GA genetic algorithm optimization control method are studied aiming at the rationality of scheduling strategy of the rationality of elevator. Combining the advantages of two algorithms proposed a novel optimal scheduling algorithm for PSO-GA and carried on simulation analysis, the experimental results demonstrate the effectiveness of the new method of improved PSO-GA.

Thermal Frequency Imaging: A New Application of Laser Voltage Imaging Applied on 40nm Technology

2011 ◽  
Author(s):  
Guillaume Celi ◽  
Sylvain Dudit ◽  
Thierry Parrassin ◽  
Philippe Perdu ◽  
Antoine Reverdy ◽  
...  
Keyword(s):  
Charge Carrier ◽  
Laser Beam ◽  
Integrated Circuit ◽  
Carrier Density ◽  
Deep Submicron ◽  
Charge Carrier Density ◽  
Voltage Imaging ◽  
A New Technique ◽  
Scan Chain

Abstract For Very Deep submicron Technologies, techniques based on the analysis of reflected laser beam properties are widely used. The Laser Voltage Imaging (LVI) technique, introduced in 2009, allows mapping frequencies through the backside of integrated circuit. In this paper, we propose a new technique based on the LVI technique to debug a scan chain related issue. We describe the method to use LVI, usually dedicated to frequency mapping of digital active parts, in a way that enables localization of resistive leakage. Origin of this signal is investigated on a 40nm case study. This signal can be properly understood when two different effects, charge carrier density variations (LVI) and thermo reflectance effect (Thermal Frequency Imaging, TFI), are taken into account.

Modelling and Simulation of NO2 Dispersion Phenomenon in Atmosphere by Analytical-Experimental Methods

2008 ◽  
Vol 59 (10) ◽  
Author(s):  
Delia Perju ◽  
Harieta Pirlea ◽  
Gabriela-Alina Brusturean ◽  
Dana Silaghi-Perju ◽  
Sorin Marinescu
Keyword(s):  
Mathematical Model ◽  
Nitrogen Dioxide ◽  
Modeling And Simulation ◽  
Human Health ◽  
Experimental Methods ◽  
Negative Effects ◽  
Real Situation ◽  
Experimental Values ◽  
The Mathematical Model

The European laws and recently the Romanian ones impose more and more strict norms to the large nitrogen dioxide polluters. They are obligated to continuously improve the installations and products so that they limit and reduce the nitrogen dioxide pollution, because it has negative effects on the human health and environment. In this paper are presented these researches made within a case study for the Timi�oara municipality, regarding the modeling and simulation of the nitrogen dioxide dispersion phenomenon coming from various sources in atmosphere with the help of analytical-experimental methods. The mathematical model resulting from these researches is accurately enough to describe the real situation. This was confirmed by comparing the results obtained based on the model with real experimental values.

Urban Traffic Modeling and Simulation: Moroccan Capital Case Study

2018 ◽  
Author(s):  
Aboutaib Brahim ◽  
Bahili Lahoucine ◽  
Fonlupt Cyril ◽  
Virginie Marion ◽  
Sebastiaan Verelst
Keyword(s):  
Modeling And Simulation ◽  
Urban Traffic ◽  
Traffic Modeling ◽  
Capital Case

scholarly journals A Dispatching-Fuzzy AHP-TOPSIS Model for Scheduling Flexible Job-Shop Systems in Industry 4.0 Context

2021 ◽  
Vol 11 (11) ◽  
pp. 5107
Author(s):  
Miguel Ortíz-Barrios ◽  
Antonella Petrillo ◽  
Fabio De Felice ◽  
Natalia Jaramillo-Rueda ◽  
Genett Jiménez-Delgado ◽  
...  
Keyword(s):  
Job Shop ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Flexible Job Shop ◽  
Criteria Weights ◽  
Dispatching Algorithm ◽  
Scheduling Method ◽  
Hard Problems ◽  
Fourth Step

Scheduling flexible job-shop systems (FJSS) has become a major challenge for different smart factories due to the high complexity involved in NP-hard problems and the constant need to satisfy customers in real time. A key aspect to be addressed in this particular aim is the adoption of a multi-criteria approach incorporating the current dynamics of smart FJSS. Thus, this paper proposes an integrated and enhanced method of a dispatching algorithm based on fuzzy AHP (FAHP) and TOPSIS. Initially, the two first steps of the dispatching algorithm (identification of eligible operations and machine selection) were implemented. The FAHP and TOPSIS methods were then integrated to underpin the multi-criteria operation selection process. In particular, FAHP was used to calculate the criteria weights under uncertainty, and TOPSIS was later applied to rank the eligible operations. As the fourth step of dispatching the algorithm, the operation with the highest priority was scheduled together with its initial and final time. A case study from the smart apparel industry was employed to validate the effectiveness of the proposed approach. The results evidenced that our approach outperformed the current company’s scheduling method by a median lateness of 3.86 days while prioritizing high-throughput products for earlier delivery.

Sign in / Sign up

Export Citation Format

Share Document