Skip to main content
SpringerLink
Log in

Green Logistics

  • Chapter
  • First Online:
Enterprises’ Green Growth Model and Value Chain Reconstruction

  • 435 Accesses

Abstract

Logistics is an important link connecting all operational activities of enterprises and has a significant impact on their growth and green initiatives. In contrast to traditional logistics, green logistics in enterprises’ green growth model focus on achieving environmental friendliness while pursuing optimal efficiency of resource allocation in logistics and distribution activities. This chapter mainly covers four aspects. First, it briefly introduces the connotation and main implementation path of green logistics. Second, it presents the split routing optimization problem of low-carbon distribution with the optimization goal of reducing carbon emissions. And then, it presents the routing optimization problem of collaborative distribution in forward and reverse logistics considering multiple types of depots under complete information sharing. Finally, the routing optimization problem for hazardous materials distribution based on the principles of fatal incident avoidance is proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.sohu.com/a/527231397_100012935.

  2. 2.

    https://baijiahao.baidu.com/s?id=1597324356686911998&wfr=spider&for=pc.

  3. 3.

    http://www.csteelnews.com/sjzx/hyyj/202104/t20210414_49107.html.

  4. 4.

    https://www.dsb.cn/news-flash/84521.html.

  5. 5.

    https://baijiahao.baidu.com/s?id=1709738908355396817&wfr=spider&for=pc.

  6. 6.

    https://www.sohu.com/a/539884296_484815.

  7. 7.

    https://www.phmsa.dot.gov/hazmat-program-management-data-and-statistics/data-operations/incident-statistics.

References

  1. Fang, S., Wang, Y., Gou, B., & Xu, Y. (2019). Toward future green maritime transportation: An overview of seaport microgrids and all-electric ships. IEEE Transactions on Vehicular Technology, 69(1), 207–219.

    Article  Google Scholar 

  2. Wang, Y., Peng, S., Zhou, X., Mahmoudi, M., & Zhen, L. (2020). Green logistics location-routing problem with eco-packages. Transportation Research Part E: Logistics and Transportation Review, 143, 102118.

    Article  Google Scholar 

  3. Ali, S. S., Kaur, R., & Khan, S. (2022). Evaluating sustainability initiatives in warehouse for measuring sustainability performance: An emerging economy perspective. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04454-w

    Article  Google Scholar 

  4. Jaehn, F., & Meissner, F. (2022). The rebound effect in transportation. Omega, 108, 102563.

    Article  Google Scholar 

  5. Zhang, M., Wang, N., He, Z., Yang, Z., & Guan, Y. (2019). Bi-objective vehicle routing for hazardous materials transportation with actual load dependent risks and considering the risk of each vehicle. IEEE Transactions on Engineering Management, 66(3), 429–442.

    Article  Google Scholar 

  6. Tirkolaee, E. B., Goli, A., & Mardani, A. (2021). A novel two-echelon hierarchical location-allocation-routing optimization for green energy-efficient logistics systems. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04363-y

    Article  Google Scholar 

  7. Bekta, T., & Laporte, G. (2011). The pollution-routing problem. Transportation Research Part B: Methodological, 45, 1232–1250.

    Article  Google Scholar 

  8. Camacho-Vallejo, J. F., López-Vera, L., Smith, A. E., & González-Velarde, J. L. (2021). A tabu search algorithm to solve a green logistics bi-objective bi-level problem. Annals of Operations Research. https://doi.org/10.1007/s10479-021-04195-w

    Article  Google Scholar 

  9. Chen, J., Liao, W., & Yu, C. (2021). Route optimization for cold chain logistics of front warehouses based on traffic congestion and carbon emission. Computers & Industrial Engineering, 161, 107663.

    Article  Google Scholar 

  10. Jauhar, S. K., Amin, S. H., & Zolfagharinia, H. (2021). A proposed method for third-party reverse logistics partner selection and order allocation in the cellphone industry. Computers & Industrial Engineering, 162, 107719.

    Article  Google Scholar 

  11. Khanagha, S., Ansari, S., Paroutis, S., & Oviedo, L. (2022). Mutualism and the dynamics of new platform creation: A study of Cisco and fog computing. Strategic Management Journal, 43(3), 476–506.

    Article  Google Scholar 

  12. Lai, M., Cai, X., & Hall, N. G. (2021). Cost allocation for Less-Than-Truckload collaboration via shipper consortium. Transportation Science. https://doi.org/10.1287/trsc.2021.1066

    Article  Google Scholar 

  13. Montoya-Torres, J. R., Muñoz-Villamizar, A., & Vega-Mejía, C. A. (2016). On the impact of collaborative strategies for goods delivery in city logistics. Production Planning & Control, 27(6), 443–455.

    Article  Google Scholar 

  14. Mancini, S., Gansterer, M., & Hartl, R. F. (2021). The collaborative consistent vehicle routing problem with workload balance. European Journal of Operational Research, 293(3), 955–965.

    Article  Google Scholar 

  15. Erkut, E., & Ingolfsson, A. (2005). Transport risk models for hazardous materials: Revisited. Operations Research Letters, 33(1), 81–89.

    Article  Google Scholar 

  16. Bula, G., Prodhon, C., Gonzalez, F., Afsar, H., & Velasco, N. (2017). Variable neighborhood search to solve the vehicle routing problem for hazardous materials transportation. Journal of Hazardous Materials, 324, 472–480.

    Article  Google Scholar 

  17. Wang, N., Zhang, M., Che, A., & Jiang, B. (2018). Bi-objective vehicle routing for hazardous materials transportation with no vehicles travelling in echelon. IEEE Transactions on Intelligent Transportation Systems, 19(6), 1867–1879.

    Article  Google Scholar 

  18. Bula, G., Afsar, H., González, F., Prodhon, C., & Velasco, N. (2019). Bi-objective vehicle routing problem for hazardous materials transportation. Journal of Cleaner Production, 206, 976–986.

    Article  Google Scholar 

  19. Ghaderi, A., & Burdett, R. (2019). An integrated location and routing approach for transporting hazardous materials in a bi-modal transportation network. Transportation Research Part E: Logistics and Transportation Review, 127, 49–65.

    Article  Google Scholar 

  20. Zhang, M., Wang, N., He, Z., & Jiang, B. (2021). Vehicle routing optimization for hazmat shipments considering catastrophe avoidance and failed edges. Transportation Research Part E: Logistics and Transportation Review, 150, 102337.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Management, Xi’an Jiaotong University, Xi’an, Shaanxi, 710049, China

    Weixuan Shi, Meng Zhang & Nengmin Wang

  2. Department of Management, Driehaus College of Business, DePaul University, Chicago, IL, 60604, USA

    Bin Jiang

Authors
  1. Weixuan Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Meng Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nengmin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bin Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nengmin Wang .

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Shi, W., Zhang, M., Wang, N., Jiang, B. (2022). Green Logistics. In: Enterprises’ Green Growth Model and Value Chain Reconstruction. Springer, Singapore. https://doi.org/10.1007/978-981-19-3991-4_12

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-3991-4_12

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3990-7

  • Online ISBN: 978-981-19-3991-4

  • eBook Packages: Economics and FinanceEconomics and Finance (R0)

Publish with us

Policies and ethics

Search

Navigation