Product design and manufacturing process based ontology for manufacturing knowledge reuse

被引:68
|
作者
Chhim, Peter [1 ]
Chinnam, Ratna Babu [1 ]
Sadawi, Noureddin [2 ]
机构
[1] Wayne State Univ, Dept Ind & Syst Engn, Detroit, MI 48202 USA
[2] Imperial Coll London, Dept Surg & Canc, South Kensington Campus, London SW7 2AZ, England
关键词
APQP; Knowledge management; Manufacturing ontology; Semantic web; SPARQL; SYSTEM ENGINEERING ONTOLOGY; INTEROPERABILITY; REPRESENTATION; MODEL;
D O I
10.1007/s10845-016-1290-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an effective product design and manufacturing process based ontology for manufacturing knowledge reuse. While a number of related efforts exist in the literature, there lacks a granular, interconnected product design and manufacturing process based ontology that can lead to greater industry adoption and knowledge reuse. In particular, the proposed ontology leverages an established industry standard to connect product design and manufacturing process knowledge in a logical and effective manner. The resulting effort is a general ontological framework that can be widely employed by the manufacturing industry. Additionally, the feasibility of implementing the ontology enabled knowledge reuse framework is demonstrated through a real-world case study.
引用
收藏
页码:905 / 916
页数:12
相关论文
共 50 条
  • [1] Product design and manufacturing process based ontology for manufacturing knowledge reuse
    Peter Chhim
    Ratna Babu Chinnam
    Noureddin Sadawi
    [J]. Journal of Intelligent Manufacturing, 2019, 30 : 905 - 916
  • [2] The Design and Development of Manufacturing Process Knowledge Base System Based on Ontology
    Song, Haojie
    Wang, Huifen
    Liu, Tingyu
    Zhang, Qiqi
    Gao, Binbin
    [J]. COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING, CDVE 2016, 2016, 9929 : 9 - 16
  • [3] KNOWLEDGE-BASED ADAPTATION OF PRODUCT AND PROCESS DESIGN IN BLISK MANUFACTURING
    Ganser, Philipp
    Landwehr, Markus
    Schiller, Sven
    Vahl, Christopher
    Mayer, Sebastian
    Bergs, Thomas
    [J]. PROCEEDINGS OF ASME TURBO EXPO 2021: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, VOL 7, 2021,
  • [4] Knowledge-Based Adaptation of Product and Process Design in Blisk Manufacturing
    Ganser, Philipp
    Landwehr, Markus
    Schiller, Sven
    Vahl, Christopher
    Mayer, Sebastian
    Bergs, Thomas
    [J]. JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2022, 144 (01):
  • [5] Knowledge based distributed product design and manufacturing
    Mendikoa, I
    Sorli, M
    Barbero, JI
    Carrillo, A
    [J]. PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOLS 1 AND 2, 2005, : 679 - 684
  • [6] Reuse of manufacturing knowledge to facilitate platform-based product realization
    Alizon, Fabrice
    Shooter, Steven B.
    Simpson, Timothy W.
    [J]. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2006, 6 (02) : 170 - 178
  • [7] Process comprehension for shopfloor manufacturing knowledge reuse
    Zhang, Xianzhi
    Nassehi, Aydin
    Safaieh, Mehrdad
    Newman, Stephen T.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (23-24) : 7405 - 7419
  • [8] Research on ontology-based integration of product knowledge for collaborative manufacturing
    Jiang, Yang
    Peng, Gaoliang
    Liu, Wenjian
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 49 (9-12): : 1209 - 1221
  • [9] Research on ontology-based integration of product knowledge for collaborative manufacturing
    Yang Jiang
    Gaoliang Peng
    Wenjian Liu
    [J]. The International Journal of Advanced Manufacturing Technology, 2010, 49 : 1209 - 1221
  • [10] An Ontology of Manufacturing Knowledge for Design Decision Support
    Wang, Keqin
    Tong, Shurong
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 10798 - 10802