返回
An optimization-based decision support system for ship scheduling
DOI:10.1016/S0360-8352(97)00223-4.png)
摘要
En 中文
The bulk carriers in the world merchant fleet typically operate full between a loading and discharging per?, then run empty until they reach the next loading port. The shipping rates of bulk trades are set on supply/demand bases and fluctuate considerably. Thus the proper scheduling of ships in bulk trade has the great potential of improving the owner's profit and economic performance of shipping. This paper considers an optimization-based Decision Support System far ship scheduling. The typical optimization models for scheduling the ships are briefly reviewed and classified by the underlying idea. Then a prototype MoDiSS(Model-based DSS in Ship Scheduling) which is based on a set-packing model has been developed an PC base with proper GUI. The performance of the system has been tested and examined using Various ship scheduling scenarios and thereby the effectiveness of the system is validated satisfactorily. (C) 1997 Elsevier Science Ltd.
Keyword:
DSS
ship scheduling
model-based DSS
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.5
论文数:
1.0W
被引数:
3.8W
机构
暂无机构信息
引用论文
The nose has it: Opportunities and challenges for intranasal drug administration for neurologic conditions including seizure clusters鼻子有它: 包括癫痫发作群在内的神经系统疾病的鼻内给药的机遇和挑战
没有更多内容

