改善物流调度和运营,以支持海上风电建设阶段

IF 1.9 4区 管理学 Q3 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Naval Research Logistics Pub Date : 2019-01-01 DOI:10.23773/2019_8
S. Chartron
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引用次数: 2

摘要

海上风电场建设的增加和预期盈利能力的提高要求海上物流的效率更高。本研究的目的是提出调度和运营改进的物流,以支持海上风电建设。本研究对海上风电物流的科学研究进行了文献综述。在此基础上,提出了海上风电建设阶段物流的定义。可以看出,只有少数研究集中在海上风电建设阶段的物流(安装船除外)。为了帮助缩小这一差距,提出了一个模型来评估和选择海上物流分布,以支持建设阶段。仿真结果表明,物流扩散效率随季节、到岸距离和地理位置的不同而不同。适应和物流概念的组合可能是必要的,以达到最佳的成本效益。研究结果为该领域进一步的实证研究提供了重要的基础。最后,我们提出了操作改进的研究领域。
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Improving logistics scheduling and operations to support offshore wind construction phase
The increasing construction of offshore wind farms and the expected improved profitability call for a better efficiency in offshore logistics. The purpose of this study is to propose scheduling and operations improvements for logistics to support offshore wind construction. The study conducts a literature review of scientific studies on the offshore wind logistics. Based on this review, a definition of offshore wind logistics during construction phase is proposed. It can be seen that only a few studies have focused on offshore wind logistics (except installation vessel) duringwind turbine construction phase. To help closing this gap, a model is proposed to evaluate and select offshore logistics spread in order to support construction phase. Results on simulations show that logistics spread efficiency varies depending on the season, distance to shore and geographical location. Adaptation and combination of logistics concepts may be necessary to achieve best cost efficiency. The results are important as a basis for further empirical studies in this area. At the end, we propose research areas for operational improvements.
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来源期刊
Naval Research Logistics
Naval Research Logistics 管理科学-运筹学与管理科学
CiteScore
4.20
自引率
4.30%
发文量
47
审稿时长
8 months
期刊介绍: Submissions that are most appropriate for NRL are papers addressing modeling and analysis of problems motivated by real-world applications; major methodological advances in operations research and applied statistics; and expository or survey pieces of lasting value. Areas represented include (but are not limited to) probability, statistics, simulation, optimization, game theory, quality, scheduling, reliability, maintenance, supply chain, decision analysis, and combat models. Special issues devoted to a single topic are published occasionally, and proposals for special issues are welcomed by the Editorial Board.
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