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Development of ship maintenance performance measurement framework to assess the decision making process to optimise in ship maintenance planning

机译:开发船舶维护性能测量框架,以评估决策过程,优化船舶维护计划

摘要

Effective maintenance planning is essential and important in any organisation that is responsible for procuring and managing complex assets. In the marine shipping industry maintenance planning is very significant due to its complexity and the obligations on shipping organisations to comply with certain regulations and requirements. Moreover, improper planning can reduce the ship's availability, which may in turn, be reflected in the revenue of the company. Another issue that requires attention in this field is the cost of maintenance, since improper or inadequate planning could result in breakdowns that could increase the cost of maintenance.This research aims to identify the key factors that affect ship maintenance planning and to provide a framework that can help the decision maker to identify and choose optimum decisions regarding ship maintenance. The research is divided into four stages in order to achieve its objectives and to address the research problem.The first stage is the review of the literature to identify the need for maintenance and to select the key factors that affect maintenance planning. The findings indicate that: maintenance scheduling, selection of maintenance strategy, ship construction, crew compensation, and shipyard selection are the most important factors.The second stage is to evaluate maintenance performance measurements for the marine shipping industry by conducting case study and interviews with professionals involved in the mercantile industry. Semi-structured interviews were conducted with six senior staff experts from three different organisations. The results show that: dry docking scheduling, maintenance costs and budgets, customer satisfaction, employees' satisfaction, classification requirements, and the ship's maintenance requirements are the main factors that have great influence on maintenance planning.The third stage is to develop new methodology to measure the maintenance performance in the marine shipping organisation which is the ship maintenance performance measurement (SMPM) framework. The developed method was validated to assist managers in making the right decisions in ship maintenance planning. The framework was developed based on ten thematic criteria that can be used as indicators for potential organisation growth, i.e., maintenance strategy; dry docking scheduling; budget and costs; the ship's equipment; customer satisfaction; employees; health, safety and environment; learning and growth; classification requirements; and the ship's operation and demands requirements. Interviews were conducted with key personnel from the Kuwait Oil Tanker Company (KOTC) to validate the framework.The fourth stage demonstrates that an optimised schedule for the dry docking of ships for routine maintenance has been constructed. This is accomplished on the basis of one measured criterion, dry docking scheduling, by using an integer programming model to maximise the ship's availability within the company fleet. The model is defined by three constraints: the maintenance window, maintenance completion, and the ship's limit. The model was validated using data from KOTC, and the results depict an optimum solution for maintenance scheduling, maximising the ship's availability to 100% and not less than 92%.
机译:在负责采购和管理复杂资产的任何组织中,有效的维护计划都是至关重要的。在海运业中,维护计划非常重要,这是因为维护计划的复杂性以及运输组织必须遵守某些法规和要求的义务。而且,不适当的计划会降低船的可用性,这又可能会反映在公司的收入中。该领域中另一个需要关注的问题是维护成本,因为规划不当或不充分会导致故障,从而增加维护成本。本研究旨在确定影响船舶维护计划的关键因素,并提供一个框架来可以帮助决策者确定和选择有关船舶维护的最佳决策。为了实现其目标并解决研究问题,研究分为四个阶段。第一阶段是文献综述,以确定维护需求并选择影响维护计划的关键因素。研究结果表明:维修计划,维修策略的选择,船舶的建造,船员的报酬和船厂的选择是最重要的因素。第二阶段是通过案例研究和与专业人员的访谈来评估海上运输行业的维修绩效评估涉足商业。对来自三个不同组织的六名高级员工专家进行了半结构化访谈。结果表明:干坞调度,维修成本和预算,客户满意度,员工满意度,入级要求和船舶维修要求是影响维修计划的主要因素。第三阶段是开发新的方法来进行维修。在海上运输组织中衡量维护绩效,这是船舶维护绩效评估(SMPM)框架。经过验证的开发方法可帮助管理人员在船舶维护计划中做出正确的决策。该框架是根据十项主题标准制定的,可以用作潜在组织增长的指标,即维护策略;干坞调度;预算和费用;船舶的设备;客户满意度;雇员;健康,安全和环境;学习与成长;分类要求;以及船舶的运行和需求要求。与科威特油轮公司​​(KOTC)的主要人员进行了访谈,以验证该框架。第四阶段表明,已经为日常维护的船舶干船坞制定了优化时间表。这是根据一种测得的标准,即干船坞调度,通过使用整数编程模型来最大化公司船队中船舶的可用性而完成的。该模型由三个约束条件定义:维护窗口,维护完成和船舶极限。该模型已使用KOTC的数据进行了验证,结果描述了一种最佳的维修计划解决方案,可将船舶的可用性最大化至100%且不少于92%。

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