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Integrated production planning and control system for a panelized home prefabrication facility using simulation and RFID

机译:集成式生产计划和控制系统,用于使用模拟和RFID的面板化家庭预制设备

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摘要

The construction industry is adopting off-site construction for its superior quality, short cycle time, and minimal environmental impact. Among the different off-site construction methods, panelized construction follows a manufacturing approach where houses are built in smaller panels in an assembly line. Due to the complex and unique nature of the home building process, existing manufacturing concepts such as automated production planning and control system are not applicable to the panelized home production facility. This paper utilizes radio frequency identification (RFID) technology, data mining, and simulation-based optimization to develop a production planning and control system for a panelized home production facility. The RFID system is used to automatically collect the production data; however, the RFID data in this study contains considerable noise. Thus, it is crucial to extract the relevant data from the raw data. A RANSAC model is developed for this purpose to automatically clean the RFID data and then use it to build the simulation model, which is then integrated with an optimization algorithm to generate the production schedule and real-time performance monitoring. The proposed framework cleans the noisy RFID data to extract records that represent a steady flow of assembly line. These clean records are then used to build PDFs that are required to develop discrete event simulation model that can help managers to capture an almost real-time snapshot of the production of the assembly line as well as automatically optimize the production schedule. The proposed system is implemented and validated in a panelized wall production facility operated by ACQBUILT Inc., a prefabricated home builder in Edmonton, Canada.
机译:建筑行业以其卓越的质量,较短的周期时间和最小的环境影响而采用异地施工。在不同的异地施工方法中,面板化施工遵循一种制造方法,即在装配线的较小面板中建造房屋。由于房屋建筑过程的复杂性和独特性,现有的制造概念(例如自动化生产计划和控制系统)不适用于面板式房屋生产设施。本文利用射频识别(RFID)技术,数据挖掘和基于仿真的优化为面板式家庭生产设施开发生产计划和控制系统。 RFID系统用于自动收集生产数据;但是,这项研究中的RFID数据包含大量噪声。因此,从原始数据中提取相关数据至关重要。为此,开发了一个RANSAC模型来自动清除RFID数据,然后使用它来构建仿真模型,然后将其与优化算法集成在一起以生成生产计划并进行实时性能监控。拟议的框架清除了嘈杂的RFID数据,以提取代表稳定生产线流水线的记录。然后,这些干净的记录用于构建开发离散事件仿真模型所需的PDF,该模型可以帮助管理人员捕获装配线生产的几乎实时快照并自动优化生产进度。拟议的系统在由加拿大埃德蒙顿的预制房屋建筑商ACQBUILT Inc.运营的面板墙生产设施中实施和验证。

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