Automation, Control and Intelligent Systems

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Workflow Management in Intelligent ERP at Aseman Airlines Company

Received: 14 February 2015    Accepted: 28 April 2015    Published: 08 May 2015
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Abstract

The real goal of this paper is to study a framework for intelligent ERP in repair & maintenance at Aseman Airlines Company based upon workflow management. For this purpose, a workflow management system was designed at Aseman Airlines Company by presenting an intelligent model and applying different concepts like genetic algorithm, repair & maintenance at depot level, social capital and long-life management system. All managerial & technological aspects were considered in the design of this system in order for upgrading- efficiency and quality of aviation industry services through applying intelligent systems.

DOI 10.11648/j.acis.20150303.11
Published in Automation, Control and Intelligent Systems (Volume 3, Issue 3, June 2015)
Page(s) 31-35
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Workflow Management, Intelligent ERP, Aviation Industry

References
[1] R.H. Sprague, Jr., “A Framework for the Development of Decision Support Systems,” MIS Quarterly, 4, no. 4 (December 1980), pp. 1-26.
[2] P. Gray and H.J. Watson, Decision Support in the Data Warehouse, Upper Saddle River, NJ, Prentice-Hall, 1998.
[3] C. White, "Now is the Time for Real-Time BI," DM Review, (September 2004), pp. 47-54.
[4] Richard Hackathorn, “The BI Watch: Real-Time to Real Value,” DM Review, 14, no. 1 (January 2004).
[5] Additional information about the real-time BI best practices at Continental is described in R. Anderson-Lehman, H.J. Watson, B.H. Wixom, and J.A. Hoffer, “Continental Airlines Flies High with Real-Time Business Intelligence,” MIS Quarterly Executive, 3, no. 4 (December 2004), pp. 163-176.
[6] The story of Continental’s turnaround can be found in G. Brenneman, “Right Away and All at Once: How We Saved Continental,” Harvard Business Review, 76, no. 5 (September/October 1998), pp. 162-74.
[7] Syswerda, G. (1989): “Uniform Crossover in Genetic Algorithms, In: Proceedings of the Third International Conference on Genetic Algorithms”, Schaffer, J. (Ed), Morgan Kauman Publishers, Los Altos, CA, PP. 2–9.
[8] Mitchell, M. (1995): “Genetic Algorithms: An Overview”, Cambridge, Mass Complexity, 1(1), PP. 31-39.
[9] Oliveira, R., and Loucks, D. P. (1997). ‘‘Operating rules for multireservoir systems.’’ Water Resour. Res., 33(4), PP. 839–852.
[10] ZHANG. J, Chung. H and Lo. W. L, “Clustering-Based Adaptive Crossover and Mutation Probabilities for Genetic Algorithms”, IEEE Transactions on Evolutionary Computation vol.11, no.3, pp. 326–335, 2007.
[11] J. D. Schaffer, “A study of control parameters affecting on-line performance of genetic algorithms for function optimization,” in Proceedings of the 3rd International Conference on Genetic Algorithms, pp.675–682, 1989.
Author Information
  • Cybernetics Department of the MATI University – Russian State Technological University named after K. E. Tsiolkovsky and member of research group of the Islamic Azad University, Qaemshahr, Mazandaran, Islamic Republic of Iran (Department of management)

  • Cybernetics Department of the MATI University– Russian State Technological University named after K. E. Tsiolkovsky

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  • APA Style

    Hojatollah Rashidi Alashty, Filimonov Aleksandr Borisovich. (2015). Workflow Management in Intelligent ERP at Aseman Airlines Company. Automation, Control and Intelligent Systems, 3(3), 31-35. https://doi.org/10.11648/j.acis.20150303.11

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    ACS Style

    Hojatollah Rashidi Alashty; Filimonov Aleksandr Borisovich. Workflow Management in Intelligent ERP at Aseman Airlines Company. Autom. Control Intell. Syst. 2015, 3(3), 31-35. doi: 10.11648/j.acis.20150303.11

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    AMA Style

    Hojatollah Rashidi Alashty, Filimonov Aleksandr Borisovich. Workflow Management in Intelligent ERP at Aseman Airlines Company. Autom Control Intell Syst. 2015;3(3):31-35. doi: 10.11648/j.acis.20150303.11

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  • @article{10.11648/j.acis.20150303.11,
      author = {Hojatollah Rashidi Alashty and Filimonov Aleksandr Borisovich},
      title = {Workflow Management in Intelligent ERP at Aseman Airlines Company},
      journal = {Automation, Control and Intelligent Systems},
      volume = {3},
      number = {3},
      pages = {31-35},
      doi = {10.11648/j.acis.20150303.11},
      url = {https://doi.org/10.11648/j.acis.20150303.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.acis.20150303.11},
      abstract = {The real goal of this paper is to study a framework for intelligent ERP in repair & maintenance at Aseman Airlines Company based upon workflow management. For this purpose, a workflow management system was designed at Aseman Airlines Company by presenting an intelligent model and applying different concepts like genetic algorithm, repair & maintenance at depot level, social capital and long-life management system. All managerial & technological aspects were considered in the design of this system in order for upgrading- efficiency and quality of aviation industry services through applying intelligent systems.},
     year = {2015}
    }
    

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    AU  - Hojatollah Rashidi Alashty
    AU  - Filimonov Aleksandr Borisovich
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    AB  - The real goal of this paper is to study a framework for intelligent ERP in repair & maintenance at Aseman Airlines Company based upon workflow management. For this purpose, a workflow management system was designed at Aseman Airlines Company by presenting an intelligent model and applying different concepts like genetic algorithm, repair & maintenance at depot level, social capital and long-life management system. All managerial & technological aspects were considered in the design of this system in order for upgrading- efficiency and quality of aviation industry services through applying intelligent systems.
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