作者: Shih-Fen Cheng , Pang Jin Tan , Hoong Chuin Lau , Lucas Agussurja
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摘要: Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study and distribution networks with environmental considerations. operational are, for example, routing scheduling constrained by carbon emissions. Our paper explores work tactical planning regards to vehicle resource allocation from centers customer locations a multi-echelon logistics network. We formulate bi-objective optimization problem exactly design memetic algorithm efficiently derive approximate Pareto front. illustrate applicability our approach large real-world dataset.