Knowledge-Based Approach to Assembly Sequence Planning

Author:

Wu Meiping1,Prabhu Vittal2,Li Xiaoyu3

Affiliation:

1. School of Mechanical Engineering, Jiangnan University, Wuxi, Jiangsu, China

2. Marcus Department of Industrial and Manufacturing Engineering, Penn State University, University Park, State College, Pennsylvania, USA

3. School of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

Abstract

Assembly sequence planning plays a major role in the manufacturing industry. There are still many challenges in the area of assembly planning. One of the significant reasons is the weakness in effective description of assembly knowledge and information. With the purpose of reducing computational complexity, this paper presents a method based on engineering knowledge approach to the assembly sequence planning. The DACG (Directed Assembly Connection Graph) proposed provides an appropriate way to express both geometric information and non-geometric knowledge. In order to increase the assembly planning efficiency, the DACG includes engineering knowledge and semantic in design, manufacturing and assembly fields. Product semantic information model could offer much useful information for designer to finish the assembly (process) design and make right decision in that process. A product assembly planning example is presented to illustrate the effectiveness of the proposed approach. Preliminary experience with the approach indicates the potential to reduce lead times and thereby can help in completing new product launch projects on time.

Publisher

SAGE Publications

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Knowledge graph-based manufacturing process planning: A state-of-the-art review;Journal of Manufacturing Systems;2023-10

2. Optimal robotic assembly sequence planning with tool integrated assembly interference matrix;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2023

3. Bat Algorithm on Task Scheduling of Assembly Production-Line Manufacturing on Digital Manufacturing System (DMS);Lecture Notes in Electrical Engineering;2022

4. Dynamic Assembly Planning and Task Assignment;Advanced Human-Robot Collaboration in Manufacturing;2021

5. A hybrid technology for assembly sequence planning of reflector panels;Assembly Automation;2017-09-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3