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Robust Optimization of Municipal Solid Waste Collection and Transportation with Uncertain Waste Output: A Case Study

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Journal of Systems Science and Systems Engineering 2022年第2期31卷 204-225页

作者： Sicheng Zhang Jianwen Zhang Zhiwei Zhao Chunlin Xin School of Economics and Management Beijing University of Chemical TechnologyBeijing 100029China School of Mechanical Engineering Beijing University of Chemical TechnologyBeijing 100029China

Garbage collection is an important issue in urban environmental *** the increased awareness of urban residents regarding safety,environmental protection,and health in recent years,it is necessary to logically organize municipal solid waste collection and transportation routes while also considering economic and social *** article focuses on the optimization of the waste transportation routes of garbage *** the objective of minimizing transportation costs and maximizing resident satisfaction,we establish a robust optimization model for the multi-trip collection and transportation of municipal solid waste in an uncertain *** satisfaction is defined as the penalty cost against a time window *** Bertsimas robust optimization method is applied to characterize the uncertainty,and the decision-making scheme of the receiving route is used to adapt to waste volume *** conduct a case study based on real-world data for municipal solid waste collection and transportation in the Dongcheng District of Beijing,*** solution is validated using the CPLEX program,and the validity of the model is *** addition,a sensitivity analysis of related parameters is conducted to study the impacts of variations in work hour limits and time windows on the total cost and service levels,as well as their relationships with the level of *** could help decision-makers make reasonable choices based on actual conditions and to balance reductions in total cost with service level improvements.

关键词： Robustness and sensitivity analysis municipal solid waste vehicle routing problem garbage collection and transportation under uncertainty resident satisfaction

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