Paper Info
Title
Multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem.
Abstract
This research develops a novel stochastic reliability-centered maintenance (RCM) mechanism within a new multi-objective joint maintenance and production planning problem. RCM in this integrated problem is an agent that monitors and manages the maintenance functions of a stochastic complex production-planning problem, namely flexible job shop scheduling problem (FJSP). The novel developed RCM takes benefit of stochastic condition based maintenance (CBM) approach that works based on stochastic shocking scheme of machines during their process time. It activates the maintenance activities, including preventive and corrective maintenance, according to the degradation level of system reliability after shocks and not merely according to the predetermined intervals. In addition to the maintenance activation times, the maintenance durations of different kinds are also modeled stochastically. Furthermore, different types of stochastic maintenance costs are also considered alongside system reliability and complementation time (Cmax). Moreover, as the problem belongs to the NP-Hard class of optimization problems, four multi-objective simulation based optimization (SBO) algorithms, called multi-objective biogeography based optimization (MOBBO) algorithm, Pareto envelope-based selection algorithm (PESA), new version of non-dominated sorting genetic algorithm (NSGAIII) and multi-objective evolutionary algorithm based on decomposition (MOEAD) are employed to solve the underlying problem. A novel visualization approach joint by Gant chart is also proposed to discuss the whole RCM scheme, systematically. Different test problems, statistical tests and outputs explain the problem and algorithms' performance explicitly.
Year
DOI
Venue
2018
10.1016/j.swevo.2018.02.010
Swarm and Evolutionary Computation
Keywords
Field
DocType
Reliability-centered maintenance (RCM),Stochastic production model,Condition-based maintenance (CBM),Shocking mechanism,Multi-objective simulation-based optimization (SBO),Multi-objective evolutionary algorithms
Mathematical optimization,Condition-based maintenance,Evolutionary algorithm,Computer science,Selection algorithm,Simulation-based optimization,Production planning,Corrective maintenance,Optimization problem,Genetic algorithm
Journal
Volume
ISSN
Citations 
40
2210-6502
1
PageRank 
References 
Authors
0.36
47
3
Name
Order
Citations
PageRank
Seyed Habib A. Rahmati11657.56
Abbas Ahmadi26010.01
Behrooz Karimi334024.52