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

本研究旨在通过构建模块化计算机辅助工艺规划（CAPP）系统的原型基础设施来证明制造计划软件快速发展的概念。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。CAPP系统的两个模块，工艺选择/排序和中间加工公差分配，将被开发并与NIST研究人员提出的制造计划软件快速发展的基础设施集成。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、自动化的对象组合机制和自动化的软件验证过程。软件系统在敏捷制造概念的实现中起着关键作用。然而，现有的制造应用软件系统很难根据用户的动态需求进行修改，因此现有的软件系统对敏捷制造并不有用。该研究将为制造应用软件行业开发下一代敏捷制造制造计划软件提供一个通用框架和具体方法。

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.