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A bi-objective model for design and analysis of sustainable intermodal transportation systems: a case study of Turkey

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  • Hamdi Giray Resat
  • Metin Turkay

Abstract

This paper presents a mixed-integer linear optimisation model to analyse the intermodal transportation systems in the Turkish transportation industry. The solution approach includes mathematical modelling, data analysis from real-life cases and solving the resulting mathematical programming problem to minimise total transportation cost and carbon dioxide emissions by using two different exact solution methods in order to find the optimal solutions. The novel approach of this paper generates Pareto solutions quickly and allows the decision makers to identify sustainable solutions by using a newly developed solution methodology for bi-objective mixed-integer linear problems in real-life cases.

Suggested Citation

  • Hamdi Giray Resat & Metin Turkay, 2019. "A bi-objective model for design and analysis of sustainable intermodal transportation systems: a case study of Turkey," International Journal of Production Research, Taylor & Francis Journals, vol. 57(19), pages 6146-6161, October.
  • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:19:p:6146-6161
    DOI: 10.1080/00207543.2019.1587187
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    Cited by:

    1. Aldona Jarašūnienė & Kristina Čižiūnienė, 2021. "Ensuring Sustainable Freight Carriage through Interoperability between Maritime and Rail Transport," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    2. Rizwan Shoukat, 2023. "Multimodal or intermodal: greenhouse gas emissions in less than container load in China–Pakistan trade," Environment Systems and Decisions, Springer, vol. 43(2), pages 265-280, June.
    3. Bing Han & Shanshan Shi & Haotian Gao & Yan Hu, 2022. "A Sustainable Intermodal Location-Routing Optimization Approach: A Case Study of the Bohai Rim Region," Sustainability, MDPI, vol. 14(7), pages 1-27, March.
    4. Yan Sun & Xinya Li, 2019. "Fuzzy Programming Approaches for Modeling a Customer-Centred Freight Routing Problem in the Road-Rail Intermodal Hub-and-Spoke Network with Fuzzy Soft Time Windows and Multiple Sources of Time Uncerta," Mathematics, MDPI, vol. 7(8), pages 1-40, August.

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