Simulation-based analytics for industrial construction

基于仿真的工业建筑分析

• 批准号: 492657-2015
• 负责人: Abourizk, Simaan
• 金额: $ 26.23万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=694871
• 关键词: Simulation; based; analytics; industrial; construction

The industrial construction sector in Alberta faces numerous challenges, in particular stemming from recent global pressures on resource pricing (Lewis & Jones, 2015). Under this circumstance, the sector needs to enhance its competitiveness especially through improvements related to safety, quality, and productivity, as well as resolving inefficiencies in the supply network. Industrial construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals (Manyika et al., 2011), and supporting enterprise resource planning (ERP) systems. Industrial construction companies, like most manufacturing companies, "do not make good use of all the generated and collected data to improve production system efficiency" (Dean, 2014). They struggle to manage, analyze, and transform data into useful information for improved decision making to improve their competitiveness. Our goal is to introduce a new generation of quantitatively-driven analytics systems that make use of collected data, and are dynamically supplanted with simulation models in real time to enhance the management of the construction production process. Our proposed research approach will build upon our academic strength in simulation and the knowledge of the industrial partners. Specifically, the proposed research aims to develop a simulation-based analytics for construction (SAC) framework to support a new generation of decision support systems (DSS), develop the simulation environment to deploy the framework, and demonstrate its validity through a number of implementations in the industrial sector with industrial partners, in the areas of productivity, safety and quality management, and in the analysis of the industrial construction supply chain.

阿尔伯塔的工业建筑行业面临着众多挑战，特别是最近全球资源定价的压力（刘易斯和琼斯，2015年）。在这种情况下，该行业需要提高竞争力，特别是通过改善安全性、质量和生产率，以及解决供应网络中的低效率问题。工业建筑项目的管理主要依赖于建筑专业人员的知识和经验（Manyika等人，2011年），并支持企业资源规划（ERP）系统。工业建筑公司，像大多数制造公司一样，“没有很好地利用所有生成和收集的数据来提高生产系统效率”（Dean，2014）。他们努力管理、分析数据并将其转换为有用的信息，以改进决策，提高竞争力。我们的目标是引入新一代的定量驱动的分析系统，利用收集的数据，并动态地取代模拟模型在真实的时间，以加强施工生产过程的管理。我们提出的研究方法将建立在我们在模拟和工业合作伙伴的知识的学术实力。具体来说，拟议的研究旨在开发一个基于模拟的分析建设（SAC）框架，以支持新一代的决策支持系统（DSS），开发模拟环境部署框架，并通过一些实施证明其有效性在工业部门与工业合作伙伴，在生产力，安全和质量管理领域，在工业建筑供应链分析中。