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Study on Model and Algorithm of Scheduling in Aluminum Industry Process for Energy Saving

Author: YinErWei
Tutor: ZouFengXing
School: National University of Defense Science and Technology
Course: Control Science and Engineering
Keywords: Aluminum Industry Energy-saving Production scheduling Multi-objective optimization HPSO algorithm Software Development
CLC: TF808
Type: Master's thesis
Year: 2010
Downloads: 64
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Production scheduling system the aluminum industrial organization and management of the center of the production, the optimal scheduling flexibility, improve equipment utilization, reduce energy consumption for the aluminum industry to increase system aspects are of great significance. The objective of maximizing aluminum industrial enterprises simply pursue business interests, experience scheduling unable to achieve optimal energy consumption as the goal of production scheduling and resource allocation problem optimal energy consumption target, take full account of the process requirements , warehousing, transportation and delivery of integrated constraints, aluminum industrial production scheduling and resource optimization problems. For energy saving to the National Natural Science Foundation of China, \, build mathematical models for different scheduling problems in the aluminum industry production process, and based on the improved particle swarm algorithm optimization algorithm, the main work is as follows: (1) Process Analysis summed up the impact of energy consumption in the aluminum industry production process factors, then extract the scheduling factors, find foothold for the energy saving scheduling problem, according to the size of the these factors influence on the energy consumption in the actual production, the aluminum industrial production scheduling factors greater impact on energy consumption the actual scheduling factors extracted and selected as the focus of this study. (2) to establish the optimal scheduling model of sintering and Bayer unified with mine, and for the presence of the non-linear model, multi-constraint and multi-target characteristics, the use of the introduction of genetic factors HPSO algorithm optimization. Give full consideration to the software industry based on practicality and friendly interface, the application of the scheduling, design and development of the the alumina ore matching process optimization scheduling software, and software copyright. (3) to the continuous casting and rolling interrupt and wait for the energy consumption of the furnace, and a minimum of the objective function, combined production experience, continuous casting and rolling production line scheduling model and proposed a new improved hybrid particle swarm Finally, the use of actual production data for the simulation results analysis algorithm the HPSO-LP algorithm for solving; (4) The minimum of the objective function in the production of energy, transport energy consumption and inventory energy consumption of aluminum industrial virtual enterprise partner selection scheduling model and proposed the a HDPSO algorithm solved; Finally, through the simulation experiment The rationality of the model and the effectiveness of the algorithm. Finally, the full text of the summary and prospect research direction of the aluminum industry production scheduling problem the next step in its scheduling model and algorithm research focus.

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CLC: > Industrial Technology > Metallurgical Industry > Nonferrous metal smelting > General issues > Non-ferrous metallurgy plants
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