Optimizing the performance of complex maintenance systems

Triki, Chefi; Alalawin, Abdallah; Ghiani, Gianpaolo

doi:10.1109/icmsao.2013.6552571

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Alalawin et al [20] use integer programming with a nonlinear probabilistic constraint to solve spare parts stock and the LORA problem simultaneously. Their approach is very similar of Triki et al [19] except for the multi-echelon environment and some extensions. As we noted earlier, there is no study that considers variables such as repair times, system usage schedule, availability of maintenance personnel, and replenishment time of parts simultaneously in multi-echelon, multi-indenture, and a multi-objective environment that can be used in PBL.…”

Section: A Brief Literature Review On Pbl and Joint Optimisation Of S...mentioning

confidence: 98%

See 1 more Smart Citation

Multi-objective optimisation of spare parts allocation and level of repair analysis in performance-based logistics

Malyemez

Baykoç

2022

Aeronaut. j.

View full text Add to dashboard Cite

In recent years, Performance Based Logistics (PBL) has been increasingly used to reduce the product lifecycle cost. As a result, the existing logistics analysis methods need to be reassessed due to the difference in PBL from the classical approach. This study considers the Spare Parts Allocation (SPA) and Level of Repair Analysis (LORA), which are the most commonly used problems within PBL, and are the subject of analysis. A comprehensive, multi-objective simulation-optimisation model is developed for a military aircraft operations case study, with the objectives of minimising total cost and maximising total flight hours. The Design of Experiment (DOE) method is used for determining simulation-optimisation parameters. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used for the first time in order to select the best design points. Simulated Annealing (SA) was used for multi-objective optimisation with the SPA model being solved first. Then the LORA problem was added to this model as a decision variable and the effects of the integrated solution (SPA+LORA) were examined. The results show that the integrated solution yields remarkably better results in terms of flight hours and cost when compared to the SPA optimisation approach alone. Moreover, the proposed model provides a profit-centric approach and can be efficiently used as a decision support tool for both customers and suppliers for difficult and complex logistics support activities.

show abstract

Section: A Brief Literature Review On Pbl and Joint Optimisation Of S...mentioning

confidence: 98%

“…Triki et al [19] solve single-echelon, multi-indenture problem using optimisation via simulation outputs. Alalawin et al [20] use integer programming with a nonlinear probabilistic constraint to solve spare parts stock and the LORA problem simultaneously.…”

Section: A Brief Literature Review On Pbl and Joint Optimisation Of S...mentioning

confidence: 99%

Multi-objective optimisation of spare parts allocation and level of repair analysis in performance-based logistics

Malyemez

Baykoç

2022

Aeronaut. j.

View full text Add to dashboard Cite

show abstract

Methodology to improve machine changeover performance on food industry based on SMED

Lozano

Sáenz-Díez

Martínez

et al. 2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

State of the art in simulation-based optimisation for maintenance systems

Alrabghi

Tiwari

2015

Computers & Industrial Engineering

181

110

View full text Add to dashboard Cite

Recently, more attention has been directed towards improving and optimising maintenance in manufacturing systems using simulation. This paper aims to report the state of the art in simulation-based optimisation of maintenance by systematically classifying the published literature and outlining main trends in modelling and optimising maintenance systems. The authors investigate application areas and published real case studies as well as researched maintenance strategies and policies. Much of the research in this area is focusing on Preventive Maintenance and optimising Preventive Maintenance frequency that will lead to the minimum cost. Discrete Event Simulation was the most reported technique to model maintenance systems whereas modern optimisation methods such as Genetic Algorithms was the most reported optimisation method in the literature. On this basis, the paper identifies the current gaps and discusses future prospects. Further research can be done to develop a framework that guides the experimenting process with different maintenance strategies and policies. More real case studies can be conducted on multi-objective optimisation and Condition Based Maintenance especially in a production context.

show abstract

Optimizing the performance of complex maintenance systems

Cited by 4 publications

References 9 publications

Multi-objective optimisation of spare parts allocation and level of repair analysis in performance-based logistics

Multi-objective optimisation of spare parts allocation and level of repair analysis in performance-based logistics

Methodology to improve machine changeover performance on food industry based on SMED

State of the art in simulation-based optimisation for maintenance systems

Contact Info

Product

Resources

About