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A digital twins concept model for integrated maintenance: a case study for crane operation
Journal of Intelligent Manufacturing ( IF 8.3 ) Pub Date : 2020-11-07 , DOI: 10.1007/s10845-020-01689-5
Janusz Szpytko , Yorlandys Salgado Duarte

The paper presents an Integrated Maintenance Decision Making Model (IMDMM) concept for cranes under operation especially into the container type terminals. The target is to improve cranes operational efficiency through minimizing the risk of the Gantry Cranes Inefficiency (GCI) results based on the implementation of the Digital Twins concept for maintenance purposes. The proposed model makes a joint transportation process and crane maintenance scheduling, relevant to assure more robust performances in stochastic environments, as well as to assess and optimize performances at different levels, from components and transport device to production systems (container terminal). The crane operation risk is estimated with a sequential Markov chain Monte Carlo simulation model and the optimization model behind of IMDMM is supported through the Particle Swarm Optimization algorithms because the objective function a non-linear stochastics problem with bounded constrains. The developed model allows the container terminal operators (management process) to obtain a maintenance schedule that minimizes the GCI (holistic indicator), as well as establishing the desired level of risk. The paper demonstrates the effectiveness of the proposed maintenance decision making concept model for cranes under operation using data from of a real container terminal (case study).



中文翻译:

用于集成维护的数字双胞胎概念模型:起重机操作的案例研究

本文提出了一种用于起重机的集成维护决策模型(IMDMM)概念,特别是在集装箱式码头中。目标是通过最大限度地减少龙门吊效率低下(GCI)结果的风险,从而提高起重机的运行效率,该实现是出于维护目的而实施的Digital Twins概念。所提出的模型进行了联合运输过程和起重机维护调度,以确保在随机环境中具有更强大的性能,以及评估和优化从组件和运输设备到生产系统(集装箱码头)的不同级别的性能。使用目标马尔可夫链蒙特卡罗模拟模型估计起重机的运行风险,并且由于目标函数是一个有界约束的非线性随机问题,因此通过粒子群优化算法支持了IMDMM背后的优化模型。开发的模型允许集装箱码头操作员(管理过程)获得将GCI(整体指标)降至最低的维护计划,并确定所需的风险水平。本文使用实际集装箱码头的数据(案例研究)论证了所提出的起重机维修决策概念模型的有效性。开发的模型允许集装箱码头操作员(管理过程)获得将GCI(整体指标)降至最低的维护计划,并确定所需的风险水平。本文使用真实集装箱码头的数据(案例研究)论证了所建议的维修起重机概念决策模型的有效性。开发的模型允许集装箱码头操作员(管理过程)获得最小化GCI(整体指标)的维护计划,并确定所需的风险水平。本文使用实际集装箱码头的数据(案例研究)论证了所建议的维修起重机概念决策模型的有效性。

更新日期:2020-11-09
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