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2021 | OriginalPaper | Buchkapitel

16. Solving Multi-objective Optimal Design and Maintenance for Systems Based on Calendar Times Using NSGA-II

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Abstract

Due to technical progress and business competition, design alternatives and maintenance strategies have to be contemplated to optimize the performance of physical assets when new facilities are projected and built. That combined optimization (Design & Maintenance) is required by all industrial installations to develop their activity in an increasingly competitive environment. The Design and Maintenance combined optimization process is a complex problem which requires research and development. The objectives to optimize are Unavailability (due to production losses) and Maintenance Cost (due to overcharge when it is not optimal). The Design and Maintenance strategy for a technical system are optimized jointly by modifying its Functionability Profile, which is closely related to the system’s availability. The Functionability Profile is generated by applying Monte Carlo Simulation that allows characterizing the process’ randomness until the failure and to modify that Functionability Profile by the optimal Maintenance strategy. An application case is presented, where several configurations of the elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) are used to optimize the multi-objective problem, successfully finding non-dominated solutions with optimum performance for the simultaneous Design and Maintenance strategy combination.

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Literatur
1.
Zurück zum Zitat Misra KB (2008) Reliability engineering: a perspective. handbook of performability engineering, vol 2008. Springer, pp 253–259 Misra KB (2008) Reliability engineering: a perspective. handbook of performability engineering, vol 2008. Springer, pp 253–259
2.
Zurück zum Zitat Kuo W, Prasad VR (2000) An annotated overview of system-reliability optimization. IEEE Trans Reliab 49(2):176–87CrossRef Kuo W, Prasad VR (2000) An annotated overview of system-reliability optimization. IEEE Trans Reliab 49(2):176–87CrossRef
3.
Zurück zum Zitat Kuo W, Wan R (2007) Recent advances in optimal reliability allocation. Computational intelligence in reliability engineering, vol 2007. Springer, pp 1–36 Kuo W, Wan R (2007) Recent advances in optimal reliability allocation. Computational intelligence in reliability engineering, vol 2007. Springer, pp 1–36
4.
Zurück zum Zitat Greiner D, Galván B, Winter G (2003) Safety systems optimum design by multicriteria evolutionary algorithms. Evolutionary multi-criterion optimization. Lecture Notes in Computer Science, vol 2632. Springer, pp 722–736 Greiner D, Galván B, Winter G (2003) Safety systems optimum design by multicriteria evolutionary algorithms. Evolutionary multi-criterion optimization. Lecture Notes in Computer Science, vol 2632. Springer, pp 722–736
5.
Zurück zum Zitat Greiner D, Periaux P, Quagliarella D, Magalhaes-Mendes J, Galván B (2018) Evolutionary algorithms and metaheuristics: applications in engineering design and optimization. Math Probl Eng 2018:1–4CrossRef Greiner D, Periaux P, Quagliarella D, Magalhaes-Mendes J, Galván B (2018) Evolutionary algorithms and metaheuristics: applications in engineering design and optimization. Math Probl Eng 2018:1–4CrossRef
6.
Zurück zum Zitat Greiner D, Galván B, Périaux P, Gauger N, Giannakoglou K, Winter G (2015) Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Computational Methods in Applied Sciences, vol 36. Springer Greiner D, Galván B, Périaux P, Gauger N, Giannakoglou K, Winter G (2015) Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences. Computational Methods in Applied Sciences, vol 36. Springer
8.
Zurück zum Zitat Boliang L, Jianping W, Ruixi L, Jiaxi W, Hui W, Xuhui Z (2019) Optimization of high-level preventive maintenance scheduling for highspeed trains. Reliab Eng Syst Saf 183:261–275CrossRef Boliang L, Jianping W, Ruixi L, Jiaxi W, Hui W, Xuhui Z (2019) Optimization of high-level preventive maintenance scheduling for highspeed trains. Reliab Eng Syst Saf 183:261–275CrossRef
9.
Zurück zum Zitat Gao Y, Feng Y, Zhang Z et al (2015) An optimal dynamic interval preventive maintenance scheduling for series systems. Reliab Eng Syst Saf 142:19–30CrossRef Gao Y, Feng Y, Zhang Z et al (2015) An optimal dynamic interval preventive maintenance scheduling for series systems. Reliab Eng Syst Saf 142:19–30CrossRef
10.
Zurück zum Zitat Faddoul R, Raphael W, Chateauneuf A (2018) Maintenance optimization of series systems subject to reliability constraints. Reliab Eng Syst Saf 180:179–188CrossRef Faddoul R, Raphael W, Chateauneuf A (2018) Maintenance optimization of series systems subject to reliability constraints. Reliab Eng Syst Saf 180:179–188CrossRef
