Abstract

In this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected, stored and used by the system in the form of set of experiences (SOEs). Here we discuss the working mechanism of the PIP module and show how experiential knowledge relating to the inspection of products that have features and functions in common can be used to enhance product inspection planning during early stages of product development. Our discussion commences with an introduction to fundamental concepts and a general system overview. We then describe the development of our SVPD system’s PIP module, and a case study we undertook for validation purposes. Results of the case study show that our system is capable of supporting product inspection planning in smart manufacturing, and thus has a vital role to play in Industry 4.0.

摘要

在本文中，我们描述了如何使用我们的智能虚拟产品开发（SVPD）系统来增强产品检验计划。SVPD系统由三个主要模块组成，分别是设计知识管理（DKM）模块，制造能力和过程计划（MCAPP）模块以及产品检验计划（PIP）模块。系统以体验集（SOE）的形式收集，存储和使用与正式决策事件相关的经验知识。在这里，我们讨论了PIP模块的工作机制，并展示了如何在产品开发的早期阶段将与具有共同特征和功能的产品检验相关的经验知识用于增强产品检验计划。我们的讨论从介绍基本概念和总体系统概述开始。然后，我们描述SVPD系统的PIP模块的开发，以及为验证目的而进行的案例研究。案例研究结果表明，我们的系统能够支持智能制造中的产品检验计划，因此在工业4.0中起着至关重要的作用。