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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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    Cited by:

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    4. 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.
    5. Malladi, Krishna Teja & Sowlati, Taraneh, 2020. "Bi-objective optimization of biomass supply chains considering carbon pricing policies," Applied Energy, Elsevier, vol. 264(C).
    6. Lance W. Saunders & J. Paul Brooks & Jason R. W. Merrick & Chad W. Autry, 2020. "Addressing Economic/Environmental Sustainability Trade‐offs in Procurement Episodes with Industrial Suppliers," Production and Operations Management, Production and Operations Management Society, vol. 29(5), pages 1256-1269, May.
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    8. 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).
    9. Tang, Ruihong & Yang, Lei, 2020. "Impacts of financing mechanism and power structure on supply chains under cap-and-trade regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 139(C).
    10. 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.
    11. 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.
    12. Sadeghi Darvazeh, Saeed & Mansoori Mooseloo, Farzaneh & Gholian-Jouybari, Fatemeh & Amiri, Maghsoud & Bonakdari, Hossein & Hajiaghaei-Keshteli, Mostafa, 2024. "Data-driven robust optimization to design an integrated sustainable forest biomass-to-electricity network under disjunctive uncertainties," Applied Energy, Elsevier, vol. 356(C).
    13. Marufuzzaman, Mohammad & Ekşioğlu, Sandra Duni, 2017. "Managing congestion in supply chains via dynamic freight routing: An application in the biomass supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 54-76.
    14. Chen, Wenbo, 2018. "Retailer-driven carbon emission abatement with consumer environmental awareness and carbon tax: Revenue-sharing versus Cost-sharingAuthor-Name: Yang, Huixiao," Omega, Elsevier, vol. 78(C), pages 179-191.
    15. Rofin T.M. & Umakanta Mishra & Jei-Zheng Wu, 2022. "Performance of Channel Members under Emission-Sensitive Demand for Green Supply Chain Management: A Game Theory Approach," Mathematics, MDPI, vol. 10(11), pages 1-23, May.
    16. Tim Kraft & León Valdés & Yanchong Zheng, 2020. "Motivating Supplier Social Responsibility Under Incomplete Visibility," Manufacturing & Service Operations Management, INFORMS, vol. 22(6), pages 1268-1286, November.
    17. Malladi, Krishna Teja & Sowlati, Taraneh, 2020. "Impact of carbon pricing policies on the cost and emission of the biomass supply chain: Optimization models and a case study," Applied Energy, Elsevier, vol. 267(C).
    18. Fang, Yuan & Yu, Yugang & Shi, Ye & Liu, Jie, 2020. "The effect of carbon tariffs on global emission control: A global supply chain model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    19. Tang, Ruihong & Yang, Lei & Ji, Jingna, 2023. "Impacts of fairness concerns on financing equilibrium in a low-carbon supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

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