An Ontology of Manufacturing Knowledge for Design Decision Support

被引:0
|
作者
Wang, Keqin [1 ]
Tong, Shurong [1 ]
机构
[1] NW Polytech Univ, Sch Management, Xian 710072, Peoples R China
关键词
ontology engineering; manufacturing knowledge; design decision; design support;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Product design needs many kinds of knowledge which may be derived from marketing, manufacturing, assembly, sales, delivery, maintenance, and disposal. Manufacturing knowledge is one of the most important sources for the efficient and effective support to product design decisions. This paper proposes an ontological approach to analyzing what kinds of manufacturing knowledge the design decisions need. The commonly-used methodology is adopted for the ontology development. The work, firstly, focuses on the identification of all the design activities along with the Pahl and Beitz's engineering design process including planning and task clarification, conceptual design, embodiment design, and detail design. Moreover, related manufacturing knowledge, which are classified into three categories such as machine, material, and manufacturing processes, for design support are also identified along with the identification process of different design activities. Then, the ontology is constructed by using the software Protege and some results are illustrated. Finally, some conclusions and future works are presented.
引用
收藏
页码:10798 / 10802
页数:5
相关论文
共 50 条
  • [31] Decision Model for the Use of the Application for Knowledge Transfer Support in Manufacturing Enterprises
    Patalas-Maliszewska, Justyna
    Krebs, Irene
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2015, 2015, 228 : 48 - 55
  • [32] A DESIGN FOR ADDITIVE MANUFACTURING ONTOLOGY
    Dinar, Mahmoud
    Rosen, David W.
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2016, VOL 1B, 2016,
  • [33] A Knowledge-Based Approach for Decision Support System in Additive Manufacturing
    Jarrar, Qussay
    Belkadi, Farouk
    Bernard, Alain
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V, 2021, 634 : 319 - 327
  • [34] A Design for Additive Manufacturing Ontology
    Dinar, Mahmoud
    Rosen, David W.
    [J]. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2017, 17 (02)
  • [35] Integrated design–manufacturing decision support for additively manufactured components
    Lydia Lawand
    Petter Andersson
    Michael Kokkolaras
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 119 : 3917 - 3930
  • [36] OUTSOURCING LOGISTICS DECISION SUPPORT SYSTEM FOR PRODUCT DESIGN AND MANUFACTURING
    Bargelis, A.
    [J]. PROCEEDINGS ICIL'2010: INTERNATIONAL CONFERENCE ON INDUSTRIAL LOGISTICS - LOGISTICS AND SUSTAINABILITY, 2010, : 13 - 20
  • [37] Editorial for the special issue of decision support for sustainable design and manufacturing
    Setchi, Rossi
    Liu, Ying
    Li, Weidong
    [J]. JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2015, 32 (01) : 1 - 2
  • [38] Green manufacturing supply chain design and operations decision support
    Bhattacharya, Arijit
    Dey, Prasanta Kumar
    Ho, William
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2015, 53 (21) : 6339 - 6343
  • [39] An Ontology-based Engineering system to support aircraft manufacturing system design
    Arista, Rebeca
    Zheng, Xiaochen
    Lu, Jinzhi
    Mas, Fernando
    [J]. JOURNAL OF MANUFACTURING SYSTEMS, 2023, 68 (270-288) : 270 - 288
  • [40] Intelligent decision support system for flexible manufacturing system design
    Borenstein, D
    [J]. ANNALS OF OPERATIONS RESEARCH, 1998, 77 (0) : 129 - 156