An innovative method to optimize the maintenance policies in an aircraft: General framework and case study

Regattieri, Alberto; Giazzi, A.; Gamberi, Mauro; Gamberini, Rita

doi:10.1016/j.jairtraman.2015.02.001

Cited by 24 publications

(15 citation statements)

References 36 publications

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“…This measurement system is rather ambiguous. In the highly regulated aircraft industry (Regattieri et al, 2015), the measurement of spare part essentiality is clear. Spare part essentiality is measured by the time in which failure has to be corrected, which is similar to Huiskonen's (2001) arguments about the degree of criticality.…”

Section: Rq1: What Are the Criteria And Sub-criteria To Be Consideredmentioning

confidence: 99%

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Testing an AHP model for aircraft spare parts

Nariswari¹,

Bamford

Dehe

2019

Production Planning & Control

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This research aims to develop and test a practical and precise multi-criteria classification of aircraft spare part inventory management, using the Analytical Hierarchy Process (AHP), in order to maintain aircraft operational availability and to reduce unnecessary downtime. In this study, a multi-criteria model is developed within a large-scale aircraft maintenance and repair firm, in Indonesia. Spare parts data was extracted from the inventory system and analysed to triangulate the model outcome, demonstrate its validity and compare the results against the mathematical results generated by the system's algorithm. The findings suggest that AHP can lead to a transparent, rapid and systematic classification model, this is highly accurate and precise with an outcome comparable to traditional methods. The conclusion proposes that the AHP classification model is more effective and transparent than the currently available mathematical methods. This research contributes to the development of the multi-criteria inventory classification literature in the context of the aviation industry.

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Section: Rq1: What Are the Criteria And Sub-criteria To Be Consideredmentioning

confidence: 99%

“…To maintain the operation of aircraft, airlines need to ensure aircraft availability by reducing unnecessary downtime, for example delays and cancellations (Regattieri et al, 2015). A study from Knotts (1999) reveals that 20% of unnecessary downtime occurs because of technical reasons.…”

Section: Introductionmentioning

confidence: 99%

Testing an AHP model for aircraft spare parts

Nariswari¹,

Bamford

Dehe

2019

Production Planning & Control

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“…In the civil aircraft domain, the simulation method for aircraft maintenance tends to be prevailing. Most of the works [12][13][14] attempt to combine simulation methods with optimization objectives. Simulation methods are principally used for estimating the performance of optimal model.…”

Section: Aircraft Maintenance Simulationmentioning

confidence: 99%

Information Systems Simulation for Performance Evaluation - Application in Aircraft Maintenance

Liu¹,

Wang²,

Zhang³

et al. 2018

Product Lifecycle Management to Support Industry 4.0

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In the design phase, an effective performance evaluation on the information system model for aircraft maintenance helps better iteratively refine the system design. Although many works have emerged to achieve this aim, complex systems are hard to be completely described and the consideration of real-world processes is missing. Thus, how to investigate the system performance with consideration of the real-world aircraft maintenance is our focus. From our point of view, an agent-based simulation modeling is a promising approach to overcome such problem. In this paper, we develop an agent-based simulation model for the whole maintenance process, focusing on cooperation among sub business processes. This model describes the flight process, cooperation between stakeholders and failure repairs, where scheduled/unscheduled maintenance and with/without uncertain event scenarios have been addressed. The performance evaluation of this model is based on the analysis of impacts of key factors on the airline's service level and maintenance cost.

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“…Downtime in any network, manufacturing or computer system results not only in high repair costs, but in customer dissatisfaction and lower potential sales [1]. Furthermore, harsher industrial competitiveness in innovation, shorter time of products development and higher machines reliability, implies that strategies for products maturation must be always increasingly efficient [2] [3]. To tackle overall efficiency problem, within manufacturing companies, researchers, engineers and manufacturing are always looking for new and innovative methods to evaluate components and systems reliability [4] [5].…”

Section: Introductionmentioning

confidence: 99%

Reliability Prediction of a Mechanical Component Through Accelerated Life Testing

Regattieri¹,

Casto²,

Piana³

et al. 2018

dtetr

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The reliability prediction (i.e. life prediction) of components and subsystems is a crucial issue for the efficiency of production systems. This paper presents a reliability assessment method, applied to a mechanical component (i.e. gear unit) of an automated manufacturing system. Study is based on accelerated life test approach (ALT). In the study authors used General log-linear model (GLL) combined with a Weibull distribution for time to failures. Researchers did different experimental tests in the laboratory of the Department of Industrial Engineer -University of Bologna, to estimate model parameters. Expected life of component was then evaluated using the proposed ALT model. Finally, results are compared with actual time-to-failure data coming from field. Time-to-failure was collected during about 10 years, on about 20 production lines using the same gear unit. The accordance between real data and life prediction is satisfying. Results confirm Accelerated Life Testing (ALT) is an efficient and effective assessment method for lifetime prediction based on short time tests.

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An innovative method to optimize the maintenance policies in an aircraft: General framework and case study

Cited by 24 publications

References 36 publications

Testing an AHP model for aircraft spare parts

Testing an AHP model for aircraft spare parts

Information Systems Simulation for Performance Evaluation - Application in Aircraft Maintenance

Reliability Prediction of a Mechanical Component Through Accelerated Life Testing

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