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Supply vessel planning under cost, environment and robustness considerations

供应容器在费用,环境和坚韧性考虑 <sup></sup> 下面计划

作     者:Norlund, Ellen Karoline Gribkovskaia, Irina Laporte, Gilbert 

作者机构:Molde Univ Coll N-6402 Molde Norway Statoil ASA N-5254 Sandsli Norway HEC Montreal Montreal PQ H3T 2A7 Canada CIRRELT Montreal PQ H3T 2A7 Canada 

出 版 物:《OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE》 (国际管理科学杂志)

年 卷 期:2015年第57卷第PartB期

页      面:271-281页

核心收录:

学科分类:12[管理学] 120202[管理学-企业管理(含:财务管理、市场营销、人力资源管理)] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基  金:Canadian Natural Sciences and Engineering Research Council [39682-10] 

主  题:Green maritime logistics Supply vessel operations Ship routing and scheduling Emissions Speed optimization Weather uncertainty Robustness 

摘      要:Offshore oil and gas installations need reliable cargo deliveries. The vessels supplying these installations on a periodic basis are expensive and constitute a source of emissions of greenhouse gases. Incorporating vessel speed optimization into the supply vessel planning process may significantly reduce fuel consumption and hence emissions. In addition, speed optimization may yield cost reductions if the number of vessels used does not increase. A main uncertainty factor, especially in the winter season, is the weather conditions which impact sailing and service times. Cost minimization and the application of speed optimization strategies may have implications on the robustness of weekly supply vessel schedules since idle times in the schedules are reduced. We develop a simulation-optimization based methodology that considers costs, emissions and robustness in the generation of weekly supply vessel schedules. Results of analyses conducted on real instances show that robustness requirements may yield both increased emissions and costs in the winter season. However, depending on instance characteristics, different degrees of robustness can be incorporated with both costs and emissions reductions through speed optimization. (C) 2015 Elsevier Ltd. All rights reserved.

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