Integrated modelling and algorithm of material delivery and line-side storage for aircraft moving assembly lines

Liu, Zhiqiang; Zhu, Huixin; Han, Xiaohui; Hu, Xinming

doi:10.1080/00207543.2018.1554917

Cited by 14 publications

(3 citation statements)

References 33 publications

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“…As a result, most international airports have experienced heavy air traffic delays in the past two decades. An increase in expenses for crews, fuel, maintenance and gross profit may be the consequences of flight delays (M. Ball et al, 2010;Lu, Zhu, Han, & Hu, 2019;Qin, Wang, Chan, Chung, & Qu, 2018. Hence, airport capacity management is of utmost importance to deal with issues in terms of ATC resource allocation (M. O.…”

Section: Problem Descriptionmentioning

confidence: 99%

The impacts of longitudinal separation, efficiency loss, and cruise speed adjustment in robust terminal traffic flow problem under uncertainty

Chan

Qin

et al. 2022

Transportation Letters

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Minimisation of approaching time and maximisation of the utilisation of air route and airport resources are the two ultimate goals of air traffic control. This research considers the problem of decision-making in the terminal manoeuvring area during the uncertain arrival times at entry waypoints of flights and investigates the air traffic controller specific parameters in the model. The two-stage optimisation framework will first determine a deterministic schedule and optimise the approaching time and arrival time on runways while considering additional longitudinal separation, efficiency loss from deterministic schedule and cruise speed adjustment in the second-stage optimisation model via sample average approximation (SAA).The numerical experiments were performed with the support of real-world data, and the results suggested an efficiency loss of 20%, which can absorb the empirical probabilistic lateness at entry waypoints. The proposed method could determine the estimated average delay time at runways with different settings of additional buffer for longitudinal separation requirement and trade-off parameters between the estimated average delay time at runways and estimated penalty cost of cruise speed adjustment.

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Section: Problem Descriptionmentioning

confidence: 99%

The impacts of longitudinal separation, efficiency loss, and cruise speed adjustment in robust terminal traffic flow problem under uncertainty

Chan

Qin

et al. 2022

Transportation Letters

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“…Though many studies have developed effective approaches for RCMPSP and approach for other problems can be referenced (Bes ikci et al, 2015;Ren and Lu, 2019;Zhang and Xu, 2020;Lu et al, 2019;Zhu et al, 2020;Zhou and Zhu, 2020;He et al, 2020), they are mainly suitable for a deterministic environment and stay short of copying with the real assembly environment where uncertainties such as faults and failures may occur (Wu et al, 2019;Wu et al, 2020). Given the complexity of large-scale equipment and the requirement of overall reliability, the detection of overall assembly performance is indispensable (Zhu et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Modeling and algorithm for resource-constrained multi-project scheduling problem based on detection and rework

Zhu

Liu

et al. 2021

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Purpose To meet the requirement of establishing an effective schedule for the assembly process with overall detection and rework, this paper aims to address a new problem named resource-constrained multi-project scheduling problem based on detection and rework (RCMPSP-DR). Design/methodology/approach First, to satisfy both online and offline scheduling, a mixed integer programming model is established with a weighted bi-objective minimizing the expected makespan and the solution robustness. Second, an algorithm that combines a tabu search framework with a critical chain-based baseline generation scheme is designed. The tabu search framework focuses on searching for a reasonable resource flow representing the execution sequence of activities, while the critical chain-based baseline generation scheme establishes a buffered baseline schedule by estimating the tradeoff between two aspects of bi-objective. Findings The proposed algorithm can get solutions with gaps from −4.45% to 2.33% when compared with those obtained by the commercial MIP solver CPLEX. Moreover, the algorithm outperforms four other algorithms in terms of both objective performance and stability over instances with different weighting parameters, which reveals its effectiveness. Originality/value The represented RCMPSP-DR considering the overall detection and rework is an extension of the scheduling problem for large-scale equipment. An effective algorithm is proposed to establish the baseline schedule and determine the execution sequence of activities for the assembly process, which is significant for practical engineering applications.

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“…The second way adopts the rail and positioners. The aircraft is supported by the positioners and can move together along the rail [6,7]. However, it needs to build the rail and it is difficult to change routes once the rail is built.…”

Section: Introductionmentioning

confidence: 99%

A Computer Vision-Based Navigation and Localization Method for Station-Moving Aircraft Transport Platform with Dual Cameras

Tang

Zhu

2020

Sensors

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In order to develop equipment adapted to the aircraft pulse final assembly line, a vision-based aircraft transport platform system is developed. This article explores a guiding method between assembly stations which is low-cost and easy to change routes by using two-dimensional code and two complementary metal oxide semiconductor (CMOS) cameras. The two cameras installed on the front and back of the platform read the two-dimensional code containing station information to guide the platform. In the process of guiding, the theoretical position and posture of the platform at each assembly station are known, but there is a difference between the actual and theoretical values due to motion errors. To reduce the influence of the deviation on the navigation route, a localization method is proposed based on the two-dimensional images captured by the cameras. Canny edge detection is applied to the processed image to obtain the position of the two-dimensional code in the image, which can measure the angle/distance deviation of the platform. Then, the computer can locate the platform precisely by the information in the two-dimensional code and the deviation measured by the image. To verify the feasibility of the proposed method, experiments have been performed on the developed platform system. The results show that the distance and angle errors of the platform are within ±10 mm and ±0.15 • respectively.

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Integrated modelling and algorithm of material delivery and line-side storage for aircraft moving assembly lines

Cited by 14 publications

References 33 publications

The impacts of longitudinal separation, efficiency loss, and cruise speed adjustment in robust terminal traffic flow problem under uncertainty

The impacts of longitudinal separation, efficiency loss, and cruise speed adjustment in robust terminal traffic flow problem under uncertainty

Modeling and algorithm for resource-constrained multi-project scheduling problem based on detection and rework

A Computer Vision-Based Navigation and Localization Method for Station-Moving Aircraft Transport Platform with Dual Cameras

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