IDEAS home Printed from https://ideas.repec.org/a/gam/jlogis/v8y2024i3p78-d1448651.html
   My bibliography  Save this article

Location Optimization Strategies for Corn Production and Distribution towards Sustainable Green Supply Chain

Author

Listed:
  • Labiba Noshin Asha

    (Department of Industrial Engineering, University of Arkansas, Fayetteville, AR 72701, USA
    Department of Industrial and Manufacturing Engineering, North Dakota State University, Fargo, ND 58102, USA)

  • Lucy G. Aragon

    (Department of Engineering, Pontificia Universidad Catolica del Peru, San Miguel, Lima 15088, Peru)

  • Arup Dey

    (Department of Computer Science and Engineering Technology, Valdosta State University, Valdosta, GA 31698, USA)

  • Nita Yodo

    (Department of Industrial and Manufacturing Engineering, North Dakota State University, Fargo, ND 58102, USA)

Abstract

Background: The corn supply chain is vital for food security and economic stability regionally and globally. This study integrates sustainable supply chain management with location optimization to address trade-offs from climate change, economic viability, and environmental impact while assuming the constant social obligation inherent in the supply chain structure. Methods: This study employs a mixed-integer programming (MIP) framework to optimize facility locations in North Dakota, including corn production zones as suppliers and ethanol plants as consumers. Primary objectives include cost minimization and greenhouse gas reduction, enabling the prioritization of economic or environmental goals as per organizational strategies and regulations. This approach ultimately maximizes resource utilization by ensuring efficient production and distribution practices. Results: The case study results highlight the optimal selection of 20 out of 30 corn production zones to meet statewide ethanol plant demand efficiently. Using compressed natural gas (CNG) instead of diesel could potentially save USD 2 million annually and cut carbon emissions by up to 1148 thousand tons per year, demonstrating meaningful progress toward economic and environmental sustainability within the supply network. Conclusions: The presented work offers a systematic methodology for designing sustainable supply chains for various agricultural products, aligning with the broader goal of promoting sustainability and resilience for efficient agricultural production and distribution systems.

Suggested Citation

  • Labiba Noshin Asha & Lucy G. Aragon & Arup Dey & Nita Yodo, 2024. "Location Optimization Strategies for Corn Production and Distribution towards Sustainable Green Supply Chain," Logistics, MDPI, vol. 8(3), pages 1-16, August.
  • Handle: RePEc:gam:jlogis:v:8:y:2024:i:3:p:78-:d:1448651
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2305-6290/8/3/78/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2305-6290/8/3/78/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baker, Mindy L. & Babcock, Bruce A., 2008. "Value maximization from corn fractionation: feed, greenhouse gas reductions, and cointegration of ethanol and livestock," Integration of Agricultural and Energy Systems Conference, February 12-13, 2008, Atlanta, Georgia 48714, Farm Foundation.
    2. Erfan Babaee Tirkolaee & Alireza Goli & Abbas Mardani, 2023. "A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems," Annals of Operations Research, Springer, vol. 324(1), pages 795-823, May.
    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. Feng, Hongli & Rubin, Ofir D. & Babcock, Bruce A., 2008. "Greenhouse Gas Impacts of Ethanol from Iowa Corn: Life Cycle Analysis versus System-wide Accounting," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6503, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Jason Fewell & Cole Gustafson, 2010. "Do lender‐imposed sweeps affect ethanol technology investment?," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(2), pages 169-183, August.
    3. Maleki, Abolfazl & Hemmati, Vahid & Reza Abazari, Seyed & Aghsami, Amir & Rabbani, Masoud, 2024. "Optimal distribution and waste management of Covid-19 vaccines from vaccination centers’ satisfaction perspective – A fuzzy time window-based VRP," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    4. Johnson, Matthew & Yu, T. Edward & Griffith, Andrew P. & Jensen, Kimberly L. & Cho, Seong-Hoon, 2015. "Regional Dynamic Price Relationships between Distillers Dried Grains and Feed Grains," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196900, Southern Agricultural Economics Association.
    5. Feng, Hongli & Rubin, Ofir D. & Babcock, Bruce A., 2008. "Greenhouse Gas Impacts of Ethanol from Iowa Corn," Lifecycle Carbon Footprint of Biofuels Workshop, January 29, 2008, Miami Beach, Florida 49101, Farm Foundation.
    6. Feng, Hongli & Rubin, Ofir D. & Babcock, Bruce, 2010. "Greenhouse gas impacts of ethanol from Iowa corn: Life cycle assessment versus system wide approach," ISU General Staff Papers 201006010700001482, Iowa State University, Department of Economics.
    7. Apichit Maneengam, 2023. "Multi-Objective Optimization of the Multimodal Routing Problem Using the Adaptive ε-Constraint Method and Modified TOPSIS with the D-CRITIC Method," Sustainability, MDPI, vol. 15(15), pages 1-22, August.

    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:gam:jlogis:v:8:y:2024:i:3:p:78-:d:1448651. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.