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The Optimization Model for allocating Cross-Utilization personnel on Offshore Platform of Petroleum Company in Thailand

机译:泰国石油公司海上平台交叉使用人员分配的优化模型

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In this paper,we concentrate on optimizing the yearly scheduling of maintenance and inspection on offshore platform for a major Petroleum company in Thailand. Efficient equipment and offshore personnel are the most significant factors in providing more efficient products and services. The optimal resource allocation problems at Quarter Platform (QP) and living barge with qualified personnel who work on specific jobs are formulated via a Mixed Integer Linear Programming (MILP) model. The model aims to balance and minimize the number of personnel working offshore while maintain all work requirements. We use the open source optimization software GLPK using branch and cut method to determine the optimal resource allocation. Due to the combinatorial nature of this problem,the large number of iterations is needed. We then determine the nearly optimal solution using the mipgap. It has been proven to be very helpful and considerably faster than the original MILP model. Apply this method has proven to be a sufficient for solving the optimization of the multi-skilled assignment problem in the operation field of Gas and Oil Company.
机译:在本文中,我们专注于优化泰国一家大型石油公司的海上平台年度维护和检查计划。高效的设备和海上人员是提供更高效的产品和服务的最重要因素。通过混合整数线性规划(MILP)模型制定了四分之一平台(QP)和有资格从事特定工作的人员居住的驳船的最佳资源分配问题。该模型旨在平衡并最大程度地减少在海上工作的人员数量,同时保持所有工作要求。我们使用采用分支剪切法的开源优化软件GLPK来确定最佳资源分配。由于此问题的组合性质,需要大量的迭代。然后,我们使用mipgap确定几乎最佳的解决方案。它已被证明是非常有用的,并且比原始的MILP模型要快得多。应用该方法已被证明足以解决油气公司运营领域中多技能分配问题的优化问题。

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