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DECISION SUPPORT CONCEPT FOR MANAGING THE MAINTENANCE OF CITY PARKING FACILITIES

机译:决策支持概念,用于管理城市停车设施

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摘要

In this paper, we study the maintenance of city parking facilities (CPFs), specifically on modeling and support for decision-making related to planning CPF maintenance. Managing the maintenance of CPFs is complicated because it is a multi-disciplinary problem involving many participants, huge quantities of information, limited budgets, and conflicts of goals and criteria. These facts indicate that the decision-making processes in managing the maintenance of CPFs are ill-defined problems. To help maintenance managers cope with this complexity, we propose an approach that combines analytic hierarchy processing (AHP) and PROMETHEE multicriteria methods, and apply this approach to a priority-setting problem. After assessing the conditions of existing CPFs and the planned states of those CPFs, our approach produced a goal tree and criteria, and defined possible actions for the parking facilities. Representatives of stakeholders provided criteria weights by applying the AHP method. Using PROMETHEE II, we ranked the priorities, and the PROMETHEE V method allowed us to define the implementation phases of maintenance, producing the final maintenance plan. We validated our concept in the city of Split.
机译:在本文中,我们研究了城市停车设施(CPF)的维护,特别是在与规划CPF维护相关的决策建模和支持方面。 CPF的维护管理非常复杂,因为它是一个涉及多个参与者,大量信息,预算有限以及目标和标准冲突的多学科问题。这些事实表明,管理中央公积金维护的决策过程是不确定的问题。为了帮助维护经理应对这种复杂性,我们提出了一种将层次分析层次分析(AHP)和PROMETHEE多准则方法相结合的方法,并将该方法应用于优先级设置问题。在评估了现有中央公积金的条件和这些中央公积金的计划状态之后,我们的方法产生了目标树和标准,并确定了停车设施可能采取的行动。利益相关者代表通过运用AHP方法提供了标准权重。使用PROMETHEE II,我们对优先级进行了排名,而PROMETHEE V方法使我们能够定义维护的实施阶段,并制定最终的维护计划。我们在斯普利特市验证了我们的概念。

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