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

RFID 数据驱动的预测模型，用于节能住宅墙壁生产线上的资源分配

• 批准号: 520357-2017
• 负责人: Gul, Mustafa
• 金额: $ 1.82万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640548
• 关键词: RFID; data; driven; predictive; modelling

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.

ACQBULT，Inc.采用先进的技术和基于制造的方法。从设计和预制到交付和现场组装，该合作伙伴也是设计和建造节能住宅的领导者。为了提高他们节能家居产品线的墙板的R值，他们正在考虑将挤塑聚苯乙烯刚性和玻璃纤维板绝缘材料结合到墙上。然而，这种节能设计在制造过程中需要额外的时间和精力。工程设计的这种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能够全面了解不同产品所需时间差异的方式进行规划。本研究的目的，然后，是找到一个最佳的解决方案，这些问题，建立一种方法，资源分配利用实时生产数据收集使用现有的射频识别（RFID）的基础设施在工厂。其基本目标是开发一种最佳的预测算法，基于该算法来管理墙体生产线上的资源分配，并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ACQBULT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，但可以从RFID的使用中获得进一步的好处。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。由于工业化的建筑活动是在室内环境中进行的，因此，这种节能住宅模式每单位的排放量也可以通过减少生产周期时间来减少。