Skip to main content

Network Design in Enterprises’ Green Growth Model

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

Abstract

Network design refers to the process of locating and arranging the capacities of suppliers, manufacturing plants, distribution centers, retailers, warehouses, and other related facilities involved in the value-added activities of a value chain. Network design acts as decision-making content for enterprises to implement the green growth model. It belongs to the strategic level of value chain reconstruction and directly determines the economic and environmental performance of enterprises. Given the new requirements of the enterprises’ green growth model for network design, efficient and reasonable network design decision-making is a key factor to help enterprises realize a green transformation. This chapter starts by introducing the basic framework and methods of network design. Then, focusing on network design considering carbon emissions, an optimization model and solution algorithm are developed, and the influence of carbon emissions on the network design is analyzed. Finally, shifting the focus to the network design of waste product collection channels, a closed-loop supply chain network model of manufacturer-remanufacturing and retailer-recycling is developed. This is used to analyze the influencing factors and mechanisms of network efficiency under different waste product collection channels and reuse technologies.

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

Access this chapter

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.environmentalleader.com/2021/06/pg-opens-new-innovation-center-for-sustainability-supply-chains/

References

  1. Peppard, J., & Rylander, A. (2006). From value chain to value network: Insights for mobile operators. European Management Journal, 24(2–3), 128–141.

    Article  Google Scholar 

  2. Farahani, R., Rezapour, S., Drezner, T., & Fallah, S. (2014). Competitive supply chain network design: An overview of classifications, models, solution techniques and applications. Omega, 45, 92–118.

    Article  Google Scholar 

  3. Rad, R. S., & Nahavandi, N. (2018). A novel multi-objective optimization model for integrated problem of green closed loop supply chain network design and quantity discount. Journal of Cleaner Production, 196, 1549–1565.

    Article  Google Scholar 

  4. Prakash, S., Kumar, S., Soni, G., Jain, V., & Rathore, A. P. S. (2020). Closed-loop supply chain network design and modelling under risks and demand uncertainty: An integrated robust optimization approach. Annals of Operations Research, 290(1), 837–864.

    Article  Google Scholar 

  5. Farshbaf-Geranmayeh, A., Taheri-Moghadam, A., & Torabi, S. A. (2020). Closed loop supply chain network design under uncertain price-sensitive demand and return. Infor, 58(4), 606–634.

    Google Scholar 

  6. Ozkan, O., & Kilic, S. (2019). A Monte Carlo Simulation for reliability estimation of logistics and supply chain networks. IFAC-PapersOnLine, 52(13), 2080–2085.

    Article  Google Scholar 

  7. Nouira, I., Hammami, R., Frein, Y., & Temponi, C. (2016). Design of forward supply chains: Impact of a carbon emissions-sensitive demand. International Journal of Production Economics, 173, 80–98.

    Article  Google Scholar 

  8. Muhammad, S., & Long, X. (2021). Rule of law and CO2 emissions: A comparative analysis across 65 belt and road initiative (BRI) countries. Journal of Cleaner Production, 279, 123539.

    Article  Google Scholar 

  9. Teng, F., & Wang, P. (2021). The evolution of climate governance in China: Drivers, features, and effectiveness. Environmental Politics, 30(sup1), 141–161.

    Article  Google Scholar 

  10. Choi, B., Luo, L., & Shrestha, P. (2021). The value relevance of carbon emissions information from Australian-listed companies. Australian Journal of Management, 46(1), 3–23.

    Article  Google Scholar 

  11. Sovacool, B. K., Martiskainen, M., Hook, A., & Baker, L. (2019). Decarbonization and its discontents: A critical energy justice perspective on four low-carbon transitions. Climatic Change, 155(4), 581–619.

    Article  Google Scholar 

  12. Zhang, W., Li, J., Li, G., & Guo, S. (2020). Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China. Energy, 196, 117117.

    Article  Google Scholar 

  13. Wang, Q., & Su, M. (2020). Drivers of decoupling economic growth from carbon emission–an empirical analysis of 192 countries using decoupling model and decomposition method. Environmental Impact Assessment Review, 81, 106356.

    Article  Google Scholar 

  14. Reddy, K. N., Kumar, A., Sarkis, J., & Tiwari, M. K. (2020). Effect of carbon tax on reverse logistics network design. Computers & Industrial Engineering, 139, 106184.

    Article  Google Scholar 

  15. Chen, X., & Lin, B. (2021). Towards carbon neutrality by implementing carbon emissions trading scheme: Policy evaluation in China. Energy Policy, 157, 112510.

    Article  Google Scholar 

  16. He, Q., Wang, N., Yang, Z., He, Z., & Jiang, B. (2019). Competitive collection under channel inconvenience in closed-loop supply chain. European Journal of Operational Research, 275(1), 155–166.

    Article  Google Scholar 

  17. Savaskan, R. C., Bhattacharya, S., & Van Wassenhove, L. N. (2004). Closed-loop supply chain models with product remanufacturing. Management Science, 50(2), 239–252.

    Article  Google Scholar 

  18. Xiao, Y. (2017). Choosing the right exchange-old-for-new programs for durable goods with a rollover. European Journal of Operational Research, 259(2), 512–526.

    Article  Google Scholar 

  19. Atasu, A., Toktay, L. B., & Van Wassenhove, L. N. (2013). How collection cost structure drives a manufacturer’s reverse channel choice. Production and Operations Management, 22(5), 1089–1102.

    Google Scholar 

  20. De Giovanni, P., & Zaccour, G. (2014). A two-period game of a closed-loop supply chain. European Journal of Operational Research, 232(1), 22–40.

    Article  Google Scholar 

  21. Han, X., Wu, H., Yang, Q., & Shang, J. (2016). Reverse channel selection under remanufacturing risks: Balancing profitability and robustness. International Journal of Production Economics, 182, 63–72.

    Article  Google Scholar 

  22. Feng, L., Govindan, K., & Li, C. (2017). Strategic planning: Design and coordination for dual-recycling channel reverse supply chain considering consumer behavior. European Journal of Operational Research, 260(2), 601–612.

    Article  Google Scholar 

  23. Simpson, D., Power, D., Riach, K., & Tsarenko, Y. (2019). Consumer motivation for product disposal and its role in acquiring products for reuse. Journal of Operations Management, 65(7), 612–635.

    Article  Google Scholar 

  24. Abbey, J. D., Meloy, M. G., Guide, V. D. R., Jr., & Atalay, S. (2015). Remanufactured products in closed-loop supply chains for consumer goods. Production and Operations Management, 24(3), 488–503.

    Article  Google Scholar 

  25. Agrawal, V. V., Atasu, A., & Van Wassenhovec, L. N. (2019). New opportunities for operations management research in sustainability. Manufacturing & Service Operations Management, 21(1), 1–12.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

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

Zhang, M., Yuchi, Q., Wang, N., He, Q. (2022). Network Design in Enterprises’ Green Growth Model. In: Enterprises’ Green Growth Model and Value Chain Reconstruction. Springer, Singapore. https://doi.org/10.1007/978-981-19-3991-4_5

Download citation

Publish with us

Policies and ethics