A fuzzy set AHP-based DFM tool for rotational parts

被引:24
|
作者
Ong, SK [1 ]
Sun, MJ [1 ]
Nee, AYC [1 ]
机构
[1] Natl Univ Singapore, Dept Mech & Prod Engn, Singapore 119260, Singapore
关键词
design for manufacturability; concurrent engineering; analytic hierarchy process; fuzzy sets;
D O I
10.1016/S0924-0136(03)00076-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Design for manufacturability (DFM) requires product designers to simultaneously consider the manufacturing issues of a product along with the geometrical and design aspects. This paper reports a computer-aided DFM tool for product designers to evaluate the manufacturability of their designs. A fuzzy set-based manufacturability evaluation algorithm is formulated to generate relative manufacturability indices (MIs) to provide product designers with a better understanding of the relative ease or difficulty of machining the features in their designs. This computer-aided DFM system is developed for rotational parts. The MI of machining a part is decomposed into three components, namely, the support index, the clamping index, and the feature index. An analytic hierarchy process (AHP) method is introduced to assign weighting factors to features to reflect their functional importance. Results from the case studies show that the system is capable of generating sound MIs that could help product designers in making designs easier to manufacture, while not compromising the functional requirements of their designs. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:223 / 230
页数:8
相关论文
共 50 条
  • [1] A fuzzy set AHP-based DFM tool under concurrent engineering environment
    Liu, H. G.
    Mo, R.
    Fan, Q. M.
    Chang, Z. Y.
    Zhao, Y.
    [J]. E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY, 2008, 10-12 : 145 - +
  • [2] Choice of a NeuroIS Tool: An AHP-Based Approach
    Shitkova, Maria
    Brocke, Jan vom
    Riedl, Rene
    [J]. INFORMATION SYSTEMS AND NEUROSCIENCE: GMUNDEN RETREAT ON NEUROIS 2015, 2015, : 51 - 58
  • [3] Fuzzy inference and AHP-based alternative evaluation tool in the development of sustainable residential land
    In-Su Jung
    Chan-Sik Lee
    [J]. KSCE Journal of Civil Engineering, 2012, 16 : 273 - 282
  • [4] Fuzzy inference and AHP-based alternative evaluation tool in the development of sustainable residential land
    Jung, In-Su
    Lee, Chan-Sik
    [J]. KSCE JOURNAL OF CIVIL ENGINEERING, 2012, 16 (03) : 273 - 282
  • [5] An AHP-based fuzzy evaluation on business merge risk
    Jiang Shuo
    Cao Hongmei
    [J]. ICCSE'2006: Proceedings of the First International Conference on Computer Science & Education: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION, 2006, : 47 - 50
  • [6] A fuzzy AHP-based methodology for project prioritization and selection
    Amir Shaygan
    Özlem Müge Testik
    [J]. Soft Computing, 2019, 23 : 1309 - 1319
  • [7] A fuzzy AHP-based methodology for project prioritization and selection
    Shaygan, Amir
    Testik, Ozlem Muge
    [J]. SOFT COMPUTING, 2019, 23 (04) : 1309 - 1319
  • [8] Fuzzy AHP-Based Risk Assessment Methodology for PPP Projects
    Li, Jie
    Zou, Patrick X. W.
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT-ASCE, 2011, 137 (12): : 1205 - 1209
  • [9] A FUZZY AHP-BASED FAULT DIAGNOSIS FOR SEMICONDUCTOR LITHOGRAPHY PROCESS
    Shen, Chien-wen
    Cheng, Ming Jen
    Chen, Cheng-Wu
    Tsai, Feng-Ming
    Cheng, Yu-Chenr
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (02): : 805 - 815
  • [10] Fuzzy Logic and AHP-Based Ranking of Cloud Service Providers
    Chahal, Rajanpreet Kaur
    Singh, Sarbjeet
    [J]. COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 1, CIDM 2015, 2016, 410 : 337 - 346