Titlebook: Recent Advances in Intelligent Manufacturing; First International Shilong Wang,Mark Price,Rui Chen Conference proceedings 2018 Springer Na

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An Optimization Model of Vehicle Routing Problem for Logistics Based on Sustainable Development Theoel that includes social indicators, economic indicators and environmental indicators. Minimum total cost as a goal,that includes social costs, fixed costs, fuel costs, delay costs, CO. emission costs and PM emissions costs. The particle swarm optimization was proposed to solve the case. The impact o

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Delivery Vehicle Scheduling Modeling and Optimization for Automobile Mixed Milk-Run Mode Involved Inmilk-run optimization problem. The preliminary comparison results indicate that the proposed mixed mode could provide a more practical method to significantly reduce the cost of logistics for the whole supply chain.

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An Optimization Model of Vehicle Routing Problem for Logistics Based on Sustainable Development Theof different carbon dioxide prices on economic costs and environmental costs were discussed. The results show that increasing carbon dioxide prices can reduce pollutant emissions and lower operating costs. Finally the limitations and future research directions of this study are discussed.

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Data Driven Die Casting Smart Factory Solutionand the application of data driven new mode, the “Physics + Information + Decision” three layers of cyber-physical system is designed. This solution digs the value of manufacturing data, and promote the efficient production of die casting smart factory.

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Research on the Process Layout Evaluation of Rail Vehicle Assembly Workshop in the Lean Intelligent y relational analysis is used to calculate gray correlation between the current state and the ideal level of each indicator, so as to achieve a quantitative evaluation. Three typical urban rail vehicle assembly workshops of CRRC are evaluated, and the evaluation results are consistent with the actual situation.