IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/209303.html
   My bibliography  Save this book chapter

Lead-time optimization potential of digitization in air cargo

In: Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 23

Author

Listed:
  • Bierwirth, Benjamin
  • Schocke, Kai-Oliver

Abstract

The air cargo supply chain consists of several parties: the forwarders collect air cargo shipments and consolidate these shipments in regional warehouses all over the continent. They decide upon the export airport and bring it there to consolidate all shipments in their air cargo hub - warehouse according to the chosen flight. Using local truckers, the shipments, consolidated by airline, are forwarded to the handling agents to load air cargo containers or to build up air cargo pallets. The containers or pallets are brought to the apron and loaded into the planes. There is not a single chain existing; the parties involved are part of a dynamic n * m * o network which is fixed with every single shipment. The problem addressed in this paper is to document the waiting times at the level of the handling agents. Own, long time research at Frankfurt International Airport shows, that the waiting time for the trucker in front of handling agents warehouses significantly influence the lead-time for shipments. We identify the barriers to a faster adaption of digitization, which is currently around 30% in Frankfurt. Quantifying the impact of waiting times and required warehouse space due to long lead-times allows for a cost estimate.

Suggested Citation

  • Bierwirth, Benjamin & Schocke, Kai-Oliver, 2017. "Lead-time optimization potential of digitization in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 75-98, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  • Handle: RePEc:zbw:hiclch:209303
    DOI: 10.15480/882.1450
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/209303/1/hicl-2017-23-075.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.15480/882.1450?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Feng, Bo & Li, Yanzhi & Shen, Huaxiao, 2015. "Tying mechanism for airlines’ air cargo capacity allocation," European Journal of Operational Research, Elsevier, vol. 244(1), pages 322-330.
    2. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    3. Zhang, Canrong & Xie, Fanrui & Huang, Kun & Wu, Tao & Liang, Zhe, 2017. "MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 158-173.
    4. Chao, Ching-Cheng & Li, Ru-Guo, 2017. "Effects of cargo types and load efficiency on airline cargo revenues," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 26-33.
    5. Rolf Hellermann, 2006. "Capacity Options for Revenue Management," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-34420-9, October.
    6. Yan, Shangyao & Shih, Yu-Lin & Shiao, Fei-Yen, 2008. "Optimal cargo container loading plans under stochastic demands for air express carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(3), pages 555-575, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bierwirth, Benjamin & Schwanecke, Ulrich & Gietzen, Thomas & Lopéz, Daniel Andrés & Brylka, Robert, 2019. "SmartAirCargoTrailer: Autonomous short distance transports in air cargo," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg Int, volume 27, pages 151-185, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shaban, Ibrahim Abdelfadeel & Chan, F.T.S. & Chung, S.H., 2021. "A novel model to manage air cargo disruptions caused by global catastrophes such as Covid-19," Journal of Air Transport Management, Elsevier, vol. 95(C).
    2. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    3. Valeria Costantini & Francesco Crespi & Giovanni Marin & Elena Paglialunga, 2016. "Eco-innovation, sustainable supply chains and environmental performance in European industries," LEM Papers Series 2016/19, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    4. Lee, Alice J. & Ames, Daniel R., 2017. "“I can’t pay more” versus “It’s not worth more”: Divergent effects of constraint and disparagement rationales in negotiations," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 16-28.
    5. Hussain, Hadia & Murtaza, Murtaza & Ajmal, Areeb & Ahmed, Afreen & Khan, Muhammad Ovais Khalid, 2020. "A study on the effects of social media advertisement on consumer’s attitude and customer response," MPRA Paper 104675, University Library of Munich, Germany.
    6. A. G. Fatullayev & Nizami A. Gasilov & Şahin Emrah Amrahov, 2019. "Numerical solution of linear inhomogeneous fuzzy delay differential equations," Fuzzy Optimization and Decision Making, Springer, vol. 18(3), pages 315-326, September.
    7. Cyril Chalendard, 2015. "Use of internal information, external information acquisition and customs underreporting," Working Papers halshs-01179445, HAL.
    8. Arun Advani & William Elming & Jonathan Shaw, 2023. "The Dynamic Effects of Tax Audits," The Review of Economics and Statistics, MIT Press, vol. 105(3), pages 545-561, May.
    9. Moussawi-Haidar, Lama & Nasr, Walid & Jalloul, Maya, 2021. "Standardized cargo network revenue management with dual channels under stochastic and time-dependent demand," European Journal of Operational Research, Elsevier, vol. 295(1), pages 275-291.
    10. Philippe Aghion & Ufuk Akcigit & Matthieu Lequien & Stefanie Stantcheva, 2017. "Tax Simplicity and Heterogeneous Learning," NBER Working Papers 24049, National Bureau of Economic Research, Inc.
    11. Marie Bjørneby & Annette Alstadsæter & Kjetil Telle, 2018. "Collusive tax evasion by employers and employees. Evidence from a randomized fi eld experiment in Norway," Discussion Papers 891, Statistics Norway, Research Department.
    12. Chuangen Gao & Shuyang Gu & Jiguo Yu & Hai Du & Weili Wu, 2022. "Adaptive seeding for profit maximization in social networks," Journal of Global Optimization, Springer, vol. 82(2), pages 413-432, February.
    13. Koessler, Frederic & Laclau, Marie & Renault, Jérôme & Tomala, Tristan, 2022. "Long information design," Theoretical Economics, Econometric Society, vol. 17(2), May.
    14. Jamal El-Den & Pratap Adikhari & Pratap Adikhari, 2017. "Social media in the service of social entrepreneurship: Identifying factors for better services," Journal of Advances in Humanities and Social Sciences, Dr. Yi-Hsing Hsieh, vol. 3(2), pages 105-114.
    15. Annette Alstadsæter & Wojciech Kopczuk & Kjetil Telle, 2019. "Social networks and tax avoidance: evidence from a well-defined Norwegian tax shelter," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(6), pages 1291-1328, December.
    16. Xiongnan Jin & Sejin Chun & Jooik Jung & Kyong-Ho Lee, 0. "A fast and scalable approach for IoT service selection based on a physical service model," Information Systems Frontiers, Springer, vol. 0, pages 1-16.
    17. Jun Hong Park & Sang Ho Kook & Hyeonu Im & Soomin Eum & Chulung Lee, 2018. "Fabless Semiconductor Firms’ Financial Performance Determinant Factors: Product Platform Efficiency and Technological Capability," Sustainability, MDPI, vol. 10(10), pages 1-22, September.
    18. Sebastian Kaumanns, 2019. "“Some fuzzy math”: relational information on debt value adjustments by managers and the financial press," Business Research, Springer;German Academic Association for Business Research, vol. 12(2), pages 755-794, December.
    19. Samuel J Gershman, 2015. "A Unifying Probabilistic View of Associative Learning," PLOS Computational Biology, Public Library of Science, vol. 11(11), pages 1-20, November.
    20. Arun Advani, 2022. "Who does and doesn't pay taxes?," Fiscal Studies, John Wiley & Sons, vol. 43(1), pages 5-22, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hiclch:209303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.