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A Lagrangean decomposition approach for a novel two-echelon node-based location-routing problem in an offshore oil and gas supply chain

机译:拉格朗日分解方法,用于解决海上油气供应链中基于两层节点的新型路由问题

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摘要

In this paper, a new node-based mixed-integer non-linear programming (MINLP) model in an offshore oil and gas industry is proposed. The model, which is a supply vessel planning (SVP) one, is developed to a two-echelon fleet composition mix periodic location-routing problem with time windows (2E-FCMPLRPTW). In the first echelon, the number and type of vehicles, routes, schedules and the best allocation of suppliers are determined. In the second echelon, the number and type of supply vessels, related voyages and schedules are calculated. A Lagrangean decomposition method, which is a particular case of Lagrangean relaxation, is presented to solve the problem.
机译:本文提出了一种新的基于节点的混合整数非线性规划(MINLP)模型,用于海上油气工业。该模型是供应船计划(SVP)的模型,被开发为具有时间窗口(2E-FCMPLRPTW)的两级舰队组成混合周期性位置路由问题。在第一梯队中,确定车辆的数量和类型,路线,时间表和最佳供应商分配。在第二梯队中,将计算补给船的数量和类型,相关的航次和时间表。为了解决该问题,提出了拉格朗日分解法,这是拉格朗日弛豫的一个特例。

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