Selection of layered manufacturing techniques by an adaptive AHP decision model

被引:46
作者
Armillotta, Antonio [1 ]
机构
[1] Politecn Milan, Dipartimento Meccan, I-20158 Milan, Italy
关键词
rapid prototyping; rapid tooling; computer-aided selection; analytic hierarchy process;
D O I
10.1016/j.rcim.2007.06.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The paper describes a computer-based tool for the selection of techniques used in the manufacture of prototypes and limited production runs of industrial products. The underlying decision model, based on the AHP methodology, ranks available techniques by a score resulting from the composition of priorities at different levels, each considering homogeneous and independent evaluation criteria. At each level, priorities are calculated from pairwise comparisons among either manufacturing techniques or properties of the techniques with respect to different types of application. This approach is enhanced with a procedure that adapts the parameters of the decision model to prototype specifications. Compared to scoring procedures, the method reduces the ambiguity on the values of weighting factors and allows an easier interpretation of the rationale behind the selection process. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:450 / 461
页数:12
相关论文
共 50 条
  • [41] Selection of Sinopec lubricating oil producing bases by using the AHP model
    Song Yunchang
    Song Zhaozheng
    Zheng Chengguo
    Jiang Qingzhe
    Xu Chunming
    PETROLEUM SCIENCE, 2007, 4 (01) : 90 - 96
  • [42] Developing a selection model for media agencies using the AHP and sensitivity analysis
    Hsu, Pi-Fang
    JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2011, 14 (01) : 123 - 139
  • [43] Selection of Sinopec Lubricating Oil Producing Bases by Using the AHP Model
    Song Yunchang 1
    Petroleum Science, 2007, (01) : 90 - 96
  • [44] Green innovation ability evaluation of manufacturing enterprises based on AHP–OVP model
    Xiongfeng Pan
    Cuicui Han
    Xiaowei Lu
    Zhiming Jiao
    Yang Ming
    Annals of Operations Research, 2020, 290 : 409 - 419
  • [45] A Fuzzy-AHP-Based Decision Support System for Maintenance Strategy Selection in Facility Management
    Pun, K. P.
    Tsang, Y. P.
    Choy, K. L.
    Tang, Valerie
    Lam, H. Y.
    2017 PORTLAND INTERNATIONAL CONFERENCE ON MANAGEMENT OF ENGINEERING AND TECHNOLOGY (PICMET), 2017,
  • [46] An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem
    Zhang, Pengdan
    Liu, Qing
    Kang, Bingyi
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 40 (05) : 9655 - 9668
  • [47] Applying AHP for supplier selection in aviation: a multi-criteria decision-making approach
    Alharasees, Omar
    Kale, Utku
    INTERNATIONAL JOURNAL OF SUSTAINABLE AVIATION, 2023, 9 (04) : 293 - 313
  • [48] A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection
    Mathew, Manoj
    Chakrabortty, Ripon K.
    Ryan, Michael J.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 96
  • [49] DEVELOPMENT OF AHP BASED MODEL FOR DECISION MAKING ON E-LEARNING IMPLEMENTATION
    Begicevic, Nina
    Divjak, Blazenka
    Hunjak, Tihomir
    JOURNAL OF INFORMATION AND ORGANIZATIONAL SCIENCES, 2007, 31 (01) : 13 - 24
  • [50] Green innovation ability evaluation of manufacturing enterprises based on AHP-OVP model
    Pan, Xiongfeng
    Han, Cuicui
    Lu, Xiaowei
    Jiao, Zhiming
    Ming, Yang
    ANNALS OF OPERATIONS RESEARCH, 2020, 290 (1-2) : 409 - 419