GOALI/Faculty and Students in Industry: Rapid Development of Computer Aided Process Planning Systems

小行星9510456 本研究旨在通过建立一个模块化计算机辅助工艺规划（CAPP）系统的原型基础设施，证明制造规划软件的快速开发的概念。 在NIST实习期间，将通过NIST和工业界的合作从工业界收集数据。 两个模块的CAPP系统，工艺选择/排序和中间加工公差分配，将开发和集成的基础设施的快速发展的制造规划软件提出的NIST的研究人员。 NIST的贡献将是建立一个开放的软件对象库、功能和数据需求规范机制、基于知识的映射机制、自动化对象组合机制和自动化软件验证程序。 软件系统在敏捷制造概念的实施中起着关键作用。 然而，很难修改现有的制造应用软件系统，以适应用户的动态需求，所以目前可用的软件系统是没有用的敏捷制造。 这项研究应导致一个通用的框架，以及具体的方法，制造应用软件行业可以使用在开发下一代敏捷制造的制造规划软件。

9510456 Zhang This research aims to prove the concept of rapid development of manufacturing planning software by building a prototype infrastructure for modular computer-aided process planning (CAPP) systems. Data will be collected from industry through the collaboration of NIST and industry during an internship at NIST. Two modules of the CAPP system, process selection/sequencing and intermediate machining tolerance allocation, will be developed and integrated with the infrastructure of rapid development of manufacturing planning software proposed by NIST researchers. The NIST contribution will be to build an open software object library, functional and data requirement specification mechanisms, a knowledge-based mapping mechanism, an automated object composition mechanism, and automated software validation procedures. Software systems play a key role in the implementation of an agile manufacturing concept. However, it is difficult to modify existing manufacturing application software systems to suit a user's dynamic needs, so currently available software systems are not useful for agile manufacturing. This research should result in a general framework as well as specific methods that the manufacturing application software industry can use in developing the next generation of manufacturing planning software for agile manufacturing.