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Environmentally Friendly Supply Chain Planning and Design for Biodiesel Production via Wastewater Sludge

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  • Mohammad Marufuzzaman

    (Department of Industrial and Systems Engineering, Mississippi State University, Starkville, Mississippi 39762)

  • Sandra Duni Ekşioğlu

    (Department of Industrial and Systems Engineering, Mississippi State University, Starkville, Mississippi 39762)

  • Rafael Hernandez

    (Department of Chemical Engineering, University of Louisiana, Lafayette, Louisiana 70504)

Abstract

This study presents mathematical models that capture the impact of different carbon-emission-related policies on the design of the biodiesel supply chain. These mathematical models identify locations and production capacities for biocrude production plants by exploring the trade-offs that exist between transportation costs, facility investments costs, and emissions. The mathematical models capture the dynamics of biomass supply and transportation costs during a predefined time horizon. We analyze the behavior of the chain under different regulatory policies such as carbon cap, carbon tax, carbon cap and trade, and carbon offset mechanisms. A number of observations are made about the impact of each policy on the supply chain performance. The models we developed are solved by using a commercial software GAMS/CPLEX. We use the state of Mississippi as the testing grounds for these models, and employ ArcGIS to visualize and validate the results from the optimization models.

Suggested Citation

  • Mohammad Marufuzzaman & Sandra Duni Ekşioğlu & Rafael Hernandez, 2014. "Environmentally Friendly Supply Chain Planning and Design for Biodiesel Production via Wastewater Sludge," Transportation Science, INFORMS, vol. 48(4), pages 555-574, November.
    • Handle: RePEc:inm:ortrsc:v:48:y:2014:i:4:p:555-574
    DOI: 10.1287/trsc.2013.0505
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    5. Yang, Lei & Hu, Yijuan & Huang, Lijuan, 2020. "Collecting mode selection in a remanufacturing supply chain under cap-and-trade regulation," European Journal of Operational Research, Elsevier, vol. 287(2), pages 480-496.
    6. Y. Mechouar & Vincent Hovelaque & Carl Gaigne, 2022. "Effect of raw material substitution on the facility location decision under a carbon tax policy," Post-Print halshs-03517835, HAL.
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    10. 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.
    11. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
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    13. Youcef MECHOUAR & V Hovelaque & C Gaigné, 2021. "Effect of raw material substitution on the facility location decision under a carbon tax policy," Post-Print hal-04155066, HAL.
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    19. Mohammad S. Roni & Sandra D. Eksioglu & Kara G. Cafferty & Jacob J. Jacobson, 2017. "A multi-objective, hub-and-spoke model to design and manage biofuel supply chains," Annals of Operations Research, Springer, vol. 249(1), pages 351-380, February.
    20. Najafi, Fatemeh & Sedaghat, Ahmad & Mostafaeipour, Ali & Issakhov, Alibek, 2021. "Location assessment for producing biodiesel fuel from Jatropha Curcas in Iran," Energy, Elsevier, vol. 236(C).

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