IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v298y2024ics0360544224010466.html
   My bibliography  Save this article

Optimizing sustainable multimodal distribution networks in the context of carbon pricing, with a case study in the Thai sugar industry

Author

Listed:
  • Somsai, Thanatporn
  • Pongcharoen, Pupong
  • Hicks, Christian

Abstract

Transportation is a major cause of energy consumption and emissions which can be reduced by optimizing routings and using alternative modes of transport. This paper relates to the strategic design of multimodal transportation networks. It presents a general model of green vehicle routing problems that supports strategic decision-making by identifying optimal solutions and provides data on costs and emissions. Three general linear programming models were developed that optimize multimodal distribution networks that could be applied in many industries. Model I evaluates carbon emissions; model II assesses carbon emissions and capacity constraints; and model III establishes total costs including transportation, handling, storage, fuel and carbon costs.

Suggested Citation

  • Somsai, Thanatporn & Pongcharoen, Pupong & Hicks, Christian, 2024. "Optimizing sustainable multimodal distribution networks in the context of carbon pricing, with a case study in the Thai sugar industry," Energy, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:energy:v:298:y:2024:i:c:s0360544224010466
    DOI: 10.1016/j.energy.2024.131273
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224010466
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131273?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    2. Livison Mashoko & Charles Mbohwa & Valerie Thomas, 2010. "LCA of the South African sugar industry," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 53(6), pages 793-807.
    3. Alves, Moises & Ponce, Gustavo H.S.F. & Silva, Maria Aparecida & Ensinas, Adriano V., 2015. "Surplus electricity production in sugarcane mills using residual bagasse and straw as fuel," Energy, Elsevier, vol. 91(C), pages 751-757.
    4. Johan Woxenius, 2007. "Generic Framework for Transport Network Designs: Applications and Treatment in Intermodal Freight Transport Literature," Transport Reviews, Taylor & Francis Journals, vol. 27(6), pages 733-749, January.
    5. Javier Arturo Orjuela-Castro & Juan Pablo Orejuela-Cabrera & Wilson Adarme-Jaimes, 2022. "Multi-objective model for perishable food logistics networks design considering availability and access," OPSEARCH, Springer;Operational Research Society of India, vol. 59(4), pages 1244-1270, December.
    6. Leggieri, Valeria & Haouari, Mohamed, 2017. "A practical solution approach for the green vehicle routing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 104(C), pages 97-112.
    7. J Bauer & T Bektaş & T G Crainic, 2010. "Minimizing greenhouse gas emissions in intermodal freight transport: an application to rail service design," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 530-542, March.
    8. Bichou, K. & Gray, R., 2005. "A critical review of conventional terminology for classifying seaports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 75-92, January.
    9. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.
    10. Wesseh, Presley K. & Lin, Boqiang & Atsagli, Philip, 2017. "Carbon taxes, industrial production, welfare and the environment," Energy, Elsevier, vol. 123(C), pages 305-313.
    11. Stich, J. & Ramachandran, S. & Hamacher, T. & Stimming, U., 2017. "Techno-economic estimation of the power generation potential from biomass residues in Southeast Asia," Energy, Elsevier, vol. 135(C), pages 930-942.
    12. Carlos A. Moreno-Camacho & Jairo R. Montoya-Torres & Anicia Jaegler, 2023. "Sustainable supply chain network design: a study of the Colombian dairy sector," Annals of Operations Research, Springer, vol. 324(1), pages 573-599, May.
    13. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    14. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    Full references (including those not matched with items on IDEAS)

    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. Zhang, M. & Pel, A.J., 2016. "Synchromodal hinterland freight transport: Model study for the port of Rotterdam," Journal of Transport Geography, Elsevier, vol. 52(C), pages 1-10.
    2. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    3. Arturo E. Pérez Rivera & Martijn R. K. Mes, 2019. "Integrated scheduling of drayage and long-haul operations in synchromodal transport," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 763-806, September.
    4. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    5. Ghane-Ezabadi, Mohammad & Vergara, Hector A., 2016. "Decomposition approach for integrated intermodal logistics network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 53-69.
    6. Zhang, M. & Janic, M. & Tavasszy, L.A., 2015. "A freight transport optimization model for integrated network, service, and policy design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 61-76.
    7. Rothenbächer, Ann-Kathrin & Drexl, Michael & Irnich, Stefan, 2016. "Branch-and-price-and-cut for a service network design and hub location problem," European Journal of Operational Research, Elsevier, vol. 255(3), pages 935-947.
    8. Heinold, Arne & Meisel, Frank, 2020. "Emission limits and emission allocation schemes in intermodal freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    9. Andreas Rudi & Magnus Fröhling & Konrad Zimmer & Frank Schultmann, 2016. "Freight transportation planning considering carbon emissions and in-transit holding costs: a capacitated multi-commodity network flow model," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(2), pages 123-160, June.
    10. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem, 2021. "Green vehicle routing problem: A state-of-the-art review," Post-Print hal-03182944, HAL.
    11. Baykasoğlu, Adil & Subulan, Kemal, 2016. "A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 207-247.
    12. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).
    13. Thibault Delbart & Yves Molenbruch & Kris Braekers & An Caris, 2021. "Uncertainty in Intermodal and Synchromodal Transport: Review and Future Research Directions," Sustainability, MDPI, vol. 13(7), pages 1-25, April.
    14. Demir, Emrah & Burgholzer, Wolfgang & Hrušovský, Martin & Arıkan, Emel & Jammernegg, Werner & Woensel, Tom Van, 2016. "A green intermodal service network design problem with travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 789-807.
    15. Lopes, Verônica dos Santos & Fischer, Janaína & Pinheiro, Tais Magalhães Abrantes & Cabral, Bruna Vieira & Cardoso, Vicelma Luiz & Coutinho Filho, Ubirajara, 2017. "Biosurfactant and ethanol co-production using Pseudomonas aeruginosa and Saccharomyces cerevisiae co-cultures and exploded sugarcane bagasse," Renewable Energy, Elsevier, vol. 109(C), pages 305-310.
    16. Ge, Houtian & Baker, Quinton J. & Gomez, Miguel I. & Jaromczyk, Jerzy & Yi, Jing, 2022. "Assessing the carbon footprint of fresh produce assembly and distribution in the U.S," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322537, Agricultural and Applied Economics Association.
    17. Ben-Ammar, Oussama & Bettayeb, Belgacem & Dolgui, Alexandre, 2019. "Optimization of multi-period supply planning under stochastic lead times and a dynamic demand," International Journal of Production Economics, Elsevier, vol. 218(C), pages 106-117.
    18. Yang Shen & Xiuwu Zhang, 2022. "Study on the Impact of Environmental Tax on Industrial Green Transformation," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    19. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    20. Erica Varese & Danilo Stefano Marigo & Mariarosaria Lombardi, 2020. "Dry Port: A Review on Concept, Classification, Functionalities and Technological Processes," Logistics, MDPI, vol. 4(4), pages 1-16, November.

    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:eee:energy:v:298:y:2024:i:c:s0360544224010466. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.