11.
Zurück zum Zitat De Paula CP, Visnadi LB, De Castro HF (2019) Multi-objetive optimization in redundant system considering load sharing. Reliab Eng Syst Saf 181:17–27CrossRef De Paula CP, Visnadi LB, De Castro HF (2019) Multi-objetive optimization in redundant system considering load sharing. Reliab Eng Syst Saf 181:17–27CrossRef
12.
Zurück zum Zitat Andrews J D, Moss T R. Reliability and risk assessment 2nd Edition. Professional Engineering Publishing Limited, London and Bury St Edmunds, UK. ISBN 1 86058 290 7 Andrews J D, Moss T R. Reliability and risk assessment 2nd Edition. Professional Engineering Publishing Limited, London and Bury St Edmunds, UK. ISBN 1 86058 290 7
13.
Zurück zum Zitat OREDA participants. OREDA – Offshore reliability data handbook. 5th Edition. Published by: OREDA participants. Prepared by: SINTEF, Distributed by: Det Norske Veritas (DNV). ISBN 978-82-14-04830-8 OREDA participants. OREDA – Offshore reliability data handbook. 5th Edition. Published by: OREDA participants. Prepared by: SINTEF, Distributed by: Det Norske Veritas (DNV). ISBN 978-82-14-04830-8
14.
Zurück zum Zitat Center for Chemical Process Safety. Guidelines for process equipment reliability data with data tables. Center for Chemical Process Safety of the American Institute of Chemical Engineers. New York: ISBN 0-8169-0422-7 Center for Chemical Process Safety. Guidelines for process equipment reliability data with data tables. Center for Chemical Process Safety of the American Institute of Chemical Engineers. New York: ISBN 0-8169-0422-7
15.
Zurück zum Zitat Simon D (2013) Evolutionary optimization algorithms. John Wiley & Sons, Hoboken, New Jersey Simon D (2013) Evolutionary optimization algorithms. John Wiley & Sons, Hoboken, New Jersey
16.
Zurück zum Zitat Coello CA (2015) Multi-objective evolutionary algorithms in real-world applications: some recent results and current challenges. In: Greiner D et al (eds) Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences, Computational Methods in Applied Sciences, vol 36, Springer, pp 3–18 Coello CA (2015) Multi-objective evolutionary algorithms in real-world applications: some recent results and current challenges. In: Greiner D et al (eds) Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences, Computational Methods in Applied Sciences, vol 36, Springer, pp 3–18
17.
Zurück zum Zitat Emmerich M, Deutz A (2018) A tutorial on multiobjective optimization: fundamentals and evolutionary methods. Nat Comput 17(3):585–609MathSciNetCrossRef Emmerich M, Deutz A (2018) A tutorial on multiobjective optimization: fundamentals and evolutionary methods. Nat Comput 17(3):585–609MathSciNetCrossRef
18.
Zurück zum Zitat Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197CrossRef Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197CrossRef
19.
Zurück zum Zitat Tian Y, Cheng R, Zhang X, Jin Y (2017) PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [educational forum]. IEEE Comput Intell Mag 12(4):73–87CrossRef Tian Y, Cheng R, Zhang X, Jin Y (2017) PlatEMO: A MATLAB platform for evolutionary multi-objective optimization [educational forum]. IEEE Comput Intell Mag 12(4):73–87CrossRef
20.
Zurück zum Zitat Zitzler E, Thiele L, Laumanns M, Fonseca CM, Da Fonseca VG (2003) Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans Evol Comput 7(2):117–132CrossRef Zitzler E, Thiele L, Laumanns M, Fonseca CM, Da Fonseca VG (2003) Performance assessment of multiobjective optimizers: an analysis and review. IEEE Trans Evol Comput 7(2):117–132CrossRef
21.
Zurück zum Zitat García S, Herrera F (2008) An extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all pairwise comparisons. J Mac Learn Res 9:2677–2694MATH García S, Herrera F (2008) An extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all pairwise comparisons. J Mac Learn Res 9:2677–2694MATH
22.
Zurück zum Zitat Greiner D, Periaux P, Emperador J, Galván B, Winter G (2017) Game theory based evolutionary algorithms: A review with nash applications in structural engineering optimization problems. Arch Comput Meth Eng 24:703–750MathSciNetCrossRef Greiner D, Periaux P, Emperador J, Galván B, Winter G (2017) Game theory based evolutionary algorithms: A review with nash applications in structural engineering optimization problems. Arch Comput Meth Eng 24:703–750MathSciNetCrossRef
Metadaten
Titel
Solving Multi-objective Optimal Design and Maintenance for Systems Based on Calendar Times Using NSGA-II
verfasst von
Andrés Cacereño
Blas Galván
David Greiner
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-57422-2_16