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Air Cargo Facility Layout Planning and Meta-Heuristic Solution Approach

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Industrial Engineering in the Big Data Era

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

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Abstract

In recent years, with the increase of world trade size, the importance of the Air Cargo operations has increased even more. The rapid progression of air cargo transportation has caused development of intralogistics systems, the establishment of new facilities, the installation of new material handling equipment and facilities layout design issues. Although it is possible to reduce the system costs and increase the total cargo handling capacity with the facility layout planning (FLP) algorithms; it has been observed that the FLP algorithms have not been used in the airway cargo facilities designs. In this study, the air cargo facility design issue has been tackled as layout problem. Firstly, the existing layout algorithms in the literature have been addressed and then, FLPs have been taken into the consideration with the BlocPlan layout construction that is integrated with the Ant Colony Optimization (ACO) algorithm. In the application part of the study, the data of a major air cargo operator in Istanbul Airport data have been used and the transportation costs have been decreased with the proposed integrated FLP algorithm.

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References

  • Ahmadi, A., & Jokar, M. R. A. (2016). An efficient multiple-stage mathematical programming method for advanced single and multi-floor facility layout problems. Applied Mathematical Modelling, 40(9–10), 5605–5620.

    Article  MathSciNet  Google Scholar 

  • Armour, G. C., & Elwood, S. B. (1962). A heuristic algorithm and simulation approach to relative location of facilities.

    Google Scholar 

  • Boeing Company. (2014). World air cargo forecast 2014–2015. http://www.boeing.com/assets/pdf/commercial/cargo/wacf.pdf.

  • Bozer, A. Y., Meller, R. D., & Erlebacher, Steven J. (1994). An improvement-type layout algorithm for single and multiple-floor facilities. Management Science, 40(7), 918–932.

    Article  Google Scholar 

  • Chang, Y. H., Yeh, C. H., & Wang, S. Y. (2007). A survey and optimization-based evaluation of development strategies for the air cargo industry. International Journal of Production Economics, 106(2), 550–562.

    Article  Google Scholar 

  • Diaz, A. G., & Smith, J. (2007). Facilities planning and design. Canada: Prentice Hill.

    Google Scholar 

  • Donaghey, C. E., Pire, V. F. (1991). BLOCPLAN-90, user’s manuel. Industrial Engineering Department, University of Houston.

    Google Scholar 

  • Dorigo, M. (1992). Optimization, learning and natural algorithms. Ph.D. thesis, Politecnico di Milano, Italy.

    Google Scholar 

  • Eldemir, F., Graves, R. J., & Malmborg, C. J. (2004). New cycle time and space estimation models for automated storage and retrieval system conceptualization. International Journal of Production Research, 42(22), 4767–4783.

    Article  Google Scholar 

  • Eldemir, F., Graves, R. J., & Malmborg, C. J. (2003). A comparison of alternative conceptualizing tools for automated storage and retrieval systems. International Journal of Production Research, 41(18), 4517–4539.

    Article  Google Scholar 

  • Gambardella, L. M., Taillard, E. D., & Agazzi. G. (1999). A multiple ant colony system for vehicle routing problems with time windows. In New ideas in optimization. McGraw-Hill.

    Google Scholar 

  • Gogna, G., & Tayal, A. (2013). Metaheuristics: Review and application. Journal of Experimental & Theoretical Artificial Intelligence, 25(4), 503–526.

    Article  Google Scholar 

  • Gonçalves, J. F., & Resende, M. G. (2015). A biased random-key genetic algorithm for the unequal area facility layout problem. European Journal of Operational Research, 246(1), 86–107.

    Article  MathSciNet  Google Scholar 

  • Goss, S., Aron, S., Deneubourg, J. L., & Pasteels, J. M. (1989). Self-organized shortcuts in the Argentine ant. Naturwissenschaften, 76(12), 579–581.

    Article  Google Scholar 

  • Han, D. L., Tang, L. C., & Huang, H. C. (2010). A Markov model for single-leg air cargo revenue management under a bid-price policy. European Journal of Operational Research, 200(3), 800–811.

    Article  Google Scholar 

  • IATA. (2006, February). IATA economics briefing, air freight. “Brighter skies ahead”. The International Air Transport Association, Montreal.

    Google Scholar 

  • Konak, A., Kulturel-Konak, S., Norman, B. A., & Smith, A. E. (2006). A new mixed integer programming formulation for facility layout design using flexible bays. Operations Research Letters, 34(6), 660–672.

