Simulation optimization for the MRO scheduling problem based on multi-fidelity models

Huang, Zewen; Jinxiang, Ding; Song, Jie; Shi, Leyuan; Chen, Chun‐Hung

doi:10.1109/icit.2016.7474992

Cited by 2 publications

(4 citation statements)

References 17 publications

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“…Huang et al [8] presented a simulation optimization for maintenance, repair and overhaul scheduling problem based on multi credit models. A simulation model with a high degree of credibility, which is probable and timeconsuming.…”

Section: Literature Reviewmentioning

confidence: 99%

“…[10] Three-stage flow shop8 Luh et al[1] Three-stage flow shop 9 Rahman et al[15] Three-stage flow shop -Providing improved meta-heuristic algorithms to solve large-scale problems -Considering parallel machines in the second and third stages -Regarding the three-stage flow shop for equipment overhaul -Presenting a new model to accurately solve the problem in small dimensions…”

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confidence: 99%

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The Equipment Scheduling and Assignment Problem in the Overhaul Industry

Torkashvand

Shamami

Bigdeli

2023

IJE

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In this article, equipment overhaul is considered in a multi-stage flow shop scheduling problem. In this problem, the equipments are disassembled in the first stage, overhaul and repairs are done on the equipment in parallel workshops in the second stage, and the assembly operation is done in parallel workshops in the third stage. Considering a three-stage overhaul with parallel machines in the second and third stages is new in the overhaul industry. The sequence of equipment processing is determined in the first stage, as well as the allocation and sequence of equipment in the second and third stages should be done in such a way that the total completion time of jobs is minimized. Unlike most articles, the sequence of processing jobs is not the same in all stages and changes with the use of decoding. For the next innovation: in order to solve the problem, a new mathematical model is presented. Two new improved algorithms, Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are presented to solve the problem in large dimensions. By using the shortest processing time (SPT) heuristic, these two algorithm have been improved and Hybrid GA (HGA) and Hybrid PSO (HPSO) algorithms have been presented. In order to achieve better results with the current conditions, the parameters setting is done by one-way analysis of variance (ANOVA). Finally, it is possible to improve the performance of the equipment by applying the discussed issues.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%

The Equipment Scheduling and Assignment Problem in the Overhaul Industry

Torkashvand

Shamami

Bigdeli

2023

IJE

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“…Furthermore, the complexity of process routings in MRO processes can be straightforwardly defined in the ACO algorithm.Research on scheduling problem of MRO processes is scarce in the literature. Among the limited results, simulation optimization was usually adopted to formulate scheduling problem [4][5][6][7][8]. Liu et al [4] used hybrid algorithms based on nested partition framework to address stochastic routings and variable processing times.…”

mentioning

confidence: 99%

“…Liu et al [4] used hybrid algorithms based on nested partition framework to address stochastic routings and variable processing times. Multi-fidelity optimization based on ordinal transformation and optimal sampling proposed by Huang et al [8] was shown to achieve feasible solutions with low tardiness. Li et al [9] implemented the genetic algorithm to optimize the scheduling of MRO resources considering the complexity of products.…”

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confidence: 99%

Ant Colony Optimization Algorithm for Maintenance, Repair and Overhaul Scheduling Optimization in the Context of Industrie 4.0

2019

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Maintenance, Repair, and Overhaul (MRO) is a crucial sector in the remanufacturing industry and scheduling of MRO processes is significantly different from conventional manufacturing processes. In this study, we adopted a swarm intelligent algorithm, Ant Colony Optimization (ACO), to solve the scheduling optimization of MRO processes with two business objectives: minimizing the total scheduling time (make-span) and total tardiness of all jobs. The algorithm also has the dynamic scheduling capability which can help the scheduler to cope with the changes in the shop floor which frequently occur in the MRO processes. Results from the developed algorithm have shown its better solution in comparison to commercial scheduling software. The dependency of the algorithm’s performance on tuning parameters has been investigated and an approach to shorten the convergence time of the algorithm is emerging.

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Simulation optimization for the MRO scheduling problem based on multi-fidelity models

Cited by 2 publications

References 17 publications

The Equipment Scheduling and Assignment Problem in the Overhaul Industry

The Equipment Scheduling and Assignment Problem in the Overhaul Industry

Ant Colony Optimization Algorithm for Maintenance, Repair and Overhaul Scheduling Optimization in the Context of Industrie 4.0

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