Username   Password       Forgot your password?  Forgot your username? 

 

Emergency Strategy Generation Method of Aircraft Disturbance based on Allen Relationship

Volume 14, Number 12, December 2018, pp. 3025-3032
DOI: 10.23940/ijpe.18.12.p12.30253032

Zheng Zuo, Qiang Feng, Yi Ren, Bo Sun, and Dezhen Yang

School of Reliability and Systems Engineering, Beihang University, Beijing, 100191, China

(Submitted on September 8, 2018; Revised on October 17, 2018; Accepted on November 16, 2018)

Abstract:

The availability of support stations directly affects the departure ability of the fleet. New faulty aircraft will perturb the existing security plan of support stations, so a new security plan needs to be developed to ensure that the effect of disturbance is minimal. The traditional first-come-first-serve (FCFS) algorithm and the priority-weighted scheduling algorithm focus on local adjustments or do not take into full account the global coverage time. Some other optimization algorithms and models, such as heuristic algorithms and mesh flow models, have the disadvantages of high computational costs, over complexity, or low availability. In view of the above problems, this paper proposes to deal with the time relationship of fault aircrafts with the Allen relationship, obtain a set of dominant maintenance programs, and then achieve the best maintenance support program as well as the minimization of the disturbance influence.

 

References: 21

                    1. D. Anghinolfi, A. Capogrosso, and M. Paolucci, “A System Supporting the Evaluation of the Operational Effectiveness of Naval Tasks based on Agent Simulation,” Scalable Computing: Practice and Experience, Vol. 15, No. 3, pp. 201-216, October 2014
                    2. A. B. Pritsker, L. J. Waiters, and P. M. Wolfe, “Multi Project Scheduling with Limited Resources: A Zero-One Programming Approach,” Management Science, Vol. 16, No. 1, pp. 93-108, September 1969
                    3. K. Qi, Q. Feng, and K. Zhao, “A Disruption Model based Emergent Reconfiguration Method for Aircraft Fleet Support Station Failure,” in Proceedings of 2015 First International Conference on Reliability Systems Engineering (ICRSE), pp. 1-6, Beijing, China, 2015
                    4. Q. Feng, W. Bi, and Y. Chen, “Cooperative Game Approach based on Agent Learning for Fleet Maintenance Oriented to Mission Reliability,” Computers & Industrial Engineering, Vol. 112, pp. 221-230, August 2017
                    5. M. Suresh, P. Dutta, and K. Jain, “Resource Constrained Multi-Project Scheduling Problem with Resource Transfer Times,” Asia-Pacific Journal of Operational Research, Vol. 32, No. 6, pp. 1550048, December 2015
                    6. J. Keller, C. Markmann, and A. Heiko, “Foresight Support Systems to Facilitate Regional Innovations: A Conceptualization Case for a German Logistics Cluster,” Technological Forecasting and Social Change, Vol. 97, pp. 5-28, July 2015
                    7. M. E. Nenni, “A Cost Model for Integrated Logistic Support Activities,” Advances in Operations Research, Vol. 2012, December 2012
                    8. W. Li and H. Shi, “Dynamic Load Balancing Algorithm based on FCFS,” in Proceedings of International Conferences on Innovative Computing, Information and Control (ICICIC), pp. 1528-1531, December 2009
                    9. D. M. Nicol, “Parallel Discrete-Event Simulation of FCFS Stochastic Queueing Networks,” United States: NASA, 1988
                    10. A. N. Haq and G. Kannan, “Fuzzy Analytical Hierarchy Process for Evaluating and Selecting a Vendor in a Supply Chain Model,” The International Journal of Advanced Manufacturing Technology, Vol. 29, No. 7-8, pp. 826-835, November 2006
                    11. Z. Wang, X. Yan, and Y. Zhu, “An Optimal Method on Dynamic Maintenance Task Scheduling with Subject Taken into Account,” Acta Armamentarii, Vol. 2, pp. 252-256, March 2009
                    12. A. I. Z. Jarrah, G. Yu, and N. Krishnamurthy, “A Decision Support Framework for Airline Flight Cancellations and Delays,” Transportation Science, Vol. 27, No. 3, pp. 266-280, August 1993
                    13. D. Teodorović and G. Stojković, “Model for Operational Daily Airline Scheduling,” Transportation Planning and Technology, Vol. 14, No. 4, pp. 273-285, June 1990
                    14. G. Stojković, F. Soumis, and J. Desrosiers, “An Optimization Model for a Real-Time Flight Scheduling Problem,” Transportation Research Part A: Policy and Practice, Vol. 36, No. 9, pp. 779-788, November 2002
                    15. J. F. Allen, “An Interval-based Representation of Temporal Knowledge,” in Proceedings of the 7th International Joint Conference on Artificial Intelligence, pp. 221-226, June 1981
                    16. J. F. Allen, “Maintaining Knowledge about Temporal Intervals,” Readings in qualitative reasoning about physical systems, pp. 361-372, November 1990
                    17. N. Gauthaman, B. JesvinVeancy, and P. Yogesh, “Interference Management Techniques for Heterogeneous Networks,” Advances in Natural and Applied Sciences, Vol. 10, No. 3, pp. 70-76, July 2016
                    18. C. Liu, M. Li, and S. V. Hanly, “Joint Downlink User Association and Interference Management in Two-tier HetNets with Dynamic Resource Partitioning,” IEEE Transactions on Vehicular Technology, Vol. 66, No. 2, pp. 1365-1378, May 2016
                    19. C. Briand, H. T. La, and J. Erschler, “A Robust Approach for the Single Machine Scheduling Problem,” Journal of Scheduling, Vol. 10, No. 3, pp. 209-221, May 2007
                    20. G. Menon, M. Nabil, and S. Narasimhan, “Branch and Bound Algorithm for Optimal Sensor Network Design,” IFAC Proceedings Volumes, Vol. 46, No. 32, pp. 690-695, December 2013
                    21. Y. Seo, Y. J. Choi, and S. W. Lee, “A Branch-and-Bound Algorithm for Globally Optimal Calibration of a Camera-and-Rotation-Sensor System,” in Proceedings of 2009 IEEE 12th International Conference on Computer Vision, pp. 1173-1178, Kyoto, Japan, September 2009

                                       

                                      Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                                      Attachments:
                                      Download this file (IJPE-2018-12-12.pdf)IJPE-2018-12-12.pdf[Emergency Strategy Generation Method of Aircraft Disturbance based on Allen Relationship]864 Kb
                                       
                                      This site uses encryption for transmitting your passwords. ratmilwebsolutions.com