Research on Supply Chain Coordination of Green Production and Green Sales Investment Decisions Under Random Demand
- DOI
- 10.2991/978-94-6463-570-6_67How to use a DOI?
- Keywords
- Green Supply Chain; Carbon Emission Reduction Efforts; Demand Variability; Supply Chain Coordination
- Abstract
The increasing consumption of resources and environmental pollution are be-coming more serious issues. To achieve the national strategic goal of “dual carbon,” enterprises throughout the supply chain are facing severe challenges. This article addresses the joint decision-making regarding inventory and carbon emission reduction efforts in green supply chains involving efforts by manufacturers and retailers. Firstly, a centralized system model for the supply chain is established, demonstrating that demand variability negatively impacts the profit of the centralized system. Secondly, concerning a decentralized system in which both manufacturers and retailers are working on carbon emission reduction, it is shown that a buyback contract with shared costs can coordinate the supply chain. The optimal expected profits of manufacturers and retailers are directly proportional to the costs they bear for carbon emission reduction. Numerical examples validate the research findings obtained.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xinyuan Zhang PY - 2024 DA - 2024/11/22 TI - Research on Supply Chain Coordination of Green Production and Green Sales Investment Decisions Under Random Demand BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 679 EP - 686 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_67 DO - 10.2991/978-94-6463-570-6_67 ID - Zhang2024 ER -