论文标题
在行业方案中解决维护和计划问题的混合主动方法4.0
Hybrid proactive approach for solving maintenance and planning problems in the scenario of Industry 4.0
论文作者
论文摘要
在工业4.0的概念背后，有许多原则和思想。其中之一是整合不同决策水平的问题。在这项工作中，我们将维护与计划问题相结合，旨在充分利用生产能力，从而立即向客户提供产品并避免失败。我们提出了一种混合方法，用于解决与批号和调度问题集成的维护问题。该方法基于在平行机器环境中考虑预防性，预测性和纠正性维护的鲁棒性和simheuristic的概念。进行仿真以考虑机器故障。结果表明，随着我们在批号问题上增加鲁棒性参数时，我们获得了与批次大小问题的初始目标函数相关的较低偏差，并且发生故障后的差异较低。该方法使您可以在所有分析的方案中找到有关失败行为的历史数据的平均预期结果。
Behind the concept of Industry 4.0, there are a number of principles and ideas; one of them is the integration of problems of different decision levels. In this work, we integrate maintenance with planning problems, aiming to take full advantage of the production capacity providing immediate delivery of products to customers and avoiding failures. We propose a hybrid approach for solving a maintenance problem integrated with the lot-sizing and scheduling problems. The approach is based on the concepts of robustness and simheuristics, considering preventive, predictive and corrective maintenances in a parallel machine environment. Simulations are performed to consider machine failures. Results indicate that as we increase the robustness parameter at the lot-sizing problem, we obtain lower deviations related to the initial objective function of the lot-sizing problem and lower probabilities of infeasibility after the occurrence of failures. The approach makes it possible to find an average expected result for each of the scenarios analyzed taking into account historical data on the behavior of the failures.
