RFID data-driven predictive modelling for resource allocation on a wall manufacturing line for energy-efficient homes

ACQBUILT, Inc.采用先进的技术和以制造为基础的方法，从设计和预制到交付和现场组装进行住宅建筑操作。合作伙伴也是设计和建造节能住宅的领导者。为了提高其节能家居产品线墙板的r值，他们正在考虑将挤压聚苯乙烯刚性和玻璃纤维电池绝缘材料结合到墙壁上。然而，这种节能设计在制造过程中需要额外的时间和精力。这种工程设计的调整改变了制造过程，降低了墙体生产线的生产率，并且需要在劳动力资源分配方面进行调整，以平衡工作流程。此外，合作伙伴计划生产的节能墙板的结构设计种类越来越多，这也带来了挑战，因为数据处理需要以一种完整的方式来规划，以提供不同产品在时间要求上的差异。因此，本研究的目的是找到这些问题的最佳解决方案，建立一种利用工厂现有射频识别（RFID）基础设施收集的实时生产数据来分配资源的方法。潜在的目标是开发一种优化的预测算法，在此基础上管理墙壁生产线上的资源分配，提高节能住宅预制过程的生产率。虽然在目前的实践中，包括acqbuilt在内的大多数使用RFID的企业将其部署限制在跟踪其控制范围内的生产项目，但使用RFID可以获得进一步的好处。在此项目成果的基础上，加拿大建筑制造业可以从应用RFID进行资源分配中受益，从而提高生产效率。考虑到工业化建筑活动是在室内环境中进行的这一事实，这种节能住宅模式的单位生产所产生的排放量也可以通过减少生产周期时间来减少。

Using advanced technologies and a manufacturing-based approach, ACQBUILT, Inc. carries out homebuildingoperations from design and prefabrication to delivery and onsite assembly. The partner is also a leader indesigning and building energy-efficient homes. To improve the R-value of the wall panels for theirenergy-efficient home product line, they are looking at incorporating both extruded polystyrene rigid andfibreglass batt insulations to the wall. This energy-efficient design, however, requires additional time and effortduring manufacturing. This adjustment of the engineering design alters the process of manufacturing, decreasesthe productivity of the wall production line, and necessitates adjustments in terms of labour resource allocationin order to balance the workflow. In addition, the increased variety of structural design of the energy-efficientwall panels that the partner plans to produce creates a challenge, as data processing will need to be planned in amanner which provides a complete picture of the differences in time requirements for different products. Theaim of this research, then, is to find an optimal solution to these problems, establishing an approach to resourceallocation leveraging real-time production data collected using existing radio-frequency identification (RFID)infrastructure in the plant. The underlying objective is to develop an optimal predictive algorithm based uponwhich to manage resource allocation on the wall production line and improve the productivity of theprefabrication process for energy-efficient homes. While in current practice most enterprises, includingACQBUILT, that use RFID limit its deployment to tracking produced items within their control, furtherbenefits can be derived from the use of RFID. Building on the results of this project, the Canadian constructionmanufacturing sector can benefit from the application of RFID for resource allocation, thereby improvingproduction efficiency. The emissions incurred per unit produced of this type of energy-efficient home modelcan also be reduced by decreasing production cycle time, given the fact that industrialized constructionactivities are carried out in an indoor environment.