    Article  MathSciNet  Google Scholar 

  • Koopmans, T., & Bekman, M. J. (1957). Assignment problem and the location of economics activities. Econometrica, 25, 53–76.

    Article  MathSciNet  Google Scholar 

  • Kulturel-Konak, S. (2012). A linear programming embedded probabilistic tabu search for the unequal-area facility layout problem with flexible bays. European Journal of Operational Research, 223(3), 614–625.

    Article  MathSciNet  Google Scholar 

  • Kulturel-Konak, S., & Konak, A. (2011). Unequal area flexible bay facility layout using ant colony optimization. International Journal of Production Research, 49(7), 1877–1902.

    Article  Google Scholar 

  • Laporte, G., & Osman, I., (1996). Metaheuristics: A bibliography. Annals of Operations Research, 63, 513–562.

    Google Scholar 

  • Mazinani, M., Abedzadeh, M., & Mohebali, N. (2013). Dynamic facility layout problem based on flexible bay structure and solving by genetic algorithm. The International Journal of Advanced Manufacturing Technology, 65(5–8), 929–943.

    Article  Google Scholar 

  • Meller, R., & Gau, K. (2007). Facility layout objective functions and robust layout. International Journal of Production Research, No. 10, 2727–2742.

    Article  Google Scholar 

  • Merz P., & Freisleben B. (1997). A genetic local search approach to the quadratic assignment problem. In Proceedings of the 7th International Conference on Genetic Algorithms, Morgan Kaufmann, pp. 465–472.

    Google Scholar 

  • Nobert, Y., & Roy, J. (1998). Freight handling personnel scheduling at air cargo terminals. Transportation Science, 32(3), 295–301.

    Article  Google Scholar 

  • Osman, I. (2001). Metaheuristics: A general framework. Lebanon, Beirut.

    Google Scholar 

  • Ou, J., Hsu, V. N., & Li, C. L. (2010). Scheduling truck arrivals at an air cargo terminal. Production and Operations Management, 19(1), 83–97.

    Article  Google Scholar 

  • Petersen, J. (2007). “Air freight industry”—white paper. Research Report, Georgia Institute of Technology.

    Google Scholar 

  • Ripon, K. S. N., Glette, K., Khan, K. N., Hovin, M., & Torresen, J. (2013). Adaptive variable neighborhood search for solving multi-objective facility layout problems with unequal area facilities. Swarm and Evolutionary Computation, 8, 1–12.

    Article  Google Scholar 

  • Singh, S. P., & Sharma, R. R. (2006). A review of different approaches to the facility layout problems. The International Journal of Advanced Manufacturing Technology, 30(5–6), 425–433.

    Article  Google Scholar 

  • Talbi, E. G. (2009). Wiley Series on Parallel and Distributed Computing: Vol 74. Metaheuristics: from design to implementation. New York: Wiley.

    Google Scholar 

  • Tompkins, J. A., White, J. A., Bozer, Y. A., & Tanchoco, J. M. A. (2010). Facility planning. New York: Wiley.

    Google Scholar 

  • Van Oudheusden, D. L., & Boey, P. (1994). Design of an automated warehouse for air cargo: The case of. Journal of Business Logistics, 15(1), 261.

    Google Scholar 

  • Wong, W. H., Zhang, A. M., van Hui, Y., & Leung, L. C. (2009). Optimal baggage-limit policy: Airline passenger and cargo allocation. Transportation Science, 43(3), 355–369.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Faculty of Engineering and Natural Science, Istanbul Medeniyet University, Istanbul, Turkey

    Elif Karakaya

  2. Industrial Engineering Department, School of Engineering, University of Jeddah, Jeddah, Saudi Arabia

    Fahrettin Eldemir

Authors
  1. Elif Karakaya
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  2. Fahrettin Eldemir
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Corresponding author

Correspondence to Elif Karakaya .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Fethi Calisir

  2. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Emre Cevikcan

  3. Department of Management Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Hatice Camgoz Akdag

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Karakaya, E., Eldemir, F. (2019). Air Cargo Facility Layout Planning and Meta-Heuristic Solution Approach. In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-03317-0_13

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  • DOI: https://doi.org/10.1007/978-3-030-03317-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03316-3

  • Online ISBN: 978-3-030-03317-0

  • eBook Packages: EngineeringEngineering (R0)

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