원문정보
초록
영어
In order to solve closed-loop logistics network design problem in the low-carbon economic environment, in this paper, queuing theory is used to calculate the amount of storage of reverse logistics nodes and interval number is used to describe the uncertainty of the logistics network, a bi-objectives logistics network design model which minimum the total cost and carbon emissions of logistics network is established, the solving idea based on interval-number multiple attribute decision theory is proposed, solving algorithm based on genetic algorithm is designed. The feasibility of the model and solution algorithm is verified through case analysis; this method can meet the low-carbon closed-loop logistics network design requirements under uncertainty conditions.
목차
1. Introduction
2. Literature review
3. Problem description and proposed model
3.1. Problem description
3.2 Assumptions
3.3 Sets and indices
3.4 Parameters
3.5 Decision variable
3.6 Network design model based on interval number
4. Queuing analysis of logistics nodes
5. Proposed solution approach
5.1 Solving method
5.2 Solving algorithm
6. Case study
7. Conclusions
Acknowledgments
References