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Multi-objective optimization for transportation mode selection: A case study in logistics
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DOI：10.1016/j.ajsl.2026.01.002.png)
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摘要
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• MILP with a weighted-sum objective minimizes cost and lead time, enabling strategic trade-offs. • From 504 kg India–Bangladesh data: road is best overall; air for urgency, sea for lowest cost. • Lambda (λ) sensitivity shows small weight changes can shift the optimal transport mode. • The model saved $50k+/year; scalable across routes and extendable to factors like emissions.
Keyword:
Optimization
Transportation
MOO
MILP
Logistics
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