Selection of optimal assembly strategy at an engine assembly plant using fuzzy multi-criteria decision-making tools

被引:0
|
作者
Pattanaik L.N. [1 ]
Jena A. [1 ]
机构
[1] Department of Production Engineering, Birla Institute of Technology, Mesra, Ranchi
关键词
Assembly strategy; Fuzzy-TOPSIS; Fuzzy-VIKOR; MCDM; Multi-criteria decision making; RASs; Reconfigurable assembly systems;
D O I
10.1504/IJISE.2020.110244
中图分类号
学科分类号
摘要
This paper is presenting a methodology to select an optimal assembly strategy using two fuzzy multi-criteria decision making (MCDM) tools as illustrated in a case study of an engine assembly plant. Based on an automotive engine assembly system, the existing challenges and related criteria are identified. Four potential assembly strategies compatible with existing system are developed to address the challenges. Two different fuzzy MCDM tools (VIKOR and TOPSIS) are applied for the multi-criteria problem to select the optimal assembly strategy. Four decision makers (DMs) from middle-level management are involved during the process. A comparison of results from the two MCDM tools is performed to consolidate the decision. For the present case, reconfigurable assembly system (RAS) is found to be the most preferred assembly strategy by both the MCDM tools. The ranking for rest of the alternatives are also found. Copyright © 2020 Inderscience Enterprises Ltd.
引用
收藏
页码:281 / 299
页数:18
相关论文
共 50 条
  • [1] A Fuzzy Multi-Criteria Decision-Making Approach for Agricultural Land Selection
    Tuncel, Gonca
    Gunturk, Busranur
    SUSTAINABILITY, 2024, 16 (23)
  • [2] Optimal Selection of Stock Portfolios Using Multi-Criteria Decision-Making Methods
    Jing, Dongmei
    Imeni, Mohsen
    Edalatpanah, Seyyed Ahmad
    Alburaikan, Alhanouf
    Khalifa, Hamiden Abd El-Wahed
    MATHEMATICS, 2023, 11 (02)
  • [3] Optimal selection of safety recommendations: A hybrid fuzzy multi-criteria decision-making approach to HAZOP
    Cheraghi, Morteza
    Baladeh, Aliakbar Eslami
    Khakzad, Nima
    JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2022, 74
  • [4] Unsupervised feature selection: A fuzzy multi-criteria decision-making approach
    Dowlatshahi, M. B.
    Hashemi, A.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2023, 20 (07): : 55 - 70
  • [5] Drone selection using multi-criteria decision-making methods
    Khan, Muhammad Sohaib
    Shah, Syed Irtiza Ali
    Javed, Ali
    Qadri, Nafees Mumtaz
    Hussain, Nadeem
    PROCEEDINGS OF 2021 INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGIES (IBCAST), 2021, : 256 - 270
  • [6] Fuzzy multi-criteria decision making method for machine selection
    Ertugrul, Irfan
    Gunes, Mustafa
    ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 638 - +
  • [7] A MULTI-CRITERIA DECISION-MAKING APPROACH FOR GREENOVATIVE SUPPLIER SELECTION
    Buyukselcuk, Elif Caloglu
    Tozan, Hakan
    Vayvay, Ozalp
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2022, 29 (02): : 283 - 301
  • [8] Fuzzy α-discounting method for multi-criteria decision-making
    Karaman, Atilla
    Dagdeviren, Metin
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2015, 38 (07) : 855 - 865
  • [9] Using multi-criteria decision making for selection of the optimal strategy for municipal solid waste management
    Jovanovic, Sasa
    Savic, Slobodan
    Jovicic, Nebojsa
    Boskovic, Goran
    Djordjevic, Zorica
    WASTE MANAGEMENT & RESEARCH, 2016, 34 (09) : 884 - 895
  • [10] Fuzzy multi-criteria decision-making in the assignment problem
    DrorRein, E
    Mitchell, HB
    SIGNAL AND DATA PROCESSING OF SMALL TARGETS 1997, 1997, 3163 : 525 - 534