Abstract
The building construction wastes seriously polluted the environment; building construction wastes and the recycling of green packaging materials are the important link of environment protection and sustainable development. The building construction wastes have complicated composition. Some of them can be recycled by simply sorting, but most urban building construction wastes require special separation or reprocessing. Therefore, building an efficient and practical building construction wastes multilevel utilization recycling system to resolve the recycling problems of building construction wastes is meaningful. By systematically analyzing the grading recycling system of building construction wastes, this article uses systems engineering, logistics theory, resources recycling science, management science, and other related methods and knowledge to establish a novel nonlinear programming (LP) intelligence planning analysis model for a complex reverse logistics transportation system composed of three-level recycling parts of the building construction wastes, and applies a practical example to propose the solving method of new models based on genetic algorithms and LINGO software. The presented new model and its detailed solving method can help us find the best recycling scheme from urban building construction wastes, and it has great significance for the sustainable development in building construction enterprises.
Highlights
With the development of building construction engineering, a large number of urban building construction wastes were produced
By systematically analyzing the grading recycling system of urban building construction wastes, this article uses systems engineering, logistics theory, resources recycling science, management science, and other related methods and knowledge to establish a novel nonlinear programming (LP) intelligence planning analysis model for a complex reverse logistics (RL) transportation system, and applies a practical example to propose the solving method of new models based on genetic algorithms and LINGO software
The advantages of this study include the total cost and the optimum scheme can be gotten in some assumption conditions by presented methods and detailed processing steps, which includes transporting the urban building construction wastes to the sorting center (SC) when inventory reaches the maximum, construction site (CS), SC, and landfill plant (LP) can handle the urban building construction wastes timely
Summary
With the development of building construction engineering, a large number of urban building construction wastes were produced. By systematically analyzing the grading recycling system of urban building construction wastes, this article uses systems engineering, logistics theory, resources recycling science, management science, and other related methods and knowledge to establish a novel nonlinear programming (LP) intelligence planning analysis model for a complex RL transportation system, and applies a practical example to propose the solving method of new models based on genetic algorithms and LINGO software. The Genetic algorithm is an efficient method to solve the above presented LP model about recycling logistics of urban building construction wastes.
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