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Dynamic barge planning with stochastic container arrivals

Author

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  • Gumuskaya, Volkan
  • van Jaarsveld, Willem
  • Dijkman, Remco
  • Grefen, Paul
  • Veenstra, Albert

Abstract

Barge transport suffers from a high degree of uncertainty resulting from unreliable container arrivals (e.g. due to deep sea vessel delays), and dynamism that leads to limited information availability during planning. This paper studies the impact of uncertainty and dynamism using real data of an inland terminal. Our method consists of iterating weekly operations for one year to evaluate the long term performance. Each iteration involves solving a stochastic program for planning barge calls, and then simulating actual events. We show that uncertainty has an impact of up to 53% and dynamism up to 20% on total costs.

Suggested Citation

  • Gumuskaya, Volkan & van Jaarsveld, Willem & Dijkman, Remco & Grefen, Paul & Veenstra, Albert, 2020. "Dynamic barge planning with stochastic container arrivals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:transe:v:144:y:2020:i:c:s136655452030805x
    DOI: 10.1016/j.tre.2020.102161
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    2. Qiu, Xuan & Xu, Su Xiu & Xu, Gangyan, 2021. "Pricing and scheduling of barge hinterland transportation service for inbound containers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    3. Mehdi Mazloumi & Edwin van Hassel, 2021. "Improvement of Container Terminal Productivity with Knowledge about Future Transport Modes: A Theoretical Agent-Based Modelling Approach," Sustainability, MDPI, vol. 13(17), pages 1-17, August.

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