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Artificial intelligence planner: an approach for integrating design and planning of bespoke precast concrete production

机译:人工智能规划师:一种整合定制预制混凝土生产设计和规划的方法

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Precast concrete industry delivers many advantages to construction industry in terms of saving time, cost, and reducing congestion on construction sites. The research concentrates on bespoke type of precast products that precast companies are facing the problem of long customer lead-times. Most of time and efforts spent for production process is related to product design and production planning. To address the long lead-time problem, the authors have proposed an automatic planning system called artificial intelligence planner (AIP). The AIP retrieves product data from the design process for the automatic planning process. In order to develop requirements and specifications of the AIP, this paper describes precast design and production planning processes from a precast company in detail. Data integration concepts and planning techniques that provide development background are reviewed; also system architecture, and components of the AIP are described. The system is expected to reduce customer lead-time, help precast companies manage changes in product requirements and/or delivery dates, and therefore the construction industry will share the benefits.
机译:预制混凝土行业在节省时间,成本和减少施工地点的拥堵方面提供了许多优势。该研究专注于预制公司面临长期客户交付时间的问题的预制产品的定制类型。生产过程所花费的大部分时间和努力与产品设计和生产计划有关。为了解决长期的交付时间问题,作者提出了一种称为人工智能计划者(AIP)的自动规划系统。 AIP从自动规划过程的设计过程中检索产品数据。为了开发AIP的要求和规格,本文详细介绍了预制公司的预制设计和生产计划流程。综述提供发展背景的数据集成概念和规划技术;还描述了系统架构和AIP的组件。该系统预计将减少客户的汇总时间,帮助预预制公司管理产品要求和/或交货日期的变化,因此建筑业将分享福利。

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