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Designing a dairy supply chain network considering sustainability and resilience: a multistage decision-making
Farnaz Zarei-Kordshouli1, Mohammad Mahdi Paydar1, Sina Nayeri2
1Department of Industrial Engineering, Babol Noshirvani University of Technology, Babol, Iran.
This study introduces a multistage framework for sustainable and resilient supply chain network design. It optimizes supplier selection and configuration to minimize costs while enhancing sustainability and resilience.
Area of Science:
- Operations Research
- Supply Chain Management
- Sustainability Science
Background:
- The COVID-19 pandemic highlighted the need for robust supply chain strategies.
- Integrating sustainability and resilience is critical for competitive market positioning.
- Traditional supply chain models often overlook these crucial dimensions.
Purpose of the Study:
- To develop a comprehensive decision-making framework for supply chain network design.
- To incorporate sustainability and resilience into supplier selection and configuration.
- To optimize supply chains for cost, sustainability, and resilience.
Main Methods:
- A multistage decision-making framework was developed.
- Multi-attribute Decision Making (MADM) methods were used to score suppliers.
- A mathematical model incorporating sustainability and resilience was formulated and solved using preemptive fuzzy goal programming.
Main Results:
- Responsiveness and facility reinforcement are key resilience indicators.
- Reliability and quality are paramount for sustainability.
- Purchasing and production costs constitute a significant portion of total supply chain costs.
- Increased demand leads to higher overall supply chain costs.
Conclusions:
- The proposed framework effectively integrates sustainability and resilience into supply chain design.
- The model provides a systematic approach for supplier evaluation and network configuration.
- Findings offer valuable insights for enhancing supply chain performance in dynamic market conditions.
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