Titlebook: Sustainable Manufacturing and Remanufacturing Management; Process Planning, Op Weidong Li,Sheng Wang Book 2019 Springer International Publi

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W. D. Li,K. Xia,L. Gao,K. M. Chaor be absolutely admissible, we can say that . is analogous to the set of regular elements of the Lie algebra of . via its adjoint representation [cf. 4]. The significance of . is that it permits us to formulate a conjectural Siegel formula in a precise, explicit form. (The restriction to . correspon

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Kai Xia,Liang Gao,Weidong Li,Kuo-Ming Chaor be absolutely admissible, we can say that . is analogous to the set of regular elements of the Lie algebra of . via its adjoint representation [cf. 4]. The significance of . is that it permits us to formulate a conjectural Siegel formula in a precise, explicit form. (The restriction to . correspon

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Sustainable Manufacturing and Remanufacturing ManagementProcess Planning, Op

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Sustainable Manufacturing and Remanufacturing Management978-3-319-73488-0

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Energy-aware Integrated Process Planning and Scheduling for Job Shops,is adopted to explore the optimal solution (Pareto solution) between energy consumption and makespan. Finally, case studies of energy-aware integrated process planning and scheduling are performed, and the proposed algorithm is compared with other methods. The approach is shown to generate interesti

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Experimental Investigation and Multi-objective Optimization Approach for Low-Carbon Milling Operatis on aluminum are performed to verify the proposed regression and optimization models. The experimental results show that a higher spindle speed and feed rate are more advantageous for achieving the performance indicators, and the depth of cut is the most critical process parameter because the incre

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Cyber-Physical System and Big Data-Enabled Scheduling Optimization for Sustainable Machining,ish energy models of components machined in a shop floor according to current working conditions of CNC machines. Based on the energy models, a fruit fly optimization (FFO) algorithm has been applied to generate a multi-objective optimized schedule. For re-scheduling, another ANNs-based algorithm ha