Multi-objective Model of Distribution Route Problem for Fresh Electricity Commerce under Uncertain Demand

Authors

Zhang Qian, 1. Beijing Technology and Business University, Beijing 100048, China; ;
Xiong Ying, 2. State Grid Beijing Logistic Supply Company,State Grid Beijing Electric Power Company,Beijing 100054, China; ;
Mingke He, 1. Beijing Technology and Business University, Beijing 100048, China; ;3. Beijing Wuzi University, Beijing 101149, China;
Zhang Hao, 1. Beijing Technology and Business University, Beijing 100048, China; ;

Abstract

Abstract: Considering the distribution cost, freshness of fresh products, carbon emissions and customer demand uncertainty and other factors, a multi-objective optimization model of distribution path planning is established. Based on the robust optimization method for dealing with uncertain problems, the multi-objective model of distribution routing planning is optimized for the situation that the discrete demand belongs to the uncertainty set of ellipsoid. The model is solved by using the main target method and fruit fly algorithm. It is proved that the model and algorithm are robust and can effectively suppress the disturbance caused by the uncertainty of the demand. This paper provides an important theoretical basis and practical ideas for improving the distribution route planning model and distribution network optimization method.

Recommended Citation

Qian, Zhang; Ying, Xiong; He, Mingke; and Hao, Zhang (2019) "Multi-objective Model of Distribution Route Problem for Fresh Electricity Commerce under Uncertain Demand," Journal of System Simulation: Vol. 31: Iss. 8, Article 12.
DOI: 10.16182/j.issn1004731x.joss.17-0376
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss8/12

First Page

1582

Revised Date

2017-11-14

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0376

Last Page

1590

CLC

TP391.9

Recommended Citation

Zhang Qian, Xiong Ying, He Mingke, Zhang Hao. Multi-objective Model of Distribution Route Problem for Fresh Electricity Commerce under Uncertain Demand[J]. Journal of System Simulation, 2019, 31(8): 1582-1590.

DOI

10.16182/j.issn1004731x.joss.17-0376