尺寸
计算机科学
运筹学
启发式
数学优化
布线(电子设计自动化)
趋同(经济学)
生产(经济)
订单(交换)
空格(标点符号)
工作(物理)
数学
经济
工程类
人工智能
计算机网络
机械工程
艺术
财务
视觉艺术
宏观经济学
经济增长
操作系统
作者
Roberto Edward Cruz,André Bergsten Mendes,Laura Bahiense,Yue Wu
标识
DOI:10.1016/j.ejor.2018.11.030
摘要
The aim of this work is to present mathematical models and a heuristic solution strategy to solve the heterogeneous fleet-sizing problem of platform supply vessels (PSVs) that support the offshore oil and gas exploration and production (E&P) activities. The problem considered in this research takes into account a novel characteristic related to the berth allocation problem of the supply base, which must be considered together with the decisions of selecting the departure days and the routes. The adopted solution strategy consists of sequentially solving models that capture different aspects of the problem, by starting with models that are simpler to solve. The solution found in one step provides a lower bound to the next step. This procedure was devised in order to reduce the search space and to speed up convergence. The proposed solution strategy was applied to real instances in Brazil, which has up to 79 offshore units grouped into clusters, with fair/acceptable results. The procedure allowed for assessing the impact of the number of berths on the fleet composition.
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