Modeling and optimization of ocean-going unloading problem with stochastic arrival time

Shengkai Jin; Shiji Song; Yuli Zhang; Cheng Wu

doi:10.1109/ICCA.2010.5524346

Modeling and optimization of ocean-going unloading problem with stochastic arrival time

Shengkai Jin^*, Shiji Song, Yuli Zhang, Cheng Wu

^*Corresponding author for this work

Tsinghua University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

One of the important issues which steel enterprises focus on is to reduce the cost occurred in unloading process of ocean-going ship, based on the overseas procurement background of a famous steel enterprise, the unloading problem with random arrival times is investigated in this paper, the cost construction of unloading problem is analyzed and its mathematical models for deterministic and stochastic arrival time are established, respectively. Moreover, Lagrangian relaxation algorithm and genetic algorithm combined with sub-gradient is designed to solve this problem. Finally, some examples are simulated and illustrated to validate the effectiveness and accuracy of the proposed algorithm.

Original language	English
Title of host publication	2010 8th IEEE International Conference on Control and Automation, ICCA 2010
Pages	1789-1795
Number of pages	7
DOIs	https://doi.org/10.1109/ICCA.2010.5524346
Publication status	Published - 2010
Externally published	Yes
Event	2010 8th IEEE International Conference on Control and Automation, ICCA 2010 - Xiamen, China Duration: 9 Jun 2010 → 11 Jun 2010

Publication series

Name	2010 8th IEEE International Conference on Control and Automation, ICCA 2010

Conference

Conference	2010 8th IEEE International Conference on Control and Automation, ICCA 2010
Country/Territory	China
City	Xiamen
Period	9/06/10 → 11/06/10

Access to Document

10.1109/ICCA.2010.5524346

Cite this

@inproceedings{60d0a32690fa4b44ba7bfb857fb86c5f,

title = "Modeling and optimization of ocean-going unloading problem with stochastic arrival time",

abstract = "One of the important issues which steel enterprises focus on is to reduce the cost occurred in unloading process of ocean-going ship, based on the overseas procurement background of a famous steel enterprise, the unloading problem with random arrival times is investigated in this paper, the cost construction of unloading problem is analyzed and its mathematical models for deterministic and stochastic arrival time are established, respectively. Moreover, Lagrangian relaxation algorithm and genetic algorithm combined with sub-gradient is designed to solve this problem. Finally, some examples are simulated and illustrated to validate the effectiveness and accuracy of the proposed algorithm.",

author = "Shengkai Jin and Shiji Song and Yuli Zhang and Cheng Wu",

year = "2010",

doi = "10.1109/ICCA.2010.5524346",

language = "English",

isbn = "9781424451951",

series = "2010 8th IEEE International Conference on Control and Automation, ICCA 2010",

pages = "1789--1795",

booktitle = "2010 8th IEEE International Conference on Control and Automation, ICCA 2010",

note = "2010 8th IEEE International Conference on Control and Automation, ICCA 2010 ; Conference date: 09-06-2010 Through 11-06-2010",

}

Jin, S, Song, S, Zhang, Y & Wu, C 2010, Modeling and optimization of ocean-going unloading problem with stochastic arrival time. in 2010 8th IEEE International Conference on Control and Automation, ICCA 2010., 5524346, 2010 8th IEEE International Conference on Control and Automation, ICCA 2010, pp. 1789-1795, 2010 8th IEEE International Conference on Control and Automation, ICCA 2010, Xiamen, China, 9/06/10. https://doi.org/10.1109/ICCA.2010.5524346

Modeling and optimization of ocean-going unloading problem with stochastic arrival time. / Jin, Shengkai; Song, Shiji; Zhang, Yuli et al.
2010 8th IEEE International Conference on Control and Automation, ICCA 2010. 2010. p. 1789-1795 5524346 (2010 8th IEEE International Conference on Control and Automation, ICCA 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling and optimization of ocean-going unloading problem with stochastic arrival time

AU - Jin, Shengkai

AU - Song, Shiji

AU - Zhang, Yuli

AU - Wu, Cheng

PY - 2010

Y1 - 2010

N2 - One of the important issues which steel enterprises focus on is to reduce the cost occurred in unloading process of ocean-going ship, based on the overseas procurement background of a famous steel enterprise, the unloading problem with random arrival times is investigated in this paper, the cost construction of unloading problem is analyzed and its mathematical models for deterministic and stochastic arrival time are established, respectively. Moreover, Lagrangian relaxation algorithm and genetic algorithm combined with sub-gradient is designed to solve this problem. Finally, some examples are simulated and illustrated to validate the effectiveness and accuracy of the proposed algorithm.

AB - One of the important issues which steel enterprises focus on is to reduce the cost occurred in unloading process of ocean-going ship, based on the overseas procurement background of a famous steel enterprise, the unloading problem with random arrival times is investigated in this paper, the cost construction of unloading problem is analyzed and its mathematical models for deterministic and stochastic arrival time are established, respectively. Moreover, Lagrangian relaxation algorithm and genetic algorithm combined with sub-gradient is designed to solve this problem. Finally, some examples are simulated and illustrated to validate the effectiveness and accuracy of the proposed algorithm.

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U2 - 10.1109/ICCA.2010.5524346

DO - 10.1109/ICCA.2010.5524346

M3 - Conference contribution

AN - SCOPUS:77957877491

SN - 9781424451951

T3 - 2010 8th IEEE International Conference on Control and Automation, ICCA 2010

SP - 1789

EP - 1795

BT - 2010 8th IEEE International Conference on Control and Automation, ICCA 2010

T2 - 2010 8th IEEE International Conference on Control and Automation, ICCA 2010

Y2 - 9 June 2010 through 11 June 2010

ER -

Modeling and optimization of ocean-going unloading problem with stochastic arrival time

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