Multi-Objective Planning Model for Sustainable Agri-Food Supply Chains

A 52.2 KB DOCX file uploaded by Yameng Huang on April 21, 2026, containing a multi-objective planning model for agri-food supply chains. The model integrates profitability with three fairness dimensions—distributional fairness, financial-risk resilience, and service fairness—and uses stochastic programming to handle yield and price uncertainty. It was solved using algorithms including NSGA-II, MOPSO, and MOWOA.

Use Cases

• Benchmarking multi-objective optimization algorithms (NSGA-II, MOPSO, MOWOA) based on the described agri-food supply chain model.
• Analyzing trade-offs between profitability and multi-dimensional fairness metrics mentioned in the description.
• Conducting sensitivity analysis on how fairness-weight preferences and structural constraints shape supply chain outcomes.
• Designing contracts and resource allocation strategies for fairness-oriented decision-making in agri-food systems.

Strengths

• Model incorporates three specific fairness dimensions: distributional fairness, financial-risk resilience, and service fairness.
• Compares a scenario-based stochastic programming approach with a deterministic benchmark for uncertainty.
• Includes sensitivity analyses on fairness-weight preferences and structural constraints.

Limitations

• The dataset is a 52.2 KB DOCX file, indicating a very limited scope, likely containing model documentation rather than extensive data.
• Row count and column-level documentation are unknown, which limits suitability assessment for direct data analysis.
• The description does not specify the geographic or temporal coverage of any underlying case study data.

Provenance

Source

figshare, uploaded by Yameng Huang.

Collection Method

The dataset likely contains the formulation and results of a proposed mixed-integer non-linear programming model.

Freshness

Last updated 2026-04-21 19:58:33.