Selection of engine oil using multi-attribute decision-making methods

被引:0
|
作者
Salunke A. [1 ]
Lokhande A. [1 ]
Neharkar A. [1 ]
Satpute R. [1 ]
Kamble A. [1 ]
机构
[1] School of Mechanical and Civil Engineering, MIT Academy of Engineering, Maharashtra, , Pune, Alandi
关键词
additive ratio assessment method; analytical hierarchy process; elimination and choice translating reality method; engine oils selection; multi-attribute decision-making method; organisation rangement et synthese de donnes relationnelles method; preference ranking organisation method for enrichment evaluation;
D O I
10.1504/ijise.2022.126025
中图分类号
学科分类号
摘要
The role of internal combustion engines in automobile industry has already been well recognised. It is made with closer precisions thus involve higher costs and also, it is crucial to ensure efficient working of its various components. Engine oil of specific grades is used for reducing wear and tear of components and cooling of parts of the engine. Choice of appropriate engine oil for engines is critical task for designers. Designers need to identify oils with specific properties and functionalities in order to fulfil end requirements and desired functionalities of the engine. The different oils possess different properties. Systematic approach must be used for selection of oil. Thus, the present work focuses on the selection procedure for best engine oil using four criteria selected by using multi-attribute decision-making method. The proposed methods help to evaluate and rank different engine oils in order to assist the decision maker in selecting appropriate engine oil. Copyright © 2022 Inderscience Enterprises Ltd.
引用
收藏
页码:96 / 117
页数:21
相关论文
共 50 条
  • [21] Landfill site selection using combination of fuzzy logic and multi-attribute decision-making approach
    Jamshidi-Zanjani, Ahmad
    Rezaei, Majid
    ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (13)
  • [22] Landfill site selection using combination of fuzzy logic and multi-attribute decision-making approach
    Ahmad Jamshidi-Zanjani
    Majid Rezaei
    Environmental Earth Sciences, 2017, 76
  • [23] A Fuzzy Stochastic Multi-Attribute Group Decision-Making Approach for Selection Problems
    S. Meysam Mousavi
    Fariborz Jolai
    Reza Tavakkoli-Moghaddam
    Group Decision and Negotiation, 2013, 22 : 207 - 233
  • [24] Partner selection of virtual enterprises in view of multi-attribute group decision-making
    Zhang M.
    Xiao R.-B.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2011, 39 (01): : 124 - 128
  • [25] A Fuzzy Stochastic Multi-Attribute Group Decision-Making Approach for Selection Problems
    Mousavi, S. Meysam
    Jolai, Fariborz
    Tavakkoli-Moghaddam, Reza
    GROUP DECISION AND NEGOTIATION, 2013, 22 (02) : 207 - 233
  • [26] Learning and strategy selection in multi-attribute decision making
    Arndt, Broeder
    Tilmann, Betsch
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 547 - 547
  • [27] Using multi-attribute decision-making and evaluation: Techniques for rehabilitation services
    Lewis, DR
    Johnson, D
    Bruininks, R
    JOURNAL OF INTELLECTUAL DISABILITY RESEARCH, 2000, 44 : 364 - 365
  • [28] Environmentally conscious design by using fuzzy multi-attribute decision-making
    Tsai-Chi Kuo
    Sheng-Hung Chang
    Samuel H. Huang
    The International Journal of Advanced Manufacturing Technology, 2006, 29 : 419 - 425
  • [29] Environmentally conscious design by using fuzzy multi-attribute decision-making
    Tsai-Chi Kuo
    Sheng-Hung Chang
    Samuel H. Huang
    The International Journal of Advanced Manufacturing Technology, 2006, 29 : 209 - 215
  • [30] Environmentally conscious design by using fuzzy multi-attribute decision-making
    Kuo, Tsai-Chi
    Chang, Sheng-Hung
    Huang, Samuel H.
    International Journal of Advanced Manufacturing Technology, 2006, 29 (05): : 419 - 425