4.5 Article

Modeling of Emergency Supply Scheduling Problem Based on Reliability and Its Solution Algorithm under Variable Road Network after Sudden-Onset Disasters

Journal

COMPLEXITY
Volume 2020, Issue -, Pages -

Publisher

WILEY-HINDAWI
DOI: 10.1155/2020/7501891

Keywords

-

Funding

  1. National Natural Science Fund Project of China [71401156, 71702164]
  2. Ministry of Education of Humanities and Social Science Project of China [18YJA630012]
  3. Zhejiang Provincial Natural Science Foundation of China [LY18G010001, LY20G010001]
  4. Presidential Incentive Awards in the University of North Georgia [1103, 1105]
  5. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering [2017A08, 2018A02]
  6. Contemporary Business and Trade Research Center of Zhejiang Gongshang University of China [14SMXY05YB]
  7. Center for Collaborative Innovation Studies of Modern Business of Zhejiang Gongshang University of China [14SMXY05YB]

Ask authors/readers for more resources

It is common that many roads in disaster areas are damaged and obstructed after sudden-onset disasters. The phenomenon often comes with escalated traffic deterioration that raises the time and cost of emergency supply scheduling. Fortunately, repairing road network will shorten the time of in-transit distribution. In this paper, according to the characteristics of emergency supplies distribution, an emergency supply scheduling model based on multiple warehouses and stricken locations is constructed to deal with the failure of part of road networks in the early postdisaster phase. The detailed process is as follows. When part of the road networks fail, we firstly determine whether to repair the damaged road networks, and then a model of reliable emergency supply scheduling based on bi-level programming is proposed. Subsequently, an improved artificial bee colony algorithm is presented to solve the problem mentioned above. Finally, through a case study, the effectiveness and efficiency of the proposed model and algorithm are verified.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available