Machine learning and blockchain team up to cut supply chain costs and carbon
A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to balance supply chain costs and ...
A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to balance supply chain costs and ...
A new algorithm refines classical loop tracing in transportation simplex methods, matching optimal solutions while cutting redundant loop enumeration and ...
A new study finds global soybean trade avoided an estimated 122 million tonnes of carbon dioxide equivalent in 2023 compared ...
A new routing framework for Nairobi weighs both traffic congestion and air pollution, using fuzzy clustering and linear programming to ...
A computational study combines q-rung picture fuzzy arithmetic with dynamic programming to optimize multi-stage decisions while preserving membership, hesitation and ...
Turning a plain-English description of a logistics headache into a working mathematical model has long been a task reserved for ...
A new study applies Wasserstein distance and linear programming to benchmark ten São Paulo river basins against 23 European countries, ...
Researchers have developed a fuzzy multi-objective solid transportation model that simultaneously optimizes cost, transit time, and route security under uncertainty ...
A linear day-ahead clearing model for integrated energy systems reveals that carbon pricing, demand shifting, and grid capacity must be ...
Researchers have built a closed-loop decision-making system that fuses machine learning prediction with operations research optimization to keep Internet of ...
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© 2025 Scienmag - Science Magazine