Research on Location-Routing Problem of Maritime Emergency Materials Distribution Based on Bi-Level Programming

被引:21
作者
Peng, Zhongxiu [1 ]
Wang, Cong [1 ,2 ]
Xu, Wenqing [1 ]
Zhang, Jinsong [1 ]
机构
[1] Dalian Maritime Univ, Sch Maritime Econ & Management, Dalian 116026, Peoples R China
[2] Southeast Univ, Sch Econ & Management, Nanjing 211189, Peoples R China
关键词
emergency logistics; location-routing problem; bi-level programming; multi-agent decision; ant colony-tabu search algorithm; OPTIMIZATION MODEL; TRAVEL-TIME; LOGISTICS; RELIEF; DEMAND; UNCERTAINTY;
D O I
10.3390/math10081243
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
To solve the location-routing problem of maritime emergency materials distribution (MEMD-LRP) of multi-agent joint decision, a bi-level programming model of MEMD-LRP is constructed. The model is established on the premise of considering the rescue time window and emergency materials distribution priority, aiming at the strong regional characteristics of maritime accidents, strong timeliness of maritime rescue, great difficulty of rescue, high cost of rescue, and so on. From the point of view of the emergency management department, the upper level makes the location decision to minimize the construction cost of the shore-based emergency materials reserves and the time satisfaction loss cost of the accident point. From the point of view of the commercial rescue unit, the lower level plans the routes by minimizing the cost of emergency material distribution, ship transportation, ship dispatch, and time penalty. A hybrid algorithm of the ant colony and tabu search is designed to solve the model, and an example is designed and analyzed based on the case of the Bohai Sea to verify the effectiveness of the model and algorithm. Modeling and algorithm design based on bi-level programming can help decision-makers at different levels in maritime emergency logistics systems to make more scientific and reasonable decisions to improve the service capability of the maritime emergency logistics system.
引用
收藏
页数:23
相关论文
共 50 条
[41]   A Chance Constrained Goal Programming Model for Location-Routing Problem Under Uncertainty [J].
Liu, Yang ;
Yuan, Yun ;
Chen, Yi ;
Ruan, Lingxiao ;
Pang, Hao .
LISS 2013, 2015, :105-116
[42]   A Bi-Objective Capacitated Location-Routing Problem for Multiple Perishable Commodities [J].
Li, Pu ;
Lan, Hongjie ;
Saldanha-Da-Gama, Francisco .
IEEE ACCESS, 2019, 7 :136729-136742
[43]   Revised solution technique for a bi-level location-inventory-routing problem under uncertainty of demand and perishability of products [J].
Partovi, Fezzeh ;
Seifbarghy, Mehdi ;
Esmaeili, Maryam .
APPLIED SOFT COMPUTING, 2023, 133
[44]   Solving Bi-level Programming Problem Based on Electromagnetism-Like Algorithm [J].
Yang Xiaoling ;
Qiu Dishan ;
Shen Jianwei .
PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON COMMUNICATION, ELECTRONICS AND AUTOMATION ENGINEERING, 2013, 181 :923-927
[45]   Tolling of Expressway Transportation Networks for Hazardous Materials Based on Bi-level Programming [J].
Feng X. ;
Zhang L. .
Tongji Daxue Xuebao/Journal of Tongji University, 2020, 48 (05) :710-715and750
[46]   Location-Routing Problem under Emergency with Simultaneous Relief Delivery and Victim Evacuation [J].
Du, Ruoqi ;
Zhou, Hong .
PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON COMPUTER MODELING, SIMULATION AND ALGORITHM (CMSA 2018), 2018, 151 :236-239
[47]   The Study on Supply Chain Distribution Optimization Based on Bi-level Programming Model [J].
Yang, Jianhua ;
Hao, Zhangang .
2009 INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT, INNOVATION MANAGEMENT AND INDUSTRIAL ENGINEERING, VOL 3, PROCEEDINGS, 2009, :7-10
[48]   A bi-level programming problem of medicine procurement and production optimization [J].
Fan, Wenjuan ;
Zhang, Jingwei ;
Shao, Kaining ;
Lan, Shaowen ;
Zhu, Shuwan .
JOURNAL OF GLOBAL OPTIMIZATION, 2025,
[49]   Electric Vehicle Charging Stations Layout Research Based on Bi-level Programming [J].
Zhang, Gang ;
Yang, Hongming ;
Dong, Jinjun .
2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, :609-614
[50]   Bi-level programming model and KKT penalty function solution approach for reliable hub location problem [J].
Korani, Ehsan ;
Eydi, Alireza .
EXPERT SYSTEMS WITH APPLICATIONS, 2021, 184