Analyzing Quantity-based Strategies for Supply Chain Sustainability and Resilience in Uncertain Environment

In today's interconnected world, where supply chains are the backbone of commerce, ensuring their resilience and sustainability is paramount. This study investigates how quantity-based strategies in supply chain networks are influenced by sustainability and resilience considerations. A conceptual framework is devised, focusing on a two-echelon supply chain network comprising a central supplier and multiple stores. A stochastic mathematical model is constructed to tackle demand uncertainty while incorporating parameters related to sustainability and resilience. Competitive negotiations between suppliers and stores aim at maximizing expected profits. Two store configurations are examined: non-cooperative and cooperative. Supplier resilience is reinforced through strategies like security stocks and diversified sourcing, while sustainability efforts are considered by the supplier and stores. Results show that demand following a uniform distribution benefits stores and suppliers, and cooperative behavior among stores leads to higher profitability. Sustainability initiatives impact expected profits, with security stocks particularly advantageous for supplier profitability. The utilization of foreign products has a detrimental effect on expected profits, emphasizing the significance of government regulation via customs fees. The study underscores the importance of integrating sustainability and resilience in supply chain networks. It concludes with reflections on model limitations and proposes avenues for future research in this domain.

@article{SAIDI2024,
  title     = {Analyzing Quantity-based Strategies for Supply Chain Sustainability and Resilience in Uncertain Environment},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {5},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Dounia SAIDI and Aziz AIT BASSOU and Mustapha HLYAL and Jamila EL ALAMI},
  doi       = {10.14569/IJACSA.2024.0150533},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150533}
}