开发大型能源建设项目生命周期合同实施中风险事件影响下的工期模型

Valery Bezpalov, Liudmila Goncharenko, Dmitry Fedyunin, Sergey Lochan, Svetlana Avtonomova
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引用次数: 1

摘要

近年来,根据生命周期合同实施的项目越来越普遍,以确保能源基础设施的建设和维护质量。在生命周期合同下实施的能源设施建设项目的一个关键参数是其持续时间和最后期限。因此,系统地识别、监测和综合评估影响工程设计和施工工期的风险是一项迫切的现实任务。这项工作的目的是研究各种风险对按生命周期合同条款实施的项目持续时间的影响程度。专家评估方法的使用允许识别设计和施工阶段最可能的风险,以及确定偏离基线指标的范围。利用获得的专家评价,利用蒙特卡罗统计方法建立了反映风险事件影响下设计和施工工程的范围和最可能持续时间的模型。所获得的结果允许监测并及时发现实际工作时间与生命周期合同中设定的基本截止日期之间的偏差。这将为准确应对新出现的风险提供机会,并在生命周期合同各方之间建立互利关系。
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Developing a model of work duration under the influence of risk events in the implementation of life cycle contracts for large energy construction projects
Projects implemented under life cycle contracts have become increasingly common in recent years to ensure the quality of construction and maintenance of energy infrastructure facilities. A key parameter for energy facility construction projects implemented under life cycle contracts is their duration and deadlines. Therefore, the systematic identification, monitoring, and comprehensive assessment of risks affecting the timing of work on the design and construction is an urgent practical task. The purpose of this work is to study the strength of the influence of various risks on the duration of a project implemented on the terms of a life cycle contract. The use of the expert assessment method allows for identifying the most likely risks for the design and construction phases, as well as determining the ranges of deviations from the baseline indicator. Using the obtained expert evaluations, a model reflecting the range and the most probable duration of the design and construction works under the influence of risk events was built by the Monte-Carlo statistical method. The results obtained allow monitoring and promptly detecting deviations in the actual duration of work from the basic deadlines set in the life cycle contract. This will give an opportunity to accurately respond to emerging risks and build a mutually beneficial relationship between the parties to life cycle contracts.
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CiteScore
1.00
自引率
14.30%
发文量
13
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