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Inventory Transshipment Considering Greenhouse Gas Emissions for Sustainable Cross-Filling in Cold Supply Chains

Author

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  • Hang Thi Thanh Vu

    (Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Suwon-si 16499, Republic of Korea)

  • Jeonghan Ko

    (Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Suwon-si 16499, Republic of Korea)

Abstract

In recent years, sustainable supply chain management has gained increasing attention, and greenhouse gas (GHG) emissions throughout supply chains have been identified as one of the most important sustainability issues. This paper presents an investigation of the problem of transshipment among distribution centers (DCs) in a cold supply chain to achieve sustainable inventory cross-filling. Although transshipment is an effective tool for supply chain pooling, the possibility of increased GHG emissions raises environmental concerns. This study establishes a sustainable cold-chain logistics model that considers GHG emissions from DC storage and transshipment trucks. The new sustainable cold-chain model also reflects laden status and cargo weights of trucks for accurate emission assessment. An optimization model is also developed to minimize both GHG emissions and costs in the cold chain. Numerical simulations are conducted for diverse problem cases to examine important problem characteristics. The result analysis identifies that inventory service levels and demand variability have a strong impact on GHG emissions in transshipment; small p -values in the statistical analysis verify the significance of this effect. The different effects of demand variability and service levels on each emission source are also analyzed. The results demonstrate that transshipment among DCs can effectively reduce both GHG emissions and costs in cold supply chains. This study provides useful models and tools to assess GHG emissions and optimize decisions for the design and operation of transshipment. The proposed models will enable the assessment of sustainable alternatives and achieve sustainability objectives effectively for cold supply chains.

Suggested Citation

  • Hang Thi Thanh Vu & Jeonghan Ko, 2023. "Inventory Transshipment Considering Greenhouse Gas Emissions for Sustainable Cross-Filling in Cold Supply Chains," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7211-:d:1133364
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    References listed on IDEAS

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    1. Pablo Becerra & Josefa Mula & Raquel Sanchis, 2022. "Sustainable Inventory Management in Supply Chains: Trends and Further Research," Sustainability, MDPI, vol. 14(5), pages 1-19, February.
    2. Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2014. "Multi-product multi-period inventory routing problem with a transshipment option : A green approach," Post-Print hal-02313081, HAL.
    3. Bhatnagar, Rohit & Lin, Bing, 2019. "The joint transshipment and production control policies for multi-location production/inventory systems," European Journal of Operational Research, Elsevier, vol. 275(3), pages 957-970.
    4. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-transshipment control policy for a two-location unreliable manufacturing system," International Journal of Production Economics, Elsevier, vol. 247(C).
    5. Gaoyuan Qin & Fengming Tao & Lixia Li, 2019. "A Vehicle Routing Optimization Problem for Cold Chain Logistics Considering Customer Satisfaction and Carbon Emissions," IJERPH, MDPI, vol. 16(4), pages 1-17, February.
    6. Vinod Yadav & Piyush Gaur & Rakesh Jain, 2021. "On adoption of green logistics: a literature review," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 40(2), pages 193-219.
    7. Suk-Chul Rim & Hang T. T. Vu, 2021. "Transshipment Vehicle Routing with Pickup and Delivery for Cross-Filling," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, January.
    8. Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik & Ebrahim Mohammadi Hoseinhajlou, 2019. "A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem," Post-Print hal-02312014, HAL.
    9. Mirzapour Al-e-hashem, S.M.J. & Rekik, Yacine, 2014. "Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach," International Journal of Production Economics, Elsevier, vol. 157(C), pages 80-88.
    10. Erdoğan, Sevgi & Miller-Hooks, Elise, 2012. "A Green Vehicle Routing Problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 100-114.
    11. 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).
    12. Chen, Frank Y. & Krass, Dmitry, 2001. "Inventory models with minimal service level constraints," European Journal of Operational Research, Elsevier, vol. 134(1), pages 120-140, October.
    13. Songyi Wang & Fengming Tao & Yuhe Shi, 2018. "Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint," IJERPH, MDPI, vol. 15(1), pages 1-17, January.
    14. Pedro Amorim & Sophie Parragh & Fabrício Sperandio & Bernardo Almada-Lobo, 2014. "A rich vehicle routing problem dealing with perishable food: a case study," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(2), pages 489-508, July.
    15. 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.
    16. Hang Thi Thanh Vu & Jeonghan Ko, 2022. "Integrated Inventory Transshipment and Missing-Data Treatment Using Improved Imputation-Level Adjustment for Efficient Cross-Filling," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    17. Mirzapour Al-e-hashem, Seyed M.J. & Rekik, Yacine & Mohammadi Hoseinhajlou, Ebrahim, 2019. "A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem," International Journal of Production Economics, Elsevier, vol. 209(C), pages 381-398.
    18. Qingren He & Taiwei Shi & Botao Liu & Wanhua Qiu, 2022. "The Ordering Optimization Model for Bounded Rational Retailer with Inventory Transshipment," Mathematics, MDPI, vol. 10(7), pages 1-16, March.
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