On the Application of a Multi-Objective Genetic Algorithm to the LORA-Spares Problem

Cranshaw, D. J.; Pall, Raman; Wesolkowski, S.

doi:10.1007/978-3-319-00795-3_76

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The problem presented with trade-off between spare stock level and spare waiting time. An analysis considering the multi-item, multi-echelon inventory allocation model in view of accessibility of airlines operated in fleet environment proposed by Juan et al, 2014. Cranshaw et al (2014 provided a joint optimization of level of repair and spare level considering the multi-objectives while reducing the life cycle cost.…”

Section: Integrated Optimisation Lor and Spare Partsmentioning

confidence: 99%

Level of Repair Analysis a Tool for Integrated Optimization: A State of Art Review

Rawat¹,

Lad²

2020

OER

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This work provides an overview of level of repair optimizations addressed in the field of system design reliability and maintenance planning for fleet architecture. The review provides the detail in reliability design and various aspects of fleet maintenance planning viz., analysis of repair options, preventive maintenance optimization, and inventory level optimization. The interdependencies among all these decisions are also discussed. The scope of this work is to highlight the inputs from the literature. The gaps identified from the literature are also mentioned. The focused literature related to reliability design, analysis for LOR and multi-indenture inventory parts optimization has been reviewed. Literature related to joint consideration of these planning aspects in fleet system is also discussed. The literature review has helped in identifying recent work in the field of reliability design and fleet maintenance planning.

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Section: Integrated Optimisation Lor and Spare Partsmentioning

confidence: 99%

Level of Repair Analysis a Tool for Integrated Optimization: A State of Art Review

Rawat¹,

Lad²

2020

OER

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“…Significant amount of literature is available that deals with the optimization of LOR decisions considering LCC as performance criteria. In general, focus of these literatures is on the use of more efficient optimization techniques like integer programming (Barros, 1998), mixed integer programming (Brick and Uchoa, 2009), genetic algorithm (Saranga and Kumar, 2006), hybrid genetic algorithm (Bouachera et al (2010), simulation-based approach (Cranshaw et al , 2014; Rawat and Lad, 2015), etc. Literature also considers various system structures in terms of indenture level and echelon level.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Basten et al (2011) and Brick and Uchoa (2009) proposed an integrated approach to optimize LOR and repair facility location. Integration of LOR and spare parts optimization is studied in Basten et al (2012, 2015), Cranshaw et al (2014), and Rawat and Lad (2015). One of the common assumptions made during the LOR analysis in the above literature is the consideration of constant failure rate (CFR) of the parts.…”

Section: Introductionmentioning

confidence: 99%

An integrated strategy for fleet maintenance planning

Rawat

Lad

2017

JQME

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Purpose Conventionally, fleet maintenance decisions are made based on the level of repair (LOR) analysis. A general assumption made during LOR analysis is the consideration of the lifetime distribution with constant failure rate (CFR). However, industries do use preventive maintenance (PM) to extend the life of such components, which in turn may affect the LOR decisions such as repair/move/discard. The CFR assumption does not allow the consideration of effect of PM in LOR analysis. The purpose of this paper is to develop a more practical LOR analysis approach, considering the time-dependent failure rate (TDFR) of components and the effect of PM. Design/methodology/approach In the proposed methodology, first, a detailed life cycle model considering the effect of various parameters related to LOR and PM is developed. A simulation-based genetic algorithm approach is then used to obtain an integrated solution for LOR and PM schedule decisions. The model is also evaluated for the various cases of quality of maintenance measured in terms of degree of restoration. Findings The results, from the illustrative example for a multi-indenture and multi-echelon fleet maintenance network, show that the proposed integrated strategy leads to better LCC performance compare to the conventional approach. Additionally, it is identified that the degree of restoration also affects the PM schedule as well as LOR decisions of the fleet system. Therefore, consideration of TDFR is important to truly optimize the LOR decisions. The proposed approach can be applied to fleet of any equipment. Research limitations/implications The approach is illustrated using a hypothetical example of an industrial system. A more complex system structure in terms of number of machines, types of machines (identical vs non-identical), number of echelons, possible repair actions at various echelons, etc. may be present for a particular industrial case. However, the approach presented is generic and can be extended to any system. Moreover, the aim of the paper is to highlight the importance of the considering PM and quality of maintenance in LOR decision making. Originality/value To the best of the authors’ knowledge, this is the first work which considers the effect of PM and quality of maintenance on LOR analysis. Consideration of TDFR and imperfect maintenance while optimizing LOR decisions is a complex problem. Thus, the work is of high significance from the research point of view. Also, most of the real life fleet systems use PM to extend the life of the equipment. Thus, present paper is a more practical approach for LOR analysis of such systems.

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A Novel Multi-objective Optimization Model for Level of Repair Analysis (LORA) Problem in Performance-Based Logistics (PBL)

Malyemez

Baykoç

2021

Proceedings of the Fifteenth International Conference on Management Science and Engineering Management

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On the Application of a Multi-Objective Genetic Algorithm to the LORA-Spares Problem

Cited by 5 publications

References 6 publications

Level of Repair Analysis a Tool for Integrated Optimization: A State of Art Review

Level of Repair Analysis a Tool for Integrated Optimization: A State of Art Review

An integrated strategy for fleet maintenance planning

A Novel Multi-objective Optimization Model for Level of Repair Analysis (LORA) Problem in Performance-Based Logistics (PBL)

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