Development of a Multi-Criteria Decision Making Model for Selection of Appropriate Robots for the Aerospace Industry

被引:1
作者
Celek, Osman Emre [1 ]
Yurdakul, Mustafa [2 ]
Ic, Yusuf Tansel [3 ]
机构
[1] TUSAS Turk Havacilik & Uzay Sanayii, Ankara, Turkiye
[2] Gazi Univ, Muhendislik Fak, Makine Muhendisligi Bolumu, Ankara, Turkiye
[3] Baskent Univ, Muhendislik Fak, Endustri Muhendisligi Bolumu, Ankara, Turkiye
来源
JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI | 2023年 / 26卷 / 01期
关键词
Aerospace industry; Industrial robot selection; multi-criteria decision making; MOORA method; TOPSIS method; MOORA METHOD; SYSTEM;
D O I
10.2339/politeknik.886117
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Industrial robots have different capabilities and features according to their application areas and requirements. In a sector with highly specialized processes such as aerospace industry, accurate selection of an industrial robot to meet the requirements is a very complex and difficult process. The main challenge is that there are many appropriate robots for the aircraft manufacturing and assembly processes. In addition, many technical criteria should be evaluated for determining the most appropriate robot among the industrial robots. In this study the MOORA and TOPSIS method, which are multi-criteria decision making methods are presented for the selection of appropriate industrial robots in the aerospace industry. A real case study related to the application of the methods is also included in the paper content.
引用
收藏
页码:267 / 281
页数:15
相关论文
共 50 条
  • [41] Multi-criteria decision making in the selection of machining parameters for Inconel 718
    Thirumalai, R.
    Senthilkumaar, J. S.
    [J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2013, 27 (04) : 1109 - 1116
  • [42] Comparison of Multi-criteria Decision Making Methods for Selection of Handmade Carpets
    Gupta, Shravan Kumar
    [J]. JOURNAL OF NATURAL FIBERS, 2022, 19 (02) : 658 - 668
  • [43] Drone selection using multi-criteria decision-making methods
    Khan, Muhammad Sohaib
    Shah, Syed Irtiza Ali
    Javed, Ali
    Qadri, Nafees Mumtaz
    Hussain, Nadeem
    [J]. PROCEEDINGS OF 2021 INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGIES (IBCAST), 2021, : 256 - 270
  • [44] An ensemble approach for portfolio selection in a multi-criteria decision making framework
    Biswas S.
    Bandyopadhyay G.
    Guha B.
    Bhattacharjee M.
    [J]. Decision Making: Applications in Management and Engineering, 2019, 2 (02): : 138 - 158
  • [45] An original multi-criteria decision-making algorithm for solar panels selection in buildings
    El-Bayeh, Claude Ziad
    Alzaareer, Khaled
    Brahmi, Brahim
    Zellagui, Mohamed
    Eicker, Ursula
    [J]. ENERGY, 2021, 217
  • [46] Multi-Criteria Decision-Making-Based Model Selection Proposal in Artificial Learning Process
    Kocoglu, Fatma Onay
    [J]. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2022, 21 (05) : 1467 - 1486
  • [47] A stochastic fuzzy multi-criteria decision-making model for optimal selection of clean technologies
    Promentilla, Michael Angelo B.
    Janairo, Jose Isagani B.
    Yu, Derrick Ethelbhert C.
    Pausta, Carla Mae J.
    Beltran, Arnel B.
    Huelgas-Orbecido, Aileen P.
    Tapia, John Frederick D.
    Aviso, Kathleen B.
    Tan, Raymond R.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 183 : 1289 - 1299
  • [48] A fuzzy multi-criteria decision-making model for construction contractor prequalification
    Nieto-Morote, Ana
    Ruz-Vila, Francisco
    [J]. AUTOMATION IN CONSTRUCTION, 2012, 25 : 8 - 19
  • [49] A Multi-Criteria Decision Model for Construction Material Supplier Selection
    Cengiz, A. E.
    Aytekin, O.
    Ozdemir, I.
    Kusan, H.
    Cabuk, A.
    [J]. CREATIVE CONSTRUCTION CONFERENCE 2017, CCC 2017, 2017, 196 : 294 - 301
  • [50] MULTI-CRITERIA DECISION MAKING METHODS FOR DETERMINING APPROPRIATE HOST COUNTRIES FOR SYRIAN REFUGEES
    Oruc, Kenan Oguzhan
    Kilinc, Merve
    [J]. JOURNAL OF MEHMET AKIF ERSOY UNIVERSITY ECONOMICS AND ADMINISTRATIVE SCIENCES FACULTY, 2018, 5 (02): : 223 - 244