Robust Fleet Sizing and Deployment for Industrial and Independent Bulk Ocean Shipping Companies

被引:46
作者
Alvarez, J. Fernando [1 ]
Tsilingiris, Panagiotis [2 ]
Engebrethsen, Erna S. [3 ]
Kakalis, Nikolaos M. P. [2 ]
机构
[1] Det Norske Veritas Res & Innovat, N-1322 Hovik, Norway
[2] Det Norske Veritas Res & Innovat, Piraeus 18545, Greece
[3] Aker Solut AS, N-1364 Fornebu, Norway
关键词
Robust integer programming; fleet sizing; fleet deployment; PRICE;
D O I
10.3138/infor.49.2.093
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fleet sizing and deployment is a central decision problem of bulk shipping organizations. However, business and shipping market cycles induce significant asset price and transport demand volatility, making strategic fleet sizing extremely challenging. We propose a mixed integer programming (MIP) model of the multi-period fleet sizing and deployment problem. We extend the basic MIP model into a robust optimization model in order to account for the inherent uncertainty of the problem. Our approach can assist companies with varying degrees of risk tolerance in deciding the sale, purchase, chartering, lay-up, and scrapping of ships, as well as the deployment of the active ships to contracts and geographic markets. A realistic case study is presented.
引用
收藏
页码:93 / 107
页数:15
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